US facility GHG emissions, annual

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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.

Source: EPA GHGRP Facility GHG Emissions Intelligence (keyless)
Rows: 107,367
Columns: 26
Source cadence: Yearly
Last refreshed: Sep 30, 2026
Theme: climate

Column	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)

First 10 sample rows — a preview, not the complete dataset.

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

Profiled Oct 1, 2026 from snapshot 20260930T170626Z-b6a973c39aa4

Measured

Completeness: 98.5%
Rows: 107,367
Columns: 26
Columns with gaps: 2

Rows per yearyear · 2010–2023 · 14 years

20102023

Column	Missing	Distinct	Range	Distribution
yearbigint	0%	16	2,010 → 2,023median 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 → 71.29median 37.5	2,144 outside 1st–99th percentile
longitudedouble	0%	12,754	-174.11 → 144.89median -91.4	2,134 outside 1st–99th percentile
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 → 22,985,003median 64,533	2,148 outside 1st–99th percentile
co2_tdouble	0%	96,228	-16,815 → 22,800,875median 41,171	1,076 outside 1st–99th percentile
ch4_co2e_tdouble	0%	42,394	-1,362 → 5,845,810median 869.33	1,075 outside 1st–99th percentile
n2o_co2e_tdouble	0%	16,193	0 → 10,443,650median 26.22	1,074 outside 1st–99th percentile
fgas_co2e_tdouble	0%	2,580	-12,989 → 5,970,377median 0	1,076 outside 1st–99th percentile
biogenic_co2_tdouble	0%	7,639	0 → 2,645,831median 0	1,074 outside 1st–99th percentile
share_us_co2e_pctdouble	0%	113,661	-0.0006 → 0.805median 0.0022	2,132 outside 1st–99th percentile
yoy_pctdouble	10.2%	97,210	-114,246 → 75,238,886median -0.5677	1,928 outside 1st–99th percentile
cagr_3y_pctdouble	28.8%	82,803	-100 → 8,968median -0.6983	1,528 outside 1st–99th percentile
state_rankbigint	0%	1,640	1 → 1,337median 94	1,826 outside 1st–99th percentile
mega_emitter_flagbigint	0%	2	0 → 1median 0
countryvarchar	0%	1	—	United States107,367
country_codevarchar	0%	1	—	USA107,367
row_hashvarchar	0%	103,238	—	000065d696842bed1 000118b60f5355bc1 0001be12a509035e1

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (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)

API endpoint: https://datazimuts.com/v1/datasets/epa_ghgrp_emissions_intel/us_facility_ghg_annual

Tip: fetch /llms.txt for the full machine-readable catalog.

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Pinned to snapshot 20260930T170626Z-b6a973c39aa4 and its content hash, so readers get exactly the data you used.

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/en/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/en/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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US facility GHG emissions, annual

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