Czechia Emission Factors

79 emission factors for Czechia, gathered from 4 parts of the GreenCalculus MasterBrain — spend-based industry intensity (75), grid electricity intensity (2), district heating (1) and transmission and distribution losses (1) — so figures normally spread across separate reference pages sit on one. Drawn from EUROSTAT — Share of energy from renewable sources (indicator nrg_ind_ren), Ember Yearly Electricity Data (2025 release), AIB European Residual Mixes 2025 (published 28 May 2026; covers calendar year 2025), Eurostat ESA Environmentally-Extended Input-Output (ESA-EE-IO) spend-based GHG intensity by NACE Rev. 2, derived from env_ac_ainah_r2 (Air Emissions Accounts) ÷ nama_10_a64 (Gross Value Added) 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 4 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, Grid Electricity Carbon-Intensity Factors by Country, District Heating & Cooling Emission Factors 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. 50 further revalued factors are not listed here.

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). Czechia Emission Factors (MasterBrain v2026.110). GreenCalculus. https://greencalculus.com/factors/czechia-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        = {Czechia Emission Factors},
  year         = {2026},
  howpublished = {GreenCalculus},
  note         = {MasterBrain v2026.110},
  url          = {https://greencalculus.com/factors/czechia-emission-factors/}
}

TY  - DATA
AU  - Say, Jeremiah
TI  - Czechia Emission Factors
PY  - 2026
PB  - GreenCalculus
ET  - MasterBrain v2026.110
UR  - https://greencalculus.com/factors/czechia-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=czechia-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.

All factors

Last changed names the data-layer edition in which a factor last took a new value, reconstructed from every released edition since v2025.13. A dash means the value has not moved since tracking began — which is the answer to "is the figure I used last year still current?".

Common questions