db_id
stringclasses 69
values | question
stringlengths 24
325
| evidence
stringlengths 0
673
| SQL
stringlengths 23
804
| db_schema_T
stringlengths 79
5k
| db_schema
stringclasses 69
values | difficulty
stringclasses 1
value | question_id
int64 0
9.43k
| __index_level_0__
int64 0
9.43k
| db_schema_TC
stringlengths 41
1.68k
| sql_constructs
listlengths 2
17
| sql_complexity
int64 2
46
| sql_complexity_buckets
stringclasses 3
values | few_shots
dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
address
|
How many males are there in New Haven County's residential areas?
|
"NEW HAVEN" is the county; male refers to male_population
|
SELECT SUM(T1.male_population) FROM zip_data AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T2.county = 'NEW HAVEN'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,111 | 5,111 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
male_population INTEGER,
female_population INTEGER
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
363,
717,
1034
],
"case_2": [
363,
717,
1034
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
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700,
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1031,
1033,
1034,
1035,
1037,
1038,
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1042,
1043,
1044,
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1058,
1060,
1061,
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1065,
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1080,
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1089,
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1094,
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1098,
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1100,
1101,
1103,
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1105,
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1112,
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1119,
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1128,
1130,
1131,
1132,
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1134,
1135,
1136,
1137
]
}
|
address
|
Show the alias for the county at coordinate (18.090875, -66.867756).
|
coordinates refers to latitude, longitude; latitude = '18.090875; longitude = '-66.867756'
|
SELECT T2.alias FROM zip_data AS T1 INNER JOIN alias AS T2 ON T1.zip_code = T2.zip_code WHERE T1.latitude = 18.090875 AND T1.longitude = -66.867756
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,112 | 5,112 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
latitude REAL,
longitude REAL
)
CREATE TABLE `alias`
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
221,
587
],
"case_2": [
221,
587
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
For the city with the most elders, what's its area code?
|
city with most elders refers to Max(over_65)
|
SELECT T2.area_code FROM zip_data AS T1 INNER JOIN area_code AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.area_code ORDER BY T1.over_65 DESC LIMIT 1
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,113 | 5,113 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
over_65 INTEGER
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 10 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
619,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
664,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1076,
1077,
1078,
1080,
1082,
1083,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
address
|
For the county represented by Thompson Bennie G, how many bad aliases does it have?
|
SELECT COUNT(DISTINCT T2.bad_alias) FROM zip_congress AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T1.district = T3.cognress_rep_id WHERE T3.first_name = 'Thompson' AND T3.last_name = 'Bennie G'
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,114 | 5,114 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
District INTEGER
)
CREATE TABLE `avoid`
(
zip_code INTEGER,
bad_alias TEXT,
primary key zip_code, bad_alias,
foreign key zip_code references zip_datazip_code
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
35,
36,
37,
39,
40,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
109,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
230,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
509,
510,
511,
512,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
554,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
618,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
820,
822,
823,
824,
825,
827,
828,
829,
830,
831,
832,
833,
834,
835,
837,
838,
839,
841,
843,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
903,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1079,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
address
|
Give the location coordinates of the city with area code 636.
|
location coordinate refers to (latitude, longitude)
|
SELECT T2.latitude, T2.longitude FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 636
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,115 | 5,115 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
latitude REAL,
longitude REAL
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
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24,
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29,
30,
33,
34,
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58,
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62,
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69,
70,
71,
72,
73,
74,
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80,
81,
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85,
86,
87,
88,
89,
90,
91,
92,
93,
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95,
96,
97,
98,
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101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
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117,
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120,
121,
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127,
128,
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131,
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134,
135,
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139,
140,
141,
142,
143,
144,
145,
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150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
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199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
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229,
232,
233,
234,
235,
236,
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240,
241,
242,
243,
244,
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248,
250,
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258,
260,
261,
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263,
264,
265,
266,
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268,
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271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
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290,
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1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Show the zip code of the county represented by Buchanan Vernon.
|
SELECT T2.zip_code FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.first_name = 'Buchanan' AND T1.last_name = 'Vernon'
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,116 | 5,116 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
District INTEGER
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
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"case_2": [
-1
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165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
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943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
address
|
Which state is area code 878 in? Give the name of the state.
|
SELECT T2.state FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 878
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,117 | 5,117 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
state TEXT,
state_fips INTEGER,
foreign key state references stateabbreviation
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
address
|
How many counties are there in Virginia State?
|
"Virginia" is the state
|
SELECT COUNT(T2.county) FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Virginia'
|
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,118 | 5,118 |
CREATE TABLE `state`
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE `country`
(
county TEXT,
state TEXT, county,
foreign key state references stateabbreviation
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 7 |
simple
|
{
"case_1": [
1115
],
"case_2": [
1115
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Give the name and the position of the cbsa officer from the area with the zip code 45503.
|
position refers to latitude, longitude
|
SELECT T1.CBSA_name, T2.latitude, T2.longitude FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.zip_code = 45503 GROUP BY T1.CBSA_name, T2.latitude, T2.longitude
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,119 | 5,119 |
CREATE TABLE `CBSA`
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
latitude REAL,
longitude REAL,
CBSA INTEGER,
foreign key CBSA references CBSACBSA
)
|
[
"GROUP BY",
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
721
],
"case_2": [
721
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Tell the name of the county which is represented by Hartzler Vicky.
|
name of county refers to county
|
SELECT T1.county FROM country AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T3.first_name = 'Hartzler' AND T3.last_name = 'Vicky' GROUP BY T1.county
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,120 | 5,120 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
District INTEGER
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"GROUP BY",
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
551,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Calculate the average male median age of all the residential areas in Windham county.
|
average male median age refers to Divide (Sum(male_median_age), Count(county)); 'WINDHAM' is the county
|
SELECT SUM(T2.male_median_age) / COUNT(T2.median_age) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'WINDHAM'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,121 | 5,121 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
median_age REAL,
male_median_age REAL,
female_median_age REAL
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
363,
717,
1034
],
"case_2": [
363,
717,
1034
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
97,
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}
|
address
|
For the county where DeSantis Ron is from, what is the average female median age?
|
average female median age refers to Divide (Sum(female_median_age), Count(county))
|
SELECT SUM(T4.female_median_age) / COUNT(T1.county) FROM country AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id INNER JOIN zip_data AS T4 ON T1.zip_code = T4.zip_code WHERE T3.first_name = 'DeSantis' AND T3.last_name = 'Ron'
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,122 | 5,122 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
District INTEGER
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
median_age REAL,
male_median_age REAL,
female_median_age REAL
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"AND",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 15 |
medium
|
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803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
What is the area code of Bishopville, SC?
|
"Bishopville" is the city; 'SC' is the state
|
SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Bishopville' AND T2.state = 'SC'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,123 | 5,123 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
state_fips INTEGER,
foreign key state references stateabbreviation
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Name the bad alias of Geneva, AL.
|
"Geneva" is the city; 'AL' is the state
|
SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Geneva' AND T2.state = 'AL'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,124 | 5,124 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
state_fips INTEGER,
foreign key state references stateabbreviation
)
CREATE TABLE `avoid`
(
zip_code INTEGER,
bad_alias TEXT,
primary key zip_code, bad_alias,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
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20,
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26,
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29,
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33,
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36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
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58,
59,
62,
63,
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65,
66,
68,
69,
70,
71,
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80,
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85,
86,
88,
90,
91,
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95,
96,
97,
98,
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101,
102,
105,
106,
107,
111,
112,
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117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
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141,
142,
143,
144,
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148,
150,
151,
152,
153,
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160,
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167,
169,
170,
171,
172,
175,
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177,
178,
179,
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183,
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219,
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223,
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233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
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395,
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402,
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414,
415,
416,
417,
419,
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425,
426,
427,
428,
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438,
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491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
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507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
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636,
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638,
639,
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659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
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684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
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740,
741,
742,
743,
744,
745,
746,
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750,
751,
752,
753,
754,
755,
756,
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760,
761,
762,
763,
764,
765,
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771,
772,
773,
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775,
776,
777,
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780,
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783,
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790,
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793,
796,
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798,
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800,
802,
803,
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805,
806,
807,
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809,
810,
812,
813,
814,
818,
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822,
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824,
825,
827,
828,
829,
830,
832,
833,
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835,
837,
838,
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841,
844,
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846,
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850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
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871,
873,
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875,
876,
877,
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879,
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885,
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891,
892,
893,
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896,
897,
898,
900,
901,
902,
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907,
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912,
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925,
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930,
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980,
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988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Which city and state has the bad alias of Lawrenceville?
|
"Lawrenceville" is the bad_alias
|
SELECT T2.city, T2.state FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.bad_alias = 'Lawrenceville' GROUP BY T2.city, T2.state
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,125 | 5,125 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
state_fips INTEGER,
foreign key state references stateabbreviation
)
CREATE TABLE `avoid`
(
zip_code INTEGER,
bad_alias TEXT,
primary key zip_code, bad_alias,
foreign key zip_code references zip_datazip_code
)
|
[
"GROUP BY",
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Name both the alias and the bad alias of zip code 38015.
|
SELECT T1.alias, T2.bad_alias FROM alias AS T1 INNER JOIN avoid AS T2 ON T1.zip_code = T2.zip_code WHERE T1.zip_code = 38015
|
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,126 | 5,126 |
CREATE TABLE `alias`
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key zip_code references zip_datazip_code
)
CREATE TABLE `avoid`
(
zip_code INTEGER,
bad_alias TEXT,
primary key zip_code, bad_alias,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
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85,
86,
87,
88,
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90,
91,
92,
93,
94,
95,
96,
97,
98,
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101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
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134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
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159,
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162,
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176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
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190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
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423,
424,
425,
426,
427,
428,
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430,
431,
432,
433,
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435,
436,
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448,
449,
450,
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452,
453,
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455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
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771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
address
|
What is the zip code of the district represented by Steven A King?
|
SELECT T2.zip_code FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.first_name = 'King' AND T1.last_name = 'Steven A'
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,127 | 5,127 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
District INTEGER
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
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940,
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944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
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963,
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967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
address
|
What is the CBSA name and type in York, ME?
|
"York" is the city; 'ME' is the state; type refers to CBSA_type
|
SELECT T1.CBSA_name, T1.CBSA_type FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.city = 'York' AND T2.state = 'ME'
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,128 | 5,128 |
CREATE TABLE `CBSA`
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE `zip_data`
(
city TEXT,
state TEXT,
type TEXT,
state_fips INTEGER,
CBSA INTEGER,
foreign key state references stateabbreviation,
foreign key CBSA references CBSACBSA
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
721
],
"case_2": [
721
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
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1114,
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],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
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309,
311,
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330,
333,
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335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
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411,
412,
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414,
415,
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417,
419,
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425,
426,
427,
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429,
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597,
600,
601,
602,
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606,
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610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
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647,
648,
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650,
651,
652,
654,
655,
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658,
659,
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663,
665,
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668,
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670,
671,
672,
674,
675,
676,
677,
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681,
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683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
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725,
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728,
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735,
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832,
833,
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850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
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871,
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877,
878,
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881,
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894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
List 10 cities with a median age over 40. Include their zip codes and area codes.
|
median age over 40 refers to median_age > 40
|
SELECT T2.city, T2.zip_code, T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.median_age >= 40 LIMIT 10
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,129 | 5,129 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT,
median_age REAL,
male_median_age REAL,
female_median_age REAL
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"LIMIT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Name the county that has the bad alias of Druid Hills.
|
"Druid Hills" is the bad_alias
|
SELECT T2.county FROM avoid AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T1.bad_alias = 'Druid Hills'
|
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,130 | 5,130 |
CREATE TABLE `avoid`
(
zip_code INTEGER,
bad_alias TEXT,
primary key zip_code, bad_alias,
foreign key zip_code references zip_datazip_code
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
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744,
745,
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750,
751,
752,
753,
754,
755,
756,
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760,
761,
762,
763,
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765,
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767,
768,
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771,
772,
773,
774,
775,
776,
777,
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779,
780,
781,
782,
783,
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786,
787,
788,
790,
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793,
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802,
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804,
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825,
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830,
832,
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838,
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841,
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850,
851,
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853,
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861,
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896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
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962,
963,
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966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
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985,
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988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
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1066,
1067,
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1069,
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1075,
1078,
1080,
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1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
What is the area code of Phillips county in Montana?
