US facility GHG emissions, annual

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Le jeu complet n’est pas encore publié — revenez après la prochaine actualisation.Télécharger l'exemple CSV Télécharger l'exemple JSONLignes d’exemple seulement (jusqu’à 20) — pas le jeu de données complet.

Annual US facility-level greenhouse-gas emissions intelligence, 2010 onward: every GHGRP-reporting facility's yearly emissions in tonnes of CO2 equivalent (EPA Envirofacts, keyless), split into CO2 / methane / nitrous oxide / fluorinated-gas groups with biogenic CO2 reported separately per EPA convention, plus the primary industry category, facility location and NAICS. Carries the facility's share of the national reported total, year-on-year change, 3-year CAGR, within-state rank and a mega-emitter flag (>= 1 Mt CO2e). One row per facility x year; negative emissions and duplicate fact rows fail loudly, never imputed. Who joins this: ESG teams join on county_fips + year for scope-1 exposure and transition-risk screens; commodity analysts watch refinery/power totals as a carbon-cost proxy; lenders underwrite industrial borrowers on the emissions trajectory.

Les titres et les descriptions proviennent des sources de données, en anglais.

Source: EPA GHGRP Facility GHG Emissions Intelligence (keyless)
Lignes: 107 367
Colonnes: 26
Cadence de la source: Annuelle
Dernière actualisation: 30 sept. 2026
Thème: climate

Colonne	Type	Description
year	integer	GHGRP reporting year (2010 onward, annual). (unit: year)
facility_id	string	EPA GHGRP facility identifier (verbatim). (unit: string)
facility_name	string	Reporting facility name (verbatim, facility dimension). (unit: string)
city	string	Facility city (verbatim). (unit: string)
state	string	Facility state postal abbreviation (verbatim). (unit: string)
state_name	string	Facility state full name (verbatim). (unit: string)
county	string	Facility county name (verbatim). (unit: string)
county_fips	string	Facility county FIPS code (verbatim). (unit: string)
latitude	float	Facility latitude, decimal degrees (verbatim). (unit: decimal degrees)
longitude	float	Facility longitude, decimal degrees (verbatim). (unit: decimal degrees)
naics_code	string	Facility primary NAICS code (verbatim; may be null). (unit: string)
industry_category	string	Industry category of the GHGRP subpart contributing the most CO2e for this facility-year (e.g. Stationary Combustion, Petroleum Refining). (unit: string)
total_co2e_t	float	Total reported emissions, metric tonnes CO2 equivalent; biogenic CO2 excluded per EPA convention. (unit: tonnes CO2e)
co2_t	float	Reported carbon dioxide, metric tonnes (CO2 rows equal CO2e by definition). (unit: tonnes)
ch4_co2e_t	float	Reported methane, metric tonnes CO2 equivalent. (unit: tonnes CO2e)
n2o_co2e_t	float	Reported nitrous oxide, metric tonnes CO2 equivalent. (unit: tonnes CO2e)
fgas_co2e_t	float	Reported fluorinated GHGs (HFC, PFC, SF6, NF3, HFE and others), metric tonnes CO2 equivalent. (unit: tonnes CO2e)
biogenic_co2_t	float	Reported biogenic CO2, metric tonnes; carried separately and excluded from total_co2e_t per EPA convention. (unit: tonnes)
share_us_co2e_pct	float	Facility share of the national GHGRP reported total that year, percent. (unit: percent)
yoy_pct	float	Year-on-year percent change of total_co2e_t (null for a facility's first reporting year). (unit: percent)
cagr_3y_pct	float	3-year compound annual growth rate of total_co2e_t, percent (null until 4 consecutive reporting years). (unit: percent)
state_rank	integer	Within-state rank by total_co2e_t for the year (1 = largest emitter in the state). (unit: rank)
mega_emitter_flag	integer	1 when total_co2e_t is at least 1,000,000 tonnes (documented fixed cut), else 0. (unit: flag)
country	string	Country name (shared normalization layer). (unit: string)
country_code	string	ISO 3166-1 alpha-3 country code (USA). (unit: string)
row_hash	string	Deterministic 16-hex sha256 of facility_id + year + total level (idempotency key). (unit: string)

