US Facility Greenhouse
Every large US greenhouse-gas emitter and how much it emits, in one clean table - the US complement to our EU industrial-emissions products. From EPA's Greenhouse Gas Reporting Program (mandatory for facilities ≥ 25,000 t CO2e/yr): we aggregate the sector/gas emissions to one total-CO2e figure per facility per year and join the facility dimension - one fat row per (facility × year) with total CO2e in tonnes, facility name, parent company, NAICS sector and industry, state, county and geocode. Public domain.
- Source
- EPA_GHGRP
- Licence
- Redistributable open data
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- Every large US GHG emitter (~8k facilities) × year - total CO2e (tonnes), one clean row each
- Facility name + parent company + NAICS sector / reported industry
- State / county / FIPS / lat-lon; annual back to the program's start
- The US mirror of our EU E-PRTR / industrial-emissions products
- Audiences: ESG / climate-risk, supply-chain, investors, policy
- Public domain (U.S. EPA GHGRP) - free commercial reuse & resale
- Source: U.S. Environmental Protection Agency - Greenhouse Gas Reporting Program
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| facility_id | int | EPA GHGRP facility id (with year, the primary key) | 100.0% | 11,277 |
| year | int | Reporting year | 100.0% | 14 |
| co2e_tonnes | float | Total facility emissions, tonnes CO2-equivalent (summed across gases) | 100.0% | 108,017 |
| facility_name | str | Facility name | 100.0% | 11,109 |
| parent_company | str | Parent company (as reported) | 99.8% | 4,414 |
| naics_code | str | NAICS industry code | 100.0% | 327 |
| industry | str | Reported industry type(s) | 71.2% | 167 |
| city | str | City | 100.0% | 5,187 |
| state | str | US state | 100.0% | 55 |
| county | str | County | 91.7% | 2,316 |
| county_fips | str | County FIPS code | 91.6% | 2,103 |
| latitude | float | Latitude | 100.0% | 10,260 |
| longitude | float | Longitude | 100.0% | 10,258 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: EPA_GHGRP (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("us-facility-ghg-emissions_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
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