|
"PHILLIPS" is the county; 'Montana' is the name of state
|
SELECT DISTINCT T1.area_code FROM area_code AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code INNER JOIN state AS T3 ON T2.state = T3.abbreviation WHERE T2.county = 'PHILLIPS' AND T3.name = 'Montana'
|
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,131 | 5,131 |
CREATE TABLE `state`
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code,
foreign key state references stateabbreviation
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
455
],
"case_2": [
455
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
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361,
363,
364,
365,
367,
368,
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370,
373,
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375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
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395,
398,
401,
402,
403,
405,
406,
407,
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419,
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436,
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440,
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700,
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710,
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717,
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722,
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772,
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777,
778,
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780,
782,
783,
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788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
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806,
807,
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822,
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825,
827,
828,
829,
830,
832,
833,
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835,
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838,
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846,
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850,
851,
852,
853,
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860,
861,
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863,
866,
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877,
878,
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880,
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889,
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1000,
1001,
1003,
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1006,
1008,
1010,
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1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Which district has the largest land area in Wisconsin? Write the full name of the congress representative and include the postal codes.
|
"Wisconsin" is the state; largest land area refers to Max(land_area); full name refers to first_name, last_name; postal code refers to zip_code
|
SELECT T2.zip_code, T1.first_name, T1.last_name FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.state = 'Wisconsin' ORDER BY T1.land_area DESC LIMIT 1
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,132 | 5,132 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
state TEXT,
District INTEGER,
land_area REAL,
foreign key abbreviation references stateabbreviation
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
619,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
664,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1076,
1077,
1078,
1080,
1082,
1083,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
address
|
How many states are in the central time zone? Write their full names.
|
central time zone refers to time_zone = 'Central'
|
SELECT SUM(CASE WHEN T1.time_zone = 'Central' THEN 1 ELSE 0 END) AS count FROM zip_data AS T1 INNER JOIN state AS T2 ON T2.abbreviation = T1.state WHERE T1.time_zone = 'Central'
|
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,133 | 5,133 |
CREATE TABLE `state`
(
abbreviation TEXT
primary key
)
CREATE TABLE `zip_data`
(
state TEXT,
time_zone TEXT,
state_fips INTEGER,
foreign key state references stateabbreviation
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"count",
"CASE",
"INNER JOIN",
"ON",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
54,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
122,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
205,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
245,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
508,
509,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
709,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
872,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
939,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
979,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1093,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1110,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Name 10 cities with their states that are under the Lexington-Fayette, KY office of the Canada Border Services Agency.
|
"Lexington-Fayette, KY" is the CBSA_name
|
SELECT DISTINCT T2.city, T2.state FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Lexington-Fayette, KY' LIMIT 10
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,134 | 5,134 |
CREATE TABLE `CBSA`
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE `zip_data`
(
city TEXT,
state TEXT,
state_fips INTEGER,
CBSA INTEGER,
foreign key state references stateabbreviation,
foreign key CBSA references CBSACBSA
)
|
[
"AS",
"SELECT",
"LIMIT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
721
],
"case_2": [
721
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
What is the percentage ratio between Democrats and Republicans in Indiana? List the zip codes belonging to Democrats.
|
"Democrats" and "Republicans" refers to party = 'Democrat" and party = 'Republican'; percentage ratio = Multiply (Divide (Count(party = 'Democrat"), Count(party = 'Republican')), 100)
|
SELECT CAST(COUNT(CASE WHEN T2.party = 'Democrat' THEN 1 ELSE NULL END) AS REAL) / COUNT(CASE WHEN T2.party = 'Republican' THEN 1 ELSE NULL END)FROM zip_congress AS T1 INNER JOIN congress AS T2 ON T2.cognress_rep_id = T1.district
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,135 | 5,135 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
party TEXT,
District INTEGER
)
CREATE TABLE `zip_congress`
(
district TEXT, district,
foreign key district references congresscognress_rep_id
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 16 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
299,
485,
573,
721,
762
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
4,
6,
11,
16,
22,
24,
27,
30,
36,
37,
42,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
86,
88,
91,
93,
96,
98,
106,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
138,
140,
142,
143,
146,
148,
150,
152,
153,
155,
158,
159,
160,
164,
167,
169,
170,
171,
175,
179,
183,
184,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
200,
201,
202,
206,
207,
212,
214,
215,
219,
223,
225,
226,
227,
229,
233,
234,
236,
243,
244,
247,
248,
254,
256,
258,
261,
264,
267,
268,
269,
271,
276,
277,
278,
279,
298,
299,
300,
301,
303,
304,
311,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
358,
360,
364,
370,
373,
374,
375,
382,
383,
384,
391,
392,
393,
394,
395,
398,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
443,
444,
445,
448,
451,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
508,
509,
514,
515,
516,
517,
518,
519,
520,
522,
526,
528,
532,
533,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
580,
581,
582,
589,
595,
596,
597,
606,
608,
611,
613,
620,
623,
627,
628,
630,
632,
633,
634,
637,
640,
641,
645,
646,
649,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
676,
681,
682,
686,
687,
688,
690,
694,
696,
705,
706,
710,
712,
714,
721,
723,
724,
727,
733,
734,
735,
736,
739,
740,
743,
744,
747,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
776,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
824,
827,
830,
832,
837,
838,
839,
841,
844,
848,
849,
851,
853,
857,
866,
867,
868,
870,
871,
874,
876,
877,
880,
886,
888,
893,
894,
896,
897,
898,
901,
902,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
963,
969,
975,
977,
981,
985,
986,
993,
996,
998,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1022,
1023,
1036,
1037,
1042,
1043,
1047,
1048,
1050,
1051,
1058,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1123,
1124,
1128,
1129,
1131,
1133,
1134,
1135,
1137
]
}
|
address
|
Calculate the ratio between the number of representatives in Alabama and the number of representatives in Illinois.
|
"Alabama" and "Illinois" are both state; Ratio = Divide (Count(state = 'Alabama'), Count(state = 'Illinois'))
|
SELECT CAST(COUNT(CASE WHEN state = 'Alabama' THEN cognress_rep_id ELSE NULL END) AS REAL) / COUNT(CASE WHEN state = 'Illinois' THEN cognress_rep_id ELSE NULL END) FROM congress
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,136 | 5,136 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
state TEXT,
foreign key abbreviation references stateabbreviation
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"CAST",
"COUNT",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
299,
485,
573,
762
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
6,
16,
24,
35,
42,
53,
61,
64,
71,
77,
81,
87,
93,
104,
106,
113,
119,
120,
126,
127,
129,
148,
152,
153,
155,
158,
171,
173,
184,
191,
192,
195,
201,
207,
212,
215,
219,
223,
225,
226,
234,
236,
248,
254,
258,
261,
263,
264,
267,
271,
279,
298,
299,
300,
303,
304,
305,
316,
317,
322,
323,
335,
347,
360,
375,
380,
383,
393,
398,
402,
406,
409,
412,
415,
423,
427,
436,
438,
443,
448,
452,
453,
458,
476,
478,
479,
485,
486,
487,
493,
500,
504,
508,
510,
514,
516,
517,
518,
528,
535,
537,
540,
547,
550,
560,
563,
564,
571,
573,
575,
580,
581,
597,
601,
620,
623,
628,
640,
646,
658,
661,
662,
666,
672,
676,
682,
686,
706,
710,
712,
723,
740,
744,
747,
750,
753,
762,
772,
776,
787,
788,
795,
796,
798,
800,
802,
805,
808,
813,
827,
841,
844,
848,
868,
870,
871,
874,
880,
894,
896,
898,
909,
912,
913,
922,
924,
926,
927,
935,
941,
943,
944,
958,
959,
978,
985,
998,
1008,
1012,
1023,
1036,
1048,
1062,
1064,
1066,
1069,
1070,
1072,
1078,
1082,
1087,
1092,
1098,
1121,
1128,
1129,
1131,
1133,
1134,
1135
]
}
|
address
|
Calculate the average of 2020's population in each zip code.
|
average of 2020 population in each zip code refers to Divide (Sum(population_2020), Count(zip_code))
|
SELECT CAST(SUM(population_2020) AS REAL) / COUNT(zip_code) FROM zip_data
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,137 | 5,137 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
population_2020 INTEGER
)
|
[
"AS",
"SELECT",
"SUM",
"CAST",
"COUNT",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
299,
363,
485,
573,
717,
721,
762
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
4,
6,
10,
11,
16,
22,
24,
27,
30,
35,
36,
37,
39,
42,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
83,
86,
87,
88,
89,
91,
93,
94,
96,
98,
104,
106,
112,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
140,
141,
142,
143,
146,
148,
152,
153,
155,
159,
160,
164,
167,
169,
170,
173,
175,
179,
183,
184,
186,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
201,
202,
206,
207,
212,
213,
214,
215,
219,
223,
225,
226,
227,
228,
229,
233,
234,
236,
243,
244,
247,
248,
254,
256,
261,
264,
267,
268,
269,
271,
276,
277,
278,
279,
286,
299,
300,
301,
303,
304,
311,
313,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
356,
358,
360,
363,
364,
365,
367,
370,
373,
374,
375,
378,
379,
380,
381,
382,
383,
384,
391,
392,
394,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
443,
444,
445,
447,
448,
450,
451,
452,
453,
454,
458,
460,
462,
464,
465,
466,
467,
469,
470,
471,
473,
476,
477,
478,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
506,
509,
510,
515,
516,
517,
518,
519,
520,
526,
527,
532,
535,
536,
537,
538,
540,
542,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
579,
580,
581,
582,
595,
596,
597,
606,
608,
609,
611,
612,
613,
620,
623,
627,
628,
630,
632,
633,
634,
638,
640,
641,
645,
646,
649,
650,
654,
658,
659,
661,
662,
663,
665,
666,
668,
669,
671,
676,
681,
682,
686,
687,
688,
690,
694,
695,
696,
701,
705,
710,
712,
714,
717,
721,
723,
727,
733,
734,
735,
736,
739,
740,
743,
744,
745,
747,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
776,
777,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
808,
810,
812,
813,
814,
818,
819,
823,
824,
825,
827,
830,
832,
838,
839,
841,
848,
849,
851,
853,
857,
866,
867,
868,
870,
871,
874,
876,
877,
886,
888,
893,
894,
896,
897,
898,
901,
902,
909,
911,
912,
913,
915,
917,
918,
922,
923,
924,
926,
927,
929,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
962,
963,
969,
973,
975,
977,
981,
985,
986,
993,
996,
998,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1022,
1023,
1027,
1031,
1037,
1038,
1042,
1043,
1047,
1050,
1051,
1058,
1062,
1064,
1067,
1068,
1069,
1070,
1071,
1072,
1075,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1112,
1113,
1119,
1121,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
address
|
State the male population for all zip code which were under the Berlin, NH CBSA.
|
"Berlin, NH" is the CBSA_name
|
SELECT T2.male_population FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Berlin, NH' GROUP BY T2.male_population
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,138 | 5,138 |
CREATE TABLE `CBSA`
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE `zip_data`
(
male_population INTEGER,
female_population INTEGER,
CBSA INTEGER,
foreign key CBSA references CBSACBSA
)
|
[
"GROUP BY",
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
721
],
"case_2": [
721
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Which CBSAs have more than 10 zip codes?
|
has more than 10 zip codes refers to CBSA where count(CBSA) > 10
|
SELECT T1.CBSA_name FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA GROUP BY T1.CBSA HAVING COUNT(T2.zip_code) > 10
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,139 | 5,139 |
CREATE TABLE `CBSA`
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
CBSA INTEGER,
foreign key CBSA references CBSACBSA
)
|
[
"GROUP BY",
"AS",
"SELECT",
"HAVING",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 9 |
simple
|
{
"case_1": [
721
],
"case_2": [
721
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
182,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
718,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
List all the bad alias for zip codes in Puerto Rico.
