United States

United States Census 2020 + ACS 2022 USA-CENSUS-2020 Census

3,273 rows · 3 table(s) U.S. Census Bureau 0 1 2 3 64 SEL 20 CCL 10 ext ▶

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0 Admin 0 — 1 table(s)

USA Census 2020 - National Level — 1 rows, 31 columns

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Field details — 31 fields (type, nulls, unique, samples)

Standards-Aligned Fields (24)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`NAME`	NAME	string	SEL	0%	-	United States
`total_population`	total population	integer	SEL	0%	-	331449281
`median_age`	median age	integer	SEL	0%	-	38
`median_household_income`	median household income	integer	SEL	0%	-	75149
`per_capita_income`	per capita income	integer	SEL	0%	-	41261
`median_home_value`	median home value	integer	SEL	0%	-	281900
`median_gross_rent`	median gross rent	integer	SEL	0%	-	1268
`bachelors_degree`	bachelors degree	integer	SEL	0%	-	47391673
`masters_degree`	masters degree	integer	SEL	0%	-	21693046
`doctoral_degree`	doctoral degree	integer	SEL	0%	-	3546641
`civilian_labor_force`	civilian labor force	integer	SEL	0%	-	167857207
`unemployed`	unemployed	integer	SEL	0%	-	8944003
`population_one_race_white`	population one race white	integer	SEL	0%	-	204277273
`population_one_race_black`	population one race black	integer	SEL	0%	-	41104200
`population_one_race_aian`	population one race aian	integer	SEL	0%	-	3727135
`population_one_race_asian`	population one race asian	integer	SEL	0%	-	19886049
`population_one_race_nhpi`	population one race nhpi	integer	SEL	0%	-	689966
`population_one_race_other`	population one race other	integer	SEL	0%	-	27915715
`population_two_or_more_races`	population two or more races	integer	SEL	0%	-	33848943
`total_population_18_over`	total population 18 over	integer	SEL	0%	-	258343281
`total_population_hispanic`	total population hispanic	integer	SEL	0%	-	258343281
`population_not_hispanic`	population not hispanic	integer	SEL	0%	-	215020489
`housing_units_occupied`	housing units occupied	integer	SEL	0%	-	126817580
`housing_units_vacant`	housing units vacant	integer	SEL	0%	-	13681156

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`total_housing_units`	total_housing_units	integer	0%	-	140498736
`housing_occupied`	housing_occupied	integer	0%	-	125736353
`housing_vacant`	housing_vacant	integer	0%	-	15207260
`income_below_poverty`	income_below_poverty	integer	0%	-	40521584
`median_year_structure_built`	median_year_structure_built	integer	0%	-	1979
`us`	us	string	0%	-	1
`population_hispanic`	population_hispanic	integer	0%	-	43322792

1 Admin 1 — 1 table(s)

USA Census 2020 - State Level — 52 rows, 31 columns

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Field details — 31 fields (type, nulls, unique, samples)

Standards-Aligned Fields (30)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`NAME`	NAME	string	SEL	0%	-	Pennsylvania, California, West Virginia, Utah, New York
`total_population`	total population	integer	SEL	0%	-	13002700, 39538223, 1793716, 3271616, 20201249
`median_age`	median age	integer	SEL	0%	-	40, 37, 42, 31, 39
`median_household_income`	median household income	integer	SEL	0%	-	73170, 91905, 55217, 86833, 81386
`per_capita_income`	per capita income	integer	SEL	0%	-	41234, 45591, 31462, 37023, 47173
`total_housing_units`	total housing units	integer	SEL	0%	-	5742828, 14392140, 855635, 1151414, 8488066
`housing_occupied`	housing occupied	integer	SEL	0%	-	5193727, 13315822, 716040, 1062819, 7604523
`housing_vacant`	housing vacant	integer	SEL	0%	-	560181, 1108620, 143102, 99835, 889929
`median_home_value`	median home value	integer	SEL	0%	-	226200, 659300, 145800, 408500, 384100
`median_gross_rent`	median gross rent	integer	SEL	0%	-	1110, 1856, 831, 1302, 1507
`bachelors_degree`	bachelors degree	integer	SEL	0%	-	1844355, 5935292, 171758, 468541, 3033763
`masters_degree`	masters degree	integer	SEL	0%	-	884422, 2515475, 84486, 173551, 1731771
`doctoral_degree`	doctoral degree	integer	SEL	0%	-	152773, 488925, 14085, 29475, 238322
`civilian_labor_force`	civilian labor force	integer	SEL	0%	-	6680740, 20011853, 783715, 1696258, 10253938
`unemployed`	unemployed	integer	SEL	0%	-	358729, 1282055, 47503, 56860, 638401
`income_below_poverty`	income below poverty	integer	SEL	0%	-	1482439, 4685272, 291860, 275188, 2655662
`median_year_structure_built`	median year structure built	integer	SEL	0%	-	1964, 1976, 1975, 1990, 1958
`population_one_race_white`	population one race white	integer	CCL	0%	-	9750687, 16296122, 1610749, 2573413, 11143349
`population_one_race_black`	population one race black	integer	CCL	0%	-	1423169, 2237044, 65813, 40058, 2986172
`population_one_race_aian`	population one race aian	integer	CCL	0%	-	31052, 631016, 3706, 41644, 149690
`population_one_race_asian`	population one race asian	integer	CCL	0%	-	510501, 6085947, 15109, 80438, 1933127
`population_one_race_nhpi`	population one race nhpi	integer	CCL	0%	-	4276, 157263, 476, 36930, 10815
`population_one_race_other`	population one race other	integer	CCL	0%	-	508531, 8370596, 12919, 220120, 2210633
`population_two_or_more_races`	population two or more races	integer	CCL	0%	-	774484, 5760235, 84944, 279013, 1767463
`total_population_18_over`	total population 18 over	integer	SEL	0%	-	10353548, 30827105, 1432932, 2324051, 16088135
`total_population_hispanic`	total population hispanic	integer	CCL	0%	-	10353548, 30827105, 1432932, 2324051, 16088135
`population_hispanic`	population hispanic	integer	CCL	0%	-	704258, 11083294, 23483, 316610, 2925886
`population_not_hispanic`	population not hispanic	integer	CCL	0%	-	9649290, 19743811, 1409449, 2007441, 13162249
`housing_units_occupied`	housing units occupied	integer	SEL	0%	-	5210598, 13475623, 743442, 1057252, 7715172
`housing_units_vacant`	housing units vacant	integer	SEL	0%	-	532230, 916517, 112193, 94162, 772894

Extension Fields (1) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`state`	state	string	0%	-	42, 06, 54, 49, 36

2 Admin 2 — 1 table(s)

USA Census 2020 - County Level — 3,221 rows, 32 columns

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Field details — 32 fields (type, nulls, unique, samples)

