US OES (Nation, State)

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Ready to use this data? See the Core LMI reference documentation to get started.

Description

The OES raw dataset shows the Occupational Employment Statistics (OES) employment and annual earnings data. Data are available at the national and state level for the most recent OES year. Occupation codes include detailed occupations from the Standard Occupational Classification (SOC) system. Go to https://www.bls.gov/oes/oes_emp.htm#overview to read more about the OES dataset.

In order to preserve the integrity of the raw data, no aggregations are performed. Consequently, queries can only include identity mappings; i.e. users can only request a single occupation code and a single area per mapping.

OES does not disclose earnings percentiles above their topcode value. In such cases, the earnings percentiles values will show zero, but the user can find the topcode value in the /meta/ endpoint for this dataset.

Use Cases

Questions answered by this dataset:

• How many pharmacist jobs are there in Florida?
• Which state has the most special effects animators jobs after California?
• What are the median earnings for purchasing managers in Minneapolis? How about the 75th percentile earnings?

Metrics

• Jobs: The number of occupied positions. This is not quite the same as workers because one worker might fill more than one position.
• Earnings.Average.Annual: Average annual earnings per worker.
• Earnings.Median.Annual: 50th percentile (median) annual earnings per worker.
• Earnings.Percentile10.Annual: 10th percentile annual earnings per worker.
• Earnings.Percentile25.Annual: 25th percentile annual earnings per worker.
• Earnings.Percentile50.Annual: 50th percentile (median) annual earnings per worker.
• Earnings.Percentile75.Annual: 75th percentile annual earnings per worker.
• Earnings.Percentile90.Annual: 90th percentile annual earnings per worker.

Filters

• Area (Nation, State)
• Occupation (5-digit SOC)
• Year

Core LMI Metadata