United States Emission Factors

221 emission factors for the United States, gathered from 5 parts of the GreenCalculus MasterBrain — grid electricity intensity (104), spend-based industry intensity (90), fuel combustion (20), carbon pricing (6) and transmission and distribution losses (1) — so figures normally spread across separate reference pages sit on one. Drawn from World Bank Carbon Pricing Dashboard — compliance instruments (ETSs and carbon taxes): design, GHG coverage and price, per State and Trends of Carbon Pricing 2025, US EPA GHG Emission Factors Hub 2025 (stationary combustion, Table 1), US EPA eGRID 2023 rev2 (data year 2023, published 2025), Green-e Residual Mix Emissions Rates 2025 (2023 data; released 29 January 2026), US EPA Supply Chain Greenhouse Gas Emission Factors v1.3.0 (NAICS-6, 2022 USD purchaser price) and World Bank Open Data — Indicator EG.ELC.LOSS.ZS: Electric power transmission and distribution losses (% of output) and read live from the data layer on every page build. They span 9 units of measurement, which is why the spread below is reported per unit and never blended.

Where these factors also appear

Each factor here also appears on the reference page for its own family — Spend-Based Emission Factors by Industry, Carbon Price Reference Values and Grid Transmission & Distribution Loss Factors — where it sits alongside every other country. This page is the same data cut to one country, for when that is the question being asked.

What this group contains

Figures are computed per unit and never blended: a median across different units would be arithmetically valid and physically meaningless. 3 further units in this group have fewer than 3 factors and are counted above but not described.

What has changed

Change history is reconstructed from every released edition of the data layer, v2025.13 to v2026.107. A factor absent from this table has held the same value throughout. A change shown as a dash moved off zero, where a percentage has no meaning.

Sources, citation & machine access

Cite the upstream publisher for the values themselves. The reference below credits this compilation and, more usefully, pins the edition you read.

Say, Jeremiah (2026). United States Emission Factors (MasterBrain v2026.110). GreenCalculus. https://greencalculus.com/factors/united-states-emission-factors/

Cite this factor group

Values change between editions. Quoting the MasterBrain version is what lets a reader resolve the exact number you used — see the change record above for factors in this group that have moved.

For a reference manager — BibTeX, then RIS:

@misc{greencalculus__2026,
  author       = {Say, Jeremiah},
  title        = {United States Emission Factors},
  year         = {2026},
  howpublished = {GreenCalculus},
  note         = {MasterBrain v2026.110},
  url          = {https://greencalculus.com/factors/united-states-emission-factors/}
}

TY  - DATA
AU  - Say, Jeremiah
TI  - United States Emission Factors
PY  - 2026
PB  - GreenCalculus
ET  - MasterBrain v2026.110
UR  - https://greencalculus.com/factors/united-states-emission-factors/
ER  - 

Every factor on this page is readable from the open endpoint. No key, no signup:

https://greencalculus.com/wp-json/greencalculus/v1/factors/

curl -s "https://greencalculus.com/wp-json/greencalculus/v1/factors/?limit=500"

import requests
rows = requests.get("https://greencalculus.com/wp-json/greencalculus/v1/factors/", params={"limit": 500}).json()["factors"]
print(len(rows), "factors in ")

Or the same rows as a spreadsheet — every factor with its source, the edition it last changed in, and its own link:

https://greencalculus.com/wp-json/greencalculus/v1/factors-export?page=united-states-emission-factors

Download this table as CSV

Both responses carry an X-GC-Version header, so a consumer can detect a new edition without diffing the payload. The CSV filename carries the edition too, so two downloads months apart do not collide.

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