This is a 42.2 percent decrease from the previous year when there were 6,525 licenses issued.
Pennsylvania suffered a surge of unemployment and business closures due to the COVID-19 pandemic.
The average annual unemployment rate in the state more than doubled in 2020 to 9.1 percent. This was the highest annual unemployment rate in Pennsylvania since 2003.
Comparison of business licenses issued by County and Year
| County | Issued in 2022 | Issued in 2021 | Percentage change (%) |
|---|---|---|---|
| Adams | 320 | 505 | -36.6% |
| Allegheny | 5,707 | 10,351 | -44.9% |
| Armstrong | 168 | 282 | -40.4% |
| Beaver | 456 | 804 | -43.3% |
| Bedford | 67 | 103 | -35% |
| Berks | 1,022 | 1,630 | -37.3% |
| Blair | 319 | 524 | -39.1% |
| Bradford | 104 | 183 | -43.2% |
| Bucks | 2,802 | 4,474 | -37.4% |
| Butler | 292 | 521 | -44% |
| Cambria | 298 | 481 | -38% |
| Cameron | 18 | 16 | 12.5% |
| Carbon | 245 | 432 | -43.3% |
| Centre | 566 | 850 | -33.4% |
| Chester | 2,479 | 4,138 | -40.1% |
| Clarion | 65 | 84 | -22.6% |
| Clearfield | 118 | 182 | -35.2% |
| Clinton | 124 | 187 | -33.7% |
| Columbia | 233 | 300 | -22.3% |
| Crawford | 227 | 406 | -44.1% |
| Cumberland | 1,352 | 2,139 | -36.8% |
| Dauphin | 1,681 | 2,782 | -39.6% |
| Delaware | 2,032 | 4,367 | -53.5% |
| Elk | 52 | 103 | -49.5% |
| Erie | 1,064 | 1,460 | -27.1% |
| Erie Erie | 1 | 0 | - |
| Fayette | 277 | 410 | -32.4% |
| Forest | 10 | 9 | 11.1% |
| Franklin | 565 | 797 | -29.1% |
| Fulton | 25 | 24 | 4.2% |
| Greene | 90 | 129 | -30.2% |
| Hatfield Montgomery | 1 | 0 | - |
| Huntingdon | 103 | 189 | -45.5% |
| Indiana | 96 | 174 | -44.8% |
| Jefferson | 168 | 253 | -33.6% |
| Juniata | 67 | 104 | -35.6% |
| Lackawanna | 788 | 1,344 | -41.4% |
| Lancaster | 1,393 | 2,169 | -35.8% |
| Lawrence | 287 | 478 | -40% |
| Lebanon | 161 | 235 | -31.5% |
| Lehigh | 1,943 | 3,251 | -40.2% |
| Luzerne | 875 | 1,329 | -34.2% |
| Lycoming | 356 | 520 | -31.5% |
| Mckean | 46 | 71 | -35.2% |
| Mercer | 247 | 413 | -40.2% |
| Mifflin | 124 | 183 | -32.2% |
| Monroe | 680 | 1,235 | -44.9% |
| Montgomery | 3,771 | 6,525 | -42.2% |
| Montour | 68 | 102 | -33.3% |
| none Allegheny | 1 | 0 | - |
| Northampton | 964 | 1,525 | -36.8% |
| Northumberland | 175 | 283 | -38.2% |
| Perry | 122 | 182 | -33% |
| Philadelphia | 12,711 | 27,938 | -54.5% |
| Pike | 87 | 140 | -37.9% |
| Pittsburgh Allegheny | 1 | 0 | - |
| Potter | 46 | 64 | -28.1% |
| Schuylkill | 399 | 534 | -25.3% |
| Snyder | 129 | 178 | -27.5% |
| Somerset | 118 | 151 | -21.9% |
| Sullivan | 16 | 32 | -50% |
| Susquehanna | 79 | 157 | -49.7% |
| Tioga | 91 | 149 | -38.9% |
| Union | 134 | 201 | -33.3% |
| Venango | 70 | 139 | -49.6% |
| Warren | 37 | 63 | -41.3% |
| Washington | 587 | 936 | -37.3% |
| Wayne | 184 | 296 | -37.8% |
| Westmoreland | 1,073 | 1,725 | -37.8% |
| Wyoming | 35 | 51 | -31.4% |
| York | 1,646 | 2,531 | -35% |
ORGANIZATIONS IN THIS STORY
Borough of Malvern• Wyncote• Gilbertsville• Montgomeryville• Collegeville• Stowe• Borough of Souderton• Wyndmoor• Borough of Bridgeport• Trooper• City of Independence• Grove• Oreland• Plymouth Meeting• City of Philadelphia• Borough of Darby• Jenkintown Borough• Haverford Township• Spring City• Warrington• Worcester• City of Erie• Borough of White Oak• West Chester Borough• Borough of Telford• Borough of Royersford• Borough of Hatboro• Borough of Phoenixville• City of Lansdale• Borough of Conshohocken• City of Scranton• Narberth Borough• Sanatoga• Ardmore• Borough of Pottstown• Borough of Schwenksville• Spring House• Borough of Norristown• Limerick Township• Glenside• Borough of Red Hill• Borough of North Wales• Borough of Boyertown• Borough of Media• Penn Wynne• Blue Bell• Borough of Pennsburg• Borough of Downingtown• Rockville• Borough Of Trappe• Borough Of Rockledge• Cheltenham• Flourtown• Maple Glen• Borough Of East Greenville• West Norriton• Borough Of Hatfield• Upper Gwynedd• Lower Merion• Bryn Mawr• Borough Of Bally• Borough Of Bryn Athyn• Harleysville• Borough Of Lansdowne• Borough Of Green Lane• Borough Of Quakertown• Audubon• Fort Washington• Borough Of Ambler
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