Standards-Aligned Fields (30)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`NAME`	NAME	string	SEL	0%	-	Autauga County, Alabama, Baldwin County, Alabama,...
`total_population`	total population	integer	SEL	0%	-	58805, 231767, 25223, 22293, 59134
`median_age`	median age	integer	SEL	0%	-	39, 43, 40, 40, 40
`median_household_income`	median household income	integer	SEL	0%	-	68315, 71039, 39712, 50669, 57440
`per_capita_income`	per capita income	integer	SEL	0%	-	35332, 38907, 23378, 24966, 29053
`total_housing_units`	total housing units	integer	SEL	0%	-	24350, 124148, 11618, 9002, 24622
`housing_occupied`	housing occupied	integer	SEL	0%	-	22308, 90802, 9016, 7216, 21626
`housing_vacant`	housing vacant	integer	SEL	0%	-	2149, 34311, 2657, 1830, 3051
`median_home_value`	median home value	integer	SEL	0%	-	191800, 266000, 102700, 120100, 159800
`median_gross_rent`	median gross rent	integer	SEL	0%	-	1199, 1160, 627, 765, 734
`bachelors_degree`	bachelors degree	integer	SEL	0%	-	6726, 33474, 1167, 1047, 3840
`masters_degree`	masters degree	integer	SEL	0%	-	4014, 15077, 640, 507, 1751
`doctoral_degree`	doctoral degree	integer	SEL	0%	-	437, 2351, 105, 76, 156
`civilian_labor_force`	civilian labor force	integer	SEL	0%	-	27163, 111079, 8968, 9028, 26434
`unemployed`	unemployed	integer	SEL	0%	-	752, 3825, 516, 786, 1578
`income_below_poverty`	income below poverty	integer	SEL	0%	-	6630, 23445, 5280, 4297, 8277
`median_year_structure_built`	median year structure built	integer	SEL	0%	-	1992, 1997, 1981, 1984, 1988
`population_one_race_white`	population one race white	integer	CCL	0%	-	42160, 189399, 11317, 16555, 50663
`population_one_race_black`	population one race black	integer	CCL	0%	-	11445, 18217, 11933, 4413, 845
`population_one_race_aian`	population one race aian	integer	CCL	0%	-	217, 1582, 116, 60, 337
`population_one_race_asian`	population one race asian	integer	CCL	0%	-	881, 2067, 117, 32, 178
`population_one_race_nhpi`	population one race nhpi	integer	CCL	0%	-	35, 143, 1, 9, 24
`population_one_race_other`	population one race other	integer	CCL	0%	-	910, 5335, 1039, 465, 3431
`population_two_or_more_races`	population two or more races	integer	CCL	0%	-	3157, 15024, 700, 759, 3656
`total_population_18_over`	total population 18 over	integer	SEL	0%	-	44523, 182471, 20134, 17533, 45403
`total_population_hispanic`	total population hispanic	integer	CCL	0%	-	44523, 182471, 20134, 17533, 45403
`population_hispanic`	population hispanic	integer	CCL	0%	-	1339, 8197, 934, 463, 3534
`population_not_hispanic`	population not hispanic	integer	CCL	0%	-	43184, 174274, 19200, 17070, 41869
`housing_units_occupied`	housing units occupied	integer	SEL	0%	-	22412, 93116, 9677, 7927, 22367
`housing_units_vacant`	housing units vacant	integer	SEL	0%	-	1938, 31032, 1941, 1075, 2255

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`state`	state	string	0%	-	01, 01, 01, 01, 01
`county`	county	string	0%	-	001, 003, 005, 007, 009

USA School District Profiles (NCES) USA-SCHOOL-DISTRICTS Education

19,874 rows · 1 table(s) NCES CCD/F-33/EdFacts 0 1 2 3 2 SEL 15 ext ▶

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3 Admin 3 — 1 table(s)

USA School District Profiles (NCES) — 19,874 rows, 17 columns

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Field details — 17 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`leaid`	Admin code	float	SEL	0%	100	0100002, 0100005, 0100006, 0100007, 0100008
`district_name`	Admin name	string	SEL	0%	100	Alabama Youth Services, Albertville City, Marshall...

Extension Fields (15) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`state`	state	string	0%	1	AL, AL, AL, AL, AL
`state_fips`	state_fips	float	0%	1	01, 01, 01, 01, 01
`county_fips`	county_fips	float	0%	55	01101, 01095, 01095, 01073, 01089
`city`	city	string	0%	82	Mt Meigs, Albertville, Guntersville, Hoover, Madison
`zip`	zip	float	0%	88	36057, 35950, 35976, 35243, 35758
`lat`	lat	string	0%	1	, , , ,
`lon`	lon	string	0%	1	, , , ,
`enrollment`	enrollment	string	0%	95	, 5900, 5951, 13557, 12473
`teachers`	teachers	string	0%	1	, , , ,
`per_pupil_spending`	per_pupil_spending	integer	6%	94	13794, 14746, 15545, 15139, 12842
`per_pupil_instruction`	per_pupil_instruction	integer	6%	94	6277, 7065, 8516, 6830, 6883
`exp_total`	exp_total	float	6%	94	81386000.0, 87755000.0, 210750000.0, 188825000.0, 28548000.0
`rev_total`	rev_total	float	6%	94	90930000.0, 87722000.0, 229684000.0, 207095000.0, 33785000.0
`math_proficiency_pct`	math_proficiency_pct	float	15%	38	17.0, 14.0, 45.0, 51.0, 20.0
`reading_proficiency_pct`	reading_proficiency_pct	float	11%	42	39.0, 38.0, 66.0, 71.0, 45.0

USA State Legislation (LegiScan) USA-LEGISCAN-LEGISLATION Legislation

3,878 rows · 1 table(s) LegiScan 0 1 2 3 2 SEL 15 ext ▶

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1 Admin 1 — 1 table(s)

USA State Legislation (LegiScan) — 3,878 rows, 17 columns

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Field details — 17 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`state_abbr`	Admin name	string	SEL	0%	25	OK, AZ, OK, TN, OK
`state_fips`	Admin code	float	SEL	0%	25	40, 04, 40, 47, 40

Extension Fields (15) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`bill_id`	bill_id	float	0%	100	2049172, 2102840, 2049849, 1952530, 2050491
`bill_number`	bill_number	string	0%	100	HB2807, SB1641, SB697, HB0703, SB518
`title`	title	string	0%	88	Medical marijuana; medical marijuana transporter...
`description`	description	string	0%	88	Medical marijuana; medical marijuana transporter...
`status`	status	string	0%	1	unknown, unknown, unknown, unknown, unknown
`status_raw`	status_raw	string	0%	1	, , , ,
`last_action`	last_action	string	0%	73	Becomes law without Governor's signature 05/25/2025,...
`last_action_date`	last_action_date	string	0%	59	2025-05-27, 2026-03-24, 2025-05-22, 2025-03-26, 2025-05-21
`url`	url	string	0%	100	https://legiscan.com/OK/bill/HB2807/2026,...
`relevance_score`	relevance_score	float	0%	2	100.0, 99.0, 99.0, 99.0, 99.0
`topic`	topic	string	0%	1	cannabis, cannabis, cannabis, cannabis, cannabis
`matched_keyword`	matched_keyword	string	0%	2	marijuana, marijuana, marijuana, marijuana, marijuana
`impact_type`	impact_type	string	0%	1	regulatory, regulatory, regulatory, regulatory, regulatory
`business_types`	business_types	string	0%	1	['dispensary', 'cannabis_cultivation',...
`source`	source	string	0%	1	LegiScan, LegiScan, LegiScan, LegiScan, LegiScan

USA County Master Profile (217 indicators) USA-COUNTY-MASTER-PROFILE Commercial

3,311 rows · 1 table(s) US Federal (BEA · BLS · Census · USDA · FEMA · FBI · FRED · HUD) 0 1 2 3 9 SEL 145 ext ▶

