geographicenergypower-plantsglobalgeospatialfuel-mixcc-by

Global Power Plants Database v1.3

2021 release · generation data 2013–2019

Fixed price

Sample structure: 81.5 / 100

0 download links issued

Seller: Cipher

Already have an account? Log in

Have an API key? Use the REST API →

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: CC-BY-4.0
Source / creator: Supplier-cited: World Resources Institute
Collection method: uploaded
Coverage / snapshot: 2021 release · generation data 2013–2019
Data last updated: Not documented
Update schedule: Not documented

Source documentation ↗

License terms ↗

Structured reuse terms reproduce the supplier’s explicit license declaration; upstream and third-party rights still apply. Source attribution is supplier-reported. The source link identifies publisher documentation; it does not independently verify this uploaded extract.

Sample structure score: 81.5 / 100

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

Assessed 10 sample records (CSV) on 2026-10-09. All records in the provided sample were checked.

Check	Points	Evidence
Populated cells	31.5 / 50	227 of 360 top-level cells contain a value. Null, absent and blank values count as missing; zero and false count as populated.
Consistent value types	30 / 30	227 of 227 populated cells match their column's most common observed type. Types are inferred, not checked against real-world truth.
Consistent record shape	20 / 20	10 of 10 records have the expected fields. CSV/TSV use the header width; JSON uses the union of observed keys.

Field-level findings and improvements

Check missing cells and mixed types below. Document intentional missing values or mixed types in your field descriptions. Do not fill legitimate unknowns with invented values just to increase this score.

Field	Missing cells	Most common type	Other populated types
country	0 / 10	string	0 / 10
country_long	0 / 10	string	0 / 10
name	0 / 10	string	0 / 10
gppd_idnr	0 / 10	string	0 / 10
capacity_mw	0 / 10	number	0 / 10
latitude	0 / 10	number	0 / 10
longitude	0 / 10	number	0 / 10
primary_fuel	0 / 10	string	0 / 10
other_fuel1	9 / 10	string	0 / 1
other_fuel2	10 / 10	unknown	0 / 0
other_fuel3	10 / 10	unknown	0 / 0
commissioning_year	3 / 10	number	0 / 7
owner	5 / 10	string	0 / 5
source	0 / 10	string	0 / 10
url	0 / 10	string	0 / 10
geolocation_source	0 / 10	string	0 / 10
wepp_id	6 / 10	number	0 / 4
year_of_capacity_data	3 / 10	number	0 / 7
generation_gwh_2013	8 / 10	number	0 / 2
generation_gwh_2014	8 / 10	number	0 / 2
generation_gwh_2015	8 / 10	number	0 / 2
generation_gwh_2016	8 / 10	number	0 / 2
generation_gwh_2017	8 / 10	number	0 / 2
generation_gwh_2018	7 / 10	number	0 / 3
generation_gwh_2019	6 / 10	number	0 / 4
generation_data_source	6 / 10	string	0 / 4
estimated_generation_gwh_2013	7 / 10	number	0 / 3
estimated_generation_gwh_2014	7 / 10	number	0 / 3
estimated_generation_gwh_2015	7 / 10	number	0 / 3
estimated_generation_gwh_2016	7 / 10	number	0 / 3
estimated_generation_gwh_2017	0 / 10	number	0 / 10
estimated_generation_note_2013	0 / 10	string	0 / 10
estimated_generation_note_2014	0 / 10	string	0 / 10
estimated_generation_note_2015	0 / 10	string	0 / 10
estimated_generation_note_2016	0 / 10	string	0 / 10
estimated_generation_note_2017	0 / 10	string	0 / 10

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Historical plant locations, fuel types, capacity and reported or estimated annual generation. WRI v1.3 is the final 2021 release and excludes later build-out; it does not describe the current generating fleet.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py 663fa968-ab6e-417c-bc38-ba351e91ca9c --output dataset.bin

Full supplier documentation

Original supplier listing: Global Power Plants - 34,936 plants, 167 countries, capacity + fuel + coordinates (WRI v1.3) 34,936 power plants across 167 countries, 36 columns. Per plant: country, name, capacity in MW, latitude and longitude, primary fuel and up to three secondary fuels, commissioning year, owner, source and source URL, geolocation source, WEPP id, and reported or estimated annual generation in GWh for 2013 through 2019. Fuel mix spans solar (10,665), hydro (7,156), wind (5,344), gas, coal, oil, biomass, waste, nuclear, geothermal and more. READ THIS BEFORE BUYING - THE VINTAGE. This is the World Resources Institute Global Power Plant Database v1.3.0, released 2021-06-02. It is the final published release and it has not been updated since. Plants commissioned after 2021 are NOT in it, and capacity figures reflect what was reported up to that point. If you need current build-out, this is the wrong dataset and you should not buy it. What it remains excellent for is historical baselines, global fuel-mix analysis, and any question about the world's generating fleet as it stood in 2021. Every single one of the 34,936 records carries coordinates and a capacity figure - no gaps to clean. LICENCE: CC BY 4.0. Copyright 2018-2021 World Resources Institute and Data Contributors. Commercial use and redistribution are permitted with attribution. Required citation, which travels with the file: 'Global Energy Observatory, Google, KTH Royal Institute of Technology in Stockholm, Enipedia, World Resources Institute. 2019. Global Power Plant Database.' No share-alike, so your derived work is yours. Supplied as one clean CSV with headers - no ZIP, no PDFs, no metadata sidecars.

Schema

Name	Type	Description
country	string
country_long	string
name	string
gppd_idnr	string
capacity_mw	string
latitude	string
longitude	string
primary_fuel	string
other_fuel1	string
other_fuel2	string
other_fuel3	string
commissioning_year	string
owner	string
source	string
url	string
geolocation_source	string
wepp_id	string
year_of_capacity_data	string
generation_gwh_2013	string
generation_gwh_2014	string
generation_gwh_2015	string
generation_gwh_2016	string
generation_gwh_2017	string
generation_gwh_2018	string
generation_gwh_2019	string
generation_data_source	string
estimated_generation_gwh_2013	string
estimated_generation_gwh_2014	string
estimated_generation_gwh_2015	string
estimated_generation_gwh_2016	string
estimated_generation_gwh_2017	string
estimated_generation_note_2013	string
estimated_generation_note_2014	string
estimated_generation_note_2015	string
estimated_generation_note_2016	string
estimated_generation_note_2017	string

Sample Data

Download a free sample to inspect the data before purchasing.

Public sample only. Sign in to retrieve the full dataset, including free datasets.

For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Global Power Plants Database v" })
// Found: 663fa968-ab6e-417c-bc38-ba351e91ca9c
buy_now({ dataset_id: "663fa968-ab6e-417c-bc38-ba351e91ca9c" })  // uses your saved card

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/663fa968-ab6e-417c-bc38-ba351e91ca9c \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/663fa968-ab6e-417c-bc38-ba351e91ca9c/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "663fa968-ab6e-417c-bc38-ba351e91ca9c"}'