Data disclaimer: Based on the NFIRS Public Data Release (2020-2024). NFIRS is voluntarily reported and may not include all departments or incidents. Some departments have missing years or incomplete records. Totals shown reflect data as submitted and may not represent complete activity.
Incident Composition (2020–2024)
Summary
827,081
Avg Incidents / Year
57.4%
EMS Share
4.6%
Fire Share
10.4%
False Alarm Rate
+39.4%
5-Year Trend
Wake
Busiest County
| County ▲ | Population ▲ | Departments ▲ | 5-Year Incidents ▼ | Incidents / 1K / Yr ▲ | EMS % ▲ |
|---|---|---|---|---|---|
| Wake | 1,128,357 | 27 | 490,553 | 86.9 | 59.4% |
| Mecklenburg | 1,114,693 | 14 | 312,895 | 56.1 | 58% |
| Guilford | 540,974 | 20 | 247,577 | 91.5 | 60.9% |
| Cumberland | 334,379 | 18 | 198,358 | 118.6 | 62.3% |
| Forsyth | 382,522 | 19 | 175,199 | 91.6 | 52.6% |
| Durham | 324,580 | 4 | 156,993 | 96.7 | 64% |
| Buncombe | 269,305 | 19 | 126,080 | 93.6 | 54.2% |
| Iredell | 186,589 | 18 | 123,090 | 131.9 | 60.4% |
| Gaston | 227,866 | 23 | 113,301 | 99.4 | 50.9% |
| Pitt | 169,746 | 21 | 99,349 | 117.1 | 77.2% |
| Rowan | 146,778 | 17 | 98,253 | 133.9 | 56.8% |
| New Hanover | 225,344 | 8 | 93,978 | 83.4 | 52.5% |
| Johnston | 215,586 | 22 | 86,430 | 80.2 | 66.7% |
| Cabarrus | 225,772 | 16 | 82,250 | 72.9 | 52.9% |
| Brunswick | 136,245 | 23 | 81,794 | 120.1 | 54% |
| Carteret | 67,625 | 23 | 76,535 | 226.4 | 71.2% |
| Catawba | 160,509 | 13 | 75,345 | 93.9 | 59.2% |
| Alamance | 171,316 | 15 | 75,202 | 87.8 | 68.2% |
| Union | 237,844 | 19 | 74,444 | 62.6 | 55.5% |
| Nash | 94,907 | 17 | 69,568 | 146.6 | 57.7% |
| Henderson | 116,029 | 9 | 60,386 | 104.1 | 56.6% |
| Orange | 148,579 | 10 | 55,591 | 74.8 | 48.3% |
| Moore | 99,632 | 16 | 50,897 | 102.2 | 50.5% |
| Onslow | 202,949 | 21 | 44,895 | 44.2 | 50.8% |
| Lincoln | 86,724 | 14 | 44,401 | 102.4 | 56.1% |
| Randolph | 144,115 | 11 | 42,023 | 58.3 | 63.5% |
| Harnett | 133,456 | 16 | 40,824 | 61.2 | 51.6% |
| Cleveland | 99,458 | 17 | 39,748 | 79.9 | 43.5% |
| Haywood | 62,051 | 12 | 38,581 | 124.4 | 60.8% |
| Caldwell | 80,586 | 11 | 33,853 | 84.0 | 62% |
| Currituck | 28,088 | 10 | 32,630 | 232.3 | 68.8% |
| Robeson | 116,414 | 32 | 32,266 | 55.4 | 46.2% |
| Stanly | 62,476 | 17 | 31,942 | 102.3 | 64.2% |
| Surry | 71,351 | 17 | 31,642 | 88.7 | 45.2% |
| Rockingham | 91,080 | 21 | 30,218 | 66.4 | 43.6% |
| Burke | 87,532 | 17 | 30,007 | 68.6 | 67.1% |
| Stokes | 44,503 | 12 | 29,687 | 133.4 | 48.8% |
| Pender | 60,195 | 9 | 27,662 | 91.9 | 51.2% |
| NA | — | 6 | 26,994 | — | 61.3% |
| Dare | 36,860 | 12 | 26,298 | 142.7 | 53.8% |
| Davidson | 168,808 | 18 | 25,382 | 30.1 | 42.8% |
| Macon | 36,973 | 11 | 23,966 | 129.6 | 66% |
| McDowell | 44,525 | 11 | 22,589 | 101.5 | 45.7% |
| Transylvania | 32,927 | 7 | 22,390 | 136.0 | 47.5% |
| NA | — | 1 | 22,028 | — | 62% |
| Davie | 42,692 | 12 | 21,550 | 101.0 | 52.2% |
| Wayne | 116,680 | 28 | 19,594 | 33.6 | 54.4% |
| NA | — | 2 | 18,847 | — | 47.7% |
| Watauga | 54,000 | 8 | 17,761 | 65.8 | 49.4% |
| Swain | 14,108 | 5 | 15,678 | 222.3 | 59.6% |
| Sampson | 59,021 | 19 | 15,196 | 51.5 | 37.4% |
