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Database Table Heads

Generated: 2026-06-09 15:01:04 PDT

Source order: docs/database-tables.md.

Each section shows up to 10 rows from the corresponding public table. Geometry/geography columns are summarized as WKT points or geometry type, SRID, point count, and bounding box. Long scalar values are truncated to 120 characters.

Rows are ordered by primary key where a primary key exists; otherwise the sample uses the database scan order.

To keep this shareable in Markdown, wide tables show up to 12 representative columns rather than every column.

01. `master_data_centers`

Estimated rows: 1,833. Columns: 30. Ordering: master_id.

Showing 12 of 30 columns. Omitted columns include: curated_id, osm_id, street_address, postal_code, website, phone, nearest_airport_miles, has_bare_metal, has_iaas, has_internet_exchange, has_colocation, certifications, content_summary, osm_tags, matched_osm_tag_passes, match_method, match_distance_m, geom.

master_id	name	operator	city	state	country	latitude	longitude	area_sqft	source	geoid
curated/0002744301	Verizon			NJ	United States	40.54425557630532	-74.49652096447575	105786	merged	34023000702
curated/0007805491	Discover Financial Services New Albany			OH	United States	40.10065711344692	-82.81435808641204	188209	curated	39049007205
curated/0009474864	Google Data Center	Google		NC	United States	35.89473769568108	-81.54651452543965	3407194	merged	37027030300
curated/0013924557	Project Alluvion	Microsoft		IA	United States	41.51595464169968	-93.71171866418732	10962475	curated	19153011028
curated/0014271367e0e039e1b1b386315f6581	Newton (Atlanta) Data Center	Meta, Inc.	Social Circle	GA	United States	33.6563867	-83.7186389	970000	curated	13297110801
curated/0014593270	Apple - Maiden Data Center			NC	United States	35.588771360781784	-81.26180877040836	5431080	merged	37035011702
curated/0014930068	HPC (880)	Sandia National Laboratories		NM	United States	35.04994198074901	-106.54282203991325	158463	merged	35001980000
curated/0014997588	Meta Henrico Data Center	Meta		VA	United States	37.482763284885785	-77.23645509442149	4671056	merged	51087201404
curated/0015884451	Barclays Datacenter	Barclays		NJ	United States	40.64375303338713	-74.28548116880219	94373	merged	34039037300
curated/0016282459	CyberNAP Glen Burnie	AiNET		MD	United States	39.14024170717735	-76.60643112453295	89879	merged	24003730404

02. `us_dc_sample_geocoded`

Estimated rows: 1,489. Columns: 40. Ordering: id.

Showing 12 of 40 columns. Omitted columns include: url, provider_url, state, postal_code, street_address, address, source_address, phone, nearest_airport_miles, has_bare_metal, has_iaas, has_internet_exchange, has_colocation, certifications, content_summary, path, geocode_precision, geocode_status, geocode_match_address, census_status....

id	facility_name	provider	city	state_code	country	latitude	longitude	area_sqft	geocode_source	geoid
0002744301	Verizon			NJ	United States	40.54425557630532	-74.49652096447575	105786	IM3_Existing_DataCenters	34023000702
0007805491	Discover Financial Services New Albany			OH	United States	40.10065711344692	-82.81435808641204	188209	IM3_Existing_DataCenters	39049007205
0009474864	Google Data Center	Google		NC	United States	35.89473769568108	-81.54651452543965	3407194	IM3_Existing_DataCenters	37027030300
0013924557	Project Alluvion	Microsoft		IA	United States	41.51595464169968	-93.71171866418732	10962475	IM3_Existing_DataCenters	19153011028
0014271367e0e039e1b1b386315f6581	Newton (Atlanta) Data Center	Meta, Inc.	Social Circle	GA	United States	33.6563867	-83.7186389	970000	Nominatim/OpenStreetMap	13297110801
0014593270	Apple - Maiden Data Center			NC	United States	35.588771360781784	-81.26180877040836	5431080	IM3_Existing_DataCenters	37035011702
0014930068	HPC (880)	Sandia National Laboratories		NM	United States	35.04994198074901	-106.54282203991325	158463	IM3_Existing_DataCenters	35001980000
0014997588	Meta Henrico Data Center	Meta		VA	United States	37.482763284885785	-77.23645509442149	4671056	IM3_Existing_DataCenters	51087201404
0015884451	Barclays Datacenter	Barclays		NJ	United States	40.64375303338713	-74.28548116880219	94373	IM3_Existing_DataCenters	34039037300
0016282459	CyberNAP Glen Burnie	AiNET		MD	United States	39.14024170717735	-76.60643112453295	89879	IM3_Existing_DataCenters	24003730404

03. `osm_data_centers`

Estimated rows: 1,549. Columns: 22. Ordering: id.

Showing 12 of 22 columns. Omitted columns include: building, power, website, phone, street_address, postal_code, matched_tags, tags, ingested_at, geom.

id	name	state	city	country	latitude	longitude	osm_type	osm_id	operator	telecom
node/10014176940	Microsoft	PR	Guaynabo	US	18.4174359	-66.1089895	node	10014176940	Microsoft	data_center
node/10537283366	Netrality	IL	Chicago	US	41.8728811	-87.63344	node	10537283366	Netrality	data_center
node/10567817971	Brandaleone Lab for Data and Visualization			US	36.0030993	-78.9385323	node	10567817971	Duke Libraries	data_center
node/10648552506	Frontier (supercomputer)			US	35.9295133	-84.310567	node	10648552506	Oak Ridge National Laboratory	data_center
node/10780794741		CA		US	37.7796531	-122.3940005	node	10780794741	Ntirety	data_center
node/10796113031	VaultLogix			US	33.627367	-111.9017033	node	10796113031		data_center
node/10796113033	Profit Finder Pro Software			US	33.6272477	-111.9020476	node	10796113033		data_center
node/10798644674	DataPro USA Web Development			US	33.6116624	-111.9139825	node	10798644674		data_center
node/10880725408	e360	CA	Concord	US	37.9710809	-122.0437382	node	10880725408		data_center
node/10910879064	Digital Realty ORD10	IL	Chicago	US	41.8533507	-87.6183067	node	10910879064	Digital Realty	data_center

04. `master_data_center_spatial_clusters`

Estimated rows: 1,831. Columns: 7. Ordering: master_id.

master_id	cluster_id	is_noise	eps_km	min_samples	nearest_neighbor_km	created_at
curated/0002744301	0	False	25.0	5	0.1190382274	2026-05-18T01:28:48.419905+00:00
curated/0007805491	1	False	25.0	5	0.47724190925	2026-05-18T01:28:48.419905+00:00
curated/0009474864	-1	True	25.0	5	42.317040942599995	2026-05-18T01:28:48.419905+00:00
curated/0013924557	2	False	25.0	5	0.45248975842	2026-05-18T01:28:48.419905+00:00
curated/0014271367e0e039e1b1b386315f6581	3	False	25.0	5	0.0	2026-05-18T01:28:48.419905+00:00
curated/0014593270	-1	True	25.0	5	0.10640567666	2026-05-18T01:28:48.419905+00:00
curated/0014930068	4	False	25.0	5	0.18635215588	2026-05-18T01:28:48.419905+00:00
curated/0014997588	5	False	25.0	5	0.14982899651	2026-05-18T01:28:48.419905+00:00
curated/0015884451	0	False	25.0	5	7.49269729219	2026-05-18T01:28:48.419905+00:00
curated/0016282459	14	False	25.0	5	10.471788240899999	2026-05-18T01:28:48.419905+00:00

05. `data_center_census_tracts_2024`

Estimated rows: 715. Columns: 58. Ordering: geoid.

Showing 12 of 58 columns. Omitted columns include: countyfp, tractce, tract_name, namelsad, land_area_sqm, water_area_sqm, acs_year, acs_source, curated_only_data_center_count, merged_data_center_count, osm_only_data_center_count, data_center_ids, households, avg_household_size, high_school_or_higher_pct, population_16_over, labor_force, unemployed, unemployment_rate, per_capita_income....

geoid	acs_name	data_center_count	operators	population	median_age	median_household_income	poverty_rate	bachelor_or_higher_pct	broadband_subscription_pct	primary_industry	statefp
01069040205	Census Tract 402.05; Houston County; Alabama	1	["AngelTrax Mobile Video Surveillance Solutions"]	5802	46.0	91023	2.3	49.6	92.6	Educational services, and health care and social assistance	01
01071950200	Census Tract 9502; Jackson County; Alabama	3	["Google", "Google LLC"]	3443	44.8	46148	21.3	12.4	93.0	Manufacturing	01
01073012913	Census Tract 129.13; Jefferson County; Alabama	1	["AT&T"]	4841	26.9	65201	7.6	40.4	96.2	Educational services, and health care and social assistance	01
01073014303	Census Tract 143.03; Jefferson County; Alabama	1		5917	37.1	147377	9.0	71.7	98.3	Educational services, and health care and social assistance	01
01089001403	Census Tract 14.03; Madison County; Alabama	2	["Alabama Supercomputer Authority"]	3059	27.6	68158	24.7	57.5	99.4	Manufacturing	01
01089010704	Census Tract 107.04; Madison County; Alabama	4	["Meta"]	6752	44.1	86266	4.7	43.9	94.1	Educational services, and health care and social assistance	01
04003000301	Census Tract 3.01; Cochise County; Arizona	1	["DirecTV"]	4125	52.6	44412	14.5	21.8	88.9	Transportation and warehousing, and utilities	04
04013061024	Census Tract 610.24; Maricopa County; Arizona	1	["Microsoft Azure"]	2741	34.3	106458	8.3	22.9	92.8	Educational services, and health care and social assistance	04
04013061052	Census Tract 610.52; Maricopa County; Arizona	1		8803	31.3	89191	3.4	34.2	97.0	Educational services, and health care and social assistance	04
04013061058	Census Tract 610.58; Maricopa County; Arizona	3	["Microsoft"]	3990	31.6	100017	6.9	34.9	99.7	Educational services, and health care and social assistance	04

06. `data_center_watershed_huc8`

Estimated rows: 1,833. Columns: 5. Ordering: master_id.

master_id	huc8	huc8_name	huc8_states	huc8_area_sqkm
curated/0002744301	02030105	Raritan	NJ	2863.0
curated/0007805491	05060001	Upper Scioto	OH	8277.11
curated/0009474864	03050101	Upper Catawba	NC,SC	6106.21
curated/0013924557	07100006	North Raccoon	IA	6399.54
curated/0014271367e0e039e1b1b386315f6581	03070103	Upper Ocmulgee	GA	7700.64
curated/0014593270	03050102	South Fork Catawba	NC,SC	1711.71
curated/0014930068	13020203	Rio Grande-Albuquerque	NM	8328.17
curated/0014997588	02080206	Lower James	VA	3733.47
curated/0015884451	02030104	Sandy Hook-Staten Island	NJ,NY	1838.33
curated/0016282459	02060003	Gunpowder-Patapsco	MD,PA	3671.32

07. `data_center_nri_exposure`

Estimated rows: 1,833. Columns: 479. Ordering: master_id.

