US Occupation (Nation, State, County, MSA, ZIP, Census Tract)

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Description

This dataset shows (by year, class of worker, occupation, and area) occupation data including job counts by place of work, openings and replacement figures, earnings, and job counts by place of residence. The data is available back to 2001, with the exception of earnings, which is available for historical data from the current occupation year back to 2005. Jobs by place of work, replacements, and openings data are projected 10 years out beyond the current calendar year. Data is available at the nation, state, MSA, county, census tract, and ZIP code levels.

When requesting MSA codes or ZIP codes as the area constraint in a query, the code must be prepended by MSA or ZIP, respectively (e.g. for ZIP code 98102, use 'ZIP98102')

Use Cases

Questions answered by this dataset:

• How many pharmacist jobs existed in Florida in 2016? How many are projected to exist in 2026?
• What are the median earnings for purchasing managers in the ZIP codes or census tracts in the heart of Minneapolis?
• How many job openings will there be due to replacement needs for marketing managers in the US between now and 2028?
• Is the number of librarian jobs in Houston growing or declining?
• Do self-employed web developers in Santa Clara County, CA make more than web developers who are employees of companies?
• What are the 90th percentile earnings for graphic designers in the Washington DC metropolitan area?
• How many registered nurses live in the counties that make up Spokane, WA?

Metrics

• Jobs by place of work: The number of occupied positions in an area. This is not quite the same as workers because one worker might fill more than one position.
• Earnings.Average: Average hourly earnings for each job.
• Growth: Growth is the net (non-negative) change for each year, and is calculated at the lowest level and aggregated up. For these reasons, it often differs from job change as calculated by subtracting an earlier year's jobs from a later year's job counts. The growth metric is a component of the openings metric (growth + replacements = openings).
• Replacements: Replacements is the number of existing jobs that are estimated to have been vacated in the year. Replacements takes into account job openings that are created but that are not due to growth in the occupation.
• Openings: Openings is the sum of growth and replacement, and it refers to the estimated number of job openings that exist both due to growth in the occupation and replacement needs in the occupation.
• Jobs by place of residence: The number of people living in an area that hold a job within the occupation in question (not available at the census tract level)
• Earnings (current occupation year) or HistoricalEarnings (2005 - current occupation year) ** Percentile10: 10th percentile hourly earnings per worker. ** Percentile25: 25th percentile hourly earnings per worker. ** Percentile50: 50th percentile (median) hourly earnings per worker. ** Percentile75: 75th percentile hourly earnings per worker. ** Percentile90: 90th percentile hourly earnings per worker. ** Median.Annual: 50th percentile (median) annual earnings per worker. ** Percentile10.Annual: 10th percentile annual earnings per worker. ** Percentile25.Annual: 25th percentile annual earnings per worker. ** Percentile50.Annual: 50th percentile (median) annual earnings per worker. ** Percentile75.Annual: 75th percentile annual earnings per worker. ** Percentile90.Annual: 90th percentile annual earnings per worker.

Filters

• Class of Worker
• Area (Nation, State, MSA, County, Census Tract, ZIP code)
• Occupation (5-digit SOC)
• Year

Core LMI Metadata