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For a career app, O*NET, ESCO, and the U.S. Bureau of Labor Statistics’ Occupational Outlook Handbook (OOH) are complementary sources, not interchangeable occupation lists. O*NET offers detailed U.S. worker attributes and job characteristics; ESCO organizes occupations, skills, and competences for multilingual use across Europe; and the OOH provides U.S. career descriptions and employment outlook context. Choose by audience, data need, and geography—and preserve each source’s identifiers, dates, and attribution when you combine them.
What each source is for
O*NET: detailed U.S. work and worker information
The O*NET Resource Center describes its database as a collection of worker attributes and job characteristics. Its data collection draws on expert, analyst, employer-posting, worker, government, machine-learning, natural-language-processing, web-research, and other inputs. The Resource Center says portions of every occupation profile are refreshed annually, while some details, including job titles and software skills, are updated more frequently. Its page reports 900 occupation profiles and more than 55,000 jobs; those are the page’s figures, not a current independent export count. O*NET Data Collection Overview.
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O*NET data files and web services are available through the O*NET Resource Center. O*NET OnLine can also display content from external organizations, so content shown there should not automatically be treated as O*NET-owned or covered by one license.
ESCO: a multilingual European occupations-and-skills classification
ESCO is designed to standardize occupations and skills across European countries and support labor mobility, matching and search, career guidance, learning management, and labor-market research. It is published as Linked Open Data. The European Commission offers downloadable SKOS-RDF, ODS, and CSV files, as well as web services and local APIs. The ESCO page says its datasets are available in 28 languages and that concepts have persistent URI identifiers. When accessed for this article, the page identified classification v1.2.1, last updated 2025-10-12, and release v5.7.0; verify the page’s current version details before importing data. Use ESCO.
#1 Best Overall
OOH: U.S. career descriptions and outlook context
The OOH is a BLS career-information product. BLS provides a downloadable XML file containing the whole handbook. The handbook follows the Standard Occupational Classification (SOC) system; its industry information follows the North American Industry Classification System (NAICS). For detailed occupational projections, BLS points users to Employment Projections; for national and subnational wage and employment data, it points to Occupational Employment and Wage Statistics (OEWS). OOH Data Access and Republishing Information.
The National Employment Matrix underlies the OOH’s occupational employment information. BLS identifies OEWS, Current Employment Statistics, and Current Population Survey data among its primary inputs. Its projections are produced through linked models and assumptions, and individual-occupation estimates are subject to error. The Employment Projections overview, last modified 2026-08-27, says outlook information should not be the sole basis for a career choice. Employment Projections Data Overview.
Which source should a career app use?
| Source | Best fit | Geographic orientation | Software access |
|---|---|---|---|
| O*NET | Detailed worker attributes and job characteristics | United States | Data files and web services through the O*NET Resource Center |
| ESCO | Occupations, skills, competences, and multilingual relationships for matching, guidance, and learning uses | European and multilingual context | SKOS-RDF, ODS, CSV, web services, and local APIs |
| OOH | U.S. career descriptions and outlook context | United States | Whole-handbook XML; detailed projections and wage/employment data are available from related BLS programs |
A U.S.-focused app may pair O*NET’s occupational detail with OOH descriptions and outlook. An app for European users may use ESCO’s classification and language coverage. A global product can support both, but it should keep the labor-market geography visible for each value rather than implying that U.S. projections or wages apply elsewhere.
Before choosing, decide what the feature needs to answer. Use a skills-oriented classification for matching and discovery; use career descriptions to explain work and outlook; use the appropriate geography-specific data for employment context. Record the source and release date at field level, because a single “last updated” label for a blended profile can conceal values with different origins and vintages.
How to combine O*NET, ESCO, and OOH records
O*NET’s Resource Center publishes crosswalk files connecting O*NET to other classification systems. The OOH crosswalk is developed and maintained by BLS; the O*NET crosswalk page lists that file as updated September 2025. The ESCO crosswalk connects ESCO with the O*NET-SOC taxonomy and was produced using AI techniques with human validation. The crosswalk page does not establish that the mapping is perfect or one-to-one. O*NET Crosswalk Files.
- Import the original records. Keep each source’s native occupation or concept identifier, label, and source name. For ESCO, its persistent URI can serve as a stable concept identifier.
- Apply a documented crosswalk. Store the crosswalk version or update date and its provenance alongside each proposed match. Do not replace an original identifier with a mapped identifier.
- Represent ambiguity. If a mapping produces multiple candidates or an imperfect match, retain that relationship and communicate the uncertainty instead of silently selecting one as equivalent.
- Show source and time context. Display the source and relevant update or projection period for imported values. O*NET refreshes portions of profiles on different cadences; ESCO has its own release version; OOH-linked outlook figures have a projection period.
A crosswalk connects classifications; it does not prove that two systems define the same occupation or concept. Treat a mapped relationship as a relationship, not a claim of identity.
Rank #4
Present employment outlook without overstating it
Employment projections are estimates based on data, models, and assumptions, not promises of a particular job outcome. BLS notes that individual occupation projections can be wrong because many unknown factors affect the economy. The O*NET OnLine external-source table lists OOH-linked BLS projection material as 2024–2034 and dated 2025-09-16; that is the period and date shown in that table, not a shared vintage for every OOH fact. O*NET OnLine: External Data Sources.
In an app, put the period, geography, and source date next to the outlook value. Avoid language that turns projected growth or openings into a guaranteed result, and do not present outlook as the only career-choice factor. Interests, preparation, location, and personal constraints also matter. BLS’s stated caution is direct: “Furthermore, while occupational employment projections and related job outlook information can provide valuable inputs to the career decision-making process, they should not be the sole basis for a choice of career.” BLS Employment Projections Data Overview.
Check reuse terms and attribution by content type
BLS says its public-domain material may be reused without specific permission and asks users to cite BLS. OOH photographs are different: they are protected and require permission from the copyright holder. O*NET OnLine also notes that some external data sources are outside its content license and may have separate restrictions. Check the terms attached to the particular dataset, API, crosswalk, and image you use; a reuse statement for one item does not automatically cover everything displayed alongside it. BLS OOH reuse information and O*NET OnLine external sources.
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