| Literature DB >> 34990441 |
Scott R Kegler, Deborah M Stone, James A Mercy, Linda L Dahlberg.
Abstract
Firearm homicides and suicides represent an ongoing public health concern in the United States. During 2018-2019, a total of 28,372 firearm homicides (including 3,612 [13%] among youths and young adults aged 10-19 years [youths]) and 48,372 firearm suicides (including 2,463 [5%] among youths) occurred among U.S. residents (1). This report is the fourth in a series* that provides statistics on firearm homicides and suicides in major metropolitan areas. As with earlier reports, this report provides a special focus on youth violence, including suicide, recognizing the magnitude of the problem and the importance of early prevention efforts. Firearm homicide and suicide rates were calculated for the 50 most populous U.S. metropolitan statistical areas (MSAs)† for the periods 2015-2016 and 2018-2019, separated by a transition year (2017), using mortality data from the National Vital Statistics System (NVSS) and population data from the U.S. Census Bureau. Following a period of decreased firearm homicide rates among persons of all ages after 2006-2007 in large metropolitan areas collectively and nationally, by 2015-2016 rates had returned to levels comparable to those observed a decade earlier and remained nearly unchanged as of 2018-2019. Firearm suicide rates among persons aged ≥10 years have continued to increase in large MSAs collectively as well as nationally. Although the youth firearm suicide rate remained much lower than the overall rate, the youth rate nationally also continued to increase, most notably outside of large MSAs. The findings in this report underscore a continued and urgent need for a comprehensive approach to prevention. This includes efforts to prevent firearm homicide and suicide in the first place and support individual persons and communities at increased risk, as well as lessening harms after firearm homicide and suicide have occurred.Entities:
Mesh:
Year: 2022 PMID: 34990441 PMCID: PMC8735565 DOI: 10.15585/mmwr.mm7101a3
Source DB: PubMed Journal: MMWR Morb Mortal Wkly Rep ISSN: 0149-2195 Impact factor: 17.586
Numbers and annual rates of firearm homicides and suicides (per 100,000 persons) for the 50 most populous metropolitan statistical areas — United States, 2015–2016 and 2018–2019*
| MSA | Yrs | No.† (rate)§ | |||
|---|---|---|---|---|---|
| Firearm homicides | Firearm suicides | ||||
| All ages | Ages 10–19 yrs | Ages ≥10 yrs | Ages 10–19 yrs | ||
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| Atlanta, Sandy Springs, Alpharetta (Georgia) | 2015–2016 | 717 (6.3) | 106 (6.5) | 764 (7.6) | 48 (2.9) |
| 2018–2019 | 763 (6.5) | 108 (6.4) | 963 (9.2) | 51 (3.0) | |