Showing 12 of 479 columns. Omitted columns include: source, operator, city, country, longitude, latitude, geom, nri_status, STATE, STATEABBRV, STATEFIPS, COUNTY, COUNTYTYPE, COUNTYFIPS, STCOFIPS, TRACT, TRACTFIPS, POPULATION, BUILDVALUE, AGRIVALUE....

master_id	name	dc_state	NRI_ID	RISK_SCORE	RISK_RATNG	SOVI_SCORE	SOVI_RATNG	RESL_SCORE	RESL_RATNG	WFIR_RISKS	HWAV_RISKS
curated/0002744301	Verizon	NJ	T34023000702	82.4432473571	Relatively Moderate	53.24764556	Relatively Moderate	35.6782371757	Relatively Low	69.5123256395	62.2586872587
curated/0007805491	Discover Financial Services New Albany	OH	T39049007205	52.0185984565	Relatively Low	43.2346147	Relatively Moderate	53.7637720649	Relatively Moderate	35.2776093135	83.2916249583
curated/0009474864	Google Data Center	NC	T37027030300	60.7422734354	Relatively Moderate	65.16081265	Relatively High	24.7162658453	Relatively Low	64.5345034664	16.7465084132
curated/0013924557	Project Alluvion	IA	T19153011028	59.0774499661	Relatively Moderate	17.71130723	Very Low	85.866603483	Very High	73.4853079329	76.5706182373
curated/0014271367e0e039e1b1b386315f6581	Newton (Atlanta) Data Center	GA	T13297110801	26.9201954978	Relatively Low	53.52484748	Relatively Moderate	35.3453382301	Relatively Low	78.9768470622	45.1070117737
curated/0014593270	Apple - Maiden Data Center	NC	T37035011702	67.9117167897	Relatively Moderate	30.98086833	Relatively Low	40.2807724203	Relatively Moderate	76.2334558168	31.0882310882
curated/0014930068	HPC (880)	NM	T35001980000	24.5383087772	Relatively Low	9.209856068	Very Low	31.8078426727	Relatively Low	72.3841461239	44.162019162
curated/0014997588	Meta Henrico Data Center	VA	T51087201404	31.3367343298	Relatively Low	41.58917254	Relatively Moderate	60.2120601824	Relatively High	72.7860820758	47.838314505
curated/0015884451	Barclays Datacenter	NJ	T34039037300	62.9695694053	Relatively Moderate	22.91476633	Relatively Low	24.9591280654	Relatively Low	34.313200861	55.1527718194
curated/0016282459	CyberNAP Glen Burnie	MD	T24003730404	2.36048184748	Very Low	56.20505834	Relatively Moderate	82.3279232318	Very High	36.9709726137	43.0716430716

08. `data_center_historical_climate`

Estimated rows: 1,637. Columns: 50. Ordering: master_id.

Showing 12 of 50 columns. Omitted columns include: source, operator, city, country, longitude, latitude, geom, daymet_dataset_version, gridmet_dataset_version, daymet_tile, daymet_elevation_m, daymet_grid_x_m, daymet_grid_y_m, gridmet_grid_latitude, gridmet_grid_longitude, observation_days, observation_years, min_daily_temperature_c, mean_diurnal_temperature_range_c, mean_relative_humidity_pct....

master_id	name	state	climate_period_start	climate_period_end	mean_annual_temperature_c	mean_summer_temperature_c	max_daily_temperature_c	mean_wet_bulb_temperature_c	extreme_wet_bulb_days	annual_precipitation_mm_mean	mean_wind_speed_ms
curated/0002744301	Verizon	NJ	1991-01-01	2020-12-31	12.106094063926944	23.14475	39.99	8.787162967436066	8	1271.835333333333	4.2083591896331445
curated/0007805491	Discover Financial Services New Albany	OH	1991-01-01	2020-12-31	10.999028767123287	22.140809782608695	36.65	7.739707851278796	0	1179.073333333333	4.509810184340208
curated/0009474864	Google Data Center	NC	1991-01-01	2020-12-31	14.601237442922375	24.0555018115942	38.19	10.743958460260739	0	1337.2663333333333	3.648339112976821
curated/0013924557	Project Alluvion	IA	1991-01-01	2020-12-31	9.937553424657532	22.686903985507247	40.02	6.647978315594057	7	997.7766666666668	4.135325789377624
curated/0014271367e0e039e1b1b386315f6581	Newton (Atlanta) Data Center	GA	1991-01-01	2020-12-31	16.640601369863017	25.655347826086956	41.04	12.78379526240016	0	1407.6886666666664	3.336156232889214
curated/0014593270	Apple - Maiden Data Center	NC	1991-01-01	2020-12-31	15.29845388127854	24.77782971014493	39.41	11.477148194394323	0	1283.5513333333333	3.33977003102756
curated/0014930068	HPC (880)	NM	1991-01-01	2020-12-31	13.243185388127854	23.824653985507247	39.9	6.035874535137781	0	267.88033333333334	3.6975816754882285
curated/0014997588	Meta Henrico Data Center	VA	1991-01-01	2020-12-31	14.962249315068494	24.96223731884058	40.06	11.284880957129747	10	1247.745	3.8984851250228147
curated/0015884451	Barclays Datacenter	NJ	1991-01-01	2020-12-31	12.439309132420089	23.47996739130435	40.04	9.296053538204665	17	1323.1563333333334	4.481848877532397
curated/0016282459	CyberNAP Glen Burnie	MD	1991-01-01	2020-12-31	14.028422374429223	24.874704710144925	39.33	10.803609721340456	36	1214.2743333333335	3.739450629676949

09. `data_center_usdm_drought_exposure`

Estimated rows: 1,833. Columns: 31. Ordering: master_id.

Showing 12 of 31 columns. Omitted columns include: source, operator, city, country, longitude, latitude, geom, drought_period_start, drought_period_end, weeks_in_d0_or_worse, weeks_in_d1_or_worse, weeks_in_d2_or_worse, weeks_in_d3_or_worse, weeks_in_d4, pct_weeks_in_d1_or_worse, longest_d0_streak_weeks, longest_d3_streak_weeks, fetched_at, updated_at.

master_id	name	state	usdm_status	weeks_observed	pct_weeks_in_d0_or_worse	pct_weeks_in_d2_or_worse	pct_weeks_in_d3_or_worse	pct_weeks_in_d4	worst_dm_category	mean_dm_category	longest_d2_streak_weeks
curated/0002744301	Verizon	NJ	covered	1356	0.23820058997050148	0.038348082595870206	0.008112094395280236	0.0	3	0.1696165191740413	18
curated/0007805491	Discover Financial Services New Albany	OH	covered	1356	0.12831858407079647	0.009587020648967551	0.0	0.0	2	0.04498525073746313	10
curated/0009474864	Google Data Center	NC	covered	1356	0.3938053097345133	0.1261061946902655	0.0715339233038348	0.014749262536873156	4	0.45353982300884954	66
curated/0013924557	Project Alluvion	IA	covered	1356	0.39601769911504425	0.07743362831858407	0.008112094395280236	0.0	3	0.3053097345132743	38
curated/0014271367e0e039e1b1b386315f6581	Newton (Atlanta) Data Center	GA	covered	1356	0.4690265486725664	0.22713864306784662	0.10545722713864307	0.03023598820058997	4	0.7064896755162242	82
curated/0014593270	Apple - Maiden Data Center	NC	covered	1356	0.4505899705014749	0.13200589970501475	0.07300884955752213	0.025811209439528023	4	0.5007374631268436	59
curated/0014930068	HPC (880)	NM	covered	1356	0.7684365781710915	0.34365781710914456	0.1747787610619469	0.01991150442477876	4	1.0737463126843658	108
curated/0014997588	Meta Henrico Data Center	VA	covered	1356	0.27949852507374634	0.043510324483775814	0.01032448377581121	0.0029498525073746312	4	0.16371681415929204	39
curated/0015884451	Barclays Datacenter	NJ	covered	1356	0.23893805309734514	0.03687315634218289	0.008112094395280236	0.0	3	0.16371681415929204	25
curated/0016282459	CyberNAP Glen Burnie	MD	covered	1356	0.26327433628318586	0.05825958702064897	0.01327433628318584	0.0	3	0.20648967551622419	24

10. `data_center_hms_smoke_exposure`

Estimated rows: 1,833. Columns: 30. Ordering: master_id.

Showing 12 of 30 columns. Omitted columns include: source, operator, city, country, longitude, latitude, geom, smoke_period_start, smoke_period_end, days_with_any_smoke, days_with_light_or_worse, days_with_medium_or_worse, days_with_heavy_smoke, pct_days_with_light_or_worse, longest_any_smoke_streak_days, longest_medium_or_heavy_streak_days, fetched_at, updated_at.

master_id	name	state	hms_status	days_observed	pct_days_with_any_smoke	pct_days_with_medium_or_worse	pct_days_with_heavy_smoke	worst_density_rank	worst_density	mean_density_rank	longest_heavy_smoke_streak_days
curated/0002744301	Verizon	NJ	observed	7582	0.11184384067528357	0.02176206805592192	0.0035610656818781325	3	Heavy	0.13716697441308362	3
curated/0007805491	Discover Financial Services New Albany	OH	observed	7582	0.13545238723292008	0.02571880770245318	0.006067000791347929	3	Heavy	0.1672381957267212	4
curated/0009474864	Google Data Center	NC	observed	7582	0.1144816671063044	0.015167501978369823	0.0018464785017145871	3	Heavy	0.13149564758638882	2
curated/0013924557	Project Alluvion	IA	observed	7582	0.20034291743603272	0.04761276707992614	0.010419414402532313	3	Heavy	0.25837509891849114	5
curated/0014271367e0e039e1b1b386315f6581	Newton (Atlanta) Data Center	GA	observed	7582	0.12674756001055132	0.015167501978369823	0.0018464785017145871	3	Heavy	0.14376154049063572	3
curated/0014593270	Apple - Maiden Data Center	NC	observed	7582	0.11711949353732524	0.013848588762859404	0.0021102611448166712	3	Heavy	0.13307834344500133	2
curated/0014930068	HPC (880)	NM	observed	7582	0.07122131363756265	0.013321023476655236	0.0035610656818781325	3	Heavy	0.08810340279609602	5
curated/0014997588	Meta Henrico Data Center	VA	observed	7582	0.11764705882352941	0.01688208915853337	0.0035610656818781325	3	Heavy	0.13809021366394092	5
curated/0015884451	Barclays Datacenter	NJ	observed	7582	0.11158005803218148	0.022025850699024005	0.0040886309680823	3	Heavy	0.1376945396992878	3
curated/0016282459	CyberNAP Glen Burnie	MD	observed	7582	0.11263518860458982	0.019388024268003165	0.0034291743603270903	3	Heavy	0.13545238723292008	3

11. `data_center_election_context`

Estimated rows: 1,833. Columns: 13. Ordering: master_id.

