Census LEHD
Hiring & commuting
Quarterly Workforce Indicators (employment, hires), LODES counts of jobs where people work versus where they live, and jobs at each workplace block group by pay band, age, and industry.
Published by Census LEHD
Finest detail county
Tables 3
How we use this · on 3 desks
“Do people commute into this county for work?”
Where you'll see it
- CareSite Ops: Facility dossier
- Health Care Loans & Sales: Facility dossier
- Business & Site Planning: 3 · Check an address, Business dynamics, SBA loans and lenders, Understand the place, and 2 more
- AI & Spreadsheets: at Level 3, link it into Excel or Google Sheets, download it, or ask your AI assistant about it
What we added
- Matched to the same county codes as every other source, so it lines up cleanly with all of them
Workforce indicators
Sample of 25 rows out of about 85,187
· 11 columns
| id | year | quarter | state_fips | county_fips | sex | agegrp | emp | emp_end | hira | earn_beg |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2019 | 1 | 01 | 001 | 0 | A00 | 8927.0 | 9037.0 | 1711.0 | 3427.0 |
| 2 | 2019 | 1 | 01 | 003 | 0 | A00 | 63056.0 | 65170.0 | 15294.0 | 2853.0 |
| 3 | 2019 | 1 | 01 | 005 | 0 | A00 | 6469.0 | 6451.0 | 1374.0 | 2780.0 |
| 4 | 2019 | 1 | 01 | 007 | 0 | A00 | 3130.0 | 3353.0 | 759.0 | 3290.0 |
| 5 | 2019 | 1 | 01 | 009 | 0 | A00 | 6644.0 | 6738.0 | 1190.0 | 2934.0 |
| 6 | 2019 | 1 | 01 | 011 | 0 | A00 | 2380.0 | 2438.0 | 501.0 | 2514.0 |
| 7 | 2019 | 1 | 01 | 013 | 0 | A00 | 5889.0 | 5853.0 | 1284.0 | 2745.0 |
| 8 | 2019 | 1 | 01 | 015 | 0 | A00 | 31973.0 | 32014.0 | 6566.0 | 3013.0 |
| 9 | 2019 | 1 | 01 | 017 | 0 | A00 | 6635.0 | 6696.0 | 1165.0 | 3329.0 |
| 10 | 2019 | 1 | 01 | 019 | 0 | A00 | 3860.0 | 3987.0 | 1145.0 | 2606.0 |
| 11 | 2019 | 1 | 01 | 021 | 0 | A00 | 7660.0 | 7685.0 | 1177.0 | 3268.0 |
| 12 | 2019 | 1 | 01 | 023 | 0 | A00 | 3475.0 | 3383.0 | 504.0 | 4825.0 |
| 13 | 2019 | 1 | 01 | 025 | 0 | A00 | 5984.0 | 5961.0 | 794.0 | 3400.0 |
| 14 | 2019 | 1 | 01 | 027 | 0 | A00 | 3550.0 | 3507.0 | 591.0 | 2876.0 |
| 15 | 2019 | 1 | 01 | 029 | 0 | A00 | 1352.0 | 1319.0 | 243.0 | 3363.0 |
| 16 | 2019 | 1 | 01 | 031 | 0 | A00 | 13990.0 | 14046.0 | 2906.0 | 2669.0 |
| 17 | 2019 | 1 | 01 | 033 | 0 | A00 | 19189.0 | 19070.0 | 3059.0 | 3457.0 |
| 18 | 2019 | 1 | 01 | 035 | 0 | A00 | 2609.0 | 2605.0 | 506.0 | 2858.0 |
| 19 | 2019 | 1 | 01 | 037 | 0 | A00 | 1204.0 | 1162.0 | 152.0 | 3423.0 |
| 20 | 2019 | 1 | 01 | 039 | 0 | A00 | 10049.0 | 10024.0 | 1691.0 | 2896.0 |
| 21 | 2019 | 1 | 01 | 041 | 0 | A00 | 3160.0 | 3117.0 | 447.0 | 2901.0 |
| 22 | 2019 | 1 | 01 | 043 | 0 | A00 | 24857.0 | 24846.0 | 4466.0 | 2996.0 |
| 23 | 2019 | 1 | 01 | 045 | 0 | A00 | 11599.0 | 11600.0 | 1546.0 | 4298.0 |
| 24 | 2019 | 1 | 01 | 047 | 0 | A00 | 9635.0 | 9651.0 | 1865.0 | 3141.0 |
| 25 | 2019 | 1 | 01 | 049 | 0 | A00 | 18718.0 | 18946.0 | 3619.0 | 2942.0 |
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