|
"Puerto Rico" refers to state = 'PR'
|
SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.state = 'PR'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,140 | 5,140 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
state TEXT,
state_fips INTEGER,
foreign key state references stateabbreviation
)
CREATE TABLE `avoid`
(
zip_code INTEGER,
bad_alias TEXT,
primary key zip_code, bad_alias,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
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490,
491,
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506,
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508,
509,
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515,
516,
517,
518,
519,
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522,
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528,
529,
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532,
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601,
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620,
621,
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655,
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659,
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830,
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833,
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838,
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841,
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866,
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1133,
1134,
1135,
1136,
1137
]
}
|
address
|
What is the longitude and latitude for the district represented by Grayson Alan?
|
SELECT T1.latitude, T1.longitude FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T3.first_name = 'Grayson' AND T3.last_name = 'Alan'
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,141 | 5,141 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
District INTEGER
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
latitude REAL,
longitude REAL
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
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165,
221,
299,
363,
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],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
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720,
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1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
address
|
What is the state for area code of 787?
|
SELECT DISTINCT T2.state FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 787
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,142 | 5,142 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
state TEXT,
state_fips INTEGER,
foreign key state references stateabbreviation
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
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221,
299,
363,
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607,
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1034,
1114,
1115
],
"case_4": [
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363,
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]
}
|
|
address
|
List all representatives of districts which have more than 30 000 population in 2020.
|
more than 30000 population in 2020 refers to population_2020 > 30000; representative refers to first_name, last_name
|
SELECT T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T1.population_2020 > 30000 GROUP BY T3.first_name, T3.last_name
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,143 | 5,143 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
District INTEGER
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
population_2020 INTEGER
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"GROUP BY",
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Which zip code in Massachusetts that have more than 1 area code?
|
"Massachusetts" is the state; zip code more than 1 area code refers to Count (zip_code) > 1
|
SELECT T1.zip_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.state = 'MA' GROUP BY T1.zip_code HAVING COUNT(T1.area_code) > 1
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,144 | 5,144 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
state TEXT,
state_fips INTEGER,
foreign key state references stateabbreviation
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"GROUP BY",
"AS",
"SELECT",
"HAVING",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 9 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
182,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
718,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
State the county for Arecibo City.
|
"Arecibo" is the city
|
SELECT DISTINCT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Arecibo'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,145 | 5,145 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
363,
717,
1034
],
"case_2": [
363,
717,
1034
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
How many zip codes are under Barre, VT?
|
"Barre, VT" is the CBSA_name
|
SELECT COUNT(T2.zip_code) FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Barre, VT'
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,146 | 5,146 |
CREATE TABLE `CBSA`
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
CBSA INTEGER,
foreign key CBSA references CBSACBSA
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 7 |
simple
|
{
"case_1": [
721
],
"case_2": [
721
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Among the zip code under Saint Croix county, which zip code has the biggest land area?
|
biggest land area refers to Max(land_area); "SAINT CROIX" is the county
|
SELECT T1.zip_code FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'SAINT CROIX' ORDER BY T2.land_area DESC LIMIT 1
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,147 | 5,147 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
land_area REAL
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
363,
717,
1034
],
"case_2": [
363,
717,
1034
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
619,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
664,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1076,
1077,
1078,
1080,
1082,
1083,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
address
|
Calculate the difference between the 2020 population and the 2010 population for the districts represented by Griffin Tim.
|
difference = Subtract (population_2020, population_2010)
|
SELECT T1.population_2020 - T1.population_2010 FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T3.first_name = 'Griffin' AND T3.last_name = 'Tim'
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,148 | 5,148 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
District INTEGER
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
population_2020 INTEGER
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Based on the population in 2020, calculate the percentage for the population of Asian in the zip code where the CBSA was Atmore, AL.
|
"Atmore, AL" is CBSA_name; percentage = Divide(asian_population, population_2020) * 100
|
SELECT CAST(T2.asian_population AS REAL) * 100 / T2.population_2010 FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Atmore, AL'
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,149 | 5,149 |
CREATE TABLE `CBSA`
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE `zip_data`
(
asian_population INTEGER,
CBSA INTEGER,
foreign key CBSA references CBSACBSA
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"CAST",
"FROM"
] | 8 |
simple
|
{
"case_1": [
721
],
"case_2": [
721
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
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18,
19,
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206,
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214,
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250,
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271,
272,
275,
276,
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278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
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316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
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365,
367,
368,
369,
370,
373,
374,
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376,
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379,
380,
381,
382,
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386,
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530,
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536,
537,
538,
539,
540,
541,
544,
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552,
556,
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570,
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597,
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610,
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690,
691,
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696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
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728,
733,
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740,
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832,
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838,
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841,
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850,
851,
852,
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857,
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866,
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880,
881,
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885,
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997,
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999,
1000,
1001,
1003,
1004,
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1008,
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1011,
1012,
1013,
1015,
1016,
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1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Among the cities with an area code 939, which city has the highest Asian population?
|
highest asian population refers to Max(asian_population)
|
SELECT T2.city FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 939 ORDER BY T2.asian_population DESC LIMIT 1
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,150 | 5,150 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT,
asian_population INTEGER
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 9 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
619,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
664,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1076,
1077,
1078,
1080,
1082,
1083,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
address
|
Give the name of the country and state of the city with elevation of 1039.
|
elevation of 1039 refers to elevation = 1039
|
SELECT DISTINCT T1.name, T2.state FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state INNER JOIN zip_data AS T3 ON T2.zip_code = T3.zip_code WHERE T3.elevation = 1039
|
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,151 | 5,151 |
CREATE TABLE `state`
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
state TEXT,
elevation INTEGER,
state_fips INTEGER,
foreign key state references stateabbreviation
)
CREATE TABLE `country`
(
zip_code INTEGER,
state TEXT,
primary key zip_code,
foreign key zip_code references zip_datazip_code,
foreign key state references stateabbreviation
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Provide the alias and elevation of the city with zip code 1028.
|
SELECT T1.alias, T2.elevation FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.zip_code = 1028
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,152 | 5,152 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
elevation INTEGER
)
CREATE TABLE `alias`
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
221,
587
],
"case_2": [
221,
587
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
address
|
What is the area code of the city with the largest land area?
|
largest land area refers to Max(land_area)
|
SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.land_area = ( SELECT MAX(land_area) FROM zip_data )
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,153 | 5,153 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
land_area REAL
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM",
"MAX"
] | 9 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Give the area code of the city with the white population ranging between 1700 to 2000.
|
SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.white_population BETWEEN 1700 AND 2000
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,154 | 5,154 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
white_population INTEGER
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"BETWEEN",
"FROM"
] | 8 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
36,
37,
39,
41,
42,
43,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
79,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
350,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
656,
657,
658,
659,
660,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
864,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1081,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
address
|
What is the Asian population in the city with the alias Leeds?
|
SELECT SUM(T2.asian_population) FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'Leeds'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,155 | 5,155 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
asian_population INTEGER
)
CREATE TABLE `alias`
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
221,
587
],
"case_2": [
221,
587
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
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111,
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232,
233,
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239,
240,
241,
242,
243,
244,
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250,
254,
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257,
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260,
261,
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271,
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275,
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284,
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290,
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295,
296,
297,
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299,
300,
301,
302,
304,
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308,
309,
311,
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313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
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379,
381,
382,
383,
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385,
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600,
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620,
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705,
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710,
711,
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715,
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728,
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740,
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1027,
1029,
1031,
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1035,
1037,
1038,
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1042,
1043,
1044,
1045,
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1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
address
|
List down the area code and country of the city named Savoy.
|
Savoy is the city;
|
SELECT T1.area_code, T2.county FROM area_code AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code INNER JOIN zip_data AS T3 ON T1.zip_code = T3.zip_code WHERE T3.city = 'Savoy'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,156 | 5,156 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
What are the alias of the cities with 0 population in 2010?
|
with 0 population in 2010 refers to population_2010 = 0;
|
SELECT DISTINCT T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.population_2010 = 0
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,157 | 5,157 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
population_2010 INTEGER
)
CREATE TABLE `alias`
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
221,
587
],
"case_2": [
221,
587
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Among the cities with area code 608, how many cities implement daylight savings?
|
implement daylight savings refers to daylight_savings = 'Yes';
|
SELECT COUNT(T2.city) FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 608 AND T2.daylight_savings = 'Yes'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,158 | 5,158 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT,
daylight_savings TEXT
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
35,
36,
37,
39,
40,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
67,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
109,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
230,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
421,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
509,
510,
511,
512,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
554,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
618,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
820,
822,
823,
824,
825,
827,
828,
829,
830,
831,
832,
833,
834,
835,
837,
838,
839,
841,
843,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
903,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1079,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Provide the average elevation of the cities with alias Amherst.
|
AVG(elevation) where alias = 'Amherst';
|
SELECT AVG(T2.elevation) FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'Amherst'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,159 | 5,159 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
elevation INTEGER
)
CREATE TABLE `alias`
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"FROM"
] | 7 |
simple
|
{
"case_1": [
221,
587
],
"case_2": [
221,
587
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
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183,
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187,
188,
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190,
191,
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261,
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264,
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275,
276,
277,
278,
279,
280,
281,
282,
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290,
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295,
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297,
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319,
320,
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}
|
address
|
What is the country and state of the city named Dalton?
|
Dalton is the city;
|
SELECT T2.county FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state INNER JOIN zip_data AS T3 ON T2.zip_code = T3.zip_code WHERE T3.city = 'Dalton' GROUP BY T2.county
|
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,160 | 5,160 |
CREATE TABLE `state`
(
abbreviation TEXT
primary key
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
state_fips INTEGER,
foreign key state references stateabbreviation
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code,
foreign key state references stateabbreviation
)
|
[
"GROUP BY",
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
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-1
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1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Give at least five alias of cities with a postal point of post office.
|
postal point of post office refers to type = 'Post Office';
|
SELECT T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.type = 'Post Office' LIMIT 5
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,161 | 5,161 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
type TEXT
)
CREATE TABLE `alias`
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"LIMIT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
221,
587
],
"case_2": [
221,
587
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
What is the difference in the number of cities with P.O. box only and cities with Post Office among the cities with area code 787?
|
SUBTRACT(COUNT(type = 'P.O. Box Only'), COUNT(type = 'Post Office')) where area_code = 787;
|
SELECT COUNT(CASE WHEN T2.type = 'P.O. Box Only' THEN 1 ELSE NULL END) - COUNT(CASE WHEN T2.type = 'Post Office' THEN 1 ELSE NULL END) AS DIFFERENCE FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 787
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,162 | 5,162 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
type TEXT
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 15 |
medium
|
{
"case_1": [
299
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
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102,
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105,
106,
107,
111,
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134,
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139,
140,
141,
142,
143,
144,
145,
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148,
150,
151,
152,
153,
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155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
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175,
176,
177,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
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199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
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229,
232,
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322,
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1137
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}
|
address
|
Among the cities belonging to the country named Arroyo, calculate the percentage of increase in the population in these cities from 2010 to 2020.
|
DIVIDE(SUBTRACT(SUM(population_2020)), SUM(population_2010)), SUM(population_2010) as percentage where county = 'ARROYO';
|
SELECT CAST((SUM(T2.population_2020) - SUM(T2.population_2010)) AS REAL) * 100 / SUM(T2.population_2010) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Arroyo'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,163 | 5,163 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT,
population_2020 INTEGER,
population_2010 INTEGER
)
CREATE TABLE `country`
(
zip_code INTEGER,
primary key zip_code,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"CAST",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
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363,
717,
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485,
573,
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363,
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587,
607,
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895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Among the postal points in Texas, provide the zip codes and cities of postal points which have total beneficiaries of above 10000.