| Austin, Round Rock, Georgetown (Texas) | 2015–2016 | 99 (2.3) | —¶
| 283 (8.2) | — |
| 2018–2019 | 84 (1.9) | — | 311 (8.1) | — | |
| Baltimore, Columbia, Towson (Maryland) | 2015–2016 | 656 (12.2) | 63 (9.1) | 239 (4.7) | — |
| 2018–2019 | 676 (12.5) | 67 (9.7) | 248 (4.7) | — | |
| Birmingham, Hoover (Alabama) | 2015–2016 | 266 (12.8) | 23 (8.3) | 222 (11.4) | — |
| 2018–2019 | 312 (15.1) | 32 (11.5) | 216 (11.3) | — | |
| Boston, Cambridge, Newton (Massachusetts, New Hampshire) | 2015–2016 | 113 (1.2) | — | 179 (2.0) | — |
| 2018–2019 | 130 (1.3) | — | 189 (2.0) | — | |
| Buffalo, Cheektowaga (New York) | 2015–2016 | 81 (3.6) | — | 76 (3.3) | — |
| 2018–2019 | 91 (4.2) | — | 73 (3.4) | — | |
| Charlotte, Concord, Gastonia (North Carolina, South Carolina) | 2015–2016 | 238 (4.9) | 24 (3.6) | 352 (8.1) | 23 (3.4) |
| 2018–2019 | 253 (5.0) | 31 (4.4) | 367 (7.8) | — | |
| Chicago, Naperville, Elgin (Illinois, Indiana, Wisconsin) | 2015–2016 | 1,527 (8.1) | 272 (10.7) | 620 (3.6) | 29 (1.1) |
| 2018–2019 | 1,413 (7.6) | 242 (9.8) | 666 (3.9) | 27 (1.1) | |
| Cincinnati (Ohio, Kentucky, Indiana) | 2015–2016 | 175 (4.1) | 31 (5.2) | 313 (8.2) | 22 (3.7) |
| 2018–2019 | 192 (4.5) | 34 (5.7) | 357 (9.1) | — | |
| Cleveland, Elyria (Ohio) | 2015–2016 | 298 (7.8) | 33 (6.4) | 277 (7.2) | — |
| 2018–2019 | 284 (7.5) | 42 (8.4) | 315 (8.2) | — | |
| Columbus (Ohio) | 2015–2016 | 206 (5.0) | 33 (6.2) | 256 (7.0) | — |
| 2018–2019 | 205 (4.8) | 23 (4.2) | 276 (7.3) | — | |
| Dallas, Fort Worth, Arlington (Texas) | 2015–2016 | 537 (3.8) | 62 (3.0) | 932 (7.8) | 54 (2.6) |
| 2018–2019 | 613 (4.0) | 95 (4.4) | 1,074 (8.4) | 66 (3.0) | |
| Denver, Aurora, Lakewood (Colorado) | 2015–2016 | 173 (3.0) | — | 469 (9.6) | 24 (3.3) |
| 2018–2019 | 198 (3.4) | 37 (5.0) | 537 (10.2) | 28 (3.8) | |
| Detroit, Warren, Dearborn (Michigan) | 2015–2016 | 652 (8.1) | 50 (4.5) | 554 (7.0) | 28 (2.5) |
| 2018–2019 | 639 (7.9) | 44 (4.1) | 580 (7.3) | 30 (2.8) | |
| Hartford, East Hartford, Middletown (Connecticut) | 2015–2016 | 55 (2.5) | — | 59 (2.5) | — |
| 2018–2019 | 46 (2.0) | — | 91 (3.9) | — | |
| Houston, The Woodlands, Sugar Land (Texas) | 2015–2016 | 828 (6.1) | 109 (5.6) | 921 (8.2) | 45 (2.3) |
| 2018–2019 | 817 (5.8) | 143 (7.0) | 936 (7.8) | 50 (2.5) | |
| Indianapolis, Carmel, Anderson (Indiana) | 2015–2016 | 298 (7.7) | 45 (8.3) | 308 (8.9) | — |
| 2018–2019 | 325 (8.3) | 57 (10.2) | 361 (10.0) | 23 (4.1) | |
| Jacksonville (Florida) | 2015–2016 | 208 (7.4) | 32 (8.8) | 299 (11.1) | — |
| 2018–2019 | 241 (8.4) | 44 (11.7) | 323 (11.4) | — | |
| Kansas City (Missouri, Kansas) | 2015–2016 | 327 (8.2) | 38 (6.8) | 375 (10.4) | 22 (4.0) |
| 2018–2019 | 410(10.1) | 51 (9.0) | 471 (12.4) | 31 (5.5) | |
| Las Vegas, Henderson, Paradise (Nevada) | 2015–2016 | 234 (5.6) | 26 (4.8) | 391 (10.4) | — |