10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.

year	facility_id	facility_name	city	state	state_name	county	county_fips	latitude	longitude	naics_code	industry_category	total_co2e_t	co2_t	ch4_co2e_t	n2o_co2e_t	share_us_co2e_pct	yoy_pct	cagr_3y_pct	state_rank	country	country_code	row_hash
2 010	1000001	PSE Ferndale Generating Station	FERNDALE	WA	Washington	WHATCOM COUNTY	53073	48,829	-122,686	221112	Stationary Combustion	293 290,944	292 987,9	138,25	164,794	0,009	—	—	14	United States	USA	0104170fb97a7bb7
2 011	1000001	PSE Ferndale Generating Station	FERNDALE	WA	Washington	WHATCOM COUNTY	53073	48,829	-122,686	221112	Stationary Combustion	35 878,164	35 840,9	17	20,264	0,001	-87,767	—	65	United States	USA	50f9d71ee7278c88
2 012	1000001	PSE Ferndale Generating Station	FERNDALE	WA	Washington	WHATCOM COUNTY	53073	48,829	-122,686	221112	Electricity Generation	14 719,108	14 310,3	186,5	222,308	0	-58,975	—	81	United States	USA	8f8f74e9cd93c70b
2 013	1000001	PSE Ferndale Generating Station	FERNDALE	WA	Washington	WHATCOM COUNTY	53073	48,829	-122,686	221112	Electricity Generation	395 314,784	394 913,1	183,25	218,434	0,012	2 585,725	10,462	12	United States	USA	8c2746c356aadc08
2 014	1000001	PSE Ferndale Generating Station	FERNDALE	WA	Washington	WHATCOM COUNTY	53073	48,829	-122,686	221112	Electricity Generation	333 193,564	332 854,9	154,5	184,164	0,01	-15,714	110,195	15	United States	USA	0717776f0dc13d88
2 015	1000001	PSE Ferndale Generating Station	FERNDALE	WA	Washington	WHATCOM COUNTY	53073	48,829	-122,686	221112	Electricity Generation	405 725,952	405 315,5	187,25	223,202	0,013	21,769	202,077	14	United States	USA	4adb85cfbd450301
2 016	1000001	PSE Ferndale Generating Station	FERNDALE	WA	Washington	WHATCOM COUNTY	53073	48,829	-122,686	221112	Electricity Generation	354 145,488	353 786	164	195,488	0,012	-12,713	-3,599	13	United States	USA	a448cd187a9428ae
2 017	1000001	PSE Ferndale Generating Station	FERNDALE	WA	Washington	WHATCOM COUNTY	53073	48,829	-122,686	221112	Electricity Generation	350 890,1	350 533,9	162,5	193,7	0,012	-0,919	1,74	14	United States	USA	6aaa1e48f265ad0e
2 018	1000001	PSE Ferndale Generating Station	FERNDALE	WA	Washington	WHATCOM COUNTY	53073	48,829	-122,686	221112	Electricity Generation	302 529,48	302 222,6	140	166,88	0,01	-13,782	-9,32	13	United States	USA	7e5ec131c5174097
2 019	1000001	PSE Ferndale Generating Station	FERNDALE	WA	Washington	WHATCOM COUNTY	53073	48,829	-122,686	221112	Electricity Generation	478 279,876	477 793,8	221,75	264,326	0,017	58,094	10,535	13	United States	USA	851e7634c33d626d