|
Texas is the name of the state, in which name = 'Texas'; total beneficiaries of above 10000 refer to total_beneficiaries > 10000;
|
SELECT T2.zip_code, T2.city FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Texas' AND T2.total_beneficiaries > 10000
|
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,164 | 5,164 |
CREATE TABLE `state`
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
state_fips INTEGER,
total_beneficiaries INTEGER,
foreign key state references stateabbreviation
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
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295,
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300,
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302,
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305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
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495,
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501,
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510,
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515,
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518,
519,
520,
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522,
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524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
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643,
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647,
648,
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650,
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659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
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759,
760,
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762,
763,
764,
765,
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790,
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793,
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819,
822,
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824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
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879,
880,
881,
882,
885,
886,
887,
888,
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891,
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925,
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1016,
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1027,
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1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
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1065,
1066,
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1068,
1071,
1072,
1074,
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1080,
1082,
1084,
1085,
1086,
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1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Among the postal points in the District of Columbia, how many of them have an area with above 20000 black population?
|
District of Columbia refers to county = 'DISTRICT OF COLUMBIA'; postal points refer to zip_code; area with above 20000 black population refers to black_population > 20000;
|
SELECT COUNT(T1.zip_code) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'DISTRICT OF COLUMBIA' AND T2.black_population > 20000
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,165 | 5,165 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
black_population INTEGER
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 8 |
simple
|
{
"case_1": [
363,
717,
1034
],
"case_2": [
363,
717,
1034
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
32,
33,
34,
35,
36,
37,
39,
40,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
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65,
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80,
81,
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84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
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101,
102,
105,
106,
107,
109,
111,
112,
113,
115,
116,
117,
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119,
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121,
125,
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128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
230,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
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388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
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536,
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539,
540,
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542,
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547,
548,
550,
552,
554,
556,
557,
558,
559,
560,
561,
562,
563,
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565,
566,
567,
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570,
571,
572,
573,
574,
575,
577,
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580,
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621,
623,
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627,
628,
630,
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632,
633,
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639,
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645,
646,
647,
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651,
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655,
656,
657,
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660,
661,
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670,
671,
672,
674,
675,
676,
677,
678,
680,
681,
682,
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684,
685,
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687,
688,
690,
691,
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695,
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697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
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722,
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724,
725,
726,
727,
728,
730,
733,
734,
735,
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739,
740,
741,
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744,
745,
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750,
751,
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775,
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790,
792,
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796,
797,
798,
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800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
820,
822,
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824,
825,
827,
828,
829,
830,
831,
832,
833,
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838,
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841,
843,
844,
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846,
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850,
851,
852,
853,
854,
857,
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866,
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871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
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885,
886,
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889,
891,
892,
893,
894,
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896,
897,
898,
900,
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902,
903,
904,
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907,
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912,
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951,
952,
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967,
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970,
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980,
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988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
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1041,
1042,
1043,
1044,
1045,
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1047,
1049,
1050,
1051,
1052,
1056,
1058,
1059,
1060,
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1071,
1072,
1074,
1078,
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1080,
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1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Provide the city where zip code 19019 is located and the alias of that city.
|
SELECT T2.city, T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.zip_code = 19019
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,166 | 5,166 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT
)
CREATE TABLE `alias`
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
221,
587
],
"case_2": [
221,
587
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
address
|
List the bad alias of the postal point located in Camuy.
|
postal points refer to zip_code; Camuy is the city;
|
SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Camuy'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,167 | 5,167 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT
)
CREATE TABLE `avoid`
(
zip_code INTEGER,
bad_alias TEXT,
primary key zip_code, bad_alias,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Provide the zip code, city, and congress representative's full names of the area which has highest population in 2020.
|
representative's full names refer to first_name, last_name; area which has highest population in 2020 refers to MAX(population_2020);
|
SELECT T1.zip_code, T1.city, T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id GROUP BY T2.district ORDER BY T1.population_2020 DESC LIMIT 1
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,168 | 5,168 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
District INTEGER
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT,
population_2020 INTEGER
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 13 |
medium
|
{
"case_1": [
-1
],
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-1
],
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221,
299,
363,
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573,
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],
"case_4": [
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363,
455,
485,
573,
587,
607,
699,
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1141
]
}
|
address
|
Among the daylight savings areas in the Midwest region, how many postal points are there in Illinois?
|
postal points refer to zip_code; the daylight savings areas refer to daylight_savings = 'Yes'; Illinois is the name of the state, in which name = 'Illinois';
|
SELECT COUNT(T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Illinois' AND T2.daylight_savings = 'Yes' AND T2.region = 'Midwest'
|
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,169 | 5,169 |
CREATE TABLE `state`
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
state TEXT,
daylight_savings TEXT,
state_fips INTEGER,
region TEXT,
foreign key state references stateabbreviation
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
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36,
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53,
55,
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58,
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73,
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76,
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80,
81,
82,
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84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
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97,
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102,
105,
106,
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115,
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200,
201,
202,
206,
207,
211,
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213,
214,
217,
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219,
220,
221,
223,
225,
226,
227,
228,
229,
230,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
259,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
294,
295,
296,
297,
298,
299,
300,
301,
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303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
399,
401,
402,
403,
405,
406,
407,
408,
409,
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414,
415,
416,
417,
419,
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422,
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424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
509,
510,
511,
512,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
554,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
591,
592,
593,
594,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
618,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
656,
657,
658,
659,
660,
661,
662,
663,
665,
666,
667,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
680,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
692,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
707,
710,
711,
712,
714,
715,
717,
718,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
730,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
820,
822,
823,
824,
825,
827,
828,
829,
830,
831,
832,
833,
834,
835,
837,
838,
839,
841,
843,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
903,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
945,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
965,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1014,
1015,
1016,
1017,
1019,
1020,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1059,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1079,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1126,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Provide the countries and the zip codes in the Virgin Islands.
|
the Virgin Islands refer to state where name = 'Virgin Islands';
|
SELECT T2.county, T2.zip_code FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Virgin Islands'
|
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,170 | 5,170 |
CREATE TABLE `state`
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code,
foreign key state references stateabbreviation
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
1115
],
"case_2": [
1115
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Provide the zip codes and the alias of Greeneville.
|
Greeneville is the city;
|
SELECT T2.zip_code, T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Greeneville'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,171 | 5,171 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT
)
CREATE TABLE `alias`
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
221,
587
],
"case_2": [
221,
587
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Compare the numbers of postal points under Smith Adrian and Heck Joe.
|
COUNT(zip_code where first_name = 'Smith' and last_name = 'Adrian') > COUNT(zip_code where first_name = 'Heck' and last_name = 'Joe');
|
SELECT CASE WHEN COUNT(CASE WHEN T1.first_name = 'Smith' AND T1.last_name = 'Adrian' THEN T2.zip_code ELSE NULL END) > COUNT(CASE WHEN T1.first_name = 'Heck' AND T1.last_name = 'Joe' THEN T2.zip_code ELSE NULL END) THEN 'Smith Adrian>Heck Joe' ELSE 'Smith Adrian<=Heck Joe' END AS COMPARE FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,172 | 5,172 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
District INTEGER
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"CASE WHEN",
"AS",
"AND",
"SELECT",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"<=",
">",
"COUNT",
"FROM"
] | 21 |
challenging
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
299,
485,
573,
762
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
4,
6,
16,
22,
24,
30,
37,
42,
47,
51,
53,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
88,
93,
96,
98,
106,
113,
115,
117,
118,
119,
120,
125,
126,
127,
129,
131,
138,
142,
143,
146,
148,
152,
153,
155,
158,
160,
164,
169,
170,
171,
175,
183,
184,
187,
191,
195,
197,
200,
201,
207,
212,
214,
219,
225,
226,
227,
234,
236,
244,
248,
256,
258,
261,
264,
267,
268,
276,
277,
279,
298,
299,
300,
301,
304,
314,
317,
319,
322,
325,
330,
335,
339,
341,
347,
360,
370,
374,
375,
382,
383,
391,
393,
395,
398,
402,
403,
406,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
444,
448,
452,
458,
464,
469,
476,
477,
478,
479,
485,
486,
490,
493,
500,
514,
515,
516,
518,
519,
520,
522,
526,
528,
533,
535,
537,
540,
544,
547,
550,
558,
559,
563,
564,
571,
573,
575,
580,
581,
582,
589,
595,
608,
613,
620,
623,
627,
628,
632,
633,
637,
640,
641,
646,
662,
663,
666,
668,
671,
672,
676,
682,
686,
687,
706,
710,
712,
714,
723,
727,
734,
735,
739,
740,
743,
744,
747,
749,
753,
756,
760,
762,
768,
772,
776,
787,
788,
796,
797,
798,
799,
800,
804,
805,
808,
814,
819,
824,
827,
830,
838,
841,
844,
848,
849,
851,
853,
867,
868,
870,
871,
874,
877,
880,
886,
888,
896,
902,
909,
912,
917,
922,
923,
924,
926,
927,
930,
935,
941,
943,
944,
954,
956,
958,
959,
961,
969,
985,
986,
996,
1008,
1012,
1022,
1023,
1042,
1058,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1098,
1100,
1101,
1103,
1104,
1119,
1123,
1128,
1131,
1133,
1134,
1135
]
}
|
address
|
Provide the zip codes and CBSA officers of the postal point in Oxford.
|
CBSA officers refer to CBSA_name; postal point refers to zip_code; Oxford is the city;
|
SELECT T2.zip_code, T1.CBSA_name FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.city = 'Oxford'
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,173 | 5,173 |
CREATE TABLE `CBSA`
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT,
CBSA INTEGER,
foreign key CBSA references CBSACBSA
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
721
],
"case_2": [
721
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
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1038,
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1136,
1137
]
}
|
address
|
Provide the zip codes and their affiliated organization for the postal point under Kingsport-Bristol, TN-VA.
|
postal point under Kingsport-Bristol, TN-VA refers to zip_code where CBSA_name = 'Kingsport-Bristol, TN-VA'; affiliated organization refers to organization from CBSA;
|
SELECT T2.zip_code, T2.organization FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Kingsport-Bristol, TN-VA'
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,174 | 5,174 |
CREATE TABLE `CBSA`
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
organization TEXT,
CBSA INTEGER,
foreign key CBSA references CBSACBSA
)
|
[
"AS",
"SELECT",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 8 |
simple
|
{
"case_1": [
721
],
"case_2": [
721
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
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471,
472,
473,
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475,
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479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
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494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
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514,
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539,
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565,
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567,
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570,
571,
572,
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579,
580,
581,
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586,
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590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
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632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
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650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
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666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
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684,
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687,
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690,
691,
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694,
695,
696,
697,
699,
700,
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704,
705,
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710,
711,
712,
714,
715,
717,
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722,
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725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
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745,
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750,
751,
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780,
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800,
802,
803,
804,
805,
806,
807,
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810,
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814,
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819,
822,
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825,
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830,
832,
833,
834,
835,
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838,
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841,
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850,
851,
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857,
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1078,
1080,
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1084,
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1086,
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1091,
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1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Provide the zip codes and the congress representatives' names of the postal points which are affiliated with Readers Digest.
|
representative's full names refer to first_name, last_name; postal points affiliated with Readers Digest refer to zip_code where organization = 'Readers Digest';
|
SELECT T1.zip_code, T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T1.organization = 'Readers Digest'
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,175 | 5,175 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
District INTEGER
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
organization TEXT
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
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601,
602,
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740,
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937,
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953,
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956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Among the postal points in California, calculate the percentage of them in post office types.