| 2018–2019 | 224 (5.2) | 36 (6.3) | 468 (11.5) | — | |
| Los Angeles, Long Beach, Anaheim (California) | 2015–2016 | 1,003 (3.7) | 123 (3.6) | 781 (3.2) | 25 (0.7) |
| 2018–2019 | 871 (3.3) | 105 (3.2) | 773 (3.2) | 24 (0.7) | |
| Louisville/Jefferson County (Kentucky, Indiana) | 2015–2016 | 200 (8.4) | 25 (7.9) | 255 (11.1) | — |
| 2018–2019 | 189 (8.0) | 27 (8.6) | 252 (11.0) | — | |
| Memphis (Tennessee, Mississippi, Arkansas) | 2015–2016 | 396 (15.0) | 52 (14.0) | 183 (8.0) | — |
| 2018–2019 | 494 (18.9) | 75 (20.5) | 222 (9.5) | — | |
| Miami, Fort Lauderdale, Pompano Beach (Florida) | 2015–2016 | 669 (5.9) | 98 (7.1) | 613 (5.3) | — |
| 2018–2019 | 694 (6.0) | 64 (4.6) | 712 (5.9) | — | |
| Milwaukee, Waukesha (Wisconsin) | 2015–2016 | 267 (8.9) | 30 (7.2) | 182 (6.5) | — |
| 2018–2019 | 207 (7.1) | 24 (5.8) | 182 (6.4) | — | |
| Minneapolis, St. Paul, Bloomington (Minnesota, Wisconsin) | 2015–2016 | 136 (2.0) | 26 (2.8) | 315 (5.2) | 20 (2.2) |
| 2018–2019 | 123 (1.8) | 23 (2.4) | 368 (5.7) | 23 (2.4) | |
| Nashville–Davidson, Murfreesboro, Franklin (Tennessee) | 2015–2016 | 177 (4.8) | 29 (6.1) | 331 (10.3) | 23 (4.9) |
| 2018–2019 | 230 (6.1) | 45 (9.1) | 348 (10.4) | 20 (4.0) | |
| New Orleans, Metairie (Louisiana) | 2015–2016 | 404 (16.7) | 54 (17.7) | 186 (8.1) | — |
| 2018–2019 | 370 (15.6) | 45 (14.6) | 202 (8.7) | — | |
| New York, Newark, Jersey City (New York, New Jersey, Pennsylvania) | 2015–2016 | 917 (2.4) | 91 (2.0) | 513 (1.4) | — |
| 2018–2019 | 679 (1.8) | 76 (1.7) | 517 (1.4) | — | |
| Oklahoma City (Oklahoma) | 2015–2016 | 163 (6.0) | 21 (5.7) | 317 (13.5) | 20 (5.5) |
| 2018–2019 | 151 (5.5) | — | 319 (12.9) | — | |
| Orlando, Kissimmee, Sanford (Florida) | 2015–2016 | 251 (5.1) | 23 (3.7) | 275 (6.2) | — |
| 2018–2019 | 239 (4.5) | 26 (4.0) | 331 (7.0) | — | |
| Philadelphia, Camden, Wilmington (Pennsylvania, New Jersey, Delaware, Maryland) | 2015–2016 | 800 (6.8) | 94 (6.1) | 513 (4.5) | — |
| 2018–2019 | 849 (7.3) | 96 (6.3) | 526 (4.6) | — | |
| Phoenix, Mesa, Chandler (Arizona) | 2015–2016 | 397 (4.4) | 42 (3.3) | 865 (10.6) | 34 (2.7) |
| 2018–2019 | 407 (4.3) | 53 (4.0) | 906 (10.2) | 35 (2.6) | |
| Pittsburgh (Pennsylvania) | 2015–2016 | 233 (5.4) | 38 (7.2) | 381 (8.7) | — |
| 2018–2019 | 197 (4.5) | 24 (4.7) | 408 (9.1) | — | |
| Portland, Vancouver, Hillsboro (Oregon, Washington) | 2015–2016 | 80 (1.7) | — | 356 (8.2) | — |
| 2018–2019 | 78 (1.6) | — | 399 (8.7) | 21 (3.6) | |
| Providence, Warwick (Rhode Island, Massachusetts) | 2015–2016 | 38 (1.1) | — | 103 (3.3) | — |
| 2018–2019 | 32 (1.1) | — | 96 (3.2) | — | |
| Raleigh, Cary (North Carolina) | 2015–2016 | 64 (2.5) | — | 121 (5.4) | — |
| 2018–2019 | 55 (2.0) | — | 152 (6.3) | — | |
