US power-plant generator capacity inventory (annual)

Commercial use OKFresh

The full snapshot isn't published yet — check back after the next refresh.Download sample CSV Download sample JSONSample rows only (up to 20) — not the complete dataset.

Annual US generator capacity inventory from Form EIA-860 (2025 vintage): one row per generator across operable, proposed and retired lifecycle stages, with plant coordinates, technology, prime mover, canonical fuel groups, nameplate/summer/winter capacity, operating vintage and age, planned retirements, planned online dates for the build pipeline, and storage flags. U.S. EIA public domain (commercial reuse allowed); fuel-group mapping, ages, flags and hashes computed by the Datazimuts connector.

Source: EIA-860 US generator capacity inventory intelligence
Rows: 36,573
Columns: 32
Source cadence: Yearly
Last refreshed: Oct 1, 2026
Theme: energy

Column	Type	Description
plant_id	integer	Stable EIA plant identifier (join key to the plant file).
plant_name	string	Plant name as reported on the generator tab.
operator_name	string	Utility/operator name as reported (Utility Name).
state	string	USPS state abbreviation of the plant.
county	string	County of the plant.
latitude	float	Plant latitude (decimal degrees, from the EIA-860 plant file). (unit: degrees)
longitude	float	Plant longitude (decimal degrees, from the EIA-860 plant file). (unit: degrees)
nerc_region	string	NERC reliability region of the plant.
generator_id	string	Generator identifier within the plant (unique per plant within a lifecycle stage).
lifecycle_stage	string	operable = operating/standby/out-of-service; proposed = planned/under construction/in approvals; retired = retired or canceled units reported in the 2025 cycle (not a comprehensive historical retirement record).
status	string	Raw EIA generator status code (e.g. OP operating, SB standby, OS out of service, P planned, U/V under construction, L/T in approvals, RE retired, CN canceled).
technology	string	EIA generator technology (e.g. Solar Photovoltaic, Natural Gas Fired Combined Cycle, Batteries).
prime_mover	string	EIA prime mover code (e.g. CT, CC, ST, HY, WT, PV, BA).
energy_source_1	string	Primary EIA energy-source code (verbatim).
energy_source_2	string	Secondary EIA energy-source code, when reported.
fuel_group	string	Canonical fuel group mapped from energy_source_1: coal, natural_gas, nuclear, hydro, wind, solar, geothermal, petroleum, biomass_waste, other_gases, other, storage. Pumped-storage hydro maps to hydro and is additionally flagged via is_storage.
is_storage	integer	1 when the generator is energy storage: Batteries/Flywheels technology, MWH energy source, or Hydroelectric Pumped Storage.
nameplate_capacity_mw	float	Generator nameplate capacity. (unit: MW)
summer_capacity_mw	float	Net summer capacity. (unit: MW)
winter_capacity_mw	float	Net winter capacity. (unit: MW)
operating_year	integer	Year the generator entered service; null for proposed units.
generator_age_years	float	2025 minus operating_year; null for proposed units. (unit: years)
age_bucket	string	Age bucket: <10, 10-19, 20-29, 30-39, 40+; null for proposed.
retirement_horizon	string	Vintage-relative planned-retirement horizon for operable units, derived from the operator-reported planned retirement year: within_3y / 4_6y / 7y_plus / none_planned. The raw year is 98%+ null fleet-wide, so it is published as this never-null bucket.
planned_online_year	integer	Planned online year from the Proposed tab's Effective Year (proposed stage only).
retirement_year	integer	Year the generator retired (retired stage only).
sector_name	string	EIA sector name (e.g. Electric Utility, IPP Non-CHP).
ownership	string	Ownership code (S = single owner, J = joint, W = wholly owned by another entity).
country_code	string	ISO alpha-3 country code (USA for all rows).
as_of	string	Data vintage (2025-12-31); pinned so identical re-fetches hash identically.
source_retrieved	string	Source data vintage, same as as_of.
row_hash	string	Deterministic content fingerprint: 'h' + 15 hex chars of SHA-256 over the row's content fields (the leading letter keeps machine-identifier hashes out of phone-number screens).

