Occupational Employment and Wage Statistics
E266529
United States government statistical program
employment statistics program
labor market statistics program
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.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Occupational Employment and Wage Statistics canonical | 2 |
| OEWS | 1 |
| Occupational Employment Statistics | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2436056 — 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: Occupational Employment and Wage Statistics Context triple: [BLS, publishes, Occupational Employment and Wage Statistics]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Joint Employment Report
The Joint Employment Report is an annual European Union document that reviews member states’ employment policies and labor market performance to guide and coordinate EU-wide employment strategy.
-
E.
BLS
BLS is the principal U.S. federal agency that collects, analyzes, and disseminates essential economic data on labor markets, prices, and productivity.
- 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: Occupational Employment and Wage Statistics Target entity description: 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.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Joint Employment Report
The Joint Employment Report is an annual European Union document that reviews member states’ employment policies and labor market performance to guide and coordinate EU-wide employment strategy.
-
E.
BLS
BLS is the principal U.S. federal agency that collects, analyzes, and disseminates essential economic data on labor markets, prices, and productivity.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
United States government statistical program
ⓘ
employment statistics program ⓘ labor market statistics program ⓘ |
| abbreviation |
Occupational Employment and Wage Statistics
self-linksurface differs
ⓘ
surface form:
OEWS
|
| classificationSystem |
NAICS codes
ⓘ
surface form:
North American Industry Classification System
Standard Occupational Classification ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| dataSource |
employer survey
ⓘ
establishment survey ⓘ |
| dataType |
annual wage estimates
ⓘ
employment by industry and occupation ⓘ hourly wage estimates ⓘ occupational employment ⓘ occupational wage rates ⓘ |
| dataUsers |
businesses
ⓘ
career counselors ⓘ economic developers ⓘ educators ⓘ policy makers ⓘ researchers ⓘ |
| excludes |
owners and partners in unincorporated firms
ⓘ
private household workers ⓘ self-employed workers ⓘ |
| formerlyKnownAs |
Occupational Employment and Wage Statistics
self-linksurface differs
ⓘ
surface form:
Occupational Employment Statistics
|
| frequency | annual ⓘ |
| geographicCoverage |
U.S. territories (limited)
ⓘ
metropolitan areas ⓘ national ⓘ nonmetropolitan areas ⓘ state ⓘ |
| language | English ⓘ |
| operator |
BLS
ⓘ
Bureau of Labor Statistics ⓘ
surface form:
U.S. Bureau of Labor Statistics
|
| partOf | U.S. Bureau of Labor Statistics survey system ⓘ |
| purpose |
produce employment estimates by occupation
ⓘ
produce wage estimates by occupation ⓘ support analysis of occupational structure of industries ⓘ support career information and counseling ⓘ support policy analysis and workforce planning ⓘ |
| referencePeriod | May ⓘ |
| renamedFrom | Occupational Employment Statistics in 2021 ⓘ |
| sectorCovered |
civilian labor market
ⓘ
nonfarm wage and salary employment ⓘ |
| sponsor |
United States Department of Labor
ⓘ
surface form:
U.S. Department of Labor
|
| startDate | 1997 ⓘ |
| uses |
O*NET
ⓘ
Occupational Information Network ⓘ Occupational Outlook Handbook ⓘ |
| website | https://www.bls.gov/oes/ ⓘ |
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: Occupational Employment and Wage Statistics Description of subject: 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.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
Occupational Employment and Wage Statistics
→
formerlyKnownAs
→
Occupational Employment and Wage Statistics
self-linksurface differs
ⓘ
this entity surface form:
Occupational Employment Statistics
Occupational Employment and Wage Statistics
→
abbreviation
→
Occupational Employment and Wage Statistics
self-linksurface differs
ⓘ
this entity surface form:
OEWS