Ohio Payroll Employment
By County
for The Private Information Industry
in October, 2020
Updated on January 9, 2024.
According to recent data from the US Bureau of Labor Statistics, in October, 2020, Ohio added -39 number of jobs to the private information industry. Among Ohio counties, Cuyahoga added the highest number of jobs (136), followed by Butler (35), and Licking (29).
Interact with the charts below to see for each county, the number of payroll employment, and the number of jobs added in October, 2020. This information can also be found in a table below.
You can see similar information for other states, and for the United States by state as well.
You can also see similar information for different industries.
Related Topics: Ohio BLS Topic List.
Data Source: US Bureau of Labor Statistics (QCEW).
See this for other months:
Ohio Payroll Employment
By County
for The Private Information Industry
in October, 2020
Ohio Jobs added
By County
The Private Information Industry
in October, 2020
Ohio Payroll Employment
By County
for The Private Information Industry
in October, 2020
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| County | Number of Employment | Jobs Added |
|---|---|---|
| Adams | 22 | 3 |
| Allen | 460 | 4 |
| Ashland | 169 | 4 |
| Ashtabula | 218 | 22 |
| Athens | 274 | -5 |
| Auglaize | 205 | 4 |
| Belmont | 233 | 16 |
| Brown | 19 | -1 |
| Butler | 911 | 35 |
| Carroll | 22 | 0 |
| Champaign | 43 | -1 |
| Clark | 100 | -8 |
| Clinton | 544 | -6 |
| Columbiana | 95 | 2 |
| Coshocton | 32 | -8 |
| Crawford | 40 | 6 |
| Cuyahoga | 9783 | 136 |
| Darke | 35 | 1 |
| Defiance | 142 | 2 |
| Delaware | 468 | -3 |
| Erie | 370 | -7 |
| Fairfield | 158 | -15 |
| Fayette | 33 | 3 |
| Franklin | 12421 | -34 |
| Fulton | 42 | 0 |
| Gallia | 33 | 2 |
| Geauga | 90 | 3 |
| Greene | 470 | -45 |
| Guernsey | 59 | -1 |
| Hamilton | 7922 | -59 |
| Hancock | 225 | 0 |
| Hardin | 32 | 3 |
| Harrison | 40 | 0 |
| Henry | 83 | -5 |
| Highland | 59 | 0 |
| Hocking | 21 | 1 |
| Holmes | 97 | 1 |
| Huron | 141 | -2 |
| Jackson | 52 | -1 |
| Jefferson | 175 | 1 |
| Knox | 71 | -42 |
| Lake | 625 | -6 |
| Lawrence | 63 | -1 |
| Licking | 236 | 29 |
| Logan | 60 | 0 |
| Lorain | 521 | -21 |
| Lucas | 1805 | 14 |
| Madison | 28 | 8 |
| Mahoning | 814 | 10 |
| Marion | 126 | 1 |
| Medina | 256 | -5 |
| Meigs | 14 | 0 |
| Mercer | 124 | -4 |
| Miami | 78 | -5 |
| Monroe | 11 | 0 |
| Montgomery | 5781 | -25 |
| Morgan | 21 | 2 |
| Morrow | 11 | 0 |
| Muskingum | 714 | 5 |
| Noble | 15 | -1 |
| Ottawa | 28 | 0 |
| Paulding | 21 | -3 |
| Perry | 13 | 0 |
| Pickaway | 23 | 1 |
| Pike | 29 | -1 |
| Portage | 341 | -5 |
| Preble | 13 | 0 |
| Putnam | 43 | -2 |
| Richland | 377 | -14 |
| Ross | 157 | -13 |
| Sandusky | 108 | 2 |
| Scioto | 111 | -4 |
| Seneca | 151 | -8 |
| Shelby | 82 | -3 |
| Stark | 1229 | -13 |
| Summit | 3876 | -15 |
| Trumbull | 290 | -11 |
| Tuscarawas | 172 | 0 |
| Union | 117 | 5 |
| Van Wert | 19 | 2 |
| Warren | 347 | -2 |
| Washington | 65 | -2 |
| Wayne | 165 | -6 |
| Williams | 60 | 8 |
| Wood | 877 | -5 |
| Wyandot | 40 | 0 |