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

plant_id	plant_name	operator_name	state	county	latitude	longitude	nerc_region	generator_id	lifecycle_stage	status	technology	prime_mover	energy_source_1	energy_source_2	fuel_group	nameplate_capacity_mw	summer_capacity_mw	winter_capacity_mw	operating_year	generator_age_years	age_bucket	retirement_horizon	planned_online_year	retirement_year	sector_name	ownership	country_code	as_of	source_retrieved	row_hash
1	Sand Point	Sand Point Generating, LLC	AK	Aleutians East	55.34	-160.497	—	1	operable	SB	Petroleum Liquids	IC	DFO	—	petroleum	0.9	0.4	0.4	2,000	25	20-29	none_planned	—	—	Electric Utility	S	USA	2025-12-31	2025-12-31	hbabfc46c35152e2
1	Sand Point	Sand Point Generating, LLC	AK	Aleutians East	55.34	-160.497	—	2	operable	OP	Petroleum Liquids	IC	DFO	—	petroleum	0.9	0.3	0.3	2,000	25	20-29	none_planned	—	—	Electric Utility	S	USA	2025-12-31	2025-12-31	hdda88d95ebad95d
1	Sand Point	Sand Point Generating, LLC	AK	Aleutians East	55.34	-160.497	—	3	operable	OP	Petroleum Liquids	IC	DFO	—	petroleum	0.5	0.3	0.3	2,010	15	10-19	none_planned	—	—	Electric Utility	S	USA	2025-12-31	2025-12-31	h6b7f5232337151d
1	Sand Point	Sand Point Generating, LLC	AK	Aleutians East	55.34	-160.497	—	5.1	operable	OP	Petroleum Liquids	IC	DFO	—	petroleum	0.4	0.3	0.3	2,023	2	<10	none_planned	—	—	Electric Utility	S	USA	2025-12-31	2025-12-31	h04894cf8a9c9d4d
1	Sand Point	Sand Point Generating, LLC	AK	Aleutians East	55.34	-160.497	—	WT1	operable	OS	Onshore Wind Turbine	WT	WND	—	wind	0.5	0.1	0.1	2,011	14	10-19	none_planned	—	—	Electric Utility	S	USA	2025-12-31	2025-12-31	h6a5ff2f55fac888
1	Sand Point	Sand Point Generating, LLC	AK	Aleutians East	55.34	-160.497	—	WT2	operable	OS	Onshore Wind Turbine	WT	WND	—	wind	0.5	0.3	0.3	2,011	14	10-19	none_planned	—	—	Electric Utility	S	USA	2025-12-31	2025-12-31	hd206b7aab943f59
2	Bankhead Dam	Alabama Power Co	AL	Tuscaloosa	33.459	-87.357	SERC	1	operable	OP	Conventional Hydroelectric	HY	WAT	—	hydro	53.9	53	53	1,963	62	40+	none_planned	—	—	Electric Utility	S	USA	2025-12-31	2025-12-31	h9548b187af640f8
3	Barry	Alabama Power Co	AL	Mobile	31.007	-88.01	SERC	1	operable	OP	Natural Gas Steam Turbine	ST	NG	—	natural_gas	153.1	80	80	1,954	71	40+	none_planned	—	—	Electric Utility	S	USA	2025-12-31	2025-12-31	h38c99d5ed37e8ee
3	Barry	Alabama Power Co	AL	Mobile	31.007	-88.01	SERC	2	operable	OP	Natural Gas Steam Turbine	ST	NG	—	natural_gas	153.1	80	80	1,954	71	40+	none_planned	—	—	Electric Utility	S	USA	2025-12-31	2025-12-31	h9e4c2a9400aed7d
3	Barry	Alabama Power Co	AL	Mobile	31.007	-88.01	SERC	4	operable	OP	Conventional Steam Coal	ST	BIT	—	coal	403.7	362	362	1,969	56	40+	none_planned	—	—	Electric Utility	S	USA	2025-12-31	2025-12-31	h66b789964f53420