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2 Admin 2 — 1 table(s)

USA County Master Profile (217 indicators) — 3,311 rows, 154 columns

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Field details — 154 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`geoid`	Admin code	string	SEL	0%	100	01001, 01003, 01005, 01007, 01009
`county_fips`	Admin code	string	SEL	0%	97	001, 003, 005, 007, 009
`county_name`	Admin name	string	SEL	0%	100	Autauga, AL, Baldwin, AL, Barbour, AL, Bibb, AL, Blount, AL
`per_capita_income`	Per capita income	float	SEL	0%	96	49879.0, 57721.0, 41053.0, 38232.0, 44085.0
`pct_drove_alone`	Commute: drove alone (%)	float	SEL	5%	79	93.1, 87.2, 92.1, 94.4, 94.0
`pct_public_transit`	Commute: public transit (%)	float	SEL	5%	18	0.2, 0.1, 0.2, 0.1, 0.0
`median_gross_rent`	Median gross rent	string	SEL	5%	91	1200, 1211, 644, 802, 743
`median_household_income`	Median household income	string	SEL	5%	95	69841, 75019, 44290, 51215, 61096
`avg_commute_minutes`	Average commute time (minutes)	float	SEL	5%	81	28.9, 28.7, 27.7, 34.0, 38.4

Extension Fields (145) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`state_fips`	state_fips	string	0%	2	01, 01, 01, 01, 01
`state_name`	state_name	string	5%	2	AL, AL, AL, AL, AL
`rucc_code`	rucc_code	string	5%	9	2, 3, 6, 1, 1
`metro_nonmetro`	metro_nonmetro	string	5%	2	Metro, Metro, Nonmetro, Metro, Metro
`population_2020`	population_2020	string	5%	95	58805, 231767, 25223, 22293, 59134
`farming_dependent`	farming_dependent	string	5%	1	0, 0, 0, 0, 0
`mining_dependent`	mining_dependent	string	5%	2	0, 0, 0, 0, 0
`manufacturing_dependent`	manufacturing_dependent	string	5%	2	0, 0, 1, 0, 0
`government_dependent`	government_dependent	string	5%	2	0, 0, 0, 0, 0
`recreation_county`	recreation_county	string	5%	2	0, 1, 0, 0, 0
`persistent_poverty`	persistent_poverty	string	13%	2	0, 0, 1, 0, 0
`retirement_destination`	retirement_destination	string	5%	2	0, 1, 0, 0, 0
`personal_income_thousands`	personal_income_thousands	float	0%	96	2979576.0, 14232715.0, 1014902.0, 840465.0, 2622662.0
`population_bea`	population_bea	float	0%	96	59736.0, 246577.0, 24722.0, 21983.0, 59491.0
`net_earnings_thousands`	net_earnings_thousands	float	0%	96	858715.0, 5966769.0, 538239.0, 353392.0, 772599.0
`dividends_interest_rent_thousands`	dividends_interest_rent_thousands	float	0%	96	409242.0, 3190903.0, 145714.0, 81525.0, 279190.0
`transfer_payments_thousands`	transfer_payments_thousands	float	0%	96	699312.0, 3194374.0, 379292.0, 273129.0, 672912.0
`pct_income_from_earnings`	pct_income_from_earnings	float	5%	90	28.8, 41.9, 53.0, 42.0, 29.5
`pct_income_from_investments`	pct_income_from_investments	float	5%	69	13.7, 22.4, 14.4, 9.7, 10.6
`pct_income_from_transfers`	pct_income_from_transfers	float	5%	81	23.5, 22.4, 37.4, 32.5, 25.7
`gdp_thousands`	gdp_thousands	float	2%	96	1883611.0, 9224845.0, 748152.0, 458937.0, 1041201.0
`total_employment`	total_employment	float	0%	96	140296.0, 873579.0, 94149.0, 62982.0, 104214.0
`farm_earnings_thousands`	farm_earnings_thousands	float	2%	96	694911.0, 5214126.0, 395327.0, 275890.0, 526453.0
`manufacturing_earnings_thousands`	manufacturing_earnings_thousands	float	2%	86	66178.0, 695475.0, 18720.0, 85233.0, 83131.0
`healthcare_earnings_thousands`	healthcare_earnings_thousands	float	2%	76	19207.0, 154394.0, 33338.0, 24814.0, 0.0
`construction_earnings_thousands`	construction_earnings_thousands	float	2%	42	6666.0, 13772.0, 9752.0, 0.0, 0.0
`wholesale_earnings_thousands`	wholesale_earnings_thousands	float	2%	85	132566.0, 308118.0, 134696.0, 44044.0, 89946.0
`earnings_inflows_thousands`	earnings_inflows_thousands	float	1%	92	1341425.0, 3132500.0, 153656.0, 294015.0, 1115111.0
`earnings_outflows_thousands`	earnings_outflows_thousands	float	1%	94	216571.0, 491516.0, 133923.0, 113026.0, 127584.0
`net_commuter_earnings_thousands`	net_commuter_earnings_thousands	float	1%	95	1124854.0, 2640984.0, 19733.0, 180989.0, 987527.0
+115 more extension fields — download the CSV/Parquet to see them all.

USA Presidential Election Results 2020 + 2024 by County USA-ELECTION-2020-2024 Election

3,208 rows · 1 table(s) MIT Election Lab / tonmcg 0 1 2 3 4 SEL 10 ext ▶

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2 Admin 2 — 1 table(s)

USA County Election Results 2020+2024 — 3,208 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`geoid`	Admin code	float	SEL	0%	100	01001, 01003, 01005, 01007, 01009
`county_name`	Admin name	string	SEL	0%	100	Autauga County, Baldwin County, Barbour County, Bibb...
`total_votes_2020`	Total votes 2020	integer	SEL	33%	67	27770, 109679, 10518, 9595, 27588
`total_votes_2024`	Total votes 2024	integer	SEL	0%	99	28190, 121808, 9832, 9241, 28115

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`state_name`	state_name	string	0%	2	Alabama, Alabama, Alabama, Alabama, Alabama
`votes_gop_2020`	votes_gop_2020	integer	33%	67	19838, 83544, 5622, 7525, 24711
`votes_dem_2020`	votes_dem_2020	integer	33%	67	7503, 24578, 4816, 1986, 2640
`pct_gop_2020`	pct_gop_2020	float	33%	67	71.44, 76.17, 53.45, 78.43, 89.57
`pct_dem_2020`	pct_dem_2020	float	33%	66	27.02, 22.41, 45.79, 20.7, 9.57
`votes_gop_2024`	votes_gop_2024	integer	0%	100	20484, 95798, 5606, 7572, 25354
`votes_dem_2024`	votes_dem_2024	integer	0%	98	7439, 24934, 4158, 1619, 2576
`pct_gop_2024`	pct_gop_2024	float	0%	100	72.66, 78.65, 57.02, 81.94, 90.18
`pct_dem_2024`	pct_dem_2024	float	0%	99	26.39, 20.47, 42.29, 17.52, 9.16
`swing_r_2020_2024`	swing_r_2020_2024	float	33%	62	1.23, 2.48, 3.57, 3.51, 0.61

USA Global Data Lab USA-GDL Development Indices

1,768 rows · 1 table(s) Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

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1 Admin 1 — 1 table(s)