|
DIVIDE(COUNT(zip_code where type = 'Post Office'), COUNT(zip_code)) as percentage where name = 'California';
|
SELECT CAST(COUNT(CASE WHEN T2.type = 'Post Office' THEN T2.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'California'
|
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,176 | 5,176 |
CREATE TABLE `state`
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
state TEXT,
type TEXT,
state_fips INTEGER,
foreign key state references stateabbreviation
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 13 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
299,
485,
573,
721,
762
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
4,
6,
11,
16,
22,
24,
27,
30,
36,
37,
42,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
86,
88,
91,
93,
96,
98,
106,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
138,
140,
142,
143,
146,
148,
150,
152,
153,
155,
158,
159,
160,
164,
167,
169,
170,
171,
175,
179,
183,
184,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
200,
201,
202,
206,
207,
212,
214,
215,
219,
223,
225,
226,
227,
229,
233,
234,
236,
243,
244,
247,
248,
254,
256,
258,
261,
264,
267,
268,
269,
271,
276,
277,
278,
279,
298,
299,
300,
301,
303,
304,
311,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
358,
360,
364,
370,
373,
374,
375,
382,
383,
384,
391,
392,
393,
394,
395,
398,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
443,
444,
445,
448,
451,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
508,
509,
514,
515,
516,
517,
518,
519,
520,
522,
526,
528,
532,
533,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
580,
581,
582,
589,
595,
596,
597,
606,
608,
611,
613,
620,
623,
627,
628,
630,
632,
633,
634,
637,
640,
641,
645,
646,
649,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
676,
681,
682,
686,
687,
688,
690,
694,
696,
705,
706,
710,
712,
714,
721,
723,
724,
727,
733,
734,
735,
736,
739,
740,
743,
744,
747,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
776,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
824,
827,
830,
832,
837,
838,
839,
841,
844,
848,
849,
851,
853,
857,
866,
867,
868,
870,
871,
874,
876,
877,
880,
886,
888,
893,
894,
896,
897,
898,
901,
902,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
963,
969,
975,
977,
981,
985,
986,
993,
996,
998,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1022,
1023,
1036,
1037,
1042,
1043,
1047,
1048,
1050,
1051,
1058,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1123,
1124,
1128,
1129,
1131,
1133,
1134,
1135,
1137
]
}
|
address
|
What are the zip code for the Senate house?
|
House of Repsentatives can stand for senate house
|
SELECT T2.zip_code FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.House = 'House of Repsentatives' GROUP BY T2.zip_code
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,177 | 5,177 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
House TEXT,
District INTEGER
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"GROUP BY",
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Which city has the most bad aliases?
|
the most bad aliases refer to MAX(COUNT(bad_alias));
|
SELECT T2.city FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T1.bad_alias ORDER BY COUNT(T1.zip_code) DESC LIMIT 1
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,178 | 5,178 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT
)
CREATE TABLE `avoid`
(
zip_code INTEGER,
bad_alias TEXT,
primary key zip_code, bad_alias,
foreign key zip_code references zip_datazip_code
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
299,
573,
720,
721,
762,
1034
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
4,
6,
10,
11,
13,
15,
16,
20,
22,
27,
28,
29,
30,
36,
37,
47,
49,
51,
53,
55,
59,
62,
63,
68,
69,
73,
74,
75,
77,
78,
82,
86,
88,
89,
91,
93,
96,
98,
106,
108,
113,
115,
117,
118,
119,
121,
125,
126,
131,
138,
140,
142,
143,
146,
148,
150,
152,
159,
160,
162,
163,
164,
167,
169,
170,
173,
175,
179,
183,
184,
185,
187,
188,
189,
190,
191,
196,
197,
199,
200,
202,
206,
212,
213,
214,
225,
226,
227,
229,
233,
234,
239,
243,
244,
247,
252,
254,
256,
261,
262,
267,
268,
269,
275,
276,
277,
278,
281,
285,
286,
291,
299,
301,
309,
311,
313,
314,
316,
317,
319,
320,
323,
324,
325,
329,
330,
334,
335,
336,
338,
339,
341,
342,
344,
345,
348,
349,
352,
353,
354,
356,
358,
359,
360,
364,
365,
370,
371,
373,
374,
375,
378,
379,
381,
382,
383,
384,
385,
391,
392,
394,
395,
401,
403,
406,
409,
411,
412,
416,
417,
424,
426,
428,
429,
434,
435,
436,
444,
445,
448,
451,
454,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
482,
484,
487,
488,
490,
493,
495,
497,
500,
505,
509,
515,
516,
519,
520,
526,
530,
532,
535,
536,
537,
538,
542,
544,
547,
548,
552,
558,
559,
560,
563,
564,
566,
567,
573,
578,
579,
580,
581,
582,
584,
586,
590,
592,
595,
596,
597,
606,
608,
611,
613,
620,
621,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
645,
646,
649,
651,
654,
657,
658,
659,
662,
663,
664,
665,
668,
669,
671,
681,
687,
688,
690,
691,
694,
696,
698,
701,
703,
705,
712,
714,
719,
720,
721,
727,
733,
734,
735,
736,
739,
740,
743,
748,
749,
750,
751,
752,
753,
756,
759,
760,
762,
768,
769,
772,
778,
779,
787,
790,
796,
797,
799,
800,
802,
803,
804,
810,
812,
813,
814,
818,
819,
823,
824,
827,
830,
838,
839,
841,
849,
850,
851,
853,
857,
861,
866,
867,
869,
870,
874,
876,
877,
882,
886,
888,
889,
891,
893,
896,
897,
898,
901,
902,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
929,
930,
932,
934,
935,
943,
950,
951,
953,
954,
956,
958,
961,
962,
963,
966,
967,
969,
970,
972,
973,
975,
977,
981,
983,
985,
986,
987,
993,
994,
996,
1004,
1005,
1006,
1010,
1013,
1015,
1017,
1022,
1023,
1025,
1030,
1034,
1037,
1038,
1042,
1043,
1047,
1049,
1050,
1051,
1056,
1057,
1058,
1062,
1064,
1065,
1067,
1068,
1071,
1072,
1076,
1077,
1078,
1082,
1084,
1086,
1087,
1091,
1094,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
address
|
List all the counties in Georgia.
|
Georgia is the name of the state, in which name = 'Georgia';
|
SELECT T2.county FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Georgia' GROUP BY T2.county
|
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,179 | 5,179 |
CREATE TABLE `state`
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE `country`
(
county TEXT,
state TEXT, county,
foreign key state references stateabbreviation
)
|
[
"GROUP BY",
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
1115
],
"case_2": [
1115
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
List all the locations of postal points with the area code "410".
|
latitude and longitude coordinates can be used to identify the location; postal points refer to zip_code;
|
SELECT T2.latitude, T2.longitude FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = 410
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,180 | 5,180 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
latitude REAL,
longitude REAL
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
What is the name of the CBSA of the city with the highest average house value?
|
the highest average house value refers to avg_house_value;
|
SELECT DISTINCT T1.CBSA_name FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.avg_house_value = ( SELECT MAX(avg_house_value) FROM zip_data ) LIMIT 1
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,181 | 5,181 |
CREATE TABLE `CBSA`
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE `zip_data`
(
avg_house_value INTEGER,
CBSA INTEGER,
foreign key CBSA references CBSACBSA
)
|
[
"AS",
"SELECT",
"LIMIT",
"INNER JOIN",
"ON",
"FROM",
"MAX"
] | 10 |
simple
|
{
"case_1": [
721
],
"case_2": [
721
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
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113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
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131,
132,
134,
135,
136,
137,
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140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
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167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
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195,
196,
197,
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200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
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425,
426,
427,
428,
429,
430,
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436,
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440,
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446,
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465,
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469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
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767,
768,
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771,
772,
773,
774,
775,
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777,
778,
779,
780,
782,
783,
784,
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788,
790,
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793,
796,
797,
799,
800,
802,
803,
804,
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806,
807,
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809,
810,
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813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
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922,
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924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
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949,
950,
951,
952,
953,
954,
956,
958,
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961,
962,
963,
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966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
What are the bad aliases of the postal points from East Setauket?
|
East Setauket is the city;
|
SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'East Setauket'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,182 | 5,182 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT
)
CREATE TABLE `avoid`
(
zip_code INTEGER,
bad_alias TEXT,
primary key zip_code, bad_alias,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
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966,
967,
969,
970,
971,
973,
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975,
977,
978,
980,
981,
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985,
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988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
What was the population of Wilcox County in 2010?
|
population of Wilcox County in 2010 refers to SUM(population_2010) where county = 'WILCOX';
|
SELECT SUM(T2.population_2010) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'WILCOX'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,183 | 5,183 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
population_2010 INTEGER
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
363,
717,
1034
],
"case_2": [
363,
717,
1034
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
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18,
19,
20,
21,
22,
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24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
90,
91,
93,
94,
95,
96,
97,
98,
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101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
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779,
780,
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784,
786,
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790,
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804,
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807,
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809,
810,
812,
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825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
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905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
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940,
941,
943,
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949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
What is the code of the area with the largest Asian population?
|
the code of the area refers to area_code; area with the largest Asian population refers to MAX(asian_population);
|
SELECT T1.zip_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.asian_population ORDER BY T2.asian_population DESC LIMIT 1
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,184 | 5,184 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
asian_population INTEGER
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 10 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
619,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
664,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1076,
1077,
1078,
1080,
1082,
1083,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
address
|
List all the cities with micro CBSA.
|
micro CBSA refers to CBSA_type = 'Micro';
|
SELECT T2.city FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_type = 'Micro'
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,185 | 5,185 |
CREATE TABLE `CBSA`
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE `zip_data`
(
city TEXT,
type TEXT,
CBSA INTEGER,
foreign key CBSA references CBSACBSA
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
721
],
"case_2": [
721
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
What is the name of the state with the most counties?
|
the most counties refer to MAX(COUNT(county));
|
SELECT T1.name FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state GROUP BY T2.state ORDER BY COUNT(T2.county) DESC LIMIT 1
|
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,186 | 5,186 |
CREATE TABLE `state`
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE `country`
(
county TEXT,
state TEXT, county,
foreign key state references stateabbreviation
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
299,
573,
720,
721,
762,
1034
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
4,
6,
10,
11,
13,
15,
16,
20,
22,
27,
28,
29,
30,
36,
37,
47,
49,
51,
53,
55,
59,
62,
63,
68,
69,
73,
74,
75,
77,
78,
82,
86,
88,
89,
91,
93,
96,
98,
106,
108,
113,
115,
117,
118,
119,
121,
125,
126,
131,
138,
140,
142,
143,
146,
148,
150,
152,
159,
160,
162,
163,
164,
167,
169,
170,
173,
175,
179,
183,
184,
185,
187,
188,
189,
190,
191,
196,
197,
199,
200,
202,
206,
212,
213,
214,
225,
226,
227,
229,
233,
234,
239,
243,
244,
247,
252,
254,
256,
261,
262,
267,
268,
269,
275,
276,
277,
278,
281,
285,
286,
291,
299,
301,
309,
311,
313,
314,
316,
317,
319,
320,
323,
324,
325,
329,
330,
334,
335,
336,
338,
339,
341,
342,
344,
345,
348,
349,
352,
353,
354,
356,
358,
359,
360,
364,
365,
370,
371,
373,
374,
375,
378,
379,
381,
382,
383,
384,
385,
391,
392,
394,
395,
401,
403,
406,
409,
411,
412,
416,
417,
424,
426,
428,
429,
434,
435,
436,
444,
445,
448,
451,
454,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
482,
484,
487,
488,
490,
493,
495,
497,
500,
505,
509,
515,
516,
519,
520,
526,
530,
532,
535,
536,
537,
538,
542,
544,
547,
548,
552,
558,
559,
560,
563,
564,
566,
567,
573,
578,
579,
580,
581,
582,
584,
586,
590,
592,
595,
596,
597,
606,
608,
611,
613,
620,
621,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
645,
646,
649,
651,
654,
657,
658,
659,
662,
663,
664,
665,
668,
669,
671,
681,
687,
688,
690,
691,
694,
696,
698,
701,
703,
705,
712,
714,
719,
720,
721,
727,
733,
734,
735,
736,
739,
740,
743,
748,
749,
750,
751,
752,
753,
756,
759,
760,
762,
768,
769,
772,
778,
779,
787,
790,
796,
797,
799,
800,
802,
803,
804,
810,
812,
813,
814,
818,
819,
823,
824,
827,
830,
838,
839,
841,
849,
850,
851,
853,
857,
861,
866,
867,
869,
870,
874,
876,
877,
882,
886,
888,
889,
891,
893,
896,
897,
898,
901,
902,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
929,
930,
932,
934,
935,
943,
950,
951,
953,
954,
956,
958,
961,
962,
963,
966,
967,
969,
970,
972,
973,
975,
977,
981,
983,
985,
986,
987,
993,
994,
996,
1004,
1005,
1006,
1010,
1013,
1015,
1017,
1022,
1023,
1025,
1030,
1034,
1037,
1038,
1042,
1043,
1047,
1049,
1050,
1051,
1056,
1057,
1058,
1062,
1064,
1065,
1067,
1068,
1071,
1072,
1076,
1077,
1078,
1082,
1084,
1086,
1087,
1091,
1094,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
address
|
What is the number of households in the "FL-10" district?