Showing 12 of 13 columns. Omitted columns include: updated_at.

master_id	name	city	state	election_year	office	democratic_votes	republican_votes	total_votes	turnout_or_vote_share	precinct_identifier_name	rdh_layer_title
curated/0002744301	Verizon	NaN	NJ	2020	President	17390.0	6690.0	24080.0	0.7221760797342193	Piscataway Township	VEST 2020 New Jersey precinct boundaries and election results shapefile
curated/0007805491	Discover Financial Services New Albany	NaN	OH	2020	President	669.0	469.0	1138.0	0.8687022900763359	BFX	Ohio 2020 General Election Precinct and Election Results (Extended)
curated/0009474864	Google Data Center	NaN	NC	2020	President	705.0	1373.0	2078.0	0.33926852743022134	NaN	VEST 2020 North Carolina precinct boundaries and election results shapefile
curated/0013924557	Project Alluvion	NaN	IA	2020	President	538.0	377.0	915.0	0.5879781420765028	WDM112	VEST 2020 Iowa precinct and election results
curated/0014271367e0e039e1b1b386315f6581	Newton (Atlanta) Data Center	Social Circle	GA	2020	President	928.0	2347.0	3275.0	0.2833587786259542	297418	VEST 2020 Georgia precinct boundaries and election results shapefile
curated/0014593270	Apple - Maiden Data Center	NaN	NC	2020	President	909.0	2482.0	3391.0	0.26806251843114126	NaN	VEST 2020 North Carolina precinct boundaries and election results shapefile
curated/0014930068	HPC (880)	NaN	NM	2020	President	80.0	135.0	215.0	0.37209302325581395	258	VEST 2020 New Mexico precinct and election results
curated/0014997588	Meta Henrico Data Center	NaN	VA	2020	U.S. Senate	201.0	587.0	788.0	0.2550761421319797	Elko	VEST 2020 Virginia precinct boundaries and election results shapefile
curated/0015884451	Barclays Datacenter	NaN	NJ	2020	President	9040.0	6088.0	15128.0	0.597567424643046	Cranford Township	VEST 2020 New Jersey precinct boundaries and election results shapefile
curated/0016282459	CyberNAP Glen Burnie	NaN	MD	2020	President	417.0	491.0	908.0	0.4592511013215859	ANNE ARUNDEL PRECINCT 02-011	VEST 2020 Maryland precinct and election results

12. `data_center_rdh_precinct_vote_matches`

Estimated rows: 3,330. Columns: 7. Ordering: master_id, feature_id.

master_id	feature_id	layer_id	state_code	join_method	matched_at
curated/0002744301	cdeae08e0ed9070530937088	98741c3d7281ecf3	NJ	point_in_precinct	2026-05-22T21:56:04.013534+00:00
curated/0007805491	3df485dfa083048eddd6742c	001ae681b11a7403	OH	point_in_precinct	2026-05-22T21:56:04.013534+00:00
curated/0007805491	49b7d2e77e783540b27146f9	8289496602c3ba6f	OH	point_in_precinct	2026-05-22T21:56:04.013534+00:00
curated/0007805491	7217cf09bb956b2663658b81	1dd660766654d8c9	OH	point_in_precinct	2026-05-22T21:56:04.013534+00:00
curated/0009474864	4fccbff62a06418c9500c0db	093bea99f4098801	NC	point_in_precinct	2026-05-22T21:56:04.013534+00:00
curated/0009474864	68e1c4c9748ce670c466d515	03b4552784ad5e64	NC	point_in_precinct	2026-05-22T21:56:04.013534+00:00
curated/0009474864	cbf76052d1c2c4984fb5303d	3cd4bcd737908e07	NC	point_in_precinct	2026-05-22T21:56:04.013534+00:00
curated/0013924557	ed3838610316a42243f0c9ad	9e5d2513d8fda919	IA	point_in_precinct	2026-05-22T21:56:04.013534+00:00
curated/0014271367e0e039e1b1b386315f6581	4474cd7bb10c0c9fe609799f	e7d5e5b5e514f19b	GA	point_in_precinct	2026-05-22T21:56:04.013534+00:00
curated/0014271367e0e039e1b1b386315f6581	54c830006bdf45896d6ed1b8	96019051d65a5f79	GA	point_in_precinct	2026-05-22T21:56:04.013534+00:00

13. `usdm_drought_weekly`

Estimated rows: 12,080. Columns: 7. Ordering: id.

id	week_date	dm_category	objectid	shape_leng	shape_area	geom
1	2000-01-04	0	1	32170925.2065	2153934540100.0	ST_MultiPolygon; srid=4326; points=30029; bbox=POLYGON((-122.6865729593049 25.83802464207686,-122.6865729593049 49.38...
2	2000-01-04	1	2	19559980.7608	1092486150330.0	ST_MultiPolygon; srid=4326; points=12359; bbox=POLYGON((-157.30627357682857 18.915496517285398,-157.30627357682857 44...
3	2000-01-04	2	3	7946642.57601	736181293177.0	ST_MultiPolygon; srid=4326; points=4533; bbox=POLYGON((-104.99222016805918 28.629182546534828,-104.99222016805918 44....
4	2000-01-11	0	1	32296973.4448	2872049646530.0	ST_MultiPolygon; srid=4326; points=31734; bbox=POLYGON((-122.94548791097417 25.83802464207686,-122.94548791097417 49....
5	2000-01-11	1	2	12953315.7818	742122520570.0	ST_MultiPolygon; srid=4326; points=9698; bbox=POLYGON((-105.02259598718679 27.447046525660603,-105.02259598718679 38....
6	2000-01-11	1	3	915837.16825	9626607395.74	ST_MultiPolygon; srid=4326; points=725; bbox=POLYGON((-157.30627357682857 18.915496517285398,-157.30627357682857 21.2...
7	2000-01-11	1	4	6357744.27578	428794634251.0	ST_MultiPolygon; srid=4326; points=1716; bbox=POLYGON((-101.47346353234363 38.464544442435546,-101.47346353234363 44....
8	2000-01-11	2	5	1346098.76758	111052103778.0	ST_MultiPolygon; srid=4326; points=351; bbox=POLYGON((-85.65307656265493 29.740860638402328,-85.65307656265493 34.192...
9	2000-01-11	2	6	4617767.61288	453753202058.0	ST_MultiPolygon; srid=4326; points=3650; bbox=POLYGON((-105.01457655763878 28.629159438938803,-105.01457655763878 34....
10	2000-01-11	2	7	774059.302853	46976398922.1	ST_MultiPolygon; srid=4326; points=236; bbox=POLYGON((-87.48149930170945 39.494173874234626,-87.48149930170945 41.791...

14. `data_center_usdm_drought_dc_week`

Estimated rows: 2,481,480. Columns: 3. Ordering: master_id, week_date.

master_id	week_date	worst_dm
curated/0002744301	2000-01-04	-1
curated/0002744301	2000-01-11	-1
curated/0002744301	2000-01-18	-1
curated/0002744301	2000-01-25	-1
curated/0002744301	2000-02-01	-1
curated/0002744301	2000-02-08	-1
curated/0002744301	2000-02-15	-1
curated/0002744301	2000-02-22	-1
curated/0002744301	2000-02-29	-1
curated/0002744301	2000-03-07	-1

15. `hms_smoke_days`

Estimated rows: 7,075. Columns: 7. Ordering: smoke_date.

smoke_date	source	source_file	source_url	feature_count	fetched_at	updated_at
2005-08-05	annual_bundle	hms_smoke2005.zip	https://satepsanone.nesdis.noaa.gov/pub/FIRE/web/HMS/Smoke_Polygons/Shapefile/Annual_Bundles/hms_smoke2005.zip	56	2026-05-22T15:57:32.695621+00:00	2026-05-22T15:57:32.695621+00:00
2005-08-06	annual_bundle	hms_smoke2005.zip	https://satepsanone.nesdis.noaa.gov/pub/FIRE/web/HMS/Smoke_Polygons/Shapefile/Annual_Bundles/hms_smoke2005.zip	80	2026-05-22T15:57:32.695621+00:00	2026-05-22T15:57:32.695621+00:00
2005-08-07	annual_bundle	hms_smoke2005.zip	https://satepsanone.nesdis.noaa.gov/pub/FIRE/web/HMS/Smoke_Polygons/Shapefile/Annual_Bundles/hms_smoke2005.zip	95	2026-05-22T15:57:32.695621+00:00	2026-05-22T15:57:32.695621+00:00
2005-08-08	annual_bundle	hms_smoke2005.zip	https://satepsanone.nesdis.noaa.gov/pub/FIRE/web/HMS/Smoke_Polygons/Shapefile/Annual_Bundles/hms_smoke2005.zip	27	2026-05-22T15:57:32.695621+00:00	2026-05-22T15:57:32.695621+00:00
2005-08-11	annual_bundle	hms_smoke2005.zip	https://satepsanone.nesdis.noaa.gov/pub/FIRE/web/HMS/Smoke_Polygons/Shapefile/Annual_Bundles/hms_smoke2005.zip	38	2026-05-22T15:57:32.695621+00:00	2026-05-22T15:57:32.695621+00:00
2005-08-12	annual_bundle	hms_smoke2005.zip	https://satepsanone.nesdis.noaa.gov/pub/FIRE/web/HMS/Smoke_Polygons/Shapefile/Annual_Bundles/hms_smoke2005.zip	25	2026-05-22T15:57:32.695621+00:00	2026-05-22T15:57:32.695621+00:00
2005-08-13	annual_bundle	hms_smoke2005.zip	https://satepsanone.nesdis.noaa.gov/pub/FIRE/web/HMS/Smoke_Polygons/Shapefile/Annual_Bundles/hms_smoke2005.zip	20	2026-05-22T15:57:32.695621+00:00	2026-05-22T15:57:32.695621+00:00
2005-08-14	annual_bundle	hms_smoke2005.zip	https://satepsanone.nesdis.noaa.gov/pub/FIRE/web/HMS/Smoke_Polygons/Shapefile/Annual_Bundles/hms_smoke2005.zip	26	2026-05-22T15:57:32.695621+00:00	2026-05-22T15:57:32.695621+00:00
2005-08-15	annual_bundle	hms_smoke2005.zip	https://satepsanone.nesdis.noaa.gov/pub/FIRE/web/HMS/Smoke_Polygons/Shapefile/Annual_Bundles/hms_smoke2005.zip	49	2026-05-22T15:57:32.695621+00:00	2026-05-22T15:57:32.695621+00:00
2005-08-16	annual_bundle	hms_smoke2005.zip	https://satepsanone.nesdis.noaa.gov/pub/FIRE/web/HMS/Smoke_Polygons/Shapefile/Annual_Bundles/hms_smoke2005.zip	25	2026-05-22T15:57:32.695621+00:00	2026-05-22T15:57:32.695621+00:00

16. `hms_smoke_daily`

Estimated rows: 494,284. Columns: 14. Ordering: id.

Showing 12 of 14 columns. Omitted columns include: source_url, fetched_at.

