Local Data Search
A total of 38 results found. Show Results on Map.
| Rank | Construction, Extraction, Maintenance, and Repair Occupations Female Percentage ▼ | County / Population |
| 1. | 2.6% | Columbia, WA / 3,984 |
| 2. | 2.0% | Mason, WA / 56,341 |
| 3. | 1.8% | Garfield, WA / 2,129 |
| 4. | 1.7% | Skamania, WA / 10,666 |
| 5. | 1.6% | San Juan, WA / 15,295 |
| 6. | 1.5% | Asotin, WA / 21,198 |
| 7. | 1.5% | Island, WA / 80,723 |
| 8. | 1.4% | Kitsap, WA / 238,825 |
| 9. | 1.4% | Snohomish, WA / 673,709 |
| 10. | 1.4% | Lincoln, WA / 10,243 |
| 11. | 1.4% | Jefferson, WA / 29,223 |
| 12. | 1.4% | Klickitat, WA / 20,066 |
| 13. | 1.3% | Grant, WA / 83,612 |
| 14. | 1.3% | Okanogan, WA / 39,706 |
| 15. | 1.3% | Grays Harbor, WA / 71,117 |
| 16. | 1.2% | Chelan, WA / 70,668 |
| 17. | 1.2% | Pend Oreille, WA / 12,736 |
| 18. | 1.2% | Kittitas, WA / 38,428 |
| 19. | 1.2% | Benton, WA / 161,077 |
| 20. | 1.1% | Cowlitz, WA / 99,874 |
| 21. | 1.0% | Pierce, WA / 774,339 |
| 22. | 1.0% | Clallam, WA / 70,208 |
| 23. | 1.0% | Skagit, WA / 116,152 |
| 24. | 0.8% | Clark, WA / 416,205 |
| 25. | 0.7% | Spokane, WA / 454,927 |
| 26. | 0.7% | King, WA / 1,858,788 |
| 27. | 0.7% | Yakima, WA / 232,911 |
| 27. | 0.7% | Franklin, WA / 69,757 |
| 29. | 0.6% | Whatcom, WA / 192,886 |
| 30. | 0.6% | Pacific, WA / 21,341 |
| 31. | 0.6% | Thurston, WA / 239,248 |
| 32. | 0.5% | Lewis, WA / 73,459 |
| 33. | 0.4% | Whitman, WA / 41,793 |
| 34. | 0.3% | Douglas, WA / 36,145 |
| 35. | 0.3% | Walla Walla, WA / 57,795 |
| 36. | 0.3% | Adams, WA / 17,029 |
| 37. | 0.2% | Ferry, WA / 7,444 |
| 38. | 0.1% | Stevens, WA / 41,733 |
Please note that we only rank locations with 'Construction, Extraction, Maintenance, and Repair Occupations Female Percentage' data. The rank above might not be a complete list. Locations without 'Construction, Extraction, Maintenance, and Repair Occupations Female 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.