|
SELECT SUM(CASE WHEN T2.district = 'FL-10' THEN 1 ELSE 0 END) FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,187 | 5,187 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"-",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
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}
|
|
address
|
What is the average household income in the city known as "Danzig"?
|
average household income refers to avg_income_per_household; city known as "Danzig" refers to bad_alias = 'Danzig';
|
SELECT T2.avg_income_per_household FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.bad_alias = 'Danzig'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,188 | 5,188 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
avg_income_per_household INTEGER
)
CREATE TABLE `avoid`
(
zip_code INTEGER,
bad_alias TEXT,
primary key zip_code, bad_alias,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
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325,
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363,
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368,
369,
370,
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375,
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381,
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539,
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542,
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547,
548,
550,
552,
555,
556,
557,
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559,
560,
561,
562,
563,
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565,
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567,
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570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
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694,
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699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
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724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
What are the states with an above-average female population?
|
above-average female population refers to female_population > DIVIDE(SUM(female_population), COUNT(state));
|
SELECT DISTINCT T2.state FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T2.female_population > ( SELECT AVG(female_population) FROM zip_data )
|
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,189 | 5,189 |
CREATE TABLE `state`
(
abbreviation TEXT
primary key
)
CREATE TABLE `zip_data`
(
state TEXT,
state_fips INTEGER,
male_population INTEGER,
female_population INTEGER,
foreign key state references stateabbreviation
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"AVG",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
What percentage of households are in "Coroyell" out of its state?
|
DIVIDE(SUM(households where county = 'CORYELL'), SUM(households)) as percentage;
|
SELECT CAST(SUM(CASE WHEN T1.county = 'CORYELL' THEN T2.households ELSE 0 END) AS REAL) * 100 / SUM(T2.households) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,190 | 5,190 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
households INTEGER
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"SUM",
"CASE",
"INNER JOIN",
"ON",
"CAST",
"FROM"
] | 12 |
medium
|
{
"case_1": [
-1
],
"case_2": [
363,
717,
1034
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
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276,
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278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
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368,
369,
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373,
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376,
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382,
383,
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385,
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509,
510,
511,
514,
515,
516,
517,
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519,
520,
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529,
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536,
537,
538,
539,
540,
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544,
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1033,
1034,
1035,
1036,
1037,
1038,
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1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
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1068,
1069,
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1080,
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1129,
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1131,
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1133,
1134,
1135,
1136,
1137
]
}
|
address
|
What is the name and the position of the CBSA officer in the city of Cabo Rojo?
|
name of the CBSA officer refers to CBSA_name; position of the CBSA officer refers to CBSA_type;
|
SELECT T1.CBSA_name, T1.CBSA_type FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T2.city = 'Cabo Rojo' GROUP BY T1.CBSA_name, T1.CBSA_type
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,191 | 5,191 |
CREATE TABLE `CBSA`
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE `zip_data`
(
city TEXT,
type TEXT,
CBSA INTEGER,
foreign key CBSA references CBSACBSA
)
|
[
"GROUP BY",
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
721
],
"case_2": [
721
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
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58,
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62,
63,
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65,
66,
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69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
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85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
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101,
102,
105,
106,
107,
111,
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131,
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183,
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187,
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206,
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214,
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235,
236,
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240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
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464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Indicate the country name of the city Las Marias.
|
SELECT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Las Marias'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,192 | 5,192 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
363,
717,
1034
],
"case_2": [
363,
717,
1034
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
address
|
How many cities does congressman Pierluisi Pedro represent?
|
SELECT COUNT(DISTINCT T1.city) FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T3.first_name = 'Pierluisi' AND T3.last_name = 'Pedro'
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,193 | 5,193 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
District INTEGER
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
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-1
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363,
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1034,
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1115
],
"case_4": [
165,
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299,
363,
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485,
573,
587,
607,
699,
717,
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721,
762,
1034,
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],
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1132,
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1134,
1135,
1136,
1137
]
}
|
|
address
|
Provide the names of bad aliases in the city of Aguadilla.
|
SELECT T1.bad_alias FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.city = 'Aguadilla'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,194 | 5,194 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT
)
CREATE TABLE `avoid`
(
zip_code INTEGER,
bad_alias TEXT,
primary key zip_code, bad_alias,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
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}
|
|
address
|
Indicate the name of the congressman represent in Guanica.
|
name of congressman implies full name which refers to first_name, last_name; Guanica is the city;
|
SELECT T3.first_name, T3.last_name FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code INNER JOIN congress AS T3 ON T2.district = T3.cognress_rep_id WHERE T1.city = 'Guanica'
|
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,195 | 5,195 |
CREATE TABLE `congress`
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
District INTEGER
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT
)
CREATE TABLE `zip_congress`
(
zip_code INTEGER,
district TEXT,
primary key zip_code, district,
foreign key district references congresscognress_rep_id,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 9 |
simple
|
{
"case_1": [
-1
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-1
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165,
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299,
363,
455,
485,
573,
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"case_4": [
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363,
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607,
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1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Which state has the most bad aliases?
|
the most bad aliases refer to MAX(COUNT(bad_alias));
|
SELECT T2.state FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.state ORDER BY COUNT(T1.bad_alias) DESC LIMIT 1
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,196 | 5,196 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
state TEXT,
state_fips INTEGER,
foreign key state references stateabbreviation
)
CREATE TABLE `avoid`
(
zip_code INTEGER,
bad_alias TEXT,
primary key zip_code, bad_alias,
foreign key zip_code references zip_datazip_code
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"COUNT",
"FROM"
] | 11 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
299,
573,
720,
721,
762,
1034
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
4,
6,
10,
11,
13,
15,
16,
20,
22,
27,
28,
29,
30,
36,
37,
47,
49,
51,
53,
55,
59,
62,
63,
68,
69,
73,
74,
75,
77,
78,
82,
86,
88,
89,
91,
93,
96,
98,
106,
108,
113,
115,
117,
118,
119,
121,
125,
126,
131,
138,
140,
142,
143,
146,
148,
150,
152,
159,
160,
162,
163,
164,
167,
169,
170,
173,
175,
179,
183,
184,
185,
187,
188,
189,
190,
191,
196,
197,
199,
200,
202,
206,
212,
213,
214,
225,
226,
227,
229,
233,
234,
239,
243,
244,
247,
252,
254,
256,
261,
262,
267,
268,
269,
275,
276,
277,
278,
281,
285,
286,
291,
299,
301,
309,
311,
313,
314,
316,
317,
319,
320,
323,
324,
325,
329,
330,
334,
335,
336,
338,
339,
341,
342,
344,
345,
348,
349,
352,
353,
354,
356,
358,
359,
360,
364,
365,
370,
371,
373,
374,
375,
378,
379,
381,
382,
383,
384,
385,
391,
392,
394,
395,
401,
403,
406,
409,
411,
412,
416,
417,
424,
426,
428,
429,
434,
435,
436,
444,
445,
448,
451,
454,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
482,
484,
487,
488,
490,
493,
495,
497,
500,
505,
509,
515,
516,
519,
520,
526,
530,
532,
535,
536,
537,
538,
542,
544,
547,
548,
552,
558,
559,
560,
563,
564,
566,
567,
573,
578,
579,
580,
581,
582,
584,
586,
590,
592,
595,
596,
597,
606,
608,
611,
613,
620,
621,
625,
626,
627,
630,
632,
633,
634,
637,
638,
641,
645,
646,
649,
651,
654,
657,
658,
659,
662,
663,
664,
665,
668,
669,
671,
681,
687,
688,
690,
691,
694,
696,
698,
701,
703,
705,
712,
714,
719,
720,
721,
727,
733,
734,
735,
736,
739,
740,
743,
748,
749,
750,
751,
752,
753,
756,
759,
760,
762,
768,
769,
772,
778,
779,
787,
790,
796,
797,
799,
800,
802,
803,
804,
810,
812,
813,
814,
818,
819,
823,
824,
827,
830,
838,
839,
841,
849,
850,
851,
853,
857,
861,
866,
867,
869,
870,
874,
876,
877,
882,
886,
888,
889,
891,
893,
896,
897,
898,
901,
902,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
929,
930,
932,
934,
935,
943,
950,
951,
953,
954,
956,
958,
961,
962,
963,
966,
967,
969,
970,
972,
973,
975,
977,
981,
983,
985,
986,
987,
993,
994,
996,
1004,
1005,
1006,
1010,
1013,
1015,
1017,
1022,
1023,
1025,
1030,
1034,
1037,
1038,
1042,
1043,
1047,
1049,
1050,
1051,
1056,
1057,
1058,
1062,
1064,
1065,
1067,
1068,
1071,
1072,
1076,
1077,
1078,
1082,
1084,
1086,
1087,
1091,
1094,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1123,
1124,
1128,
1131,
1133,
1134,
1135,
1137
]
}
|
address
|
What is the difference in the number of bad alias between Aguada city and Aguadilla city?
|
SUBTRACT(COUNT(bad_alias where city = 'Aguada'), COUNT(bad_alias where city = 'Aguadilla'));
|
SELECT COUNT(CASE WHEN T2.city = 'Aguada' THEN T1.bad_alias ELSE NULL END) - COUNT(CASE WHEN T2.city = 'Aguadilla' THEN T1.bad_alias ELSE NULL END) AS DIFFERENCE FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,197 | 5,197 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT
)
CREATE TABLE `avoid`
(
zip_code INTEGER,
bad_alias TEXT,
primary key zip_code, bad_alias,
foreign key zip_code references zip_datazip_code
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 15 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
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76,
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80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
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140,
141,
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143,
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153,
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158,
159,
160,
162,
163,
164,
165,
166,
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169,
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171,
172,
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176,
177,
179,
180,
183,
184,
186,
187,
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190,
191,
192,
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196,
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200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
508,
509,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Which state has greater than 50 CBSA officers of metro type?
|
greater than 50 CBSA officers of metro type refers to COUNT(CBSA_type = 'Metro') > 50;
|
SELECT T2.state FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_type = 'Metro' GROUP BY T2.state HAVING COUNT(T1.CBSA_type) > 50
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,198 | 5,198 |
CREATE TABLE `CBSA`
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE `zip_data`
(
state TEXT,
type TEXT,
state_fips INTEGER,
CBSA INTEGER,
foreign key state references stateabbreviation,
foreign key CBSA references CBSACBSA
)
|
[
"GROUP BY",
"AS",
"SELECT",
"HAVING",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 9 |
simple
|
{
"case_1": [
721
],
"case_2": [
721
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
179,
180,
182,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
481,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
718,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
817,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Provide the population of Arecibo in 2020.