| Polk | 19,286 | 5 | 14,579 | 151.2 | 47.7% |
| Rutherford | 64,379 | 13 | 14,101 | 43.8 | 54.8% |
| Yadkin | 37,209 | 10 | 12,968 | 69.7 | 37.8% |
| Avery | 17,798 | 9 | 12,241 | 137.6 | 63.6% |
| Craven | 100,042 | 14 | 11,963 | 23.9 | 62.4% |
| Wilkes | 65,928 | 17 | 11,948 | 36.2 | 66% |
| Columbus | 50,557 | 16 | 11,371 | 45.0 | 44.6% |
| Franklin | 68,431 | 13 | 11,171 | 32.6 | 46% |
| Hoke | 52,053 | 9 | 9,567 | 36.8 | 24.7% |
| NA | — | 11 | 9,117 | — | 55.5% |
| Person | 39,080 | 7 | 8,960 | 45.9 | 58.9% |
| Duplin | 48,624 | 14 | 8,494 | 34.9 | 38% |
| Pasquotank | 40,457 | 5 | 7,957 | 39.3 | 44.8% |
| Gates | 10,454 | 6 | 7,903 | 151.2 | 53.3% |
| Lee | 63,261 | 5 | 6,844 | 21.6 | 33.3% |
| NA | — | 1 | 6,612 | — | 54.3% |
| Lenoir | 55,112 | 5 | 6,412 | 23.3 | 42.5% |
| Caswell | 22,714 | 7 | 6,156 | 54.2 | 52.8% |
| Bladen | 29,597 | 11 | 6,116 | 41.3 | 46.7% |
| Granville | 60,973 | 12 | 6,108 | 20.0 | 37% |
| Graham | 8,013 | 3 | 5,894 | 147.1 | 51.4% |
| Chatham | 76,189 | 7 | 5,578 | 14.6 | 50.3% |
| Halifax | 48,603 | 9 | 5,559 | 22.9 | 51.8% |
| Beaufort | 44,607 | 13 | 5,551 | 24.9 | 67% |
| Alexander | 36,437 | 8 | 5,495 | 30.2 | 56.3% |
| Martin | 21,994 | 5 | 5,318 | 48.4 | 81.9% |
| Jackson | 43,081 | 5 | 5,270 | 24.5 | 9.6% |
| Wilson | 78,695 | 6 | 4,925 | 12.5 | 43.1% |
| Mitchell | 14,896 | 6 | 4,888 | 65.6 | 38.4% |
| Hertford | 21,546 | 11 | 4,803 | 44.6 | 37.4% |
| Clay | 11,079 | 4 | 4,707 | 85.0 | 68.6% |
| Richmond | 42,920 | 10 | 4,615 | 21.5 | 30% |
| Edgecombe | 48,898 | 11 | 4,287 | 17.5 | 51.9% |
| Yancey | 18,463 | 6 | 4,284 | 46.4 | 49.2% |
| Hyde | 4,573 | 9 | 4,039 | 176.6 | 59.5% |
| NA | — | 3 | 3,963 | — | 60.8% |
| Anson | 22,036 | 8 | 3,646 | 33.1 | 41% |
| Cherokee | 28,732 | 10 | 3,580 | 24.9 | 33.7% |
| NA | — | 1 | 3,190 | — | 72.8% |
| Madison | 21,147 | 8 | 3,051 | 28.9 | 61.4% |
| NA | — | 1 | 2,625 | — | 44.2% |
| Montgomery | 25,722 | 6 | 1,886 | 14.7 | 25.9% |
| Warren | 18,618 | 8 | 1,630 | 17.5 | 56.4% |
| NA | — | 1 | 1,480 | — | 54.4% |
| Scotland | 34,158 | 5 | 1,465 | 8.6 | 30.2% |
| Northampton | 17,436 | 9 | 1,394 | 16.0 | 32.6% |
| Ashe | 26,560 | 6 | 1,264 | 9.5 | 47.7% |
| NA | — | 1 | 1,253 | — | 46.3% |
| Alleghany | 10,876 | 5 | 983 | 18.1 | 53.9% |
| Perquimans | 13,000 | 5 | 868 | 13.4 | 42.1% |
| NA | — | 1 | 826 | — | 51.6% |
| Vance | 42,564 | 5 | 703 | 3.3 | 36% |
| Chowan | 13,708 | 3 | 562 | 8.2 | 2.3% |
| NA | — | 1 | 445 | — | 35.3% |
| NA | — | 2 | 409 | — | 45% |
| NA | — | 1 | 396 | — | 38.6% |
| NA | — | 1 | 260 | — | 33.8% |
| Washington | 11,003 | 2 | 172 | 3.1 | 30.2% |
| Pamlico | 12,213 | 4 | 158 | 2.6 | 40.5% |
| Jones | 9,165 | 4 | 157 | 3.4 | 38.2% |
| Greene | 20,451 | 13 | 144 | 1.4 | 47.9% |
| Camden | 10,350 | 2 | 127 | 2.5 | 40.2% |
| NA | — | 1 | 71 | — | 22.5% |
| NA | — | 1 | 52 | — | 50% |
| Bertie | 17,933 | 3 | 50 | 0.6 | 52% |
| NA | — | 2 | 39 | — | 15.4% |
| NA | — | 1 | 36 | — | 58.3% |
| NA | — | 2 | 0 | — | 0% |
No counties match your search.
Want deeper analysis?
We help fire departments with data analysis, grant support, and community risk planning.