How we build our career data

The NueCareer career bank holds 923 US occupations built from four federal sources: BLS Occupational Employment and Wage Statistics (May 2025), BLS Employment Projections (2024–2034), the BLS Occupational Outlook Handbook (2024–2034 edition), the O*NET 30.3 Database (May 2026), and BEA Regional Price Parities (2024) for cost-of-living adjustments. It was last rebuilt on August 15, 2026. No number shown anywhere on this site is generated by an AI model.

Occupations in the bank: 923
With BLS wage data: 99.3%
With BLS projections: 99.6%
With COL adjustment: 97.9%

Every source, with its vintage

Data sources, versions and vintages
Source	Release	Vintage
O*NET	O*NET 30.3 Database	May 2026
O*NET	O*NET-SOC 2019 → SOC 2018 Crosswalk	2019
BLS OEWS	BLS OEWS National	May 2025
BLS OEWS	BLS OEWS State	May 2025
BLS EP	BLS Employment Projections, occupational tables	2024–2034
BLS OOH	BLS Occupational Outlook Handbook	2024–2034 edition
BEA RPP	BEA Regional Price Parities by State	2024

Wage and projection data are joined to O*NET occupations at the SOC code. Where several O*NET occupations share one SOC code, they share that SOC code's wage and projection figures. This is a limitation of the federal data, not a modelling choice, and it is why some specialised titles carry the same median as their parent occupation.

What we compute on top of the source data

Cost-of-living adjusted wages

Each state median is divided by that state's BEA Regional Price Parity and multiplied by 100. Regional Price Parities measure how much a fixed basket of goods, services and rents costs in a state relative to the US average, so the result restates local pay in national-average dollars. BEA does not publish parities for every OEWS reporting area, so some rows have no adjusted figure rather than an estimated one.

Personality fit scores

Each MBTI dimension is given a weight over the six Holland (RIASEC) interest axes, following published correlations: Extraversion towards Social and Enterprising, Introversion towards Investigative and Realistic, Intuition towards Artistic and Investigative, Sensing towards Conventional and Realistic, Thinking towards Investigative and Realistic, Feeling towards Social and Artistic, Judging towards Conventional, Perceiving towards Artistic. A type's vector is the sum of its four dimension rows, normalised. The fit score is the cosine similarity between that vector and the occupation's O*NET Occupational Interests profile, scaled to 0–100 and lightly adjusted by O*NET work-style signals. It is a deterministic calculation: the same inputs always produce the same score.

AI-resilience score

A 0–100 NueCareer analysis of the composition of an occupation's O*NET work activities and work context. Assisting and caring for others, physical dexterity in unpredictable environments, sustained face-to-face contact and creative origination raise the score; routine information processing and repetitive precision lower it. This is our analysis of public O*NET data, never a BLS or O*NET claim, and it is a task-composition heuristic rather than a forecast of adoption. See the full scores and their limits.

How we define our facets

Pays well: national median at least 25% above the $50,980 US median wage for all occupations.
Fast growing: projected employment change at least twice the 3.1% all-occupations average.
No degree required: BLS typical entry-level education of a postsecondary non-degree award, some college, a high school diploma, or no formal credential.
Low stress: O*NET work-context scores for time pressure, conflict situations and consequence of error all in the lower part of their range. Occupations with too little work-context data are left unjudged, not assumed calm.
Remote friendly: high electronic communication with low physical and outdoor demands. This measures whether work can be done remotely, not whether employers currently allow it.
Trade, outdoor, physical, helps people, creative, analytical, works with animals: derived from O*NET work activities, work context and interest profiles for the occupation.

Why some occupations have no page yet

All 923 occupations are in the bank and all of them power the quiz. Public pages publish in tranches: 260 occupations with Occupational Outlook Handbook coverage and substantial employment have full profiles today, 653 follow in later tranches, and 10 have data too sparse to justify a page at all. Publishing a thin page for every occupation would make the good pages worse.

Refresh policy

Wages are refreshed within 30 days of each annual BLS OEWS release (typically spring).
Outlook data is refreshed within 30 days of each BLS Employment Projections release.
O*NET content is refreshed on the quarterly database cadence.
Cost-of-living adjustments follow the annual BEA Regional Price Parity release.
Every rebuild republishes the vintage on every page, so a stale number is visible rather than hidden. Current build: August 15, 2026.

Known limitations

Published in full rather than buried, because they change how you should read the numbers.

Tier-1 selection uses OOH coverage × national employment; design.md also anticipates a DataForSEO search-demand signal, not yet wired in.
Metro-level wages (oesm25ma.zip) are not ingested; state is the finest geography in the bank.
O*NET 30.3 no longer ships a Work Values table, so work-values matching is unavailable.
OEWS reports wages at or above $239,200 a year as top-coded, so medians for the highest-paying occupations are floors rather than exact values.
OEWS suppresses estimates built on small samples, which is why some states show no figure for some occupations.

Licensing and attribution

This bank includes information from the O*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/). O*NET® is a trademark of USDOL/ETA. NueCareer has transformed the data by joining it to BLS wage and projection data and deriving facet, personality-fit and AI-resilience scores. BLS and BEA data are public domain (17 U.S.C. §105).

O*NET® is a trademark of the U.S. Department of Labor, Employment and Training Administration. O*NET content is used under the Creative Commons Attribution 4.0 International licence. BLS and BEA publications are works of the US federal government and are in the public domain under 17 U.S.C. §105; we cite their vintage next to every figure regardless.

NueCareer is not affiliated with, endorsed by, or certified by the U.S. Department of Labor, the Bureau of Labor Statistics or the Bureau of Economic Analysis.

Methodology FAQ

Where does NueCareer salary data come from?

Every wage figure on this site comes from the BLS Occupational Employment and Wage Statistics (OEWS) programme, May 2025 release, the same survey of about 1.1 million establishments that bls.gov publishes. We do not use self-reported or crowdsourced salary data.

How often is the data updated?

The bank is rebuilt within 30 days of each annual BLS OEWS release (spring), within 30 days of each Employment Projections release, and quarterly for O*NET database updates. The current build is dated August 15, 2026. Every page shows its own "last updated" date and the vintage of each number on it.

Are the personality fit scores scientifically validated?

No, and we do not present them as such. They are a transparent, deterministic mapping between MBTI dimensions and the Holland RIASEC interest model, applied to O*NET interest profiles. They describe how closely an occupation's interest profile resembles a type's profile. They are not a validated predictor of job performance or satisfaction, and no personality instrument is.

Can I cite or reuse this data?

BLS and BEA figures are US government public domain works. O*NET content is licensed CC BY 4.0 and requires attribution to USDOL/ETA. NueCareer's derived scores (AI resilience, personality fit, the facet definitions and the collection rankings) are our own analysis; please cite "NueCareer analysis" and link to the page you used.