MSA Wages Explained: What Metro Area Pay Data Means
MSA wages explained: what a metropolitan statistical area is, how BLS reports pay by metro, mean vs. median, limits, and how to use the numbers.
By the Salary Atlas editorial team · Published

An MSA wage is the typical pay for a job inside a metropolitan statistical area, meaning a city and the commuter region around it, as measured by a federal survey. It is not the pay at a company called MSA. If your search turned up pages about one safety-equipment employer, that is a different topic, and we separate the two below. This guide covers what an MSA is, where the wage numbers come from, how to read mean, median and percentiles, and where the data falls short.
TL;DR
- An MSA is a federally defined labor-market area: an urban core of at least 50,000 people plus adjacent counties tied to it by commuting.
- Official MSA wage figures come from the BLS Occupational Employment and Wage Statistics (OEWS) program, which covers roughly 530 metropolitan and nonmetropolitan areas.
- Use the median and the percentiles, not just the mean, because pay distributions are skewed.
- OEWS is a point-in-time snapshot built from three years of surveys, so treat year-over-year comparisons with caution.
- Salary pages for a company named MSA are employer estimates, not metro wage statistics.
Table of Contents
- What an MSA is
- Where MSA wage figures come from
- What each MSA wage number tells you
- How to compare your metro with the national figure
- How current MSA wage data is
- Limits of MSA wage data
- Perspective: why we keep MSA wages plain
- Using MSA wages: job seekers, students, advisors and employers
- MSA wages versus pay at a company named MSA
- Find the numbers behind your own pay question
- FAQ
- Sources
What an MSA is
MSA stands for metropolitan statistical area. The Bureau of Economic Analysis describes it as one or more counties containing an urban area of at least 50,000 people, plus economically integrated adjacent counties measured mainly through commuting ties. The same document explains that the Office of Management and Budget draws these boundaries and updates them when warranted.
In practice, that means "Dallas-Fort Worth-Arlington" is one MSA even though it spans many counties and cities. A worker who lives in a suburb and commutes into the core is counted in the same labor market. That is why wage data uses MSAs instead of city limits: the labor market, not the city line, is what sets the going rate for a nurse or an electrician.
Where MSA wage figures come from
The main source is the BLS Occupational Employment and Wage Statistics survey. Former BLS Commissioner Erica Groshen described it in congressional testimony as a federal survey built to provide detailed wage and employment data for occupations, using standard occupational, industry and metropolitan-area classifications. Because every source uses the same occupation codes and the same MSA definitions, the numbers can be compared across places.
OEWS measures occupational employment and wage rates for wage-and-salary workers in nonfarm establishments. According to the Oklahoma Employment Security Commission's 2024 report, it publishes estimates for approximately 530 metropolitan and nonmetropolitan areas.
Two things follow from that design:
- The survey asks employers, not workers. Salary Atlas uses BLS figures only and excludes self-reported or scraped data for the same reason: employer-reported, standardized data is what makes metro comparisons fair.
- The survey covers wage-and-salary jobs at nonfarm establishments. Self-employed people, for example, are outside its scope.
What each MSA wage number tells you
For each occupation in each area, OEWS publishes more than one number. The dataset includes hourly and annual mean, median, and 10th, 25th, 75th and 90th percentile wages. Here is how to read them.
| Figure | What it means | Best used for |
|---|---|---|
| Mean | Total wages divided by number of workers | Rough totals, payroll budgeting across a whole workforce |
| Median (50th percentile) | Half earn less, half earn more | The "typical" worker in the occupation |
| 10th percentile | Only 10% earn less | Entry-level or lowest-paid offers |
| 25th percentile | A quarter earn less | Early-career or smaller-employer pay |
| 75th percentile | A quarter earn more | Experienced workers, strong negotiation targets |
| 90th percentile | Only 10% earn more | Senior specialists and top-paying employers |
Mean versus median
The mean gets pulled upward by a small number of very high earners. The Social Security Administration makes the point with national wages: the median is the wage in the middle, and it is substantially less than the average because the distribution is highly skewed. The same logic applies inside a metro.
