Coverage gap ยท County rankings
Counties with the lowest NFIP coverage in high-risk flood areas
U.S. counties ranked by the lowest residential NFIP penetration within Special Flood Hazard Areas.
Top 100 counties2,267 counties with available data
Rankings update with the underlying FEMA datasets.
| Rank | County | State | SFHA coverage | 10-year claims |
|---|---|---|---|---|
| 1 | Keokuk | Iowa | 0.2% | 0 |
| 2 | Appanoose | Iowa | 0.4% | 0 |
| 3 | Amite | Mississippi | 0.5% | 1 |
| 4 | Barry | Missouri | 0.8% | 5 |
| 5 | Carroll | Arkansas | 0.8% | 5 |
| 6 | Polk | Missouri | 0.8% | 2 |
| 7 | Morgan | Georgia | 0.8% | 1 |
| 8 | Roscommon | Michigan | 0.9% | 3 |
| 9 | Lee | Iowa | 1.0% | 18 |
| 10 | DeKalb | Missouri | 1.0% | 0 |
| 11 | Perry | Alabama | 1.0% | 0 |
| 12 | Ozark | Missouri | 1.1% | 4 |
| 13 | Putnam | Georgia | 1.2% | 2 |
| 14 | Linn | Missouri | 1.3% | 3 |
| 15 | Webster | Missouri | 1.3% | 4 |
| 16 | Bullock | Alabama | 1.3% | 0 |
| 17 | Heard | Georgia | 1.3% | 0 |
| 18 | Prentiss | Mississippi | 1.4% | 0 |
| 19 | Beadle | South Dakota | 1.4% | 2 |
| 20 | Wabash | Illinois | 1.4% | 0 |
| 21 | Monroe | Missouri | 1.5% | 0 |
| 22 | Charles Mix | South Dakota | 1.5% | 5 |
| 23 | Nodaway | Missouri | 1.5% | 1 |
| 24 | Hancock | Georgia | 1.7% | 0 |
| 25 | Dallas | Arkansas | 1.7% | 0 |
| 26 | Pittsylvania | Virginia | 1.7% | 12 |
| 27 | Marion | Iowa | 1.7% | 1 |
| 28 | Hamilton | Iowa | 1.8% | 0 |
| 29 | Casey | Kentucky | 1.8% | 11 |
| 30 | Lawrence | Illinois | 1.8% | 7 |
| 31 | Pulaski | Kentucky | 1.8% | 12 |
| 32 | Pocahontas | Iowa | 1.9% | 0 |
| 33 | Macon | Alabama | 1.9% | 3 |
| 34 | Robertson | Kentucky | 2.0% | 0 |
| 35 | Macon | Missouri | 2.0% | 0 |
| 36 | Valley | Idaho | 2.1% | 0 |
| 37 | Wilkes | North Carolina | 2.1% | 14 |
| 38 | Blaine | Montana | 2.2% | 1 |
| 39 | Alcona | Michigan | 2.3% | 6 |
| 40 | Polk | Nebraska | 2.3% | 2 |
| 41 | Calhoun | Georgia | 2.3% | 0 |
| 42 | Highland | Ohio | 2.3% | 0 |
| 43 | Cleburne | Alabama | 2.4% | 0 |
| 44 | Fillmore | Nebraska | 2.4% | 0 |
| 45 | Conecuh | Alabama | 2.4% | 0 |
| 46 | Chippewa | Michigan | 2.4% | 3 |
| 47 | Clinton | Illinois | 2.4% | 4 |
| 48 | Montgomery | Missouri | 2.4% | 1 |
| 49 | Nuckolls | Nebraska | 2.4% | 1 |
| 50 | Lee | South Carolina | 2.4% | 7 |
| 51 | Martin | Indiana | 2.5% | 3 |
| 52 | Lafayette | Missouri | 2.5% | 0 |
| 53 | Broadwater | Montana | 2.5% | 0 |
| 54 | Nance | Nebraska | 2.6% | 3 |
| 55 | Park | Wyoming | 2.6% | 2 |
| 56 | Wapello | Iowa | 2.6% | 7 |
| 57 | Adams | Iowa | 2.6% | 0 |
| 58 | Butler | Alabama | 2.7% | 0 |
| 59 | Columbia | Arkansas | 2.7% | 0 |
| 60 | Meigs | Tennessee | 2.7% | 1 |
| 61 | Adams | Wisconsin | 2.7% | 19 |
| 62 | Gray | Texas | 2.7% | 0 |
| 63 | Frederick | Virginia | 2.8% | 15 |
| 64 | McCurtain | Oklahoma | 2.8% | 11 |
| 65 | Cumberland | Illinois | 2.8% | 0 |
| 66 | Worth | Iowa | 2.8% | 2 |
| 67 | Edmonson | Kentucky | 2.8% | 0 |
| 68 | Valley | Nebraska | 2.8% | 2 |
| 69 | Grant | South Dakota | 2.8% | 1 |
| 70 | Washington | Alabama | 2.8% | 4 |
| 71 | Washington | Indiana | 2.8% | 11 |
| 72 | Owsley | Kentucky | 2.8% | 4 |
| 73 | Furnas | Nebraska | 2.8% | 1 |
| 74 | Cloud | Kansas | 2.9% | 2 |
| 75 | Marion | Kansas | 2.9% | 7 |
| 76 | Tippah | Mississippi | 2.9% | 0 |
| 77 | Iron | Missouri | 2.9% | 8 |
| 78 | Greenlee | Arizona | 3.0% | 1 |
| 79 | Lincoln | West Virginia | 3.0% | 20 |
| 80 | Hall | Nebraska | 3.0% | 20 |
| 81 | Sherman | Nebraska | 3.0% | 0 |
| 82 | Elbert | Georgia | 3.0% | 0 |
| 83 | Calhoun | Iowa | 3.0% | 0 |
| 84 | McCreary | Kentucky | 3.0% | 1 |
| 85 | Oregon | Missouri | 3.0% | 3 |
| 86 | Wright | Missouri | 3.0% | 2 |
| 87 | Webster | Nebraska | 3.0% | 2 |
| 88 | Franklin | Mississippi | 3.1% | 1 |
| 89 | Greene | Mississippi | 3.1% | 4 |
| 90 | Crawford | Michigan | 3.1% | 1 |
| 91 | Wirt | West Virginia | 3.1% | 1 |
| 92 | Swift | Minnesota | 3.2% | 2 |
| 93 | Brunswick | Virginia | 3.2% | 3 |
| 94 | Karnes | Texas | 3.2% | 3 |
| 95 | Ritchie | West Virginia | 3.2% | 2 |
| 96 | Crenshaw | Alabama | 3.2% | 0 |
| 97 | Grundy | Missouri | 3.2% | 2 |
| 98 | Walsh | North Dakota | 3.2% | 7 |
| 99 | Harmon | Oklahoma | 3.3% | 0 |
| 100 | Kiowa | Oklahoma | 3.3% | 4 |