id	smoke_date	density	density_rank	satellite	start_utc	end_utc	source	source_file	geom	start_raw	end_raw
1	2005-08-05	Unspecified	1	GOES	2005-08-05T12:00:00+00:00	2005-08-05T17:00:00+00:00	annual_bundle	hms_smoke2005.zip	ST_MultiPolygon; srid=4326; points=7; bbox=POLYGON((-121.468 50.35,-121.468 50.581,-121.111 50.581,-121.111 50.35,-12...	2005217 1200	2005217 1700
2	2005-08-05	Unspecified	1	GOES	2005-08-05T12:00:00+00:00	2005-08-05T17:00:00+00:00	annual_bundle	hms_smoke2005.zip	ST_MultiPolygon; srid=4326; points=9; bbox=POLYGON((-115.228 47.047,-115.228 47.387,-114.673 47.387,-114.673 47.047,-...	2005217 1200	2005217 1700
3	2005-08-05	Unspecified	1	GOES	2005-08-05T12:00:00+00:00	2005-08-05T17:00:00+00:00	annual_bundle	hms_smoke2005.zip	ST_MultiPolygon; srid=4326; points=8; bbox=POLYGON((-114.301 46.027,-114.301 46.276,-113.998 46.276,-113.998 46.027,-...	2005217 1200	2005217 1700
4	2005-08-05	Unspecified	1	GOES	2005-08-05T11:45:00+00:00	2005-08-05T17:15:00+00:00	annual_bundle	hms_smoke2005.zip	ST_MultiPolygon; srid=4326; points=8; bbox=POLYGON((-78.781 37.401,-78.781 37.51,-78.693 37.51,-78.693 37.401,-78.781...	2005217 1145	2005217 1715
5	2005-08-05	Unspecified	1	GOES	2005-08-05T16:45:00+00:00	2005-08-05T19:45:00+00:00	annual_bundle	hms_smoke2005.zip	ST_MultiPolygon; srid=4326; points=9; bbox=POLYGON((-124.16 42.581,-124.16 42.747,-123.905 42.747,-123.905 42.581,-12...	2005217 1645	2005217 1945
6	2005-08-05	Unspecified	1	GOES	2005-08-05T16:45:00+00:00	2005-08-05T19:45:00+00:00	annual_bundle	hms_smoke2005.zip	ST_MultiPolygon; srid=4326; points=9; bbox=POLYGON((-120.965 47.31,-120.965 47.566,-120.67 47.566,-120.67 47.31,-120....	2005217 1645	2005217 1945
7	2005-08-05	Unspecified	1	GOES	2005-08-05T16:45:00+00:00	2005-08-05T19:45:00+00:00	annual_bundle	hms_smoke2005.zip	ST_MultiPolygon; srid=4326; points=14; bbox=POLYGON((-121.517 50.304,-121.517 50.744,-120.784 50.744,-120.784 50.304,...	2005217 1645	2005217 1945
8	2005-08-05	Unspecified	1	GOES	2005-08-05T16:45:00+00:00	2005-08-05T19:45:00+00:00	annual_bundle	hms_smoke2005.zip	ST_MultiPolygon; srid=4326; points=13; bbox=POLYGON((-114.377 46.041,-114.377 46.286,-113.669 46.286,-113.669 46.041,...	2005217 1645	2005217 1945
9	2005-08-05	Unspecified	1	GOES	2005-08-05T19:15:00+00:00	2005-08-05T22:45:00+00:00	annual_bundle	hms_smoke2005.zip	ST_MultiPolygon; srid=4326; points=11; bbox=POLYGON((-93.056 30.692,-93.056 30.95,-92.61 30.95,-92.61 30.692,-93.056 ...	2005217 1915	2005217 2245
10	2005-08-05	Unspecified	1	GOES	2005-08-05T19:15:00+00:00	2005-08-05T22:45:00+00:00	annual_bundle	hms_smoke2005.zip	ST_MultiPolygon; srid=4326; points=10; bbox=POLYGON((-92.674 33.601,-92.674 33.713,-92.5 33.713,-92.5 33.601,-92.674 ...	2005217 1915	2005217 2245

17. `data_center_hms_smoke_dc_day`

Estimated rows: 13,910,574. Columns: 4. Ordering: master_id, smoke_date.

master_id	smoke_date	max_density_rank	polygon_hits
curated/0002744301	2005-08-05	0	0
curated/0002744301	2005-08-06	0	0
curated/0002744301	2005-08-07	0	0
curated/0002744301	2005-08-08	0	0
curated/0002744301	2005-08-11	0	0
curated/0002744301	2005-08-12	0	0
curated/0002744301	2005-08-13	0	0
curated/0002744301	2005-08-14	0	0
curated/0002744301	2005-08-15	0	0
curated/0002744301	2005-08-16	0	0

18. `rdh_precinct_vote_layers`

Estimated rows: 56. Columns: 11. Ordering: layer_id.

layer_id	state_code	title	format	datasetid	source_url	filename	local_path	spatial_path	metadata	loaded_at
001ae681b11a7403	OH	Ohio 2020 Primary Election Precinct and Election Results	SHP	33850	https://redistrictingdatahub.org/wp-json/download/file/web_ready_stage%2Ferj_precinct%2Foh_prim_20_prec.zip?username=...	oh_prim_20_prec.zip	data/rdh_precinct_vote/raw/OH/oh_prim_20_prec.zip	data/rdh_precinct_vote/extracted/001ae681b11a7403/oh_prim_20_prec/oh_prim_20_st_prec.shp	{"columns": ["UNIQUE_ID", "COUNTYFP", "STATEFP20", "COUNTYFP20", "VTDST20", "PRECINCT20", "GEOID20", "NAME20", "REG_V...	2026-05-20T16:25:26.396218+00:00
03b4552784ad5e64	NC	North Carolina 2020 General Election Precinct and Election Results (Extended)	SHP	33725	https://redistrictingdatahub.org/wp-json/download/file/web_ready_stage%2Ferj_precinct%2Fnc_gen_20_prec.zip?username=Y...	nc_gen_20_prec.zip	data/rdh_precinct_vote/raw/NC/nc_gen_20_prec.zip	data/rdh_precinct_vote/extracted/03b4552784ad5e64/nc_gen_20_cong_prec.shp	{"columns": ["UNIQUE_ID", "COUNTYFP", "ENR_DESC", "COUNTY_NAM", "COUNTY_ID", "CONG_DIST", "GCON01DBUT", "GCON01RSMI",...	2026-05-20T16:24:34.085021+00:00
03ec783efd4c2651	WV	VEST 2020 West Virginia precinct and election results	SHP	36595	https://redistrictingdatahub.org/wp-json/download/file/web_ready_stage%2Fdata_partners%2Fvest%2F2020%2Fwv_vest_20.zip...	wv_vest_20.zip	data/rdh_precinct_vote/raw/WV/wv_vest_20.zip	data/rdh_precinct_vote/extracted/03ec783efd4c2651/wv_vest_20.shp	{"columns": ["STATEFP", "COUNTYFP", "VTDST", "NAME", "NAMELSAD", "G20PRERTRU", "G20PREDBID", "G20PRELJOR", "G20PREMHA...	2026-05-20T16:27:43.153607+00:00
06f81d92346b902b	MT	VEST 2020 Montana precinct and election results	SHP	23396	https://redistrictingdatahub.org/wp-json/download/file/web_ready_stage%2Fdata_partners%2Fvest%2F2020%2Fmt_vest_20.zip...	mt_vest_20.zip	data/rdh_precinct_vote/raw/MT/mt_vest_20.zip	data/rdh_precinct_vote/extracted/06f81d92346b902b/mt_vest_20.shp	{"columns": ["STATEFP10", "COUNTYFP10", "COUNTY", "NAME", "SOSPRECINC", "G20PRERTRU", "G20PREDBID", "G20PRELJOR", "G2...	2026-05-20T16:24:29.335586+00:00
093bea99f4098801	NC	North Carolina 2020 Primary Election Precinct and Election Results	SHP	34057	https://redistrictingdatahub.org/wp-json/download/file/web_ready_stage%2Ferj_precinct%2Fnc_prim_20_prec.zip?username=...	nc_prim_20_prec.zip	data/rdh_precinct_vote/raw/NC/nc_prim_20_prec.zip	data/rdh_precinct_vote/extracted/093bea99f4098801/nc_prim_20_prec/nc_prim_20_cong_prec.shp	{"columns": ["UNIQUE_ID", "COUNTYFP", "ENR_DESC", "COUNTY_NAM", "COUNTY_ID", "CONG_DIST", "PCON01RBAC", "PCON01RGLI",...	2026-05-20T16:24:41.914603+00:00
0c9eb5f131f0d5a7	MI	Michigan 2020 General Election Precinct and Election Results (Extended)	SHP	36077	https://redistrictingdatahub.org/wp-json/download/file/web_ready_stage%2Ferj_precinct%2Fmi_gen_20_prec.zip?username=Y...	mi_gen_20_prec.zip	data/rdh_precinct_vote/raw/MI/mi_gen_20_prec.zip	data/rdh_precinct_vote/extracted/0c9eb5f131f0d5a7/mi_st_20_prec.shp	{"columns": ["UNIQUE_ID", "COUNTYFP", "PRECINCTID", "COUNTYFIPS", "cousubname", "elexpre", "G20AM1NO", "G20AM1YES", "...	2026-05-20T16:24:01.188530+00:00
0d2368617ecb8a90	NE	VEST 2020 Nebraska precinct boundaries and election results	SHP	24199	https://redistrictingdatahub.org/wp-json/download/file/web_ready_stage%2Fdata_partners%2Fvest%2F2020%2Fne_vest_20.zip...	ne_vest_20.zip	data/rdh_precinct_vote/raw/NE/ne_vest_20.zip	data/rdh_precinct_vote/extracted/0d2368617ecb8a90/ne_vest_20.shp	{"columns": ["COUNTY", "NAME", "G20PRERTRU", "G20PREDBID", "G20PRELJOR", "G20USSRSAS", "G20USSDJAN", "G20USSLSIA", "g...	2026-05-20T16:24:54.404563+00:00
137ca493b7e6859d	NV	VEST 2020 Nevada precinct boundaries and election results shapefile	SHP	23751	https://redistrictingdatahub.org/wp-json/download/file/web_ready_stage%2Fdata_partners%2Fvest%2F2020%2Fnv_vest_20.zip...	nv_vest_20.zip	data/rdh_precinct_vote/raw/NV/nv_vest_20.zip	data/rdh_precinct_vote/extracted/137ca493b7e6859d/nv_vest_20.shp	{"columns": ["STATEFP", "COUNTYFP", "COUNTY", "VTDST", "NAME", "G20PREDBID", "G20PRERTRU", "G20PRELJOR", "G20PREIBLA"...	2026-05-20T16:25:04.650847+00:00
1c295ef7a5ca9e75	VA	Virginia 2020 General Election Precinct and Election Results (Extended)	SHP	36165	https://redistrictingdatahub.org/wp-json/download/file/web_ready_stage%2Ferj_precinct%2Fva_gen_20_prec.zip?username=Y...	va_gen_20_prec.zip	data/rdh_precinct_vote/raw/VA/va_gen_20_prec.zip	data/rdh_precinct_vote/extracted/1c295ef7a5ca9e75/va_gen_20_st_cong_prec.shp	{"columns": ["UNIQUE_ID", "COUNTYFP", "LOCALITY", "VTDST", "PRECINCT", "CONG_DIST", "G20PREDBID", "G20PRELJOR", "G20P...	2026-05-20T13:05:47.686733+00:00
1c4b6b10d62350ab	NM	VEST 2020 New Mexico precinct and election results	SHP	32704	https://redistrictingdatahub.org/wp-json/download/file/web_ready_stage%2Fdata_partners%2Fvest%2F2020%2Fnm_vest_20.zip...	nm_vest_20.zip	data/rdh_precinct_vote/raw/NM/nm_vest_20.zip	data/rdh_precinct_vote/extracted/1c4b6b10d62350ab/nm_vest_20.shp	{"columns": ["STATEFP", "COUNTYFP", "COUNTYNAME", "VTDST", "NAME", "G20PREDBID", "G20PRERTRU", "G20PRELJOR", "G20PREG...	2026-05-20T16:25:00.803232+00:00

19. `rdh_precinct_vote_features`

Estimated rows: 260,953. Columns: 6. Ordering: feature_id.

