Firearm Homicide Mortality in North-Central Texas: A County-Level Research Summary, 2000–2019
Background and Data
This analysis draws on the Institute for Health Metrics and Evaluation (IHME) U.S. county-level firearm homicide estimates (“Physical violence by firearm,” GBD cause ID 725) for 24 counties spanning the Dallas–Fort Worth metropolitan area and its surrounding rural periphery. The merged analytic file contains 60,480 modeled estimates covering 2000–2019, disaggregated by county (identified by name and FIPS code), ethnicity (Total, White, Black, Latino, Asian, and AIAN), and 21 age bands plus All Ages and Age-standardized aggregates, each with 95% uncertainty bounds. Estimates are for both sexes combined. Rates are stored per person and scaled to deaths per 100,000 population for this summary. Approximately 32.6% of records carry no estimate, reflecting IHME suppression in small populations; missingness concentrates among AIAN, Asian, and Black estimates in low-population counties and should be treated as suppressed rather than zero.
Findings
Temporal trend: a two-phase pattern with a post-2014 surge. The regional mean age-standardized rate was broadly stable at 2.8–3.1 per 100,000 through the 2000s, declined gradually to a two-decade low of 2.65 in 2014, then rose sharply — reaching 3.31 in 2016 and remaining elevated at 3.12 in 2019. This inflection mirrors the national rise in firearm homicide observed after 2014. Over the full period, 19 of 24 counties ended the series with higher rates than they began, indicating that the increase was regionally widespread rather than confined to the urban core.
Geographic distribution: a strongly urban burden. Firearm homicide displays the steepest geographic gradient of the three datasets in this series, and its direction is the reverse of the maternal mortality pattern. Dallas County’s mean age-standardized rate of 7.08 per 100,000 is nearly double that of the next-highest county and more than five times the lowest. Elevated rates extend into counties along the eastern and rural-western edges of the metroplex — Kaufman (4.30), Hunt (4.22), Tarrant (3.84), and Palo Pinto (3.68) — while the affluent northern suburbs of Denton (1.37) and Collin (1.51) record the lowest burden. Notably, the suburban counties with the best firearm homicide and maternal mortality outcomes are the same counties that scored worst on IHME’s spending-adjusted health system performance measure, underscoring that favorable population outcomes in these counties reflect socioeconomic advantage more than system efficiency.
Racial disparity: the widest gap in the series. Black residents experienced a mean age-standardized rate of 8.11 per 100,000 — approximately 3.4 times the White rate of 2.38, a substantially larger relative disparity than the 2.2-fold Black–White gap observed in the companion maternal mortality data. Latino (3.06) and AIAN (3.02) rates sit near the regional average, and Asian rates are lowest (1.85), though sparse coverage limits precision for the smaller groups. The magnitude and persistence of the Black–White gap across all twenty years marks firearm violence as the most racially unequal cause of death in this county set.
Age structure: a young-adult epidemic. Risk peaks at ages 20–24 (7.09 per 100,000) and declines monotonically through adulthood — 25–29 (5.27), 30–34 (4.72), with adolescents 15–19 (4.41) already exceeding the all-ages regional average. This concentration in early adulthood is the inverse of chronic disease mortality and means each death forfeits five to six decades of expected life, making firearm homicide a disproportionate contributor to years of life lost (YLLs) relative to its death count.
Interpretation
Three conclusions follow. First, the post-2014 reversal erased a decade of gradual improvement, and the region entered 2020 — a year of documented national escalation — from an already elevated baseline. Second, the joint geographic and racial concentration of burden (urban counties, Black residents, young adults) identifies a narrow, well-defined population in which prevention resources would have the greatest impact. Third, read alongside the maternal mortality and health system performance data, the series demonstrates that no single county profile is uniformly advantaged: rural counties carry excess maternal and all-cause mortality, while urban counties carry the firearm violence burden, and suburban counties achieve strong outcomes at high cost.
Limitations
IHME values are small-area modeled estimates rather than raw vital-statistics counts, and uncertainty intervals should accompany published figures — particularly for small counties and sparsely estimated racial groups. Rates are per total population, not adjusted for firearm ownership, urbanicity, or socioeconomic covariates, so geographic comparisons are descriptive rather than causal. The series ends in 2019 and therefore predates the 2020–2021 national surge in firearm violence. Finally, age-specific rates should not be aggregated across bands; the age-standardized series is the appropriate basis for cross-county and cross-group comparison.