Quarterly Census of Employment and Wages
E914751
The Quarterly Census of Employment and Wages is a comprehensive U.S. Bureau of Labor Statistics program that provides detailed quarterly data on employment and wage levels by industry and geography.
All labels observed (2)
| Label | Occurrences |
|---|---|
| QCEW | 1 |
| Quarterly Census of Employment and Wages canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11259814 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quarterly Census of Employment and Wages Context triple: [Employment Projections, dataSource, Quarterly Census of Employment and Wages]
-
A.
Occupational Employment and Wage Statistics
Occupational Employment and Wage Statistics is a U.S. labor market data program that provides detailed estimates of employment levels and wage rates across occupations and industries.
-
B.
Bureau of Labor Statistics
The Bureau of Labor Statistics is the principal U.S. federal agency responsible for collecting, analyzing, and disseminating essential economic data on labor market activity, prices, and productivity.
-
C.
National Average Wage Index
The National Average Wage Index is a measure published annually by the U.S. Social Security Administration that reflects the average wages subject to Social Security taxes across all covered workers.
-
D.
American Community Survey
The American Community Survey is an ongoing nationwide survey conducted by the U.S. Census Bureau that provides detailed annual demographic, social, economic, and housing data about the U.S. population.
-
E.
United States Department of Labor
The United States Department of Labor is a federal executive department responsible for promoting the welfare of wage earners, improving working conditions, and overseeing labor-related laws and programs in the United States.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quarterly Census of Employment and Wages Target entity description: The Quarterly Census of Employment and Wages is a comprehensive U.S. Bureau of Labor Statistics program that provides detailed quarterly data on employment and wage levels by industry and geography.
-
A.
Occupational Employment and Wage Statistics
Occupational Employment and Wage Statistics is a U.S. labor market data program that provides detailed estimates of employment levels and wage rates across occupations and industries.
-
B.
Bureau of Labor Statistics
The Bureau of Labor Statistics is the principal U.S. federal agency responsible for collecting, analyzing, and disseminating essential economic data on labor market activity, prices, and productivity.
-
C.
National Average Wage Index
The National Average Wage Index is a measure published annually by the U.S. Social Security Administration that reflects the average wages subject to Social Security taxes across all covered workers.
-
D.
American Community Survey
The American Community Survey is an ongoing nationwide survey conducted by the U.S. Census Bureau that provides detailed annual demographic, social, economic, and housing data about the U.S. population.
-
E.
United States Department of Labor
The United States Department of Labor is a federal executive department responsible for promoting the welfare of wage earners, improving working conditions, and overseeing labor-related laws and programs in the United States.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
United States government statistical program
ⓘ
economic statistics program ⓘ labor statistics program ⓘ |
| abbreviation |
NAICS
ⓘ
linked to:
NAICS codes
|
| country |
United States
ⓘ
linked to:
United States of America
|
| covers |
average weekly wage
ⓘ
monthly employment ⓘ quarterly total wages ⓘ |
| dataAccess |
BLS website
ⓘ
downloadable flat files ⓘ public use data tables ⓘ |
| dataFrequency | quarterly ⓘ |
| dataSource |
federal government employment records
ⓘ
state unemployment insurance records ⓘ |
| dataType |
census of employment
ⓘ
census of wages ⓘ establishment-level data ⓘ |
| formerName | ES-202 program ⓘ |
| geographicCoverage |
U.S. territories
ⓘ
county ⓘ metropolitan statistical area ⓘ national ⓘ state ⓘ |
| granularity | industry by geography by ownership ⓘ |
| industryClassificationSystem |
North American Industry Classification System
ⓘ
linked to:
NAICS codes
|
| language | English ⓘ |
| legalBasis | cooperative federal–state program ⓘ |
| maintainedBy | Office of Employment and Unemployment Statistics of the BLS ⓘ |
| operator |
U.S. Bureau of Labor Statistics
ⓘ
linked to:
Bureau of Labor Statistics
|
| primaryTopic |
employment
ⓘ
industry employment ⓘ industry wages ⓘ wages ⓘ |
| publisher |
U.S. Bureau of Labor Statistics
ⓘ
linked to:
Bureau of Labor Statistics
|
| relatedTo |
Current Employment Statistics survey
ⓘ
Local Area Unemployment Statistics program ⓘ |
| sectorCoverage |
federal government
ⓘ
local government ⓘ private sector ⓘ state government ⓘ |
| shortName |
QCEW
ⓘ
linked to:
Quarterly Census of Employment and Wages
|
| startYear | 1975 ⓘ |
| unitOfObservation | establishment ⓘ |
| usedFor |
benchmarking Current Employment Statistics survey
ⓘ
economic development planning ⓘ measuring employment by industry ⓘ measuring wage levels by industry ⓘ occupational and industry research ⓘ policy analysis ⓘ regional economic analysis ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Quarterly Census of Employment and Wages Description of subject: The Quarterly Census of Employment and Wages is a comprehensive U.S. Bureau of Labor Statistics program that provides detailed quarterly data on employment and wage levels by industry and geography.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Quarterly Census of Employment and Wages