feature_id	layer_id	state_code	source_row	properties	geom
00001ee7d4edd43dbd774cc8	2ddb7e8b308af66e	UT	2134	{"CountyID": "26", "G20ATGDSKO": "61", "G20ATGLBAU": "8", "G20ATGRREY": "159", "G20AUDCOST": "20", "G20AUDRDOU": "167...	ST_MultiPolygon; srid=4326; points=573; bbox=POLYGON((-111.52424487897268 40.477892051471144,-111.52424487897268 40.5...
00006aeed0fa0fadee0665d8	24c27a4e4d0a783a	OK	262	{"COUNTYFP": "109", "COUNTY_NAM": "Oklahoma", "G20COCLHAG": "290", "G20COCRHIE": "946", "G20PREDBID": "415", "G20PREI...	ST_MultiPolygon; srid=4326; points=132; bbox=POLYGON((-97.6543008528392 35.49329338479545,-97.6543008528392 35.507888...
00015585705bd61161fc6fb8	d0f34610aa1b4513	WI	3892	{"CNTY_FIPS": "55139", "CNTY_NAME": "WINNEBAGO", "CTV": "T", "G20PRECBLA": "1", "G20PREDBID": "157", "G20PREICAR": "1...	ST_MultiPolygon; srid=4326; points=107; bbox=POLYGON((-88.63494382054726 44.15531286305138,-88.63494382054726 44.1850...
00018e188804ab223d3fe67d	001ae681b11a7403	OH	5074	{"COUNTYFP": "035", "COUNTYFP20": "035", "GEOID20": "39035018CBP", "NAME20": "MAYFIELD HEIGHTS-00-B", "P20PREDBEN": "...	ST_MultiPolygon; srid=4326; points=18; bbox=POLYGON((-81.46835899999999 41.520042,-81.46835899999999 41.530711,-81.46...
0001d95aec8088a258b4cbf8	1c295ef7a5ca9e75	VA	742	{"CONG_DIST": "8", "COUNTYFP": "059", "G20PREDBID": "1111.0", "G20PRELJOR": "6.0", "G20PREOWRI": "23.0", "G20PRERTRU"...	ST_MultiPolygon; srid=4326; points=112; bbox=POLYGON((-77.05839399999999 38.721784,-77.05839399999999 38.733346999999...
0002094741e64fe1174479bf	b274db08233b3488	CA	11095	{"ADDIST": "56", "BEDIST": "4", "CDDIST": "36", "CNTY_CODE": "33", "COUNTY": "Riverside", "FIPS_CODE": "6065", "G20PR...	ST_MultiPolygon; srid=4326; points=1223; bbox=POLYGON((-116.30127818534983 33.73807788000914,-116.30127818534983 33.8...
00024ffb305d4cb048b8c4da	299459035d6a5f81	TX	4951	{"CNTY": "409", "CNTYKEY": "205", "COLOR": "2", "G20PREDBID": "134", "G20PREGHAW": "0", "G20PRELJOR": "2", "G20PREOWR...	ST_MultiPolygon; srid=4326; points=1067; bbox=POLYGON((-97.771343000238 27.86559399961167,-97.771343000238 28.0596060...
000284c52de245ad9500727a	b274db08233b3488	CA	8062	{"ADDIST": "4", "BEDIST": "2", "CDDIST": "5", "CNTY_CODE": "28", "COUNTY": "Napa", "FIPS_CODE": "6055", "G20PREAFUE":...	ST_MultiPolygon; srid=4326; points=220; bbox=POLYGON((-122.60430471286963 38.578543542126795,-122.60430471286963 38.5...
00030724f179135b773cdf2f	65fba79e3ea24d7e	KS	2204	{"COUNTYFP": "167", "G20PREDBID": "11", "G20PRELJOR": "2", "G20PRERTRU": "78", "G20USSDBOL": "16", "G20USSLBUC": "1",...	ST_MultiPolygon; srid=4326; points=510; bbox=POLYGON((-99.039186 38.958084,-99.039186 39.133359999999996,-98.815737 3...
000331172a4640dd67e9a30f	9e5d2513d8fda919	IA	1107	{"COUNTY": "Story", "DISTRICT": "AMES3-2", "G20PRECBLA": "0", "G20PREDBID": "781", "G20PREGHAW": "3", "G20PREIPIE": "...	ST_MultiPolygon; srid=4326; points=130; bbox=POLYGON((-93.68695235712704 42.00842657102323,-93.68695235712704 42.0182...

20. `_dc_census_tract_acs_2024`

Estimated rows: 85,382. Columns: 45. Ordering: geoid.

Showing 12 of 45 columns. Omitted columns include: population_16_over, labor_force, unemployed, unemployment_rate, industry_total_workers, industry_agriculture_mining_workers, industry_construction_workers, industry_manufacturing_workers, industry_wholesale_trade_workers, industry_retail_trade_workers, industry_transportation_warehousing_utilities_workers, industry_information_workers, industry_finance_real_estate_workers, industry_professional_management_admin_workers, industry_education_health_social_workers, industry_arts_entertainment_food_workers, industry_other_services_workers, industry_public_administration_workers, median_household_income, per_capita_income....

geoid	acs_name	statefp	countyfp	tractce	population	median_age	households	avg_household_size	high_school_or_higher_pct	bachelor_or_higher_pct	broadband_subscription_pct
01001020100	Census Tract 201; Autauga County; Alabama	01	001	020100	1781	37.7	736	2.42	90.6	25.0	97.4
01001020200	Census Tract 202; Autauga County; Alabama	01	001	020200	1941	34.8	592	3.00	90.3	19.6	81.8
01001020300	Census Tract 203; Autauga County; Alabama	01	001	020300	3425	35.8	1235	2.75	86.9	12.2	95.7
01001020400	Census Tract 204; Autauga County; Alabama	01	001	020400	3948	44.4	1638	2.41	94.6	27.5	95.1
01001020501	Census Tract 205.01; Autauga County; Alabama	01	001	020501	4444	38.8	1907	2.33	96.8	47.6	99.5
01001020502	Census Tract 205.02; Autauga County; Alabama	01	001	020502	3563	35.1	1370	2.60	95.4	37.7	97.1
01001020503	Census Tract 205.03; Autauga County; Alabama	01	001	020503	3368	41.1	1406	2.30	93.6	42.4	98.6
01001020600	Census Tract 206; Autauga County; Alabama	01	001	020600	3458	41.3	1393	2.48	85.7	30.9	92.5
01001020700	Census Tract 207; Autauga County; Alabama	01	001	020700	3184	36.0	1224	2.57	90.4	23.1	89.5
01001020801	Census Tract 208.01; Autauga County; Alabama	01	001	020801	3247	40.2	1120	2.90	90.9	36.5	97.5

21. `_dc_census_tract_boundaries_2024`

Estimated rows: 85,058. Columns: 15. Ordering: gid.

Showing 12 of 15 columns. Omitted columns include: lsad, aland, awater.

gid	geoid	name	geom	statefp	countyfp	tractce	geoidfq	namelsad	stusps	namelsadco	state_name
1	06077005127	51.27	ST_MultiPolygon; srid=4326; points=10; bbox=POLYGON((-121.289906 37.826373,-121.289906 37.842728,-121.274765 37.84272...	06	077	005127	1400000US06077005127	Census Tract 51.27	CA	San Joaquin County	California
2	06077003406	34.06	ST_MultiPolygon; srid=4326; points=9; bbox=POLYGON((-121.309004 38.020908,-121.309004 38.028239,-121.29487 38.028239,...	06	077	003406	1400000US06077003406	Census Tract 34.06	CA	San Joaquin County	California
3	06077004402	44.02	ST_MultiPolygon; srid=4326; points=12; bbox=POLYGON((-121.273865 38.10113,-121.273865 38.116276,-121.242758 38.116276...	06	077	004402	1400000US06077004402	Census Tract 44.02	CA	San Joaquin County	California
4	06077005108	51.08	ST_MultiPolygon; srid=4326; points=14; bbox=POLYGON((-121.228856 37.797395,-121.228856 37.811969,-121.216447 37.81196...	06	077	005108	1400000US06077005108	Census Tract 51.08	CA	San Joaquin County	California
5	06077000401	4.01	ST_MultiPolygon; srid=4326; points=10; bbox=POLYGON((-121.31334 37.956222,-121.31334 37.966403,-121.29819 37.966403,-...	06	077	000401	1400000US06077000401	Census Tract 4.01	CA	San Joaquin County	California
6	06077003310	33.10	ST_MultiPolygon; srid=4326; points=11; bbox=POLYGON((-121.323174 38.020931,-121.323174 38.028264,-121.304941 38.02826...	06	077	003310	1400000US06077003310	Census Tract 33.10	CA	San Joaquin County	California
7	37037020600	206	ST_MultiPolygon; srid=4326; points=304; bbox=POLYGON((-79.402377 35.517434,-79.402377 35.686784,-79.08809 35.686784,-...	37	037	020600	1400000US37037020600	Census Tract 206	NC	Chatham County	North Carolina
8	37105030102	301.02	ST_MultiPolygon; srid=4326; points=58; bbox=POLYGON((-79.230631 35.441489,-79.230631 35.512961,-79.189538 35.512961,-...	37	105	030102	1400000US37105030102	Census Tract 301.02	NC	Lee County	North Carolina
9	37165010101	101.01	ST_MultiPolygon; srid=4326; points=50; bbox=POLYGON((-79.527903 34.704143,-79.527903 34.746661,-79.462012 34.746661,-...	37	165	010101	1400000US37165010101	Census Tract 101.01	NC	Scotland County	North Carolina
10	02050000300	3	ST_MultiPolygon; srid=4326; points=801; bbox=POLYGON((-160.985378 60.49432,-160.985378 62.292644,-153.00164 62.292644...	02	050	000300	1400000US02050000300	Census Tract 3	AK	Bethel Census Area	Alaska

22. `ruca_codes_2020_tract`

Estimated rows: 85,528. Columns: 27. Ordering: tract_fips_20.

Showing 12 of 27 columns. Omitted columns include: urban_area_code_20, urban_area_name_20, urban_core, urban_core_type, primary_ruca, primary_ruca_description, primary_destination_code, primary_destination_name, secondary_ruca, secondary_ruca_description, secondary_destination_code, secondary_destination_name, population, land_area, pop_density.

tract_fips_20	tract_fips_23	county_fips_23	county_code_23	county_name_23	tract_code_20	tract_name_20	county_fips_20	county_code_20	county_name_20	state_fips_20	state_name_20
01001020100	01001020100	01001	001	Autauga County	020100	Census Tract 201	01001	001	Autauga County	01	Alabama
01001020200	01001020200	01001	001	Autauga County	020200	Census Tract 202	01001	001	Autauga County	01	Alabama
01001020300	01001020300	01001	001	Autauga County	020300	Census Tract 203	01001	001	Autauga County	01	Alabama
01001020400	01001020400	01001	001	Autauga County	020400	Census Tract 204	01001	001	Autauga County	01	Alabama
01001020501	01001020501	01001	001	Autauga County	020501	Census Tract 205.01	01001	001	Autauga County	01	Alabama
01001020502	01001020502	01001	001	Autauga County	020502	Census Tract 205.02	01001	001	Autauga County	01	Alabama
01001020503	01001020503	01001	001	Autauga County	020503	Census Tract 205.03	01001	001	Autauga County	01	Alabama
01001020600	01001020600	01001	001	Autauga County	020600	Census Tract 206	01001	001	Autauga County	01	Alabama
01001020700	01001020700	01001	001	Autauga County	020700	Census Tract 207	01001	001	Autauga County	01	Alabama
01001020801	01001020801	01001	001	Autauga County	020801	Census Tract 208.01	01001	001	Autauga County	01	Alabama

23. `watershed_huc8`

Estimated rows: 2,139. Columns: 12. Ordering: huc8.

