Pennsylvania Payroll Employment
By County
for The Federal Government Trade Transportation And Utilities Industry
in January, 2021
Updated on October 9, 2022.
According to recent data from the US Bureau of Labor Statistics, in January, 2021, Pennsylvania added 25,954 number of jobs to the federal government trade, transportation, and utilities industry. Among Pennsylvania counties, Berks added the highest number of jobs (17), followed by York (9), and Blair (6).
Interact with the charts below to see for each county, the number of payroll employment, and the number of jobs added in January, 2021. 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: Pennsylvania BLS Topic List.
Data Source: US Bureau of Labor Statistics (QCEW).
See this for other months:
Pennsylvania Payroll Employment
By County
for The Federal Government Trade Transportation And Utilities Industry
in January, 2021
Pennsylvania Jobs added
By County
The Federal Government Trade Transportation And Utilities Industry
in January, 2021
Pennsylvania Payroll Employment
By County
for The Federal Government Trade Transportation And Utilities Industry
in January, 2021
Items per page:
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| County | Number of Employment | Jobs Added |
|---|---|---|
| Adams | 136 | -1 |
| Allegheny | 4099 | -167 |
| Armstrong | 126 | 1 |
| Beaver | 254 | 4 |
| Bedford | 93 | 0 |
| Berks | 640 | 17 |
| Blair | 285 | 6 |
| Bradford | 122 | -7 |
| Bucks | 933 | -22 |
| Butler | 728 | -32 |
| Cambria | 349 | -1 |
| Cameron | 12 | 1 |
| Carbon | 101 | 3 |
| Centre | 214 | -2 |
| Chester | 863 | -13 |
| Clarion | 83 | -2 |
| Clearfield | 125 | -6 |
| Clinton | 59 | 0 |
| Columbia | 112 | 2 |
| Crawford | 135 | 0 |
| Cumberland | 414 | -7 |
| Dauphin | 1544 | -62 |
| Delaware | 865 | -10 |
| Elk | 61 | -1 |
| Erie | 537 | -4 |
| Fayette | 234 | -7 |
| Forest | 11 | -1 |
| Franklin | 196 | 3 |
| Fulton | 27 | 0 |
| Greene | 85 | 5 |
| Huntingdon | 72 | -1 |
| Indiana | 149 | -3 |
| Jefferson | 94 | 1 |
| Juniata | 37 | 1 |
| Lackawanna | 554 | -5 |
| Lancaster | 1077 | -20 |
| Lawrence | 160 | 4 |
| Lebanon | 170 | 0 |
| Lehigh | 542 | -4 |
| Luzerne | 658 | -9 |
| Lycoming | 213 | 4 |
| McKean | 86 | -1 |
| Mercer | 206 | -5 |
| Mifflin | 62 | 0 |
| Monroe | 231 | 5 |
| Montgomery | 1309 | 6 |
| Montour | 32 | 0 |
| Northampton | 916 | -48 |
| Northumberland | 146 | -4 |
| Perry | 81 | 0 |
| Philadelphia | 4687 | -295 |
| Pike | 66 | 2 |
| Potter | 34 | 2 |
| Schuylkill | 252 | 0 |
| Snyder | 63 | 0 |
| Somerset | 148 | 2 |
| Sullivan | 17 | 0 |
| Susquehanna | 84 | -4 |
| Tioga | 103 | 1 |
| Union | 66 | -1 |
| Venango | 94 | 2 |
| Warren | 73 | 4 |
| Washington | 371 | -1 |
| Wayne | 102 | 4 |
| Westmoreland | 619 | 0 |
| Wyoming | 49 | 2 |
| York | 584 | 9 |