USA GDL - Subnational Indices — 1,768 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA, USA, USA, USA, USA
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	52	United States, Alabama, Alaska, Arizona, Arkansas
`human_development_index`	Human development index	float	SEL	0%	54	0.878, 0.84, 0.918, 0.879, 0.839
`health_index`	Health index	float	SEL	0%	55	0.852, 0.826, 0.86, 0.866, 0.836
`education_index`	Education index	float	SEL	0%	62	0.867, 0.818, 0.919, 0.88, 0.81
`income_index`	Income index	float	SEL	0%	67	0.916, 0.877, 0.979, 0.89, 0.872
`life_expectancy`	Life expectancy	float	SEL	0%	77	75.37, 73.71, 75.88, 76.28, 74.37
`mean_years_schooling`	Mean years schooling	float	SEL	0%	76	13.0, 12.27, 13.79, 13.2, 12.15

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	2	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	1	subnational, subnational, subnational, subnational, subnational

USA Local Lodging Tax Rates (291 cities) USA-LOCAL-LODGING-TAX Tax

895 rows · 1 table(s) State Revenue Departments 0 1 2 3 2 SEL 9 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

3 Admin 3 — 1 table(s)

USA Local Lodging Tax Rates (291 cities) — 895 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	100	Coleman, Abilene, Addison, Alamo, Albany
`lodging_tax_rate`	Lodging tax rate	float	SEL	0%	13	7.0, 7.0, 7.0, 7.0, 7.0

Extension Fields (9) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`county_name`	county_name	string	0%	1	, , , ,
`state_abbr`	state_abbr	string	0%	1	TX, TX, TX, TX, TX
`state_fips`	state_fips	float	0%	1	48, 48, 48, 48, 48
`geo_level`	geo_level	string	0%	2	city, city, city, city, city
`tax_type`	tax_type	string	0%	1	lodging, lodging, lodging, lodging, lodging
`reference_year`	reference_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`source`	source	string	0%	6	Texas Comptroller Open Data Portal (FY 2022), Texas...
`source_url`	source_url	string	0%	1	https://data.texas.gov/dataset/Local-Hotel-Occupancy-Tax-...
`license`	license	string	0%	1	Public data (state/local government), Public data...

USA LandScan Global (ORNL) USA-LANDSCAN Modeled Population

401 rows · 3 table(s) LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

USA LandScan - Population Admin0 (admin_0) — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	United States
`admin_code`	Admin code	string	SEL	0%	1	2327393B34831548174820
`area_sqkm`	Area sqkm	float	SEL	0%	1	9366476.9565
`pop_2024`	Population count	integer	SEL	0%	1	344734933
`pop_density_2024`	Population density	float	SEL	0%	1	36.81

1 Admin 1 — 1 table(s)

USA LandScan - Population Admin1 (admin_1) — 56 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA, USA, USA, USA, USA
`admin_level`	Admin level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`admin_name`	Admin name	string	SEL	0%	56	California, Texas, Florida, New York, Pennsylvania
`admin_code`	Admin code	string	SEL	0%	56	66186276B43071933723331, 66186276B29106115751815,...
`area_sqkm`	Area sqkm	float	SEL	0%	56	409869.6623, 687756.1386, 150955.407, 126996.3015, 117341.693
`pop_2024`	Population count	integer	SEL	0%	56	39574757, 31451422, 23379616, 19935014, 13148211
`pop_density_2024`	Population density	float	SEL	0%	56	96.55, 45.73, 154.88, 156.97, 112.05

Locality Locality — 1 table(s)

USA LandScan - Cities (locality) — 344 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA, USA, USA, USA, USA
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	100	New York City, Los Angeles, Miami, Chicago, San Francisco
`admin_code`	Admin code	integer	SEL	0%	100	8099, 2007, 7168, 7532, 1461
`area_sqkm`	Area sqkm	float	SEL	0%	100	3027.9395, 4486.651, 2772.5526, 2044.4782, 1611.1396
`pop_2024`	Population count	integer	SEL	0%	100	14364855, 13003791, 5762340, 5231552, 4765344
`pop_density_2024`	Population density	float	SEL	0%	100	4744.1, 2898.33, 2078.35, 2558.87, 2957.75

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ghs_pop_2025`	ghs_pop_2025	integer	0%	100	14197659, 13474333, 5733042, 5318735, 4718349
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	93	1.012, 0.965, 1.005, 0.984, 1.01

USA FRED MSA Indicators (HPI + Unemployment) USA-FRED-MSA-INDICATORS Indicators

372 rows · 1 table(s) FRED / FHFA / BLS 0 1 2 3 4 SEL 2 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

2 Admin 2 — 1 table(s)

USA FRED MSA Indicators (HPI + Unemployment) — 372 rows, 8 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`cbsa_code`	Admin code	float	SEL	0%	100	10180, 10420, 10500, 10540, 10580
`house_price_index`	House price index	float	SEL	0%	100	369.82, 268.93, 261.28, 428.82, 340.07
`hpi_yoy_change_pct`	House price index yoy percent	float	SEL	0%	94	7.51, 0.84, 2.32, 2.85, 0.43
`msa_unemployment_rate`	Unemployment rate percent	float	SEL	5%	38	3.1, 4.3, 4.0, 3.3, 3.9

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`hpi_date`	hpi_date	string	0%	2	2025-10-01, 2025-10-01, 2025-10-01, 2025-10-01, 2025-10-01
`unemployment_date`	unemployment_date	string	5%	2	2025-12-01, 2025-12-01, 2025-12-01, 2025-12-01, 2025-12-01

USA GHS Urban Centre Database (EU JRC) USA-GHSL_UCDB Modeled Population

344 rows · 1 table(s) GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

Locality Locality — 1 table(s)

USA GHS-UCDB - Cities (locality) — 344 rows, 10 columns

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Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	100	New York City, Los Angeles, Miami, Chicago, San Francisco
`country_code`	Country code	string	SEL	0%	1	USA, USA, USA, USA, USA
`population`	Population count	integer	SEL	0%	100	14197659, 13474333, 5733042, 5318735, 4718349

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	100	8099, 2007, 7168, 7532, 1461
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	United States, United States, United States, United...
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

USA Glottolog Language Catalog USA-GLOTTOLOG Language

323 rows · 1 table(s) Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 3 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

USA Glottolog - Languages — 323 rows, 16 columns

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Field details — 16 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	100	achu1247, adai1235, afro1254, ahte1237, alab1237
`name`	Name	string	CCL	0%	100	Achumawi, Adai, Afro-Seminole Creole, Ahtena, Alabama
`iso639_3`	Iso639 3	string	CCL	11%	89	acv, xad, afs, aht, akz
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	7%	29	pala1350, indo1319, atha1245, musk1252, eski1264
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	7%	72	pala1350, gull1243, sout3337, alab1247, aleu1261
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	11	['US'], ['US'], ['MX', 'US'], ['US'], ['US']
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	8	0, 0, 0, 5, 0

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	7%	91	41.0979, 31.6314, 31.7843, 61.7068, 30.76738
`longitude`	longitude	float	7%	92	-121.191, -92.0059, -99.2934, -144.889, -94.62848
`classification`	classification	string	0%	1	[], [], [], [], []