huc8	name	states	areaacres	areasqkm	loaddate	tnmid	geom
01010002	Allagash	ME	790334.93	3198.37	2012-06-11	{C930D1F1-68F0-472A-A4EB-5F73B61330EA}	ST_MultiPolygon; srid=4326; points=15997; bbox=POLYGON((-69.76273221499994 46.2352810790001,-69.76273221499994 47.097...
01010003	Fish	ME	569876.46	2306.21	2018-05-04	{AE921AE3-D259-4655-ABA5-67477C88A328}	ST_MultiPolygon; srid=4326; points=20136; bbox=POLYGON((-68.96623380899996 46.683741004000055,-68.96623380899996 47.3...
01010004	Aroostook	CN,ME	1561913.71	6320.85	2012-06-11	{17CF1648-B6CE-498E-A826-EC6CB47FB1C9}	ST_MultiPolygon; srid=4326; points=23045; bbox=POLYGON((-69.16016810299996 46.196373031000036,-69.16016810299996 47.1...
01010005	Meduxnekeag	CN,ME	328370.43	1328.87	2012-06-11	{530F8058-881E-45F5-9F80-D7027E49B810}	ST_MultiPolygon; srid=4326; points=6476; bbox=POLYGON((-68.13147749799995 45.89917515700006,-68.13147749799995 46.456...
01010006	Headwaters Saint John River	CN,ME	774740.34	3135.27	2018-05-04	{23F97AA3-4C4C-438B-8095-AAECBD7B85C9}	ST_MultiPolygon; srid=4326; points=13877; bbox=POLYGON((-70.43220942899998 45.986810322000025,-70.43220942899998 46.8...
01010007	Big Black River-Saint John River	CN,ME	950037.23	3844.67	2018-05-04	{0831C9CC-36F8-4251-9A19-414313C5078C}	ST_MultiPolygon; srid=4326; points=13547; bbox=POLYGON((-70.20554245899999 46.53396527800005,-70.20554245899999 47.45...
01010008	St. Francis River-Saint John River	CN,ME	1489332.74	6027.12	2018-05-04	{3DAA3FB3-E53A-43B9-A16D-D3B3619D3B02}	ST_MultiPolygon; srid=4326; points=17211; bbox=POLYGON((-69.46546432399995 46.96859477000008,-69.46546432399995 48.09...
01010009	Little River-Saint John River	CN,ME	1029296.77	4165.42	2018-05-04	{D4E96931-8FD5-4C44-AF23-C2A3C558A773}	ST_MultiPolygon; srid=4326; points=11052; bbox=POLYGON((-68.52576651599998 46.80976282400012,-68.52576651599998 47.90...
01010010	Becaguimec Stream-Saint John River	CN,ME	624456.56	2527.09	2012-06-11	{8F48101E-393E-4960-9A96-6097A52EE9D3}	ST_MultiPolygon; srid=4326; points=6633; bbox=POLYGON((-68.00928863599995 46.12960339600005,-68.00928863599995 46.813...
01010011	Keswick River-Saint John River	CN,ME	899412.41	3639.8	2017-08-10	{AAB3BA4E-77CF-4233-B100-94B3DBE345AE}	ST_MultiPolygon; srid=4326; points=5964; bbox=POLYGON((-67.84526302399996 45.7019823910001,-67.84526302399996 46.3038...

24. `nri_census_tracts`

Estimated rows: 85,154. Columns: 467. Ordering: database scan order.

Showing 12 of 467 columns. Omitted columns include: AGRIVALUE, AREA, RISK_VALUE, RISK_SCORE, RISK_RATNG, RISK_SPCTL, EAL_SCORE, EAL_RATNG, EAL_SPCTL, EAL_VALT, EAL_VALB, EAL_VALP, EAL_VALPE, EAL_VALA, ALR_VALB, ALR_VALP, ALR_VALA, ALR_NPCTL, ALR_VRA_NP, SOVI_SCORE....

NRI_ID	STATE	STATEABBRV	STATEFIPS	COUNTY	COUNTYTYPE	COUNTYFIPS	STCOFIPS	TRACT	TRACTFIPS	POPULATION	BUILDVALUE
T01001020100	Alabama	AL	01	Autauga	County	001	01001	020100	01001020100	1775	327304655.0
T01001020400	Alabama	AL	01	Autauga	County	001	01001	020400	01001020400	4246	714630002.0
T01001020200	Alabama	AL	01	Autauga	County	001	01001	020200	01001020200	2055	522608396.0
T01001020300	Alabama	AL	01	Autauga	County	001	01001	020300	01001020300	3216	652996417.0
T01001020501	Alabama	AL	01	Autauga	County	001	01001	020501	01001020501	4322	739207890.0
T01001020502	Alabama	AL	01	Autauga	County	001	01001	020502	01001020502	3284	514565009.0
T01001020503	Alabama	AL	01	Autauga	County	001	01001	020503	01001020503	3616	648328253.0
T01001020600	Alabama	AL	01	Autauga	County	001	01001	020600	01001020600	3729	675852573.0
T01001020700	Alabama	AL	01	Autauga	County	001	01001	020700	01001020700	3383	712676246.0
T01001020801	Alabama	AL	01	Autauga	County	001	01001	020801	01001020801	3143	807494674.0

25. `energy_eia_operating_generator_capacity_flat`

Estimated rows: 4,725,434. Columns: 24. Ordering: database scan order.

Showing 12 of 24 columns. Omitted columns include: state_name, entity_id, entity_name, sector, sector_name, energy_source_desc, prime_mover_code, balancing_authority_code, balancing_authority_name, net_summer_capacity_mw, net_winter_capacity_mw, raw_properties.

plant_id	generator_id	plant_name	state_id	status	energy_source_code	nameplate_capacity_mw	latitude	longitude	gid	geom	period
2	1	Bankhead Dam	AL	OP	WAT	45.0	33.218889	-87.579722	1	POINT(-87.579722 33.218889)	2008-01
3	1	Barry	AL	OP	BIT	153.1	31.004167	-88.013889	2	POINT(-88.013889 31.004167)	2008-01
3	2	Barry	AL	OP	BIT	153.1	31.004167	-88.013889	3	POINT(-88.013889 31.004167)	2008-01
3	3	Barry	AL	OP	BIT	272.0	31.004167	-88.013889	4	POINT(-88.013889 31.004167)	2008-01
3	4	Barry	AL	OP	BIT	403.7	31.004167	-88.013889	5	POINT(-88.013889 31.004167)	2008-01
3	5	Barry	AL	OP	BIT	788.8	31.004167	-88.013889	6	POINT(-88.013889 31.004167)	2008-01
3	A1CT	Barry	AL	OP	NG	170.1	31.004167	-88.013889	7	POINT(-88.013889 31.004167)	2008-01
3	A1ST	Barry	AL	OP	NG	195.2	31.004167	-88.013889	8	POINT(-88.013889 31.004167)	2008-01
3	A2C1	Barry	AL	OP	NG	170.1	31.004167	-88.013889	9	POINT(-88.013889 31.004167)	2008-01
3	A2C2	Barry	AL	OP	NG	170.1	31.004167	-88.013889	10	POINT(-88.013889 31.004167)	2008-01

26. `energy_eia_facility_fuel_flat`

No matching table found in public for public.energy_eia_facility_fuel_flat.

27. `energy_eia_seds_flat`

Estimated rows: 2,575,437. Columns: 10. Ordering: database scan order.

gid	period	year	series_id	series_description	state_id	state_name	unit	raw_properties
1	1960	1960	ABICB	Aviation gasoline blending components consumed by the industrial sector	AK	Alaska	Billion Btu	{"period": "1960", "seriesDescription": "Aviation gasoline blending components consumed by the industrial sector", "s...
2	1960	1960	ABICB	Aviation gasoline blending components consumed by the industrial sector	AL	Alabama	Billion Btu	{"period": "1960", "seriesDescription": "Aviation gasoline blending components consumed by the industrial sector", "s...
3	1960	1960	ABICB	Aviation gasoline blending components consumed by the industrial sector	AR	Arkansas	Billion Btu	{"period": "1960", "seriesDescription": "Aviation gasoline blending components consumed by the industrial sector", "s...
4	1960	1960	ABICB	Aviation gasoline blending components consumed by the industrial sector	AZ	Arizona	Billion Btu	{"period": "1960", "seriesDescription": "Aviation gasoline blending components consumed by the industrial sector", "s...
5	1960	1960	ABICB	Aviation gasoline blending components consumed by the industrial sector	CA	California	Billion Btu	{"period": "1960", "seriesDescription": "Aviation gasoline blending components consumed by the industrial sector", "s...
6	1960	1960	ABICB	Aviation gasoline blending components consumed by the industrial sector	CO	Colorado	Billion Btu	{"period": "1960", "seriesDescription": "Aviation gasoline blending components consumed by the industrial sector", "s...
7	1960	1960	ABICB	Aviation gasoline blending components consumed by the industrial sector	CT	Connecticut	Billion Btu	{"period": "1960", "seriesDescription": "Aviation gasoline blending components consumed by the industrial sector", "s...
8	1960	1960	ABICB	Aviation gasoline blending components consumed by the industrial sector	DC	District of Columbia	Billion Btu	{"period": "1960", "seriesDescription": "Aviation gasoline blending components consumed by the industrial sector", "s...
9	1960	1960	ABICB	Aviation gasoline blending components consumed by the industrial sector	DE	Delaware	Billion Btu	{"period": "1960", "seriesDescription": "Aviation gasoline blending components consumed by the industrial sector", "s...
10	1960	1960	ABICB	Aviation gasoline blending components consumed by the industrial sector	FL	Florida	Billion Btu	{"period": "1960", "seriesDescription": "Aviation gasoline blending components consumed by the industrial sector", "s...

28. `internet_cables`

Estimated rows: 693. Columns: 14. Ordering: feature_id.

Showing 12 of 14 columns. Omitted columns include: properties, geom.

feature_id	name	cable_id	color	owners	rfs_year	length_raw	length_km	url	extra_urls
2africa-0	2Africa	2africa	#939597	Bayobab, China Mobile, Meta, Orange, Telecom Egypt, Vodafone, WIOCC, center3	2024	45,000 km	45000	https://www.2africacable.net/	["https://www.submarinenetworks.com/en/systems/asia-europe-africa/2africa"]
2africa-1	2Africa	2africa	#b5258f	Bayobab, China Mobile, Meta, Orange, Telecom Egypt, Vodafone, WIOCC, center3	2024	45,000 km	45000	https://www.2africacable.net/	["https://www.submarinenetworks.com/en/systems/asia-europe-africa/2africa"]
5-villages-6-islands-0	5 Villages 6 Islands	5-villages-6-islands	#694099	Tokyo Metropolitan Government	2019	355 km	355		[]
acs-alaska-oregon-network-akorn-0	ACS Alaska-Oregon Network (AKORN)	acs-alaska-oregon-network-akorn	#4c4fa1	Alaska Communications	2009	3,000 km	3000	https://www.alaskacommunications.com	[]
aden-djibouti-0	Aden-Djibouti	aden-djibouti	#08acdb	Djibouti Telecom, Orange, Sparkle, Tata Communications, TeleYemen	1994	269 km	269	https://www.teleyemen.com.ye/	[]
adria-1-0	Adria-1	adria-1	#65b545	ALBtelecom, Hrvatski Telekom	1996	440 km	440		[]
aec-1-0	AEC-1	aec-1	#923c96	EXA Infrastructure	2016	5,521 km	5521	https://exainfra.net/	["https://www.submarinenetworks.com/en/systems/trans-atlantic/aec"]
africa-1-0	Africa-1	africa-1	#939597	G42, Mobily, Pakistan Telecommunications Company Ltd., TeleYemen, Telecom Egypt, Zain Omantel International, e&	2026	10,000 km	10000		["https://www.submarinenetworks.com/en/systems/asia-europe-africa/africa-1"]
africa-coast-to-europe-ace-0	Africa Coast to Europe (ACE)	africa-coast-to-europe-ace	#8cc63f	Bayobab, Cable Consortium of Liberia, Canalink, Dolphin Telecom, GUILAB, Gambia Submarine Cable Company, Internationa...	2012	17,000 km	17000		["https://www.submarinenetworks.com/en/systems/euro-africa/ace"]
airraq-0	Airraq	airraq	#bc3e96	Unicom, Inc.	2025	680 km	680	https://www.gci.com/	[]

29. `internet_cable_landing_points`

Estimated rows: 3,361. Columns: 6. Ordering: feature_id, ordinal.

feature_id	ordinal	landing_id	name	country
2africa-0	0	luanda-angola	Luanda, Angola	Angola
2africa-0	1	manama-bahrain	Manama, Bahrain	Bahrain
2africa-0	2	moroni-comoros	Moroni, Comoros	Comoros
2africa-0	3	muanda-congo-dem-rep-	Muanda, Congo, Dem. Rep.	Congo, Dem. Rep.
2africa-0	4	pointe-noire-congo-rep-	Pointe-Noire, Congo, Rep.	Congo, Rep.
2africa-0	5	abidjan-cte-divoire	Abidjan, Côte d'Ivoire	Côte d'Ivoire
2africa-0	6	djibouti-city-djibouti	Djibouti City, Djibouti	Djibouti
2africa-0	7	port-said-egypt	Port Said, Egypt	Egypt
2africa-0	8	ras-ghareb-egypt	Ras Ghareb, Egypt	Egypt
2africa-0	9	suez-egypt	Suez, Egypt	Egypt

30. `internet_city_dominance`

Estimated rows: 4,552. Columns: 13. Ordering: id.