A Census Bureau Center for Economic Studies report compares mean earnings with the 10th, 25th, 50th, 75th and 90th percentiles at the metropolitan level and shows that the mean alone can hide how earnings are spread across a local labor market. If you are checking whether an offer is fair, start with the median and then see where the offer falls between the 25th and 75th percentiles.
We walk through the calculation in how to calculate the median wage and explain the full ladder in what hourly wage percentiles mean.
A worked example
Suppose a metro reports these annual wages for an occupation: 10th percentile $38,000, median $55,000, 75th percentile $68,000 and mean $59,000. These numbers are illustrative, not real data. The mean sits above the median because high earners lift it. An offer of $52,000 is below the typical worker but well above the bottom tenth, which tells you it is a low-to-mid offer, not a lowball. An offer of $68,000 matches what the top quarter earns, so you would need experience or a specialty to justify asking for it.
How to compare your metro with the national figure
Because the classifications are standardized, you can line up the same occupation in two MSAs and against the national estimate. Groshen's testimony notes that standard occupation, industry and metro codes make wage data comparable across sources, while survey design and sampling limit precision. A practical routine:
- Pick the exact occupation title, not a similar one. Pay for "software developers" and "web developers" differs a lot.
- Pull the median and the 25th and 75th percentiles for your MSA.
- Pull the same three numbers nationally.
- Compare the gap in the median first, then check whether the spread (75th minus 25th) is wider or narrower locally.
- Weigh the gap against local living costs before deciding a higher-paying metro is actually better.
Arkansas's occupational-wage publication adds a caution worth remembering: wage differences across areas should be read alongside occupational composition, because an area's overall average reflects both pay within occupations and the mix of occupations present. A metro full of engineers will have a high all-occupations average even if its cashiers are paid the same as elsewhere. Compare one occupation at a time.
If you are weighing a move or a remote job, our explainer on how location-based pay works covers how employers translate metro differences into pay.
How current MSA wage data is
OEWS is not a live feed. It is published annually, and the reference period is May of the survey year. The Department of Labor's Office of Foreign Labor Certification states that for the July 2025 to June 2026 wage year, its figures are based on BLS May 2024 wage estimates. So when you read "current" MSA wages, you are often reading data one to two years old.
Three features of the method matter when you read the numbers:
- Pooled samples. California's official guidance explains that OEWS pools employer surveys from the prior three years, adjusts weights, benchmarks to recent employment counts and updates older collection periods using the national Employment Cost Index. A published figure is therefore a blend, not a single-month reading.
- Point in time. The same California guidance says the estimates are designed as point-in-time numbers rather than a continual time series, and that BLS does not encourage time-series analysis because methodology, collection and occupational coding changes affect comparability.
- Boundary changes. The Labor Department's technical notes say May 2024 estimates use MSA delineations based on the 2020 Census, which produced new areas, compositional or naming changes and discontinued areas. BEA's methodology makes the consequence plain: when definitions change, geographic series can become non-comparable unless the publisher rebuilds the history consistently.
Limits of MSA wage data
Groshen's testimony lists several limits that still apply to how the survey is used:
- Small samples. In small occupations or small metros, sampling error is larger. Some estimates are suppressed to protect respondent confidentiality or because they are unreliable. If a cell is blank, that is why.
- No county estimates. OEWS cannot produce county-level figures, and it does not provide every geographic breakdown users want. If you live in a small county, the MSA or state figure is the closest official proxy.
- Establishments, not worksites. Data is collected from business establishments rather than individual job sites, which matters for construction and other work that moves around.
Perspective: why we keep MSA wages plain
We built Salary Atlas around one rule: every figure comes from the Bureau of Labor Statistics and links back to its origin, with no estimates filled in where the data is missing. MSA wages are where that rule is tested most. Small metros have thin samples, boundaries change, and it is tempting to smooth over the gaps with scraped postings or user submissions. We would rather show a missing cell than invent a number.
Our advice follows from that. Treat the median as your anchor and the 25th to 75th percentile range as your realistic negotiating zone. Use the 90th percentile as a ceiling that tells you what top specialists earn, not a promise. Do not read a one-year change in a metro as a trend. And always ask whether a gap between two cities comes from pay for the same job or from a different mix of jobs. The data supports career planning and pay-setting well, but it works best when readers understand what it can and cannot say.