Profilé le 1 oct. 2026 à partir de l’instantané 20260930T170626Z-b6a973c39aa4

Mesuré

Complétude: 98,5 %
Lignes: 107 367
Colonnes: 26
Colonnes incomplètes: 2

Lignes par annéeyear · 2010–2023 · 14 ans

20102023

Colonne	Manquant	Distinctes	Plage	Distribution
yearbigint	0 %	16	2 010 → 2 023médiane 2 016
facility_idvarchar	0 %	9 721	—	100000114 100000214 100000314
facility_namevarchar	0 %	12 728	—	Darling Ingredients Inc.66 EVONIK CORPORATION63 TYSON FRESH MEATS INC55
cityvarchar	0 %	4 589	—	Houston2 534 Offshore1 513 Denver941
statevarchar	0 %	60	—	TX16 431 CA6 500 LA5 662
state_namevarchar	0 %	62	—	Texas16 431 California6 500 Louisiana5 662
countyvarchar	0 %	4 009	—	None7 634 HARRIS COUNTY2 137 JEFFERSON COUNTY1 251
county_fipsvarchar	0 %	1 959	—	None7 649 482012 414 06037984
latitudedouble	0 %	14 637	13,3 → 71,29médiane 37,5	2 144 hors du 1er–99e centile
longitudedouble	0 %	12 754	-174,11 → 144,89médiane -91,4	2 134 hors du 1er–99e centile
naics_codevarchar	0 %	361	—	22111218 872 56221216 346 4862109 612
industry_categoryvarchar	0 %	35	—	Stationary Combustion50 838 Municipal Landfills16 297 Electricity Generation16 038
total_co2e_tdouble	0 %	99 110	-16 815 → 22 985 003médiane 64 533	2 148 hors du 1er–99e centile
co2_tdouble	0 %	96 228	-16 815 → 22 800 875médiane 41 171	1 076 hors du 1er–99e centile
ch4_co2e_tdouble	0 %	42 394	-1 362 → 5 845 810médiane 869,33	1 075 hors du 1er–99e centile
n2o_co2e_tdouble	0 %	16 193	0 → 10 443 650médiane 26,22	1 074 hors du 1er–99e centile
fgas_co2e_tdouble	0 %	2 580	-12 989 → 5 970 377médiane 0	1 076 hors du 1er–99e centile
biogenic_co2_tdouble	0 %	7 639	0 → 2 645 831médiane 0	1 074 hors du 1er–99e centile
share_us_co2e_pctdouble	0 %	113 661	-0,0006 → 0,805médiane 0,0022	2 132 hors du 1er–99e centile
yoy_pctdouble	10,2 %	97 210	-114 246 → 75 238 886médiane -0,5677	1 928 hors du 1er–99e centile
cagr_3y_pctdouble	28,8 %	82 803	-100 → 8 968médiane -0,6983	1 528 hors du 1er–99e centile
state_rankbigint	0 %	1 640	1 → 1 337médiane 94	1 826 hors du 1er–99e centile
mega_emitter_flagbigint	0 %	2	0 → 1médiane 0
countryvarchar	0 %	1	—	United States107 367
country_codevarchar	0 %	1	—	USA107 367
row_hashvarchar	0 %	103 238	—	000065d696842bed1 000118b60f5355bc1 0001be12a509035e1

Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/epa_ghgrp_emissions_intel/us_facility_ghg_annual" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/epa_ghgrp_emissions_intel/us_facility_ghg_annual").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

Point d’accès API : https://datazimuts.com/v1/datasets/epa_ghgrp_emissions_intel/us_facility_ghg_annual

Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.

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APA

EPA GHGRP Facility GHG Emissions Intelligence (keyless). (2026). US facility GHG emissions, annual [Data set, snapshot 20260930T170626Z-b6a973c39aa4, sha256 b6a973c39aa4]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/fr/datasets/epa_ghgrp_emissions_intel/us_facility_ghg_annual?snapshot=20260930T170626Z-b6a973c39aa4

BibTeX

@misc{dz_epa_ghgrp_emissions_intel_us_facility_gh_b6a973c3,
  title        = {{US facility GHG emissions, annual}},
  author       = {{EPA GHGRP Facility GHG Emissions Intelligence (keyless)}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/fr/datasets/epa_ghgrp_emissions_intel/us_facility_ghg_annual?snapshot=20260930T170626Z-b6a973c39aa4}},
  note         = {Snapshot 20260930T170626Z-b6a973c39aa4, sha256 b6a973c39aa4171ed2c750040948b9306a040fbb91ee70090de6fa0711476148; accessed 2026-10-01}
}

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