Table 1. Largest Decreases and Increases in County-Level Firearm Death Rates, 1989 to 1993 vs 2015 to 2019.
Rank | Largest decreases in firearm death rates (per 100 000) | Largest increases in firearm death rates (per 100 000) | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
County name | State | Population sizeb | Age-standardized ratea | Rate change, %c | County name | State | Population sizeb | Age-standardized ratea | Rate change, %c | |||
1989-1993 | 2015-2019 | 1989-1993 | 2015-2019 | |||||||||
1 | Hinsdale | Colorado | 765 | DS | DS | −76.58 (NA) | Terrell | Texas | 996 | DS | DS | 102.79 (802.16) |
2 | King | Texas | 307 | DS | DS | −64.26 (NA) | Keya Paha | Nebraska | 902 | DS | DS | 68.95 (NA) |
3 | Meagher | Montana | 1999 | DS | DS | −62.11 (−78.14) | McMullen | Texas | 883 | DS | DS | 55.85 (NA) |
4 | Alpine | California | 1159 | DS | DS | −49.63 (NA) | Carter | Montana | 1320 | DS | DS | 43.13 (471.95) |
5 | District of Columbia | DC | 55 0521 | 60.87 | 15.99 | −44.88 (−73.73) | Deer Lodge | Montana | 8948 | DS | DS | 41.69 (405.7) |
6 | Storey | Nevada | 4074 | DS | DS | −44.8 (−57.31) | Graham | Kansas | 2721 | DS | DS | 41.14 (629.76) |
7 | Oldham | Texas | 2118 | DS | DS | −40.44 (NA) | Harney | Oregon | 6898 | DS | DS | 38.98 (745.21) |
8 | Pershing | Nevada | 6360 | DS | DS | −39.32 (−66.69) | Campbell | South Dakota | 1565 | DS | DS | 38.43 (NA) |
9 | Daggett | Utah | 943 | DS | DS | −38.15 (−49.39) | La Paz | Arizona | 20 238 | DS | DS | 37.93 (NA) |
10 | Houston | Tennessee | 7988 | DS | DS | −36.86 (−93.17) | Blaine | Nebraska | 484 | DS | DS | 36.75 (NA) |
11 | Cumberland | Virginia | 9378 | DS | DS | −35.85 (−81.58) | Taliaferro | Georgia | 1826 | DS | DS | 36.05 (NA) |
12 | Winchester City | Virginia | 25 119 | 56.22 | 20.55 | −35.67 (−63.44) | Huerfano | Colorado | 7771 | DS | DS | 35.8 (226.34) |
13 | Kenedy | Texas | 417 | DS | DS | −33.72 (NA) | Haakon | South Dakota | 1912 | DS | DS | 35.29 (342.56) |
14 | Lafayette | Florida | 7953 | DS | DS | −33.45 (−94.65) | Foard | Texas | 1518 | DS | DS | 35.21 (NA) |
15 | Cottle | Texas | 1746 | DS | DS | −33.32 (NA) | Stafford | Kansas | 4488 | DS | DS | 34.87 (326.49) |
16 | Keweenaw | Michigan | 2195 | DS | DS | −33.02 (NA) | Esmeralda | Nevada | 787 | DS | DS | 34.25 (236.76) |
17 | Wheeler | Oregon | 1455 | DS | DS | −32.97 (−38.77) | Custer | Colorado | 3860 | DS | DS | 34.01 (297.4) |
18 | Motley | Texas | 1299 | DS | DS | −32.6 (−58.16) | Sweet Grass | Montana | 3672 | DS | DS | 32.92 (281.77) |
19 | Throckmorton | Texas | 1618 | DS | DS | −32.47 (−74.65) | Rich | Utah | 2051 | DS | DS | 30.5 (132.84) |
20 | Fulton | Kentucky | 7217 | DS | DS | −30.35 (−68.06) | Eddy | North Dakota | 2626 | DS | DS | 30.41 (NA) |
21 | Sanborn | South Dakota | 2541 | DS | DS | −29.46 (NA) | Loving | Texas | 62 | DS | DS | 29.3 (NA) |
22 | Sheridan | North Dakota | 1430 | DS | DS | −28.91 (NA) | Wells | North Dakota | 4574 | DS | DS | 28.6 (NA) |
23 | Hall | Texas | 3700 | DS | DS | −28.76 (−68.46) | Sierra | California | 3434 | DS | DS | 27.74 (124.82) |
24 | Garfield | Nebraska | 1816 | DS | DS | −28.27 (NA) | Sherman | Oregon | 1749 | DS | DS | 27.63 (91.65) |
25 | Hyde | North Carolina | 5413 | DS | DS | −26.93 (−86.4) | Adams | Idaho | 3591 | DS | DS | 27.39 (166.46) |
Abbreviations: DS, data suppressed; NA, not applicable.
Rates based on small counts (<10), or which could be derived from rate change, were suppressed to preserve data confidentiality.
Population sizes were based on estimates from 2005 (ie, study period midpoint).
Percentage change is not available for counties that have rates that equal 0. For example, dividing by 0 produces unmeaningful estimates (ie, infinity).