, Joelen Zyoktova
Using MSA wages: job seekers, students, advisors and employers
Washington's employment agency notes that OEWS estimates can be used for career planning, setting wages, and comparing wages by region and occupation. Arkansas's publication adds that metro data can help assess whether relocation may be beneficial for businesses, identify occupational labor availability and compare wages between alternative areas. Here is how that plays out for each reader.
Job seekers
Before a salary conversation, look up your occupation in your MSA. If the offer falls under the median, you have a data-backed reason to ask for more. If you have the experience to justify the upper range, our guide to negotiating with the 75th percentile shows the steps. For context on how posted ranges shape these talks, see what the evidence shows on salary transparency.
Students
Compare the median for the careers you are considering in the metros where you might live, then check the outlook. Our piece on job outlook versus job growth explains why a high-growth field can still pay modestly in a given metro, and the list of fastest growing jobs is a starting point for ideas.
Career advisors and HR teams
Advisors can show clients the full percentile spread instead of one average. HR teams setting pay bands should compare the metro median for each role with the national figure and decide deliberately whether to pay at, above or below the local market. Employers who hire abroad face a different data picture, since other countries publish pay benchmarks in their own formats, such as these South Africa salary benchmarks for remote workers.
MSA wages versus pay at a company named MSA
Search results for this phrase are full of pages about a single safety-equipment employer, with figures such as an average field service technician salary. Those pages are employer-specific pay estimates built from the company's own reported or submitted salaries. They answer "what does that employer pay?" and say nothing about metropolitan wage levels.
Here is a quick way to tell them apart:
| Check | Metro wage data (OEWS) | Company salary page |
|---|---|---|
| What it covers | All employers in an occupation and metro | One employer |
| Source | BLS survey of employers | Often user submissions or modeled estimates |
| Figures shown | Mean, median, percentiles | Usually one average |
| Geography | A defined MSA | Often the whole country |
Find the numbers behind your own pay question
Salary Atlas publishes BLS wage data by job title, percentile and state, with hourly and annual rates, no paywall and no signup. Each figure links to the BLS source, so you can verify it yourself. A good place to start is the BLS salary data by job and state guide, or head to the Salary Atlas home page to look up an occupation.
FAQ
What is an MSA in jobs?
It is a metropolitan statistical area, a federally defined region built around an urban core of at least 50,000 people and the nearby counties closely tied to it by commuting. Job and wage statistics use MSAs to describe local labor markets. The boundaries are set by OMB and updated periodically.
Where do MSA wages come from?
Most come from the BLS Occupational Employment and Wage Statistics program, a survey of employers. It publishes mean, median and percentile wages for each occupation in each metropolitan area. Figures are released annually and reflect pooled data from several years.
Should I use the mean or the median MSA wage?
Use the median for what a typical worker earns. The mean is pulled up by high earners, so it usually runs higher than the median. Use the 25th and 75th percentiles to judge whether an offer is low, fair or strong.
Why is the wage for my occupation missing in my metro?
BLS can suppress an estimate to protect respondent confidentiality or because the sample is too small to be reliable. In that case, look at the nearest larger MSA or the state figure. County-level numbers are not available from this survey.
Can I compare this year's MSA wages with last year's?
Only with care. The estimates are point-in-time snapshots, and changes in methodology, occupation codes and MSA boundaries can make year-to-year comparisons misleading. Compare the same occupation across places in one release instead.
Sources
- BEA: Local Area Personal Income and Employment, Concepts and Methods
- Statement of Erica L. Groshen, Commissioner, Bureau of Labor Statistics
- Oklahoma Employment Security Commission: Oklahoma Wage Report 2024
- SSA: Average wages, median wages, and wage dispersion
- Census Bureau: Comparing Mean Earnings and Earnings Percentiles for Local Labor Markets
- OEWS May 2020 dataset documentation
- Arkansas Occupational Employment & Wage Survey
- DOL OFLC Technical Release Notes, July 2025 through June 2026 wage year
- California EDD: OES Wages, About the Data
- Washington Employment Security Department: OEWS
- South Africa salary benchmarks for remote workers
Recommended
Occupation wage figures on Salary Atlas come from the U.S. Bureau of Labor Statistics. Figures in this article that are not linked to a source are estimates. See our methodology.