Pennsylvania Payroll Employment
By County
for The Federal Government Trade Transportation And Utilities Industry
in April, 2019
Updated on October 9, 2022.
According to recent data from the US Bureau of Labor Statistics, in April, 2019, Pennsylvania added 68 number of jobs to the federal government trade, transportation, and utilities industry. Among Pennsylvania counties, Philadelphia added the highest number of jobs (38), followed by Allegheny (21), and Lancaster (19).
Interact with the charts below to see for each county, the number of payroll employment, and the number of jobs added in April, 2019. 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 April, 2019
Pennsylvania Jobs added
By County
The Federal Government Trade Transportation And Utilities Industry
in April, 2019
Pennsylvania Payroll Employment
By County
for The Federal Government Trade Transportation And Utilities Industry
in April, 2019
Items per page:
0 of 0
| County | Number of Employment | Jobs Added |
|---|---|---|
| Adams | 134 | -1 |
| Allegheny | 4160 | 21 |
| Armstrong | 136 | 1 |
| Beaver | 251 | -1 |
| Bedford | 96 | -3 |
| Berks | 665 | 3 |
| Blair | 286 | 1 |
| Bradford | 129 | -1 |
| Bucks | 961 | -2 |
| Butler | 755 | 0 |
| Cambria | 358 | -5 |
| Cameron | 11 | -2 |
| Carbon | 104 | 0 |
| Centre | 213 | -2 |
| Chester | 938 | 5 |
| Clarion | 83 | 0 |
| Clearfield | 133 | -3 |
| Clinton | 58 | 2 |
| Columbia | 116 | 1 |
| Crawford | 143 | 2 |
| Cumberland | 410 | -2 |
| Dauphin | 1591 | -18 |
| Delaware | 907 | 1 |
| Elk | 59 | -3 |
| Erie | 540 | -9 |
| Fayette | 239 | 5 |
| Forest | 12 | 1 |
| Franklin | 187 | -5 |
| Fulton | 25 | 2 |
| Greene | 75 | 2 |
| Huntingdon | 73 | 0 |
| Indiana | 157 | 3 |
| Jefferson | 97 | 3 |
| Juniata | 37 | -1 |
| Lackawanna | 585 | 10 |
| Lancaster | 1108 | 19 |
| Lawrence | 162 | 2 |
| Lebanon | 174 | -2 |
| Lehigh | 556 | 13 |
| Luzerne | 675 | 10 |
| Lycoming | 209 | 5 |
| McKean | 88 | -3 |
| Mercer | 198 | -1 |
| Mifflin | 66 | 0 |
| Monroe | 231 | 5 |
| Montgomery | 1371 | -6 |
| Montour | 34 | 2 |
| Northampton | 945 | -6 |
| Northumberland | 144 | -2 |
| Perry | 82 | 0 |
| Philadelphia | 4676 | 38 |
| Pike | 61 | -2 |
| Potter | 34 | -1 |
| Schuylkill | 263 | 8 |
| Snyder | 59 | 0 |
| Somerset | 140 | -5 |
| Sullivan | 17 | -2 |
| Susquehanna | 92 | -1 |
| Tioga | 99 | -6 |
| Union | 68 | 2 |
| Venango | 84 | -3 |
| Warren | 75 | -1 |
| Washington | 366 | 1 |
| Wayne | 104 | 1 |
| Westmoreland | 650 | 4 |
| Wyoming | 50 | -1 |
| York | 606 | -5 |