National Occupational Estimates 2023
This dataset provides occupational staffing patterns and proportional estimates across sub-sectors tracked by the US Energy Employment Report (USEER), including Advanced Natural Gas, Bioenergy, CHP, Coal, Geothermal, Land-Based Wind, Low-Impact Hydro, Natural Gas, Nuclear, Oil, Offshore Wind, Solar PV, and Traditional Hydro. The data are designed to support accurate prediction of occupational impacts from energy job creation across 76 USEER sub-technologies and their associated value chains.
Occupational proportions were derived through a two-track methodology. For sub-technologies where industry staffing is well-characterized by public sources, the research team mapped relevant 6-digit NAICS codes - weighted by energy activity - to Bureau of Labor Statistics (BLS) Industry-Occupation Matrix data to determine occupational incidence by value chain. Where 6-digit NAICS detail was unavailable, the nearest 4- or 5-digit equivalent was substituted. For sub-technologies requiring greater precision - including construction, installation, manufacturing, operations and maintenance in electric power generation, and construction activities in energy efficiency - BW Research conducted primary proprietary research with 1,095 industry stakeholders to establish staffing patterns.
Baseline occupational estimates were produced by applying 2022 employment figures from the 2023 USEER across nine value chain categories (agriculture, mining and extraction, utilities, construction, manufacturing, wholesale trade, pipeline transportation, professional and business services, and other services) to the sub-technology-level staffing patterns. These estimates serve as the foundation for a forthcoming Workforce Needs Assessment, which will be updated with 2023 employment data upon publication of the 2024 USEER.
Resources
2 resources available
-
Industry Occupation Matrix
HTM -
National Occupational Estimates 2023.xlsx
XLSX
Find Related Datasets
Search by Tags
Click any tag below to search for similar datasets
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Kristin Wegner Guilfoyle",
"@type": "vcard:Contact",
"hasEmail": "mailto:Kristin.WegnerGuilfoyle@nlr.gov"
}
|
| dataQuality |
true
|
| description | This dataset provides occupational staffing patterns and proportional estimates across sub-sectors tracked by the US Energy Employment Report (USEER), including Advanced Natural Gas, Bioenergy, CHP, Coal, Geothermal, Land-Based Wind, Low-Impact Hydro, Natural Gas, Nuclear, Oil, Offshore Wind, Solar PV, and Traditional Hydro. The data are designed to support accurate prediction of occupational impacts from energy job creation across 76 USEER sub-technologies and their associated value chains. Occupational proportions were derived through a two-track methodology. For sub-technologies where industry staffing is well-characterized by public sources, the research team mapped relevant 6-digit NAICS codes - weighted by energy activity - to Bureau of Labor Statistics (BLS) Industry-Occupation Matrix data to determine occupational incidence by value chain. Where 6-digit NAICS detail was unavailable, the nearest 4- or 5-digit equivalent was substituted. For sub-technologies requiring greater precision - including construction, installation, manufacturing, operations and maintenance in electric power generation, and construction activities in energy efficiency - BW Research conducted primary proprietary research with 1,095 industry stakeholders to establish staffing patterns. Baseline occupational estimates were produced by applying 2022 employment figures from the 2023 USEER across nine value chain categories (agriculture, mining and extraction, utilities, construction, manufacturing, wholesale trade, pipeline transportation, professional and business services, and other services) to the sub-technology-level staffing patterns. These estimates serve as the foundation for a forthcoming Workforce Needs Assessment, which will be updated with 2023 employment data upon publication of the 2024 USEER. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Industry Occupation Matrix",
"format": "htm",
"accessURL": "https://www.bls.gov/emp/tables/industry-occupation-matrix-industry.htm",
"mediaType": "application/octet-stream",
"description": "U.S. Bureau of Labor Statistics industry-occupation matrix data, by industry, for more information."
},
{
"@type": "dcat:Distribution",
"title": "National Occupational Estimates 2023.xlsx",
"format": "xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"description": "Occupational estimates data table broken down into tabs for electric power generation (EPG), storage (STOR), fuels (FUELS), electric power transmissino and distribution (EPTD), energy efficiency (EE), and technology detail by industry. The data uses NAICS codes. ",
"downloadURL": "https://data.openei.org/files/8660/Copy%20of%20OccEstimates_Natl_USEER2023.xlsx"
}
]
|
| identifier | https://data.openei.org/submissions/8660 |
| issued | 2026-04-13T06:00:00Z |
| keyword |
[
"2023",
"USEER",
"data",
"energy",
"estimate",
"occupational",
"occupational staffing patterns",
"power",
"processed data",
"staffing",
"workforce"
]
|
| landingPage | https://data.openei.org/submissions/8660 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2026-04-15T20:14:07Z |
| programCode |
[
"019:000",
"019:002",
"019:003",
"019:006",
"019:007",
"019:008",
"019:009",
"019:010",
"019:023"
]
|
| projectNumber |
"53954"
|
| projectTitle | Energy Workforce Needs Assessment (EWNA) |
| publisher |
{
"name": "National Laboratory of the Rockies (NLR)",
"@type": "org:Organization"
}
|
| spatial |
"{"type":"Polygon","coordinates":[[[-127.560775,25.542649502248292],[-68.641175,25.542649502248292],[-68.641175,49.94717250174411],[-127.560775,49.94717250174411],[-127.560775,25.542649502248292]]]}"
|
| title | National Occupational Estimates 2023 |