USA D-PLACE USA-DPLACE Ethnographic Societies

199 rows · 1 table(s) D-PLACE 0 1 2 3 1 SEL 10 CCL 7 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

USA D-PLACE - Dplace Ea Societies — 199 rows, 18 columns

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Field details — 18 fields (type, nulls, unique, samples)

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA, USA, USA, USA, USA
`society_id`	Society id	string	CCL	0%	100	Na10, Na11, Na12, Na2, Na26
`society_name`	Society name	string	CCL	0%	100	Chugach, Sivokakmeit, Nunamiut, Tareumiut, Dena'ina
`language_glottocode`	Language glottocode	string	CCL	0%	78	chug1254, cent2128, nort2944, nort2944, tana1289
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	27	EA001:0; EA002:2; EA003:8; EA004:0; EA005:0, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	68	EA006:6; EA007:8; EA008:NA; EA009:NA; EA010:9, EA006:2;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	28	EA028:1; EA029:1; EA030:7; EA031:NA; EA032:3, EA028:1;...
`political_complexity`	Political complexity	string	CCL	0%	12	EA033:1; EA034:1; EA035:5, EA033:1; EA034:NA; EA035:2,...
`religion_importance`	Religion importance	string	CCL	0%	21	EA034:1; EA112:NA, EA034:NA; EA112:NA, EA034:1; EA112:1,...
`residence_pattern`	Residence pattern	string	CCL	0%	12	EA011:1; EA012:10; EA013:9, EA011:1; EA012:8; EA013:9,...

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	United States of America, United States of America,...
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	38	60.72, 63.34, 68.0, 71.0, 62.0
`longitude`	longitude	float	0%	37	-146.49, -170.3, -152.0, -157.0, -144.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate

USA UNHCR Refugee Data Finder USA-UNHCR Migration

150 rows · 2 table(s) UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

USA UNHCR - Hosted Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

USA UNHCR - Origin Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

USA World Bank Open Data USA-WORLD_BANK Development Indicators

132 rows · 2 table(s) World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

USA World Bank - Development Indicators — 66 rows, 9 columns

Loading data…

Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	US, US, US, US, US
`population_count`	Population count	float	SEL	2%	65	180671000.0, 183691000.0, 186538000.0, 189242000.0, 191889000.0
`life_expectancy`	Life expectancy	float	SEL	3%	59	69.7707317073171, 70.2707317073171, 70.119512195122,...
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	2999.86487154495, 3059.16082086127, 3236.01311150062,...
`literacy_rate_pct`	Literacy rate percent	string	SEL	100%	-	-
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	57	30.1, 29.5, 28.9, 28.3, 27.7
`poverty_headcount_pct`	Poverty headcount percent	string	SEL	100%	-	-

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	United States, United States, United States, United...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

USA World Bank - Health Indicators — 66 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	US, US, US, US, US
`life_expectancy`	Life expectancy	float	SEL	3%	59	69.7707317073171, 70.2707317073171, 70.119512195122,...
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	15%	44	15.9, 15.5, 15.0, 14.4, 13.6
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	57	30.1, 29.5, 28.9, 28.3, 27.7
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	11	11.0, 11.0, 11.0, 12.0, 12.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	3.654, 3.62, 3.461, 3.319, 3.19
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	42	23.7, 23.3, 22.4, 21.7, 21.1
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	30	9.5, 9.3, 9.5, 9.6, 9.4
`physicians_per_1000`	Physicians per 1000	float	SEL	58%	17	1.1, 1.2, 1.2, 1.3, 1.3
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	17%	53	9.19999980926514, 8.80000019073486, 7.90000009536743,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	9	96.0, 96.0, 96.0, 97.0, 97.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	12.49002075, 13.16817093, 13.99535275, 14.50557518, 14.55123138

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	United States, United States, United States, United...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

USA Google Community Mobility (2020-2022) USA-GOOGLE-MOBILITY Mobility

51 rows · 1 table(s) Google 0 1 2 3 4 SEL 7 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

USA Mobility by Region — 51 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	US, US, US, US, US
`region`	Admin name	string	SEL	0%	51	Alabama, Alaska, Arizona, Arkansas, California
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	USA, USA, USA, USA, USA

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	48	-1.78, 6.4, -7.27, 0.05, -13.4
`grocery`	grocery	float	0%	50	3.25, 4.54, -0.86, 1.85, -2.46
`parks`	parks	float	0%	51	2.84, 14.52, -1.87, 4.97, 6.92
`transit`	transit	float	0%	51	-0.16, -0.3, 0.21, 1.0, -20.22
`workplaces`	workplaces	float	0%	49	-16.47, -18.24, -21.94, -16.47, -25.47
`residential`	residential	float	0%	47	2.76, 2.62, 4.89, 1.71, 6.04
`observation_count`	observation_count	integer	0%	51	62030, 9795, 15276, 60897, 54558

USA State Regulatory Status (Cannabis/Casino/Sports Betting) USA-REGULATORY-STATUS Regulatory

51 rows · 1 table(s) NCSL / AGA / State Statutes 0 1 2 3 2 SEL 4 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

USA State Regulatory Status (Cannabis/Casino/Sports Betting) — 51 rows, 6 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`state_fips`	Admin code	float	SEL	0%	51	01, 02, 04, 05, 06
`state_abbr`	Admin name	string	SEL	0%	51	AL, AK, AZ, AR, CA

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`cannabis_status`	cannabis_status	string	0%	4	medical_limited, recreational, recreational, medical,...
`casino_status`	casino_status	string	0%	3	prohibited, prohibited, tribal_only, commercial, tribal_only
`sports_betting_status`	sports_betting_status	string	0%	4	prohibited, prohibited, legal, legal, prohibited
`source`	source	string	0%	1	NCSL / AGA / state statutes (curated 2026-Q1), NCSL /...

USA State Tax Rates (Tax Foundation) USA-TAX-FOUNDATION Tax

51 rows · 1 table(s) Tax Foundation 0 1 2 3 2 SEL 18 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

USA State Tax Rates (Tax Foundation) — 51 rows, 20 columns

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Field details — 20 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`state_abbr`	Admin name	string	SEL	0%	51	AL, AK, AZ, AR, CA
`state_fips`	Admin code	float	SEL	0%	51	01, 02, 04, 05, 06

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`income_tax_top_rate`	income_tax_top_rate	float	0%	38	5.0, 0.0, 2.5, 3.9, 13.3
`income_tax_brackets`	income_tax_brackets	integer	0%	12	3, 0, 1, 3, 10
`income_tax_type`	income_tax_type	string	0%	3	graduated, none, flat, graduated, graduated
`corporate_tax_top_rate`	corporate_tax_top_rate	float	0%	35	6.5, 9.4, 2.5, 4.3, 8.84
`corporate_tax_type`	corporate_tax_type	string	0%	3	flat, graduated, flat, graduated, flat
`state_sales_tax_rate`	state_sales_tax_rate	float	0%	24	4.0, 0.0, 5.6, 6.5, 7.25
`avg_local_sales_tax_rate`	avg_local_sales_tax_rate	float	0%	37	5.27, 1.82, 2.8, 2.97, 1.6
`combined_sales_tax_rate`	combined_sales_tax_rate	float	0%	42	9.27, 1.82, 8.4, 9.47, 8.85
`effective_property_tax_rate`	effective_property_tax_rate	float	0%	42	0.37, 1.07, 0.51, 0.57, 0.68
`median_property_tax_paid`	median_property_tax_paid	integer	0%	51	658, 3464, 1707, 878, 4279
`state_lodging_tax_rate`	state_lodging_tax_rate	float	0%	26	4.0, 0.0, 5.5, 2.0, 0.0
`max_local_lodging_tax_rate`	max_local_lodging_tax_rate	float	0%	19	7.0, 12.0, 6.0, 4.0, 15.0
`cannabis_excise_tax_rate`	cannabis_excise_tax_rate	float	51%	14	0.0, 16.0, 15.0, 15.0, 0.0
`cannabis_tax_type`	cannabis_tax_type	string	51%	4	weight_based, excise_pct, excise_pct, excise_pct, potency_based
`reference_year`	reference_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`source`	source	string	0%	1	Tax Foundation (Facts & Figures 2025), Tax Foundation...
`source_url`	source_url	string	0%	1	https://taxfoundation.org/data/all/state/,...
`license`	license	string	0%	1	Tax Foundation publications (cite source), Tax...

