Denmark Emission Factors

93 emission factors for Denmark, gathered from 10 parts of the GreenCalculus MasterBrain — Spend-Based Intensity (77), National Emissions (7), Grid Electricity Water (2), Carbon Pricing (1), Digital (1) and 5 others — so figures normally spread across separate reference pages sit on one. Drawn from 11 named sources, each listed with its publisher and licence under Sources below, and read live from the data layer on every page build. They span 11 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, Carbon Price Reference Values, 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. 9 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. 51 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.

GreenCalculus. (2026). Denmark Emission Factors (MasterBrain v2026.284). Numbers Publishing Pte. Ltd. https://greencalculus.com/factors/denmark-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, in BibTeX then RIS:

@misc{greencalculus__2026,
  author       = {{GreenCalculus}},
  title        = {Denmark Emission Factors},
  year         = {2026},
  howpublished = {GreenCalculus},
  publisher    = {Numbers Publishing Pte. Ltd.},
  note         = {MasterBrain v2026.284},
  url          = {https://greencalculus.com/factors/denmark-emission-factors/}
}

TY  - DATA
AU  - GreenCalculus
TI  - Denmark Emission Factors
PY  - 2026
DB  - GreenCalculus
PB  - Numbers Publishing Pte. Ltd.
ET  - MasterBrain v2026.284
UR  - https://greencalculus.com/factors/denmark-emission-factors/
ER  - 

The open API is browsed by section, not by country, so no single address returns exactly this page. Its 93 factors sit in 10 sections of the API, each of which also returns other countries. No key, no signup:

https://greencalculus.com/wp-json/greencalculus/v1/factors/<section>

Sections holding a factor for this country: spend_based, national_emissions, water_electricity, carbon_pricing, digital, district_heating, grid_lifecycle, grid, transmission_distribution, waste.

Or as a spreadsheet: 92 of the 93 rows on this page, each with its source, the edition it last changed in, and its own link:

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

Download this table as CSV

The download leaves out 1 row from IPCC_WASTE_2006_VOL5, whose terms do not give us the right to pass their figures on in a file. They stay on this page, each beside its source, and in the endpoint above, where every row carries licence.redistributable. The per-publisher terms are on the sources register.

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