Profiled Oct 1, 2026 from snapshot 20261001T122734Z-169381f9d774

Measured

Completeness: 90.6%
Rows: 36,573
Columns: 32
Columns with gaps: 12

Column	Missing	Distinct	Range	Distribution
plant_idbigint	0%	18,715	1 → 70,452median 56,681	723 outside 1st–99th percentile
plant_namevarchar	0%	18,031	—	Project Matador Gas Plant (PMG)157 Edison Sault73 Amelia48
operator_namevarchar	0%	7,843	—	Southern California Edison Co405 Industrial Power Generating Company LLC401 Tennessee Valley Authority367
statevarchar	0%	55	—	CA4,246 TX3,424 NY2,394
countyvarchar	0.1%	1,980	—	Los Angeles579 Kern466 San Bernardino456
latitudedouble	0.19%	12,861	18.97 → 71.29median 39.3	732 outside 1st–99th percentile
longitudedouble	0.19%	13,527	-171.71 → -67.4median -91.12	732 outside 1st–99th percentile
nerc_regionvarchar	3.1%	7	—	WECC8,420 SERC7,626 RFC5,735
generator_idvarchar	0%	15,617	—	13,652 22,036 31,434
lifecycle_stagevarchar	0%	2	—	operable27,918 retired5,805 proposed2,850
statusvarchar	0%	13	—	OP25,659 RE4,787 SB1,501
technologyvarchar	0%	32	—	Solar Photovoltaic9,892 Petroleum Liquids5,351 Conventional Hydroelectric4,394
prime_movervarchar	0%	18	—	PV9,892 IC8,472 HY4,394
energy_source_1varchar	0%	34	—	SUN9,909 NG8,991 DFO5,125
energy_source_2varchar	86.5%	27	—	DFO2,854 NG1,081 RFO168
fuel_groupvarchar	0%	11	—	solar9,909 natural_gas8,991 petroleum5,350
is_storagebigint	0%	2	0 → 1median 0
nameplate_capacity_mwdouble	0%	2,050	0.1 → 2,640median 5	543 outside 1st–99th percentile
summer_capacity_mwdouble	0.46%	2,544	0.06 → 2,640median 4.9	586 outside 1st–99th percentile
winter_capacity_mwdouble	0.55%	2,341	0.06 → 2,640median 4.9	594 outside 1st–99th percentile
operating_yearbigint	10.6%	143	1,891 → 2,025median 2,005	291 outside 1st–99th percentile
generator_age_yearsdouble	10.6%	167	0 → 134median 20	291 outside 1st–99th percentile
age_bucketvarchar	10.6%	5	—	<1010,121 40+9,405 10-196,014
retirement_horizonvarchar	0%	4	—	none_planned36,000 7y_plus233 within_3y215
planned_online_yearbigint	92.2%	23	2,012 → 2,032median 2,026	56 outside 1st–99th percentile
retirement_yearbigint	86.9%	45	1,950 → 2,025median 2,015	43 outside 1st–99th percentile
sector_namevarchar	0%	7	—	IPP Non-CHP18,102 Electric Utility13,701 Commercial Non-CHP1,435
ownershipvarchar	0%	3	—	S32,534 W3,193 J846
country_codevarchar	0%	1	—	USA36,573
as_ofvarchar	0%	1	—	2025-12-3136,573
source_retrievedvarchar	0%	1	—	2025-12-3136,573
row_hashvarchar	0%	35,230	—	h0000998b83570e71 h0000ea2731d9c271 h0002faae08b79e61

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/eia860_generator_capacity_intel/us_generator_capacity_inventory_annual" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/eia860_generator_capacity_intel/us_generator_capacity_inventory_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/eia860_generator_capacity_intel/us_generator_capacity_inventory_annual

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

Cite this snapshot

Pinned to snapshot 20261001T122734Z-169381f9d774 and its content hash, so readers get exactly the data you used.

APA

EIA-860 US generator capacity inventory intelligence. (2026). US power-plant generator capacity inventory (annual) [Data set, snapshot 20261001T122734Z-169381f9d774, sha256 169381f9d774]. Datazimuts. Retrieved 2026-10-02, from https://datazimuts.com/en/datasets/eia860_generator_capacity_intel/us_generator_capacity_inventory_annual?snapshot=20261001T122734Z-169381f9d774

BibTeX

@misc{dz_eia860_generator_capacity_intel_us_gener_169381f9,
  title        = {{US power-plant generator capacity inventory (annual)}},
  author       = {{EIA-860 US generator capacity inventory intelligence}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/eia860_generator_capacity_intel/us_generator_capacity_inventory_annual?snapshot=20261001T122734Z-169381f9d774}},
  note         = {Snapshot 20261001T122734Z-169381f9d774, sha256 169381f9d774f422e80aed83ce8eeb761c6ebcb10c51b72cd36a44ed1d8cd7be; accessed 2026-10-02}
}

Embed a table or a chart

Paste this into any page. The embed is pinned to the same snapshot, follows the reader's light or dark setting, and always shows the source, license and a link back.

Type

X axis

Value

Aggregate

Theme

HTML

<iframe src="https://datazimuts.com/embed/chart?dataset=eia860_generator_capacity_intel%2Fus_generator_capacity_inventory_annual&lang=en&theme=auto&snapshot=20261001T122734Z-169381f9d774&x=operating_year&y=plant_id&agg=avg" title="US power-plant generator capacity inventory (annual)" width="100%" height="380" style="border:0" loading="lazy"></iframe>

US power-plant generator capacity inventory (annual)

Follow this dataset

Cite this snapshot

Embed a table or a chart

Use your own AI key