|
population of Arecibo in 2020 refers to SUM(population_2020) where county = 'ARECIBO';
|
SELECT SUM(T2.population_2020) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'ARECIBO'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,199 | 5,199 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
population_2020 INTEGER
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"SUM",
"INNER JOIN",
"ON",
"FROM"
] | 7 |
simple
|
{
"case_1": [
363,
717,
1034
],
"case_2": [
363,
717,
1034
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
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14,
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19,
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72,
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135,
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145,
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150,
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152,
153,
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183,
184,
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190,
191,
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196,
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239,
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241,
242,
243,
244,
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250,
254,
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258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
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389,
390,
391,
392,
393,
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395,
398,
401,
402,
403,
405,
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411,
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520,
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522,
523,
524,
526,
527,
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529,
530,
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535,
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537,
538,
539,
540,
541,
544,
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550,
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556,
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560,
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562,
563,
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565,
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567,
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570,
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580,
581,
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590,
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596,
597,
600,
602,
605,
606,
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610,
611,
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615,
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620,
621,
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670,
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681,
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685,
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687,
688,
690,
691,
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695,
696,
697,
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700,
701,
702,
704,
705,
706,
710,
711,
712,
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715,
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722,
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728,
733,
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735,
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739,
740,
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1000,
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1008,
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1015,
1016,
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1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Indicate the name of the country with a population greater than 10000 in 2010.
|
population greater than 10000 in 2010 refers to population_2010 > 10000;
|
SELECT DISTINCT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.population_2010 > 10000
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,200 | 5,200 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
population_2010 INTEGER
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
363,
717,
1034
],
"case_2": [
363,
717,
1034
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Name the country with the largest number of households in a residential area.
|
the largest number of households refers to MAX(households);
|
SELECT T1.county FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code GROUP BY T1.county ORDER BY T2.households DESC LIMIT 1
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,201 | 5,201 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
households INTEGER
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"GROUP BY",
"AS",
"SELECT",
"ORDER BY",
"LIMIT",
"INNER JOIN",
"ON",
"DESC",
"FROM"
] | 10 |
simple
|
{
"case_1": [
363,
717,
1034
],
"case_2": [
363,
717,
1034
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
33,
34,
36,
37,
38,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
78,
80,
81,
82,
83,
84,
85,
86,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
108,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
133,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
173,
174,
175,
176,
177,
179,
180,
181,
183,
184,
185,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
208,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
252,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
285,
286,
287,
289,
290,
291,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
337,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
348,
349,
352,
353,
354,
356,
357,
358,
359,
360,
361,
363,
364,
365,
368,
369,
370,
371,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
400,
401,
402,
403,
404,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
534,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
576,
577,
578,
579,
580,
581,
582,
583,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
619,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
664,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
698,
699,
700,
701,
702,
703,
704,
705,
706,
708,
710,
711,
712,
714,
715,
717,
719,
720,
721,
722,
723,
724,
725,
726,
727,
728,
732,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
748,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
815,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
836,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
869,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
943,
944,
946,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
972,
973,
974,
975,
977,
980,
981,
983,
985,
986,
987,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1010,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1030,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1057,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1076,
1077,
1078,
1080,
1082,
1083,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137,
1139,
1141
]
}
|
address
|
Calculate the percentage of households in residential areas of countries over 10000.
|
DIVIDE(SUM(households > 10000), SUM(households)) as percentage;
|
SELECT CAST(COUNT(CASE WHEN T2.households > 10000 THEN T1.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T1.zip_code) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,202 | 5,202 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
households INTEGER
)
CREATE TABLE `country`
(
zip_code INTEGER,
primary key zip_code,
foreign key zip_code references zip_datazip_code
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 13 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
299,
485,
573,
721,
762
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
4,
6,
11,
16,
22,
24,
27,
30,
36,
37,
42,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
86,
88,
91,
93,
96,
98,
106,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
138,
140,
142,
143,
146,
148,
150,
152,
153,
155,
158,
159,
160,
164,
167,
169,
170,
171,
175,
179,
183,
184,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
200,
201,
202,
206,
207,
212,
214,
215,
219,
223,
225,
226,
227,
229,
233,
234,
236,
243,
244,
247,
248,
254,
256,
258,
261,
264,
267,
268,
269,
271,
276,
277,
278,
279,
298,
299,
300,
301,
303,
304,
311,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
358,
360,
364,
370,
373,
374,
375,
382,
383,
384,
391,
392,
393,
394,
395,
398,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
443,
444,
445,
448,
451,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
508,
509,
514,
515,
516,
517,
518,
519,
520,
522,
526,
528,
532,
533,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
580,
581,
582,
589,
595,
596,
597,
606,
608,
611,
613,
620,
623,
627,
628,
630,
632,
633,
634,
637,
640,
641,
645,
646,
649,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
676,
681,
682,
686,
687,
688,
690,
694,
696,
705,
706,
710,
712,
714,
721,
723,
724,
727,
733,
734,
735,
736,
739,
740,
743,
744,
747,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
776,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
824,
827,
830,
832,
837,
838,
839,
841,
844,
848,
849,
851,
853,
857,
866,
867,
868,
870,
871,
874,
876,
877,
880,
886,
888,
893,
894,
896,
897,
898,
901,
902,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
963,
969,
975,
977,
981,
985,
986,
993,
996,
998,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1022,
1023,
1036,
1037,
1042,
1043,
1047,
1048,
1050,
1051,
1058,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1123,
1124,
1128,
1129,
1131,
1133,
1134,
1135,
1137
]
}
|
address
|
Among the types of postal points in Saint Croix, what percentage of postal points is the post office?
|
DIVIDE(COUNT(type = 'Post Office' ), COUNT(type)) as percentage where county = 'SAINT CROIX';
|
SELECT CAST(COUNT(CASE WHEN T2.type = 'Post Office' THEN T1.zip_code ELSE NULL END) AS REAL) * 100 / COUNT(T1.zip_code) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'SAINT CROIX'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,203 | 5,203 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
type TEXT
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"CASE WHEN",
"AS",
"SELECT",
"CASE",
"NULL",
"INNER JOIN",
"ON",
"CAST",
"COUNT",
"FROM"
] | 13 |
medium
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
299,
485,
573,
721,
762
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
4,
6,
11,
16,
22,
24,
27,
30,
36,
37,
42,
47,
51,
53,
55,
61,
62,
63,
64,
68,
69,
71,
73,
74,
75,
77,
81,
82,
86,
88,
91,
93,
96,
98,
106,
113,
115,
117,
118,
119,
120,
121,
125,
126,
127,
129,
131,
138,
140,
142,
143,
146,
148,
150,
152,
153,
155,
158,
159,
160,
164,
167,
169,
170,
171,
175,
179,
183,
184,
187,
188,
189,
190,
191,
192,
195,
196,
197,
199,
200,
201,
202,
206,
207,
212,
214,
215,
219,
223,
225,
226,
227,
229,
233,
234,
236,
243,
244,
247,
248,
254,
256,
258,
261,
264,
267,
268,
269,
271,
276,
277,
278,
279,
298,
299,
300,
301,
303,
304,
311,
314,
316,
317,
319,
320,
322,
323,
325,
330,
334,
335,
336,
338,
339,
341,
344,
345,
347,
349,
354,
358,
360,
364,
370,
373,
374,
375,
382,
383,
384,
391,
392,
393,
394,
395,
398,
401,
402,
403,
406,
409,
411,
412,
415,
416,
417,
423,
424,
426,
427,
436,
438,
443,
444,
445,
448,
451,
452,
453,
454,
458,
460,
462,
464,
465,
467,
469,
471,
473,
476,
477,
478,
479,
483,
484,
485,
486,
487,
488,
490,
493,
500,
504,
505,
508,
509,
514,
515,
516,
517,
518,
519,
520,
522,
526,
528,
532,
533,
535,
536,
537,
538,
540,
544,
547,
548,
550,
552,
558,
559,
560,
563,
564,
566,
571,
573,
575,
580,
581,
582,
589,
595,
596,
597,
606,
608,
611,
613,
620,
623,
627,
628,
630,
632,
633,
634,
637,
640,
641,
645,
646,
649,
654,
658,
659,
662,
663,
665,
666,
668,
669,
671,
672,
676,
681,
682,
686,
687,
688,
690,
694,
696,
705,
706,
710,
712,
714,
721,
723,
724,
727,
733,
734,
735,
736,
739,
740,
743,
744,
747,
749,
750,
752,
753,
756,
760,
762,
768,
769,
772,
776,
778,
779,
787,
788,
790,
795,
796,
797,
798,
799,
800,
802,
804,
805,
808,
810,
812,
813,
814,
818,
819,
824,
827,
830,
832,
837,
838,
839,
841,
844,
848,
849,
851,
853,
857,
866,
867,
868,
870,
871,
874,
876,
877,
880,
886,
888,
893,
894,
896,
897,
898,
901,
902,
909,
911,
912,
915,
917,
918,
922,
923,
924,
926,
927,
930,
934,
935,
941,
943,
944,
950,
951,
954,
956,
958,
959,
961,
963,
969,
975,
977,
981,
985,
986,
993,
996,
998,
1005,
1006,
1008,
1010,
1012,
1013,
1015,
1022,
1023,
1036,
1037,
1042,
1043,
1047,
1048,
1050,
1051,
1058,
1062,
1064,
1066,
1067,
1069,
1071,
1072,
1078,
1082,
1084,
1086,
1087,
1092,
1094,
1098,
1100,
1101,
1103,
1104,
1106,
1112,
1119,
1123,
1124,
1128,
1129,
1131,
1133,
1134,
1135,
1137
]
}
|
address
|
Among the area code 787, list the country of the cities with a postal point type of unique postal office.
|
postal point type of unique postal office refers to type = 'Unique Post Office';
|
SELECT DISTINCT T2.county FROM area_code AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code INNER JOIN zip_data AS T3 ON T1.zip_code = T3.zip_code WHERE T1.area_code = '787' AND T3.type = 'Unique Post Office'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,204 | 5,204 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
type TEXT
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
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]
}
|
address
|
What is the elevation of the city with the alias East Longmeadow?
|
SELECT T2.elevation FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'East Longmeadow'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,205 | 5,205 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
elevation INTEGER
)
CREATE TABLE `alias`
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
221,
587
],
"case_2": [
221,
587
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
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11,
12,
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16,
18,
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260,
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349,
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501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
address
|
In cities that do not implement daylight savings, what is the total number of cities?
|
do not implement daylight savings refers to daylight_savings = 'No';
|
SELECT COUNT(T1.area_code) FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.daylight_savings = 'No'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,206 | 5,206 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
daylight_savings TEXT
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"COUNT",
"FROM"
] | 7 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
507,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Give the country and area code of the city with zip code 1116.
|
SELECT T2.county, T1.area_code FROM area_code AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T1.zip_code = 1116
|
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,207 | 5,207 |
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
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29,
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41,
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61,
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111,
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116,
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126,
127,
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141,
142,
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148,
150,
151,
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234,
235,
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240,
241,
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256,
257,
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260,
261,
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263,
264,
265,
266,
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268,
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271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
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389,
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393,
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395,
398,
401,
402,
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405,
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482,
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491,
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503,
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514,
515,
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530,
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538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
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562,
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620,
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630,
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636,
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640,
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650,
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654,
655,
657,
658,
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660,
661,
662,
663,
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666,
668,
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670,
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672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
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694,
695,
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697,
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700,
701,
702,
704,
705,
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710,
711,
712,
714,
715,
717,
720,
721,
722,
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724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
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753,
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790,
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800,
802,
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827,
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830,
832,
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835,
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838,
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841,
844,
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846,
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851,
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891,
892,
893,
894,
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896,
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901,
902,
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912,
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988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
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1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
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1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
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1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
address
|
Among the cities with alias St Thomas, provide the type of postal point for each city.