| Richmond (Virginia) | 2015–2016 | 178 (7.3) | — | 211 (9.0) | — |
| 2018–2019 | 189 (7.7) | 25 (7.9) | 205 (8.8) | — | |
| Riverside, San Bernardino, Ontario (California) | 2015–2016 | 303 (3.3) | 41 (3.0) | 408 (5.4) | 20 (1.5) |
| 2018–2019 | 366 (4.0) | 43 (3.2) | 455 (5.7) | — | |
| Sacramento, Roseville, Folsom (California) | 2015–2016 | 162 (3.6) | 21 (3.5) | 259 (6.2) | — |
| 2018–2019 | 135 (2.9) | — | 237 (5.4) | — | |
| St. Louis (Missouri, Illinois) | 2015–2016 | 596 (11.4) | 61 (8.6) | 442 (8.7) | — |
| 2018–2019 | 676 (13.0) | 82 (11.8) | 486 (9.4) | 23 (3.3) | |
| Salt Lake City (Utah) | 2015–2016 | 46 (1.9) | — | 237 (12.4) | 20 (5.7) |
| 2018–2019 | 44 (1.8) | — | 246 (12.0) | — | |
| San Antonio, New Braunfels (Texas) | 2015–2016 | 266 (5.5) | 27 (3.9) | 305 (7.3) | 20 (2.9) |
| 2018–2019 | 246 (4.9) | 42 (5.8) | 380 (8.7) | 36 (5.0) | |
| San Diego, Chula Vista, Carlsbad (California) | 2015–2016 | 103 (1.6) | — | 282 (4.8) | — |
| 2018–2019 | 107 (1.5) | — | 335 (5.5) | — | |
| San Francisco, Oakland, Berkeley (California) | 2015–2016 | 414 (4.5) | 60 (5.8) | 263 (3.0) | — |
| 2018–2019 | 285 (3.1) | 33 (3.2) | 264 (3.0) | — | |
| San Jose, Sunnyvale, Santa Clara (California) | 2015–2016 | 58 (1.5) | — | 97 (2.7) | — |
| 2018–2019 | 43 (1.1) | — | 99 (2.7) | — | |
| Seattle, Tacoma, Bellevue (Washington) | 2015–2016 | 165 (2.2) | 32 (3.6) | 452 (6.7) | 29 (3.3) |
| 2018–2019 | 186 (2.4) | 37 (4.1) | 523 (7.4) | 32 (3.5) | |
| Tampa, St. Petersburg, Clearwater (Florida) | 2015–2016 | 204 (3.7) | 21 (3.1) | 568 (9.4) | — |
| 2018–2019 | 213 (3.7) | 23 (3.2) | 591 (9.4) | — | |
| Virginia Beach, Norfolk, Newport News (Virginia, North Carolina) | 2015–2016 | 248 (6.8) | 38 (8.7) | 271 (8.3) | 20 (4.6) |
| 2018–2019 | 247 (7.0) | 35 (8.0) | 295 (9.3) | — | |
| Washington, Arlington, Alexandria (DC, Virginia, Maryland, West Virginia) | 2015–2016 | 471 (3.8) | 42 (2.7) | 459 (4.3) | 28 (1.8) |
| 2018–2019 | 509 (4.1) | 72 (4.6) | 471 (4.2) | 29 (1.8) | |
Abbreviations: DC = District of Columbia; MSA = metropolitan statistical area.
* Numbers and rates reflect decedent place of residence, not place of occurrence. This table includes only the 50 most populous MSAs among the 384 MSAs currently delineated and therefore cannot be used to establish comprehensive national rankings.
† These national and MSA–specific numbers exclude a small fraction of records with undocumented decedent age (four firearm homicides and four firearm suicides) and might therefore differ slightly from numbers in the text.
§ Per 100,000 residents per year. Rates are age–adjusted to the year 2000 U.S. standard population profile.
¶ Dashes indicate entry suppressed because of statistical instability or data confidentiality concerns (both associated with small numbers).