Fastest-Growing Counties in Wyoming
Wyoming's counties, ranked by how much their population changed between two official U.S. Census Bureau estimates.
Population change from July 1, 2020 to July 1, 2025 · all 23 counties ranked
| Rank | County | 2020 | 2025 | Change | % change |
|---|---|---|---|---|---|
| 1 | Crook County | 7,183 | 7,852 | +669 | +9.3% |
| 2 | Lincoln County | 19,654 | 21,180 | +1,526 | +7.8% |
| 3 | Sheridan County | 31,006 | 33,241 | +2,235 | +7.2% |
| 4 | Johnson County | 8,469 | 8,908 | +439 | +5.2% |
| 5 | Park County | 29,670 | 31,171 | +1,501 | +5.1% |
| 6 | Big Horn County | 11,480 | 12,024 | +544 | +4.7% |
| 7 | Albany County | 37,107 | 38,558 | +1,451 | +3.9% |
| 8 | Laramie County | 100,727 | 102,938 | +2,211 | +2.2% |
| 9 | Sublette County | 8,740 | 8,929 | +189 | +2.2% |
| 10 | Campbell County | 47,146 | 48,145 | +999 | +2.1% |
| 11 | Uinta County | 20,462 | 20,728 | +266 | +1.3% |
| 12 | Goshen County | 12,520 | 12,640 | +120 | +1.0% |
| 13 | Fremont County | 39,192 | 39,464 | +272 | +0.7% |
| 14 | Converse County | 13,748 | 13,824 | +76 | +0.6% |
| 15 | Weston County | 6,820 | 6,840 | +20 | +0.3% |
| 16 | Natrona County | 80,299 | 80,526 | +227 | +0.3% |
| 17 | Platte County | 8,632 | 8,634 | +2 | +0.02% |
| 18 | Teton County | 23,381 | 23,333 | -48 | -0.2% |
| 19 | Hot Springs County | 4,621 | 4,600 | -21 | -0.5% |
| 20 | Washakie County | 7,659 | 7,597 | -62 | -0.8% |
| 21 | Sweetwater County | 42,194 | 41,267 | -927 | -2.2% |
| 22 | Carbon County | 14,508 | 14,013 | -495 | -3.4% |
| 23 | Niobrara County | 2,451 | 2,341 | -110 | -4.5% |
About this ranking
- Source
- U.S. Census Bureau — County Resident Population Estimates (CO-EST2025-ALLDATA), Vintage 2025
- Reference interval
- July 1, 2020 to July 1, 2025, both from the same release
- Universe
- 23 counties in Wyoming; 23 ranked
- Ranked by
- Percentage change, largest increase first
- Formula
- Change = 2025 estimate − 2020 estimate; percentage = change ÷ 2020 estimate × 100
- Ties
- Counties with equal percentage change share a rank; their display order is settled by name and then by official Census geographic identifier, so the order is the same everywhere.
A percentage change can look large when the starting population is small, which is why every row shows both endpoint estimates and the numeric change beside it. These estimates record how a county's population changed, not why it changed.