|
SELECT DISTINCT T2.type FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'St Thomas'
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,208 | 5,208 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
type TEXT
)
CREATE TABLE `alias`
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 6 |
simple
|
{
"case_1": [
221,
587
],
"case_2": [
221,
587
],
"case_3": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
61,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
87,
88,
89,
90,
91,
92,
93,
94,
95,
96,
97,
98,
99,
101,
102,
104,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
192,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
215,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
263,
264,
265,
266,
267,
268,
269,
271,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
286,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
303,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
380,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
423,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
443,
444,
445,
446,
447,
448,
449,
450,
451,
452,
453,
454,
455,
456,
457,
458,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
485,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
504,
505,
506,
507,
508,
509,
510,
511,
514,
515,
516,
517,
518,
519,
520,
521,
522,
523,
524,
526,
527,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
542,
544,
547,
548,
550,
552,
555,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
653,
654,
655,
657,
658,
659,
660,
661,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
781,
782,
783,
784,
786,
787,
788,
790,
792,
793,
795,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
913,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
929,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
978,
980,
981,
982,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1004,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1036,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1048,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1069,
1070,
1071,
1072,
1074,
1075,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1113,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1129,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
|
address
|
List down the names of the cities belonging to Noble, Oklahoma.
|
the county of Noble is located in the state of Oklahoma;
|
SELECT T3.city FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state INNER JOIN zip_data AS T3 ON T2.zip_code = T3.zip_code WHERE T1.name = 'Oklahoma' AND T2.county = 'NOBLE'
|
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,209 | 5,209 |
CREATE TABLE `state`
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
state_fips INTEGER,
foreign key state references stateabbreviation
)
CREATE TABLE `country`
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key zip_code, county,
foreign key zip_code references zip_datazip_code,
foreign key state references stateabbreviation
)
|
[
"AS",
"AND",
"SELECT",
"INNER JOIN",
"ON",
"FROM"
] | 10 |
simple
|
{
"case_1": [
-1
],
"case_2": [
-1
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
10,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
223,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
305,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
367,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
510,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
601,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
798,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
998,
999,
1000,
1001,
1003,
1005,
1006,
1008,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1121,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
address
|
Among the listed cities, provide the area code of the city with the largest water area.
|
the largest water area refers to MAX(water_area);
|
SELECT T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.water_area = ( SELECT MAX(water_area) FROM zip_data )
|
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
|
CREATE TABLE CBSA
(
CBSA INTEGER
primary key,
CBSA_name TEXT,
CBSA_type TEXT
)
CREATE TABLE state
(
abbreviation TEXT
primary key,
name TEXT
)
CREATE TABLE congress
(
cognress_rep_id TEXT
primary key,
first_name TEXT,
last_name TEXT,
CID TEXT,
party TEXT,
state TEXT,
abbreviation TEXT,
House TEXT,
District INTEGER,
land_area REAL,
foreign key (abbreviation) references state(abbreviation)
)
CREATE TABLE zip_data
(
zip_code INTEGER
primary key,
city TEXT,
state TEXT,
multi_county TEXT,
type TEXT,
organization TEXT,
time_zone TEXT,
daylight_savings TEXT,
latitude REAL,
longitude REAL,
elevation INTEGER,
state_fips INTEGER,
county_fips INTEGER,
region TEXT,
division TEXT,
population_2020 INTEGER,
population_2010 INTEGER,
households INTEGER,
avg_house_value INTEGER,
avg_income_per_household INTEGER,
persons_per_household REAL,
white_population INTEGER,
black_population INTEGER,
hispanic_population INTEGER,
asian_population INTEGER,
american_indian_population INTEGER,
hawaiian_population INTEGER,
other_population INTEGER,
male_population INTEGER,
female_population INTEGER,
median_age REAL,
male_median_age REAL,
female_median_age REAL,
residential_mailboxes INTEGER,
business_mailboxes INTEGER,
total_delivery_receptacles INTEGER,
businesses INTEGER,
"1st_quarter_payroll" INTEGER,
annual_payroll INTEGER,
employees INTEGER,
water_area REAL,
land_area REAL,
single_family_delivery_units INTEGER,
multi_family_delivery_units INTEGER,
total_beneficiaries INTEGER,
retired_workers INTEGER,
disabled_workers INTEGER,
parents_and_widowed INTEGER,
spouses INTEGER,
children INTEGER,
over_65 INTEGER,
monthly_benefits_all INTEGER,
monthly_benefits_retired_workers INTEGER,
monthly_benefits_widowed INTEGER,
CBSA INTEGER,
foreign key (state) references state(abbreviation),
foreign key (CBSA) references CBSA(CBSA)
)
CREATE TABLE alias
(
zip_code INTEGER
primary key,
alias TEXT,
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE area_code
(
zip_code INTEGER,
area_code INTEGER,
primary key (zip_code, area_code),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE avoid
(
zip_code INTEGER,
bad_alias TEXT,
primary key (zip_code, bad_alias),
foreign key (zip_code) references zip_data(zip_code)
)
CREATE TABLE country
(
zip_code INTEGER,
county TEXT,
state TEXT,
primary key (zip_code, county),
foreign key (zip_code) references zip_data(zip_code),
foreign key (state) references state(abbreviation)
)
CREATE TABLE zip_congress
(
zip_code INTEGER,
district TEXT,
primary key (zip_code, district),
foreign key (district) references congress(cognress_rep_id),
foreign key (zip_code) references zip_data(zip_code)
)
|
na
| 5,210 | 5,210 |
CREATE TABLE `zip_data`
(
zip_code INTEGER
primary key,
water_area REAL
)
CREATE TABLE `area_code`
(
zip_code INTEGER,
area_code INTEGER,
primary key zip_code, area_code,
foreign key zip_code references zip_datazip_code
)
|
[
"AS",
"SELECT",
"INNER JOIN",
"ON",
"FROM",
"MAX"
] | 9 |
simple
|
{
"case_1": [
165
],
"case_2": [
165,
299
],
"case_3": [
165,
221,
299,
363,
455,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_4": [
165,
221,
299,
363,
455,
485,
573,
587,
607,
699,
717,
720,
721,
762,
1034,
1114,
1115
],
"case_5": [
0,
1,
3,
4,
5,
6,
7,
8,
11,
12,
14,
16,
18,
19,
20,
21,
22,
23,
24,
26,
27,
29,
30,
33,
34,
35,
36,
37,
39,
41,
42,
44,
45,
46,
47,
48,
49,
51,
52,
53,
55,
57,
58,
59,
62,
63,
64,
65,
66,
68,
69,
70,
71,
72,
73,
74,
75,
76,
77,
80,
81,
82,
83,
84,
85,
86,
88,
90,
91,
93,
94,
95,
96,
97,
98,
99,
101,
102,
105,
106,
107,
111,
112,
113,
115,
116,
117,
118,
119,
120,
121,
125,
126,
127,
128,
129,
130,
131,
132,
134,
135,
136,
137,
138,
139,
140,
141,
142,
143,
144,
145,
146,
148,
150,
151,
152,
153,
154,
155,
158,
159,
160,
162,
163,
164,
165,
166,
167,
169,
170,
171,
172,
175,
176,
177,
178,
179,
180,
183,
184,
186,
187,
188,
189,
190,
191,
194,
195,
196,
197,
199,
200,
201,
202,
206,
207,
211,
212,
213,
214,
217,
218,
219,
220,
221,
225,
226,
227,
228,
229,
232,
233,
234,
235,
236,
239,
240,
241,
242,
243,
244,
246,
247,
248,
250,
254,
256,
257,
258,
260,
261,
262,
264,
265,
266,
267,
268,
269,
272,
275,
276,
277,
278,
279,
280,
281,
282,
284,
287,
289,
290,
292,
295,
296,
297,
298,
299,
300,
301,
302,
304,
307,
308,
309,
311,
312,
313,
314,
315,
316,
317,
318,
319,
320,
321,
322,
323,
324,
325,
329,
330,
333,
334,
335,
336,
338,
339,
340,
341,
342,
343,
344,
345,
346,
347,
349,
353,
354,
356,
357,
358,
360,
361,
363,
364,
365,
368,
369,
370,
373,
374,
375,
376,
378,
379,
381,
382,
383,
384,
385,
386,
387,
388,
389,
390,
391,
392,
393,
394,
395,
398,
401,
402,
403,
405,
406,
407,
408,
409,
411,
412,
413,
414,
415,
416,
417,
419,
422,
424,
425,
426,
427,
428,
429,
430,
431,
432,
433,
434,
435,
436,
437,
438,
440,
441,
444,
445,
446,
447,
448,
449,
450,
451,
452,
454,
455,
456,
457,
459,
460,
462,
463,
464,
465,
466,
467,
469,
470,
471,
472,
473,
474,
475,
476,
477,
478,
479,
480,
482,
483,
484,
486,
487,
488,
489,
490,
491,
493,
494,
495,
496,
497,
498,
499,
500,
501,
503,
505,
507,
509,
511,
514,
515,
516,
518,
519,
520,
521,
522,
523,
524,
526,
528,
529,
530,
532,
533,
535,
536,
537,
538,
539,
540,
541,
544,
547,
548,
550,
552,
556,
557,
558,
559,
560,
561,
562,
563,
564,
565,
566,
567,
569,
570,
571,
572,
573,
574,
575,
577,
578,
579,
580,
581,
582,
584,
586,
587,
588,
589,
590,
592,
593,
595,
596,
597,
600,
602,
605,
606,
607,
608,
609,
610,
611,
612,
613,
614,
615,
616,
620,
621,
623,
624,
625,
626,
627,
628,
630,
631,
632,
633,
634,
636,
637,
638,
639,
640,
641,
643,
644,
645,
646,
647,
648,
649,
650,
651,
652,
654,
655,
657,
658,
659,
660,
662,
663,
665,
666,
668,
669,
670,
671,
672,
674,
675,
676,
677,
678,
681,
682,
683,
684,
685,
686,
687,
688,
690,
691,
693,
694,
695,
696,
697,
699,
700,
701,
702,
704,
705,
706,
710,
711,
712,
714,
715,
717,
720,
721,
722,
723,
724,
725,
726,
727,
728,
733,
734,
735,
736,
739,
740,
741,
742,
743,
744,
745,
746,
747,
749,
750,
751,
752,
753,
754,
755,
756,
758,
759,
760,
761,
762,
763,
764,
765,
766,
767,
768,
769,
771,
772,
773,
774,
775,
776,
777,
778,
779,
780,
782,
783,
784,
786,
787,
788,
790,
792,
793,
796,
797,
799,
800,
802,
803,
804,
805,
806,
807,
808,
809,
810,
812,
813,
814,
818,
819,
822,
823,
824,
825,
827,
828,
829,
830,
832,
833,
834,
835,
837,
838,
839,
841,
844,
845,
846,
848,
849,
850,
851,
852,
853,
854,
857,
858,
859,
860,
861,
862,
863,
866,
867,
868,
870,
871,
873,
874,
875,
876,
877,
878,
879,
880,
881,
882,
885,
886,
887,
888,
889,
891,
892,
893,
894,
895,
896,
897,
898,
900,
901,
902,
904,
905,
907,
908,
909,
910,
911,
912,
914,
915,
916,
917,
918,
922,
923,
924,
925,
926,
927,
928,
930,
931,
932,
934,
935,
936,
937,
938,
940,
941,
943,
944,
949,
950,
951,
952,
953,
954,
956,
958,
959,
961,
962,
963,
964,
966,
967,
969,
970,
971,
973,
974,
975,
977,
980,
981,
985,
986,
988,
991,
993,
994,
996,
997,
999,
1000,
1001,
1003,
1005,
1006,
1010,
1011,
1012,
1013,
1015,
1016,
1017,
1019,
1022,
1023,
1025,
1027,
1029,
1031,
1033,
1034,
1035,
1037,
1038,
1039,
1041,
1042,
1043,
1044,
1045,
1046,
1047,
1049,
1050,
1051,
1052,
1056,
1058,
1060,
1061,
1062,
1063,
1064,
1065,
1066,
1067,
1068,
1071,
1072,
1074,
1078,
1080,
1082,
1084,
1085,
1086,
1087,
1089,
1091,
1092,
1094,
1095,
1098,
1099,
1100,
1101,
1103,
1104,
1105,
1106,
1109,
1111,
1112,
1114,
1115,
1116,
1118,
1119,
1122,
1123,
1124,
1128,
1130,
1131,
1132,
1133,
1134,
1135,
1136,
1137
]
}
|
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