Showing 12 of 13 columns. Omitted columns include: geom.

id	city	country	latitude	longitude	country_name	region	status	logical_dominance_ips	top_asns
aachen-de	Aachen	DE	50.7756	6.0836	Germany	Europe	existing	97803	[{"asn": "47610", "ip_count": "65792", "name": "RWTH-AS"}, {"asn": "34953", "ip_count": "8448", "name": "RelAix Netwo...
aalborg-dk	Aalborg	DK	57.05	9.9167	Denmark	Europe	existing	1074688	[{"asn": "9158", "ip_count": "914432", "name": "Telenor Denmark"}, {"asn": "6834", "ip_count": "90624", "name": "KMD ...
aalen-de	Aalen	DE	48.8333	10.1	Germany	Europe	existing	96512	[{"asn": "553", "ip_count": "65536", "name": "BelW\u00fc"}, {"asn": "6735", "ip_count": "24576", "name": "TNG Stadtne...
aalsmeer-nl	Aalsmeer	NL	52.2667	4.75	Netherlands	Europe	existing	50633	[{"asn": "1136", "ip_count": "32768", "name": "KPN NL"}, {"asn": "44074", "ip_count": "16384", "name": "RFH-AS"}, {"a...
aalst-be	Aalst	BE	50.9383	4.0392	Belgium	Europe	existing	263680	[{"asn": "5432", "ip_count": "262144", "name": "Proximus"}, {"asn": "204959", "ip_count": "1024", "name": "ONTEX"}, {...
aarau-ch	Aarau	CH	47.4	8.05	Switzerland	Europe	existing	54272	[{"asn": "33965", "ip_count": "17920", "name": "Litecom AG"}, {"asn": "6730", "ip_count": "17152", "name": "Sunrise G...
aarhus-dk	Aarhus	DK	56.1572	10.2107	Denmark	Europe	existing	70144	[{"asn": "44869", "ip_count": "65536", "name": "Fibia"}, {"asn": "3292", "ip_count": "1024", "name": "TDC A/S"}, {"as...
abakan-ru	Abakan	RU	53.7167	91.4667	Russia	Europe	existing	82432	[{"asn": "12389", "ip_count": "73984", "name": "Rostelecom"}, {"asn": "51612", "ip_count": "3072", "name": "ALFATEL-A...
aba-ng	Aba	NG	5.1167	7.3667	Nigeria	Africa	existing	33280	[{"asn": "36873", "ip_count": "32768", "name": "Airtel Networks Nigeria"}, {"asn": "29465", "ip_count": "512", "name"...
abbotsford-ca	Abbotsford	CA	49.05	-122.3167	Canada	North America	existing	59648	[{"asn": "6327", "ip_count": "58880", "name": "Shaw Cablesystems"}, {"asn": "19662", "ip_count": "512", "name": "Unis...

31. `fcc_bdc_location_provider_aggregates`

Sampled actual table: public.fcc_bdc_location_provider_aggregate.

Estimated rows: 998. Columns: 17. Ordering: as_of_date, geography_type, geoid.

Showing 12 of 17 columns. Omitted columns include: copper_provider_count, business_fiber_provider_count, business_100_20_provider_count, provider_file_rows, updated_at.

as_of_date	geography_type	geoid	provider_count	fiber_provider_count	cable_provider_count	fixed_wireless_provider_count	provider_100_20_count	business_provider_count	max_advertised_download_mbps	max_advertised_upload_mbps	matched_location_rows
2025-12-31	County	01069	11	8	4	4	11	11	100000.0	100000.0	273014
2025-12-31	County	01071	9	7	2	4	9	9	10000.0	10000.0	88104
2025-12-31	County	01073	16	11	2	4	15	15	100000.0	100000.0	1123613
2025-12-31	County	01089	15	12	4	4	14	15	100000.0	100000.0	810226
2025-12-31	County	04003	15	5	2	12	12	14	2300.0	2300.0	280879
2025-12-31	County	04013	42	25	5	21	40	38	1000000.0	1000000.0	8603178
2025-12-31	County	04019	28	9	3	18	24	23	100000.0	100000.0	2323405
2025-12-31	County	05119	20	11	5	6	19	19	100000.0	100000.0	694836
2025-12-31	County	05145	20	11	5	10	17	19	10000.0	10000.0	124592
2025-12-31	County	06001	25	11	1	16	24	23	100000.0	100000.0	2476379

32. `fcc_bdc_broadband_connection_table`

Sampled actual table: public.data_center_broadband_connection.

Estimated rows: 1,833. Columns: 48. Ordering: master_id.

Showing 12 of 48 columns. Omitted columns include: source, operator, city, country, longitude, latitude, geom, fcc_bdc_as_of_date, fcc_bdc_geography_type, fcc_bdc_geoid, fcc_provider_count, fcc_fiber_provider_count, fcc_cable_provider_count, fcc_fixed_wireless_provider_count, fcc_max_advertised_download_mbps, fcc_max_advertised_upload_mbps, fcc_100_20_provider_count, fcc_summary_json, fetched_at, updated_at....

master_id	name	state	census_tract_geoid	census_broadband_subscription_pct	fcc_bdc_status	fcc_provider_geography_type	fcc_county_provider_count	fcc_tract_provider_count	fcc_tract_fiber_provider_count	fcc_tract_business_provider_count	fcc_tract_max_advertised_download_mbps
curated/0002744301	Verizon	NJ	34023000702	95.6	fcc_location_provider_joined	Tract	13	7	4	7	10000.0
curated/0007805491	Discover Financial Services New Albany	OH	39049007205	98.9	fcc_location_provider_joined	Tract	26	5	2	5	5000.0
curated/0009474864	Google Data Center	NC	37027030300	80.8	fcc_location_provider_joined	Tract	10	8	4	8	5000.0
curated/0013924557	Project Alluvion	IA	19153011028	94.9	fcc_location_provider_joined	Tract	26	11	7	9	10000.0
curated/0014271367e0e039e1b1b386315f6581	Newton (Atlanta) Data Center	GA	13297110801	87.7	fcc_location_provider_joined	Tract	9	6	4	6	5000.0
curated/0014593270	Apple - Maiden Data Center	NC	37035011702	79.5	fcc_location_provider_joined	Tract	15	7	2	7	5000.0
curated/0014930068	HPC (880)	NM	35001980000	96.0	fcc_location_provider_joined	Tract	21	9	0	8	2000.0
curated/0014997588	Meta Henrico Data Center	VA	51087201404	90.3	fcc_location_provider_joined	Tract	7	5	3	5	16000.0
curated/0015884451	Barclays Datacenter	NJ	34039037300	93.0	fcc_location_provider_joined	Tract	8	5	3	5	10000.0
curated/0016282459	CyberNAP Glen Burnie	MD	24003730404	91.8	fcc_location_provider_joined	Tract	15	6	2	6	2300.0

33. `opposition_cases_geocoded`

Estimated rows: 18. Columns: 15. Ordering: database scan order.

Showing 12 of 15 columns. Omitted columns include: opposition_type, data_source, geom.

id	state	location	state_id	lat	lon	investment_billion	status	developer	commons_type	governance_response	outcome
1	AZ	Goodyear-Buckeye	4	33.45	-112.39	14.0	Blocked	Tract	Water+Grid	Zoning denial	Withdrawn then relocated
2	MO	Peculiar	29	38.72	-94.46	1.5	Blocked	Diode Ventures	Land+Water	Zoning amendment	Prohibited by ordinance
3	IN	Chesterton	18	41.61	-87.06	1.3	Blocked	Provident Realty	Water+Air+Wildlife	Council withdrawal	Developer withdrew
4	VA	Richmond/Henrico	51	37.51	-77.33	0.5	Blocked	DC Blox	Noise+Aesthetics	Deferral then withdrawal	Developer withdrew; revised smaller
5	VA	Catlett Station/Fauquier	51	38.65	-77.64	0.4	Blocked	Headwaters Dev	Noise+Water+Power+Environment	Pre-hearing withdrawal	Developer withdrew before hearing
6	OR	Cascade Locks	41	45.67	-121.87	0.1	Blocked	Roundhouse Digital	Grid rates+Credibility	Recall election	Officials recalled; Port Authority stopped
7	VA	Prince William	51	38.7	-77.48	24.7	Delayed	QTS+Compass	Environment+Noise+Grid+Historic	Litigation	3 lawsuits active; one dismissed+appealed
8	VA	Culpeper	51	38.47	-77.99	12.0	Delayed	Culpeper Acquisitions	Land preservation+Historic	Planning denial	Unanimous denial; Board deferred
9	VA	King George	51	38.27	-77.15	6.0	Delayed	Amazon	Infrastructure+Resources	Political reversal	Renegotiation; rezoning reconsidered
10	VA	Midlothian/Powhatan	51	37.44	-77.81	3.0	Delayed	Province Group	Noise+Traffic+Environment	Deferred then approved	Approved 3-2 despite opposition; utility delay

34. `census_tract_huc8_link`

Estimated rows: 806. Columns: 5. Ordering: database scan order.

geoid	huc8	overlap_sqm	overlap_sqkm	tract_overlap_pct
26163581600	04090004	4049402.7790175527	4.049402779017552	0.9999999999919172
18097352300	05120201	2405395.5570320487	2.405395557032049	1.0000000000003517
36029009200	04120104	5329322.178747755	5.329322178747755	1.0000000000042821
04013113100	15060106	1304588.2283894438	1.3045882283894439	1.0000000000020903
06085505007	18050003	3029721.5568704605	3.0297215568704603	1.0000000000049134
04013422514	15050100	1122663.8417252041	1.1226638417252042	0.45491211388156216
04013422514	15060106	1345205.8969148104	1.3452058969148104	0.5450878842156984
51059460503	02070008	32892.9460603483	0.0328929460603483	0.022607669336869043
51059460503	02070010	1422053.3794437945	1.4220533794437944	0.9773923114961641
12057011611	03100206	5641554.468745705	5.641554468745705	1.0000000000018656

35. `im3_state_projected_moderate_50`

Estimated rows: 328. Columns: 19. Ordering: database scan order.