USA OpenFactBook USA-OPENFACTBOOK Country Profile

16 rows · 16 table(s) OpenFactBook 0 1 2 3 97 SEL 5 CCL 633 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 16 table(s)

USA OpenFactBook - Communications — 1 rows, 22 columns

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Field details — 22 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	26.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	113.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.us
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	93.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	38.0
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (14) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	87.987 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	87.987
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	26 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	391 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	391.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	113 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	4 major terrestrial TV networks with affiliate stations,...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	4.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	93% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	131 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	131.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	38 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - Economy — 1 rows, 144 columns

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Field details — 144 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`real_gdp_per_capita_real_gdp_per_capita_2024_numeric`	Real gdp per capita 2024 (numeric)	float	SEL	0%	1	75500.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	29.185
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (139) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	world’s largest economy by nominal GDP; largest importer...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$25.676 trillion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	25.676
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$24.977 trillion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	24.977
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$24.276 trillion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	24.276
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	0%	1	2.8% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	2.8
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	2.9% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	2.9
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	2.5% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	2.5
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2024_text`	Real gdp per capita 2024 (text)	string	0%	1	$75,500 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$74,200 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	74200.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$72,700 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	72700.0
`real_gdp_per_capita_note`	real_gdp_per_capita_note	string	0%	1	note: data in 2021 dollars
`gdp_official_exchange_rate_text`	gdp_official_exchange_rate_text	string	0%	1	$29.185 trillion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	2.9% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	2.9
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	4.1% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	4.1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	8% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	8.0
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
`gdp_composition_by_sector_of_origin_agriculture_text`	gdp_composition_by_sector_of_origin_agriculture_text	string	0%	1	0.9% (2024 est.)
+109 more extension fields — download the CSV/Parquet to see them all.

USA OpenFactBook - Energy — 1 rows, 67 columns

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Field details — 67 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	100.0
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (63) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	100% (2022 est.)
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	1.235 billion kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	1.235
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	4.085 trillion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	4.085
`electricity_exports_text`	electricity_exports_text	string	0%	1	19.87 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	19.87
`electricity_imports_text`	electricity_imports_text	string	0%	1	38.874 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	38.874
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	191.104 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	191.104
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	58.9% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	58.9
`electricity_generation_sources_nuclear_text`	electricity_generation_sources_nuclear_text	string	0%	1	18.2% of total installed capacity (2023 est.)
`electricity_generation_sources_nuclear_numeric`	electricity_generation_sources_nuclear_numeric	float	0%	1	18.2
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	5.6% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	5.6
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	9.9% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	9.9
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	5.6% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	5.6
`electricity_generation_sources_geothermal_text`	electricity_generation_sources_geothermal_text	string	0%	1	0.4% of total installed capacity (2023 est.)
`electricity_generation_sources_geothermal_numeric`	electricity_generation_sources_geothermal_numeric	float	0%	1	0.4
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	1.3% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	1.3
`nuclear_energy_number_of_operational_nuclear_reactors_text`	nuclear_energy_number_of_operational_nuclear_reactors_text	string	0%	1	94 (2025)
`nuclear_energy_number_of_operational_nuclear_reactors_numeric`	nuclear_energy_number_of_operational_nuclear_reactors_numeric	float	0%	1	94.0
`nuclear_energy_net_capacity_of_operational_nuclear_reactors_text`	nuclear_energy_net_capacity_of_operational_nuclear_reactors_text	string	0%	1	96.95GW (2025 est.)
`nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric`	nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric	float	0%	1	96.95
`nuclear_energy_percent_of_total_electricity_production_text`	nuclear_energy_percent_of_total_electricity_production_text	string	0%	1	18.5% (2023 est.)
+33 more extension fields — download the CSV/Parquet to see them all.

USA OpenFactBook - Environment — 1 rows, 56 columns

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Field details — 56 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	46.1
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	33.8
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	83.3
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.96
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	265.225
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (48) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	air pollution; water pollution from runoff of pesticides...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Air Pollution, Air Pollution-Heavy Metals, Air...
`international_environmental_agreements_party_to_numeric`	international_environmental_agreements_party_to_numeric	float	0%	1	2006.0
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	Air Pollution-Persistent Organic Pollutants, Air...
`climate_text`	climate_text	string	0%	1	mostly temperate, but tropical in Hawaii and Florida,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	46.1% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 16.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	16.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.3% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.3
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 29.2% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	29.2
`land_use_forest_text`	land_use_forest_text	string	0%	1	33.8% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	18.7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	18.7
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	83.3% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.96% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	4.795 billion metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	4.795
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	777.302 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	777.302
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	2.258 billion metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric	float	0%	1	2.258
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	1.76 billion metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_consumed_natural_gas_numeric`	carbon_dioxide_emissions_from_consumed_natural_gas_numeric	float	0%	1	1.76
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	7.4 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	7.4
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	20,500.6 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	20500.6
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	9,063.9 kt (2019-2021 est.)
+18 more extension fields — download the CSV/Parquet to see them all.

USA OpenFactBook - Ethnic Groups — 1 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	American(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	American
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	White 61.6%, Black or African American 12.4%, Asian 6%,...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	61.6
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - Geography — 1 rows, 72 columns

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Field details — 72 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	9833517.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	9147593.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	685924.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	12002.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	19924.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	6190.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	-86.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	46.1
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	33.8
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	234782.0
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (59) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	North America, bordering both the North Atlantic Ocean...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	38 00 N, 97 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	38.0
`map_references_text`	map_references_text	string	0%	1	North America
`area_total_text`	area_total_text	string	0%	1	9,833,517 sq km
`area_land_text`	area_land_text	string	0%	1	9,147,593 sq km
`area_water_text`	area_water_text	string	0%	1	685,924 sq km
`area_note`	area_note	string	0%	1	note: includes only the 50 states and District of...
`area_comparative_text`	area_comparative_text	string	0%	1	about half the size of Russia; about three-tenths the...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	12,002 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Canada 8,891 km (including 2,475 km with Alaska); Mexico 3,111 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	8891.0
`land_boundaries_note`	land_boundaries_note	string	0%	1	note: US Naval Base at Guantanamo Bay, Cuba is leased by...
`coastline_text`	coastline_text	string	0%	1	19,924 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_contiguous_zone_text`	maritime_claims_contiguous_zone_text	string	0%	1	24 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1	24.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	not specified
`climate_text`	climate_text	string	0%	1	mostly temperate, but tropical in Hawaii and Florida,...
`terrain_text`	terrain_text	string	0%	1	vast central plain, mountains in west, hills and low...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Mount McKinley 6,190 m (highest point in North America)
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Death Valley (lowest point in North America) -86 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	760 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	760.0
`elevation_note`	elevation_note	string	0%	1	note 1: Mount McKinley is one of the most striking...
`natural_resources_text`	natural_resources_text	string	0%	1	coal, copper, lead, molybdenum, phosphates, rare earth...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	46.1% (2023 est.)
+29 more extension fields — download the CSV/Parquet to see them all.

