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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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Greenhouse Gas Emissions By Industry in the United States 2019-2023

Authors: Young, Ben; Birney, Catherine; Srivastava, Yash; Ingwersen, Wesley;

Greenhouse Gas Emissions By Industry in the United States 2019-2023

Abstract

The 2019-2023 National-Level Greenhouse Gas Emission Totals by Industry dataset contains ~23 thousand records of GHGs directly emitted in the U.S. by economic sectors and households across two Excel files, one for each level of industry detail. The aggregate level provides data for all U.S. industries and households in 118 categories. The detail provides data for all U.S. industries and households in 527 categories. Sectors are defined using the codes from the 2017 version of the North American Industry Classification System (NAICS). The 2025 version of the U.S. GHG Inventory (GHGI) is the primary source for the emissions quantities in the dataset (U.S. EPA 2025). The 17 unique GHG chemicals or groups are reported using the nomenclature from the Federal LCA Commons Elementary Flow List v1.3.2 (Edelen et al. 2019), where all individual GHGs present in the GHGI are reported. The dataset uses the Flow-By-Sector collapsed format (Birney et al. 2022). Emissions of each GHG are reported in kilograms (kg) per year, except for groups of hydrofluorocarbons (HFCs) and perfluorohydrocarbons (PFCs) where the original data were only available in CO2-equivalents (CO2e). Even more detailed versions of the Excel datasets are available in Apache parquet files, where each record provides a total for a given GHG, sector, year, location, and data source and provides all the fields in the Flow-By-Sector collapsed format. The Excel versions of the data provide records aggregated at the level of GHG, sector, and year. The Excel versions also provide supporting definitions of sector codes. The geographic scope of the emission totals include the U.S. States and District of Columbia. The code used to generate the datasets is available in v2.1.0 of the FLOWSA tool. These data are an update to 2012-2022 National-Level Greenhouse Gas Emission Totals by Industry (Young and Ingwersen 2024). Data for 2023 are added and data for 2019-2022 are updated. Data for years prior to 2019 are not included in this release. Please see the related publication for more background information and methodological detail (Young, Birney, and Ingwersen 2024), along with the release notes below. Also included in this release are the 378 GHGI Flow-By-Activity (FBA) datasets used to generate the GHG sector attribution models. These FBA are the GHGI data imported and formatted in v2.1.0 of FLOWSA. Additional FBAs used for allocation in the sector attribution models can be found on USEPA's Data Commmons.

Related Organizations
Keywords

Anthropogenic greenhouse gas, Greenhouse gas inventory, Direct greenhouse gas emissions, Economic sector, flowsa

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average