Showing 12 of 19 columns. Omitted columns include: water_cooling_frac, cooling_energy_demand_mwh, cooling_water_demand_mgy, cooling_water_consumption_mgy, normalized_locational_cost, normalized_gravity_score, weighted_siting_score.

id	state_code	growth_scenario	market_gravity_weight	region	state_id	total_cost_million_usd	campus_size_square_ft	data_center_it_power_mw	mechanical_cooling_frac
1_0	AL	moderate	50	alabama	1	522.04	1000000	36	0.0
1_1	AL	moderate	50	alabama	1	501.9	1000000	36	0.0
1_2	AL	moderate	50	alabama	1	526.54	1000000	36	0.0
4_0	AZ	moderate	50	arizona	4	499.47	1000000	36	0.0
4_1	AZ	moderate	50	arizona	4	499.47	1000000	36	0.0
4_10	AZ	moderate	50	arizona	4	517.41	1000000	36	1.0
4_11	AZ	moderate	50	arizona	4	517.41	1000000	36	1.0
4_12	AZ	moderate	50	arizona	4	515.52	1000000	36	0.75
4_13	AZ	moderate	50	arizona	4	515.52	1000000	36	0.75
4_2	AZ	moderate	50	arizona	4	499.47	1000000	36	0.0

36. `im3_projected_state_demand_summary`

Estimated rows: 31. Columns: 13. Ordering: database scan order.

Showing 12 of 13 columns. Omitted columns include: market_gravity_weight.

state	state_id	projected_facility_count	total_cost_million_usd	total_it_power_mw	total_campus_area_sqft	total_cooling_energy_demand_mwh	total_cooling_water_demand_mgy	total_cooling_water_consumption_mgy	avg_mechanical_cooling_fraction	avg_water_cooling_fraction	scenario
ALABAMA	1	3	1550.48	108.0	3000000	0.0	130.56	104.45	0.0	1.0	moderate
ARIZONA	4	14	7134.93	504.0	14000000	685908.0	293.76	235.01	0.518	0.482	moderate
CALIFORNIA	6	21	10882.16	756.0	21000000	0.0	913.91	731.13	0.0	1.0	moderate
COLORADO	8	3	1502.28	108.0	3000000	141912.0	65.28	52.22	0.5	0.5	moderate
FLORIDA	12	3	1499.31	108.0	3000000	283824.0	0.0	0.0	1.0	0.0	moderate
GEORGIA	13	14	7094.73	504.0	14000000	0.0	609.28	487.42	0.0	1.0	moderate
ILLINOIS	17	16	7940.21	576.0	16000000	0.0	696.31	557.05	0.0	1.0	moderate
IOWA	19	14	6884.15	504.0	14000000	0.0	609.28	487.42	0.0	1.0	moderate
KENTUCKY	21	3	1471.14	108.0	3000000	0.0	130.56	104.45	0.0	1.0	moderate
MASSACHUSETTS	25	2	994.64	72.0	2000000	0.0	87.04	69.63	0.0	1.0	moderate

37. `utility_rate_tracker_2025_2028`

Estimated rows: 374. Columns: 14. Ordering: database scan order.

Showing 12 of 14 columns. Omitted columns include: status, source_file.

state_code	utility_provider	state_name	state_id	service_type	customer_count	total_revenue_increase_2025_2028	time_period	monthly_increase_amount	monthly_pct_increase_ratio	effective_date	effective_date_raw
IN	AES Indiana	Indiana	18	Electricity	530802.0	201979178.0	Increase in annual revenue	10.0	0.0335	2026-06-01T00:00:00	2026-06-01 00:00:00
OH	AES Ohio	Ohio	39	Electricity	540836.0	529465023.41	Increase in annual revenue	15.28	0.09	2025-11-06T00:00:00	2025-11-06 00:00:00
OH	AES Ohio	Ohio	39	Electricity	540836.0	211350000.0	January 1, 2027 - December 31, 2029	11.47	0.0613	2027-01-01T00:00:00	2027-01-01 00:00:00
AL	Alabama Power Company	Alabama	01	Electricity	1546483.0			3.32		2028-01-01T00:00:00	2028
IL	Ameren Illinois	Illinois	17	Electricity	1224108.0	673366000.0	January 1, 2025 - December 31, 2027			2025-01-01T00:00:00	2025-01-01 00:00:00
IL	Ameren Illinois	Illinois	17	Natural Gas	802310.0	218844000.0	Increase in annual revenue			2026-01-01T00:00:00	2026-01-01 00:00:00
MO	Ameren Missouri	Missouri	29	Electricity	1264469.0	1273136986.0	Increase in annual revenue			2025-06-01T00:00:00	2025-06-01 00:00:00
MO	Ameren Missouri	Missouri	29	Natural Gas	136274.0	105028767.0	Increase in annual revenue	13.0	0.12	2025-09-01T00:00:00	2025-09-01 00:00:00
TN	Appalachian Power	Tennessee	47	Electricity	49489.0	13006129.0	September 2025 - August 2027	2.99		2025-09-01T00:00:00	2025-09-01 00:00:00
WV	Appalachian Power	West Virginia	54	Electricity	418138.0	247689863.0	Increase in annual revenue			2025-09-29T00:00:00	2025-09-29 00:00:00

38. `energy_atlas_layers_catalog`

Estimated rows: 0. Columns: 8. Ordering: table_name.

table_name	source_item_id	source_type	source_title	source_owner	source_url	category	imported_at
energy_eia_electricity_operating_generator_capacity	electricity_operating-generator-capacity	EIA API	operating-generator-capacity	U.S. Energy Information Administration	https://api.eia.gov/v2/electricity/operating-generator-capacity	power_plants	2026-05-25T10:49:29.577662+00:00
energy_eia_seds	seds	EIA API	seds	U.S. Energy Information Administration	https://api.eia.gov/v2/seds	state_energy	2026-05-25T11:16:25.100722+00:00

39. `legiscan_sessions`

Estimated rows: 646. Columns: 14. Ordering: session_id.

Showing 12 of 14 columns. Omitted columns include: bill_count, imported_at.

session_id	state_id	state_abbr	year_start	year_end	session_title	session_tag	is_special	is_prior	dataset_hash	dataset_date	dataset_size_mb
1161	17	KY	2016	2016	2016 Regular Session	Regular Session	False	True	b4e38f344e60236669dbdd690d13af16	2021-12-31	2.83556
1164	41	SD	2016	2016	2016 Regular Session	Regular Session	False	True	0a8b763b54e5dd488be5a1b3fb734baa	2021-12-31	1.935084
1168	48	WV	2016	2016	2016 Regular Session	Regular Session	False	True	6f937790ca345729d2b96dbd0b7b56d8	2021-12-31	4.768601
1169	9	FL	2016	2016	2016 Regular Session	Regular Session	False	True	6459a5c03d80799db88fc81f57fcc7e2	2021-12-31	4.00847
1170	34	ND	2017	2018	2017-2018 Regular Session	Regular Session	False	True	93c768b8ca89afcc365010abd0ceeb2c	2021-12-31	2.815085
1171	36	OK	2016	2016	2016 Regular Session	Regular Session	False	True	b93a03306038b9fbebe2ae3db73a6254	2021-12-31	9.760202
1172	1	AL	2016	2016	2016 Regular Session	Regular Session	False	True	e800c0b0cdea4446e6a9ef36040ac9ba	2021-12-31	3.003159
1180	44	UT	2016	2016	2016 Regular Session	Regular Session	False	True	7b12b1a2effde90d73d81bd62e2d36c6	2021-12-31	3.234579
1187	46	VA	2016	2016	2016 Regular Session	Regular Session	False	True	48a324f85c12c45e250a3ac0ed4d1959	2021-12-31	10.107357
1188	3	AZ	2016	2016	2016 Regular Session	Regular Session	False	True	748c6048c5e630c61254b2823e3007b4	2021-12-31	4.386376

40. `legiscan_bills`

Estimated rows: 1,263,868. Columns: 21. Ordering: bill_id.

Showing 12 of 21 columns. Omitted columns include: session_id, description, state_link, change_hash, subjects, sponsor_count, vote_count, text_count, imported_at.

bill_id	state	bill_number	bill_type	title	status	status_date	completed	body	is_relevant	url
777770	KY	HB11	B	AN ACT relating to service animals.	1	2016-01-05	0	H	False	https://legiscan.com/KY/bill/HB11/2016
780574	KY	HB70	B	AN ACT proposing an amendment to Section 145 of the Constitution of Kentucky relating to persons entitled to vote.	2	2016-02-05	0	H	False	https://legiscan.com/KY/bill/HB70/2016
780667	KY	HB40	B	AN ACT relating to criminal records.	4	2016-04-12	1	H	False	https://legiscan.com/KY/bill/HB40/2016
783555	KY	HB12	B	AN ACT relating to problem, compulsive, or pathological gambling and making an appropriation therefor.	1	2016-01-05	0	H	False	https://legiscan.com/KY/bill/HB12/2016
783597	KY	SB11	B	AN ACT relating to alcoholic beverages.	4	2016-04-09	1	S	False	https://legiscan.com/KY/bill/SB11/2016
784891	KY	SB12	B	AN ACT relating to the extended hours supplemental license.	2	2016-01-15	0	S	False	https://legiscan.com/KY/bill/SB12/2016
784982	KY	HB13	B	AN ACT relating to driving under the influence and declaring an emergency.	1	2016-01-05	0	H	False	https://legiscan.com/KY/bill/HB13/2016
786510	KY	SR13	R	Adjourn the Senate in honor and loving memory of Colonel Walker Russell "Russ" Reynolds.	4	2016-04-15	0	S	False	https://legiscan.com/KY/bill/SR13/2016
786515	KY	SR12	R	Adjourn in honor and loving memory of Mary Alice Willett Higdon.	4	2016-04-15	0	S	False	https://legiscan.com/KY/bill/SR12/2016
786520	KY	SR11	R	A RESOLUTION honoring Wilbur M. Zevely upon his recognition by the Northern Kentucky Bar Foundation with its Lifetime...	0		0	S	False	https://legiscan.com/KY/bill/SR11/2016

82 KiB Raw Blame History

Database Table Heads

01. master_data_centers

02. us_dc_sample_geocoded

03. osm_data_centers

04. master_data_center_spatial_clusters

05. data_center_census_tracts_2024

06. data_center_watershed_huc8

07. data_center_nri_exposure

08. data_center_historical_climate

09. data_center_usdm_drought_exposure

10. data_center_hms_smoke_exposure

11. data_center_election_context

12. data_center_rdh_precinct_vote_matches

13. usdm_drought_weekly

14. data_center_usdm_drought_dc_week

15. hms_smoke_days

16. hms_smoke_daily

17. data_center_hms_smoke_dc_day

18. rdh_precinct_vote_layers

19. rdh_precinct_vote_features

20. _dc_census_tract_acs_2024

21. _dc_census_tract_boundaries_2024

22. ruca_codes_2020_tract

23. watershed_huc8

24. nri_census_tracts

25. energy_eia_operating_generator_capacity_flat

26. energy_eia_facility_fuel_flat

27. energy_eia_seds_flat

28. internet_cables

29. internet_cable_landing_points

30. internet_city_dominance

31. fcc_bdc_location_provider_aggregates

32. fcc_bdc_broadband_connection_table

33. opposition_cases_geocoded

34. census_tract_huc8_link

35. im3_state_projected_moderate_50

36. im3_projected_state_demand_summary

37. utility_rate_tracker_2025_2028

38. energy_atlas_layers_catalog

39. legiscan_sessions

40. legiscan_bills