USA OpenFactBook - Government — 1 rows, 111 columns

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Field details — 111 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (109) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	United States of America
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	United States
`country_name_abbreviation_text`	country_name_abbreviation_text	string	0%	1	US or USA
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name America was first used in 1507 and is derived...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	1507.0
`government_type_text`	government_type_text	string	0%	1	constitutional federal republic
`capital_name_text`	capital_name_text	string	0%	1	Washington, D.C.
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	38 53 N, 77 02 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	38.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC-5 (during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	-5.0
`capital_daylight_saving_time_text`	capital_daylight_saving_time_text	string	0%	1	+1hr, begins second Sunday in March; ends first Sunday...
`capital_daylight_saving_time_numeric`	capital_daylight_saving_time_numeric	float	0%	1	1.0
`capital_time_zone_note_text`	capital_time_zone_note_text	string	0%	1	the 50 United States cover six time zones
`capital_time_zone_note_numeric`	capital_time_zone_note_numeric	float	0%	1	50.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	named after George WASHINGTON (1732-1799), the first...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	1732.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	50 states and 1 district*; Alabama, Alaska, Arizona,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	50.0
`dependent_areas_text`	dependent_areas_text	string	0%	1	American Samoa, Baker Island, Guam, Howland Island,...
`dependent_areas_numeric`	dependent_areas_numeric	float	0%	1	14.0
`legal_system_text`	legal_system_text	string	0%	1	common law system based on English common law at the...
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1781 (Articles of Confederation and Perpetual...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1781.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed as a "joint resolution" by Congress, which...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	withdrew acceptance of compulsory ICJ jurisdiction in...
`international_law_organization_participation_numeric`	international_law_organization_participation_numeric	float	0%	1	2005.0
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	yes
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	yes
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	no, but the US government acknowledges such situtations...
+79 more extension fields — download the CSV/Parquet to see them all.

USA OpenFactBook - Introduction — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`background_text`	background_text	string	0%	1	Thirteen of Britain's American colonies broke with the...
`background_numeric`	background_numeric	float	0%	1	1776.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - Languages — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`languages_text`	languages_text	string	0%	1	English only (official) 78.2%, Spanish 13.4%, Chinese...
`languages_numeric`	languages_numeric	float	0%	1	78.2
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - Migration — 1 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	3,619,495 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	3619495.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	21,737 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	21737.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - Military And Security — 1 rows, 27 columns

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Field details — 27 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (24) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	United States Armed Forces (aka US Military): US Army...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2025_text`	Military expenditures 2025 (text)	string	0%	1	3.2% of GDP (2025 est.)
`military_expenditures_military_expenditures_2025_numeric`	Military expenditures 2025 (numeric)	float	0%	1	3.2
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	3.2% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	3.2
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	3.1% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	3.1
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	3.2% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	3.2
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	3.5% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	3.5
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 1.28 million active duty Armed Forces...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	1.28
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the US military's inventory is comprised almost entirely...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	2025.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	17 years of age (under 18 with parental consent) for...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	17.0
`military_deployments_text`	military_deployments_text	string	0%	1	the US has approximately 200,000 military personnel...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	200000.0
`military_note_text`	military_note_text	string	0%	1	the US military's primary missions are to deter...
`military_note_numeric`	military_note_numeric	float	0%	1	1949.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - People And Society — 1 rows, 140 columns

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Field details — 140 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	338016259.0
`population_male_numeric`	Population male	float	SEL	0%	1	167543554.0
`population_female_numeric`	Population female	float	SEL	0%	1	170472705.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	18.1
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	63.4
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	18.5
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	56.0
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	26.8
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	29.2
`median_age_total_numeric`	Median age	float	SEL	0%	1	39.5
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.45
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	10.75
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	8.76
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	2.54
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	83.3
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.96
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.97
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	17.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	5.0
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	80.9
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.63
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.02
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	3.68
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	2.7
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (112) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	338,016,259 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	167,543,554
`population_female_text`	population_female_text	string	0%	1	170,472,705
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	18.1% (male 31,618,532/female 30,254,223)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	63.4% (male 108,553,822/female 108,182,491)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	18.5% (2024 est.) (male 28,426,426/female 34,927,914)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	56 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	26.8 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	29.2 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	3.4 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	3.4
`median_age_total_text`	median_age_total_text	string	0%	1	39.5 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	37.8 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	37.8
`median_age_female_text`	median_age_female_text	string	0%	1	40 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	40.0
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.45% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	10.75 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	8.76 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	2.54 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	large urban clusters are spread throughout the eastern...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	83.3% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.96% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	18.937 million New York-Newark, 12.534 million Los...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	18.937
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.05
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.0
+82 more extension fields — download the CSV/Parquet to see them all.

USA OpenFactBook - Religions — 1 rows, 28 columns

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Field details — 28 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	0.9
`composition_religion_buddhist_pct_synth`	Buddhist	numeric	CCL	0%	-	0.7
`composition_religion_hindu_pct_synth`	Hindu	numeric	CCL	0%	-	0.7
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	1.8
`composition_ethnicity_primary_label_synth`	White	string	CCL	0%	-	White

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`religions_text`	religions_text	string	0%	1	Protestant 46.5%, Roman Catholic 20.8%, Jewish 1.9%,...
`religions_numeric`	religions_numeric	float	0%	1	46.5
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

Pending (16) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	46.5
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	20.8
`composition_religion_jewish_pct_synth`	Jewish	numeric	0%	-	1.9
`composition_religion_church_of_jesus_christ_pct_synth`	Church of Jesus Christ	numeric	0%	-	1.6
`composition_religion_other_christian_pct_synth`	other Christian	numeric	0%	-	0.9
`composition_religion_jehovah_s_witness_pct_synth`	Jehovah's Witness	numeric	0%	-	0.8
`composition_religion_unaffiliated_pct_synth`	unaffiliated	numeric	0%	-	22.8
`composition_religion_don_t_know_refused_pct_synth`	don't know/refused	numeric	0%	-	0.6
`composition_ethnicity_white_pct_synth`	White	numeric	0%	-	61.6
`composition_ethnicity_black_or_african_american_pct_synth`	Black or African American	numeric	0%	-	12.4
`composition_ethnicity_asian_pct_synth`	Asian	numeric	0%	-	6.0
`composition_ethnicity_indigenous_and_alaska_native_pct_synth`	Indigenous and Alaska native	numeric	0%	-	1.1
`composition_ethnicity_native_hawaiian_and_other_pacific_islander_pct_synth`	Native Hawaiian and Other Pacific Islander	numeric	0%	-	0.2
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	8.4
`composition_ethnicity_two_or_more_races_pct_synth`	two or more races	numeric	0%	-	10.2
`composition_ethnicity_primary_share_pct_synth`	White	numeric	0%	-	61.6

