Data Methodology

How we source, compute,
and maintain our data

This is the detailed reference behind our Data Integrity summary β€” written for partners, schools, and institutions who need to understand exactly where every figure comes from and how it is produced.

Reviewed: July 2026Salary & growth: BLS 2023–24Primary sources: BLS Β· U.S. Census Bureau Β· O*NET
Sources of record

Every metric, and where it comes from

Quantitative data comes from published federal programs. Salary and growth figures reflect BLS 2023–24 data; state, local, and skills figures reflect the most recent published release of each program at the time of loading.

MetricSource & programHow it's usedRefresh
Median salaryU.S. Bureau of Labor Statistics β€” Occupational Employment & Wage Statistics (OEWS)National median annual wage for each occupation, by SOC code.BLS 2023–24; annual
10-year growth outlookU.S. Bureau of Labor Statistics β€” Employment Projections (EP)Projected 10-year percent change in employment, bucketed into an outlook tier.BLS 2023–24; annual
Occupation identityStandard Occupational Classification (SOC) system β€” U.S. Office of Management & Budget / BLSEvery career is mapped to an official SOC code that ties it to the federal record.Per SOC revision
Skills & education pathwaysO*NET β€” U.S. Department of LaborTypical skills, credentials, and education routes, reviewed by our editorial team.Per O*NET release
State population & incomeU.S. Census Bureau β€” American Community Survey (ACS)State population, median household income, and demographic context.Annual (per ACS release)
Local unemploymentU.S. Bureau of Labor Statistics β€” Local Area Unemployment Statistics (LAUS)State and county unemployment rates shown in workforce views.Monthly / annual (per BLS release)
How each figure is derived

From federal dataset to student screen

We're precise about what is a direct federal figure and what is a presentation aid β€” including where we model a value to make it easier to read.

Median salary
The national median annual wage published by BLS OEWS for the occupation, keyed to its SOC code. This is a federal figure and is not modeled or adjusted by us.
Wage range
Shown as an illustrative band of approximately Β±30% around the federal median, to communicate that pay varies by experience, employer, and location. This band is a presentation aid computed from the median β€” it is not a source-reported percentile, and actual local wages will differ.
10-year growth outlook & tiers
The projected 10-year percent change in employment from BLS Employment Projections, summarized into five plain-language tiers β€” Decline, Slow, Average, Fast, and Rapid β€” so students can compare outlooks at a glance. The underlying percentage is always available on the detailed profile.
SOC mapping & match confidence
Each career is mapped to a federal SOC code. Every profile carries a match-confidence label β€” for example a direct BLS match, a keyword match, or a catalog-derived match β€” so we always know how tightly a given profile is tied to the source record, and can prioritize review accordingly.
State & local workforce data
Population and median household income come from the Census Bureau (ACS); unemployment comes from BLS (LAUS). These are published federal statistics presented without modeling.
Career narrative & the role of AI
Plain-language descriptions ("what they do every day," typical skills, education path) are drafted against the verified figures above and carry an internal content-status label (for example: generated from catalog data, template draft, or human-reviewed). Where AI assists drafting, it is constrained to the verified data and reviewed by a person before publishing. AI never sets salaries, growth rates, or any quantitative figure.
Data governance

How we keep it accurate over time

Version-controlled source files
All figures live in committed, version-controlled data files β€” not scraped live from the open web. Every change is tracked and auditable in source history.
Provenance stamps
Each dataset is stamped with its source and a generation date, so any figure can be traced to the load that produced it.
Idempotent, reviewable loading
Data is loaded through a controlled, repeatable pipeline keyed on SOC codes and career slugs, so re-running it produces the same result and never silently overwrites reviewed content.
Correction workflow
Anyone can report a discrepancy. Corrections are triaged, applied at the source-file level, and re-published β€” we treat them as a first-class part of keeping the platform accurate.
Known limitations & scope

What our data does β€” and doesn't β€” claim

Stating limits plainly is part of being credible. Here is what to keep in mind when interpreting the figures.

  • Salary and growth figures are national. They are not cost-of-living-adjusted for a specific city, and local pay will differ.
  • The wage range is an illustrative Β±30% band around the median, not a source-reported percentile spread.
  • Employment projections are federal estimates of future trends, not guarantees.
  • LaunchPoint Navigator is an educational tool. It explains how careers, earnings, and college costs work β€” it does not provide personalized financial, investment, or lending advice, or recommend financial products.
Glossary

Key terms

SOC code
Standard Occupational Classification β€” the federal system that gives every occupation a unique identifier.
OEWS
Occupational Employment & Wage Statistics β€” the BLS program that publishes wage data by occupation.
Employment Projections
The BLS program that forecasts 10-year employment change by occupation.
ACS
American Community Survey β€” the U.S. Census Bureau survey behind population and income statistics.
LAUS
Local Area Unemployment Statistics β€” the BLS program behind state and county unemployment rates.

Spotted something that looks off? To report a possible discrepancy, contact support@mylaunchpoint.ai.

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