A total of 44 results found. Show Results on Map.
Rank | Employed Male Civilian Population Percentage ▼ | County / Population |
1. | 81.7% | Teton, ID / 9,413 |
2. | 80.9% | Clark, ID / 857 |
3. | 73.6% | Blaine, ID / 21,329 |
4. | 72.3% | Jerome, ID / 21,282 |
5. | 72.1% | Franklin, ID / 12,497 |
6. | 71.8% | Bonneville, ID / 100,213 |
7. | 71.3% | Camas, ID / 1,216 |
8. | 71.1% | Jefferson, ID / 24,523 |
9. | 71.0% | Custer, ID / 4,277 |
10. | 70.7% | Lincoln, ID / 5,021 |
10. | 70.7% | Fremont, ID / 13,062 |
12. | 70.6% | Caribou, ID / 6,900 |
13. | 69.3% | Ada, ID / 380,718 |
14. | 69.0% | Madison, ID / 36,413 |
15. | 68.7% | Cassia, ID / 22,109 |
16. | 68.4% | Bingham, ID / 44,496 |
17. | 68.3% | Minidoka, ID / 19,524 |
18. | 67.9% | Twin Falls, ID / 74,929 |
19. | 67.5% | Bannock, ID / 80,701 |
20. | 66.8% | Oneida, ID / 4,212 |
21. | 66.6% | Power, ID / 7,633 |
22. | 66.2% | Valley, ID / 9,846 |
23. | 65.2% | Bear Lake, ID / 6,026 |
24. | 64.8% | Canyon, ID / 182,723 |
25. | 64.7% | Kootenai, ID / 134,851 |
26. | 64.4% | Gooding, ID / 15,140 |
27. | 63.3% | Nez Perce, ID / 38,886 |
28. | 61.9% | Payette, ID / 22,451 |
29. | 61.5% | Latah, ID / 36,645 |
30. | 60.6% | Owyhee, ID / 11,389 |
31. | 60.4% | Washington, ID / 10,105 |
32. | 60.1% | Boise, ID / 7,122 |
33. | 58.9% | Adams, ID / 3,942 |
34. | 58.6% | Bonner, ID / 40,711 |
35. | 58.3% | Lemhi, ID / 7,861 |
36. | 58.0% | Gem, ID / 16,778 |
37. | 57.6% | Butte, ID / 2,842 |
38. | 55.0% | Benewah, ID / 9,302 |
39. | 54.7% | Boundary, ID / 10,792 |
40. | 53.4% | Lewis, ID / 3,761 |
41. | 52.4% | Elmore, ID / 26,669 |
42. | 51.8% | Shoshone, ID / 12,917 |
43. | 47.5% | Idaho, ID / 15,947 |
44. | 44.1% | Clearwater, ID / 8,766 |
Please note that we only rank locations with 'Employed Male Civilian Population Percentage' data. The rank above might not be a complete list. Locations without 'Employed Male Civilian Population Percentage' data are not listed.
*ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.