USA OpenFactBook - Space — 1 rows, 13 columns

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Field details — 13 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`space_agency_agencies_text`	space_agency_agencies_text	string	0%	1	National Aeronautics and Space Administration (NASA;...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	1958.0
`space_launch_site_s_text`	space_launch_site_s_text	string	0%	1	has 20 government and commercial spaceports licensed by...
`space_launch_site_s_numeric`	space_launch_site_s_numeric	float	0%	1	20.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	has a large, comprehensive space program and is one of...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2026.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	1958-1963 - Project Mercury first manned space...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1958.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - Terrorism — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1	al-Qa'ida; Hizballah; Islamic Revolutionary Guard Corps...
`terrorist_group_s_numeric`	terrorist_group_s_numeric	float	0%	1	-13.0
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA OpenFactBook - Transportation — 1 rows, 32 columns

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Field details — 32 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	N
`airports_numeric`	Airports count	float	SEL	0%	1	16116.0
`country_code`	Country code	string	SEL	0%	1	USA
`country_name`	Country name	string	SEL	0%	1	United States
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (27) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	16,116 (2025)
`heliports_text`	heliports_text	string	0%	1	8,130 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	8130.0
`railways_total_text`	railways_total_text	string	0%	1	293,564.2 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	293564.2
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	293,564.2 km (2014) 1.435-m gauge
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	293564.2
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	3,533 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	3533.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 4, container ship 60, general cargo 96, oil...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	4.0
`merchant_marine_note`	merchant_marine_note	string	0%	1	note - oceangoing self-propelled, cargo-carrying vessels...
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	666 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	666.0
`ports_large_text`	ports_large_text	float	0%	1	21
`ports_large_numeric`	ports_large_numeric	float	0%	1	21.0
`ports_medium_text`	ports_medium_text	float	0%	1	38
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	38.0
`ports_small_text`	ports_small_text	float	0%	1	132
`ports_small_numeric`	ports_small_numeric	float	0%	1	132.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	475
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	475.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	204
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	204.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Baltimore, Boston, Brooklyn, Buffalo, Chester,...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	north-america/us.json

USA Ethnic Power Relations Dataset USA-EPR Political Ethnicity

6 rows · 1 table(s) Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 2 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

USA EPR - Groups — 6 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA, USA, USA, USA, USA
`ethnic_group_name`	Ethnic group name	string	CCL	0%	6	Whites, Latinos, African Americans, Asian Americans,...
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	DOMINANT, POWERLESS, POWERLESS, POWERLESS, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	6	0.6, 0.185, 0.134, 0.059, 0.013
`ethnic_group_id`	Ethnic group id	float	CCL	0%	6	201000, 202000, 203000, 204000, 205000
`regional_autonomy`	Regional autonomy	string	CCL	0%	2	false, false, false, false, true

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	1	2021, 2021, 2021, 2021, 2021
`group_relevance`	group_relevance	string	0%	1	, , , ,

USA Global Organized Crime Index USA-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

USA Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 35 fields (type, nulls, unique, samples)

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	0%	1	-
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_criminality`	oc_criminality	numeric	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	0%	1	-
`oc_economic_regulatory_capacity`	oc_economic_regulatory_capacity	numeric	0%	1	-
`oc_extortion_and_protection_racketeering`	oc_extortion_and_protection_racketeering	numeric	0%	1	-
`oc_fauna_crimes`	oc_fauna_crimes	numeric	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	0%	1	-
`oc_flora_crimes`	oc_flora_crimes	numeric	0%	1	-
`oc_foreign_actors`	oc_foreign_actors	numeric	0%	1	-
`oc_government_transparency_and_accountability`	oc_government_transparency_and_accountability	numeric	0%	1	-
`oc_heroin_trade`	oc_heroin_trade	numeric	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	0%	1	-
`oc_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	numeric	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	0%	1	-
`oc_mafia_style_groups`	oc_mafia_style_groups	numeric	0%	1	-
`oc_national_policies_and_laws`	oc_national_policies_and_laws	numeric	0%	1	-
`oc_non_renewable_resource_crimes`	oc_non_renewable_resource_crimes	numeric	0%	1	-
`oc_non_state_actors`	oc_non_state_actors	numeric	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
+5 more extension fields — download the CSV/Parquet to see them all.

USA World Values Survey USA-WVS Attitudes Values

1 rows · 1 table(s) World Values Survey 0 1 2 3 1 SEL 25 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

USA WVS - Country Aggregates — 1 rows, 26 columns

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Field details — 26 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	USA

Extension Fields (25) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`wave`	wave	integer	0%	1	7
`wave_years`	wave_years	string	0%	1	2017-2022
`source`	source	string	0%	1	World Values Survey
`importance_religion`	importance_religion	integer	0%	1	1
`importance_family`	importance_family	integer	0%	1	1
`importance_friends`	importance_friends	integer	0%	1	1
`trust_people`	trust_people	integer	0%	1	1
`trust_family`	trust_family	integer	0%	1	1
`life_satisfaction`	life_satisfaction	integer	0%	1	1
`happiness`	happiness	integer	0%	1	1
`freedom_choice`	freedom_choice	integer	0%	1	1
`gender_jobs_scarce`	gender_jobs_scarce	integer	0%	1	1
`gender_political_leaders`	gender_political_leaders	integer	0%	1	1
`gender_university`	gender_university	integer	0%	1	1
`justifiable_divorce`	justifiable_divorce	integer	0%	1	1
`justifiable_homosexuality`	justifiable_homosexuality	integer	0%	1	1
`immigration_policy`	immigration_policy	integer	0%	1	1
`immigrants_jobs`	immigrants_jobs	integer	0%	1	1
`immigrants_culture`	immigrants_culture	integer	0%	1	1
`confidence_government`	confidence_government	integer	0%	1	1
`confidence_parliament`	confidence_parliament	integer	0%	1	1
`confidence_police`	confidence_police	integer	0%	1	1
`confidence_courts`	confidence_courts	integer	0%	1	1
`confidence_press`	confidence_press	integer	0%	1	1
`democracy_importance`	democracy_importance	integer	0%	1	1

HERA · Human Entity Reference Atlas by Masego Inc

United States

Build a download

Source	Type	Access
U.S. Census Bureau	official_api	api
US Federal (BEA · BLS · Census · USDA · FEMA · FBI · FRED · HUD)	official_government	api
NCES CCD/F-33/EdFacts (National Center for Education Statistics)	official_government	bulk_download
FRED / FHFA / BLS (Federal Reserve Economic Data / Federal Housing Finance Agency / Bureau of Labor Statistics)	official_government	api
State Revenue Departments	official_government	bulk_download
Tax Foundation	think_tank	bulk_download
LegiScan	commercial	api
NCSL / AGA / State Statutes	reference_database	bulk_download
MIT Election Lab / tonmcg	academic	bulk_download
Glottolog Language Catalog	academic	bulk_download
Google	commercial	bulk_download
Global Data Lab	academic	api
World Values Survey	academic	metadata_catalog
Ethnic Power Relations Dataset	academic	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
World Bank Open Data	international_organization	api
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download