Local Data Search
A total of 41 results found. Show Results on Map.
| Rank | Farming, Fishing, and Forestry Occupations Female Percentage ▼ | City / Population |
| 1. | 85.7% | Niagara, ND / 66 |
| 2. | 21.7% | Hoople, ND / 363 |
| 3. | 15.2% | Cleveland, ND / 112 |
| 4. | 12.5% | Saint Thomas, ND / 293 |
| 5. | 7.5% | Killdeer, ND / 965 |
| 6. | 7.1% | Pettibone, ND / 85 |
| 7. | 7.0% | Berthold, ND / 555 |
| 8. | 6.5% | Carson, ND / 307 |
| 9. | 6.3% | Steele, ND / 657 |
| 10. | 6.3% | Tappen, ND / 282 |
| 11. | 5.3% | Sherwood, ND / 213 |
| 12. | 4.4% | Dwight, ND / 68 |
| 13. | 4.1% | Powers Lake, ND / 347 |
| 14. | 3.5% | Milnor, ND / 628 |
| 15. | 3.3% | Michigan City, ND / 246 |
| 16. | 3.0% | Wimbledon, ND / 205 |
| 17. | 2.9% | Mcclusky, ND / 349 |
| 18. | 2.6% | South Heart, ND / 246 |
| 19. | 2.5% | Bowbells, ND / 367 |
| 20. | 2.1% | Carrington, ND / 2,050 |
| 21. | 2.0% | Maddock, ND / 388 |
| 22. | 2.0% | Parshall, ND / 1,123 |
| 23. | 1.9% | Grafton, ND / 4,307 |
| 24. | 1.7% | Richardton, ND / 487 |
| 25. | 1.6% | Walhalla, ND / 1,191 |
| 26. | 1.2% | Mott, ND / 751 |
| 27. | 1.1% | Scranton, ND / 308 |
| 27. | 1.1% | Cando, ND / 1,036 |
| 29. | 1.1% | Washburn, ND / 1,252 |
| 30. | 1.0% | Wahpeton, ND / 7,769 |
| 31. | 1.0% | Park River, ND / 1,491 |
| 32. | 0.8% | Devils Lake, ND / 7,129 |
| 33. | 0.8% | Bowman, ND / 1,605 |
| 34. | 0.6% | Dickinson, ND / 18,140 |
| 35. | 0.5% | Oakes, ND / 1,877 |
| 36. | 0.4% | Jamestown, ND / 15,333 |
| 37. | 0.2% | Bottineau, ND / 2,290 |
| 37. | 0.2% | Fargo, ND / 106,005 |
| 39. | 0.1% | Minot, ND / 41,251 |
| 40. | 0.1% | Grand Forks, ND / 52,773 |
| 41. | 0.1% | Bismarck, ND / 61,941 |
Please note that we only rank locations with 'Farming, Fishing, and Forestry Occupations Female Percentage' data. The rank above might not be a complete list. Locations without 'Farming, Fishing, and Forestry 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.