Rural Americans die younger and lose more years of life than urban Americans, and the gap has roughly tripled since 1999
CDC/NCHS mortality trends (1999-2019/2024) and County Health Rankings premature-death data (2025 release), cross-checked against USDA rural-urban classification
Summary
Rural (nonmetro) Americans die at meaningfully higher rates than urban Americans, and the gap has grown substantially over the past two decades rather than closed. In the most recent CDC/NCHS national trend data (1999-2019), the rural age-adjusted death rate went from 7% higher than urban in 1999 to 20% higher in 2019 — the gap nearly tripled because urban mortality kept falling while rural mortality stalled after about 2010. Recomputing a current, county-level measure directly from this connector's data (County Health Rankings premature-death rates, 2025 release, joined to USDA's Rural-Urban Continuum classification) confirms the disadvantage is still large today: population-weighted, nonmetro counties lose 10,828 years of potential life per 100,000 residents before age 75, versus 8,067 in metro counties — nonmetro counties run about 34% higher. The disadvantage is also a gradient, not a step function: premature-death rates worsen almost monotonically from large metro counties through the most isolated rural counties.
What the literature says about the trend (1999-2019, with 2022-2024 updates)
The definitive federal source on this question is CDC/NCHS Data Brief No. 417, "Trends in Death Rates in Urban and Rural Areas: United States, 1999-2019" (Crossén et al., Sept. 2021). Its headline findings:
- Age-adjusted death rate, urban areas: 865.1 per 100,000 in 1999 → 693.4 in 2019 (steady decline).
- Age-adjusted death rate, rural areas: 923.8 per 100,000 in 1999 → fell to 837.6 by 2010 → then stalled, ending at 834.0 in 2019.
- The rural excess over urban grew from 7% (1999) to 20% (2019) — and some analyses of the same underlying data put the 2019 gap closer to 40-43% depending on which age/cause slice is used.
- All 10 leading causes of death were higher in rural areas by 2019, with the widest and most-widening gaps in heart disease (189 vs 156 per 100,000), cancer (164 vs 143), and chronic lower respiratory disease (52.5 vs 35.4).
- The gap widened for both sexes and in every U.S. region, but was widest in the South, and was driven disproportionately by rising deaths among rural women and working-age (25-54) adults from largely preventable chronic disease.
Subsequent work extends the same conclusion past 2019. USDA's Economic Research Service (2024, "The Nature of the Rural-Urban Mortality Gap") finds rural mortality for working-age adults from natural (largely chronic-disease) causes continuing to rise relative to urban, widening the gap further. A 2025 HHS/ASPE rural-disparities report found Appalachia's 2023 all-cause mortality rate (400.9 per 100,000) was 32% above the non-Appalachian U.S. rate (304.3 per 100,000), consistent with a persistent, not narrowing, disadvantage.
What this connector's own data shows today (2025 snapshot, computed directly)
This warehouse has no multi-year, county-grain, all-cause mortality series (CDC WONDER's underlying-cause-of-death API explicitly rejects sub-national geography, and the state-level health.cdc_mortality table carries no rural/urban split), so the 1999-2019 trend above could not be independently re-derived here. What could be computed directly is a current cross-section: County Health Rankings' Premature Death measure (years of potential life lost before age 75 per 100,000, age-adjusted, from NCHS's own detailed-death files, 2025 release) joined to USDA's Rural-Urban Continuum Code for all ~3,080 U.S. counties.
Population-weighting county rates by their 2022 Census population:
- Metro counties (RUCC 1-3): 8,067 YPLL per 100,000, covering 282.3 million people.
- Nonmetro counties (RUCC 4-9): 10,828 YPLL per 100,000, covering 45.5 million people.
- Ratio: nonmetro is 34.2% higher than metro (Welch's t-test on the underlying 3,080 counties: t = -13.14, p < 1e-37 — the difference is not close to chance).
- The simple (unweighted) county-average version of the same comparison shows a smaller 18% gap (11,051 vs 9,359), because it gives a tiny rural county the same weight as a large metro one; the population-weighted figure is the more defensible representation of "how much worse off is the average rural resident."
- Breaking counties into USDA's full 9-category RUCC scale shows a clear gradient, not a binary split: premature-death rates rise from 8,571 in the largest metro counties to 11,393-11,246 in the most rural, non-metro-adjacent counties, worsening almost monotonically at every step down the urbanization scale.
This YPLL-based gap (34% population-weighted) is noticeably larger than NCHS's all-ages, age-adjusted death-rate gap (20% in 2019). That is expected, not a discrepancy: YPLL is a truncated measure (deaths before age 75) that weights each death by years lost, so it is driven disproportionately by excess deaths among rural working-age adults — exactly the subgroup NCHS and ERS both flag as the main driver of the widening gap.
A cause-specific complication: overdose deaths moved the other way for several years
The rural disadvantage is not uniform across causes of death. Using CDC's county-level injury-mortality feed (Mapping Injury, Overdose, and Violence) joined to the same rural-urban classification for 2019-2024, unweighted county-average crude drug-overdose death rates were consistently higher in metro counties than nonmetro counties across this whole window (e.g., 2021: 30.2 per 100,000 metro vs 21.4 nonmetro; 2024: 20.5 metro vs 14.7 nonmetro) — a reversal of the historical pattern from the early opioid-pill era, reflecting fentanyl's disproportionate spread into urban and suburban markets during this period. This finding should be read as directional and not with the same confidence as the premature-death figures above: these are crude (not age-adjusted) rates, averaged unweighted across counties, with model-smoothed imputation for counties with 1-9 suppressed deaths, and are being used here only to show that cause-of-death matters — they are not a substitute for the NCHS age-adjusted national series.
Bottom line and caveats
How much do outcomes differ: rural Americans currently lose roughly a third more years of life before age 75 than urban Americans (34%, population-weighted, 2025 data), and their age-adjusted all-cause death rate was about 20% higher as of the last year NCHS published a full urban-rural trend series (2019).
How much has the gap changed: it has grown substantially, not stayed flat or narrowed — from a 7% rural excess in 1999 to 20% in 2019 in NCHS's own series, with subsequent USDA/ERS and HHS work through 2023-2024 describing continued widening for working-age adults specifically, not a reversal.
Caveats: (1) the widely-cited 1999-2019 trend is drawn from the literature, not recomputed here, because no multi-year, sub-national, all-cause mortality series is loaded in this connector (a genuine data gap, not a choice); (2) the current-year, connector-native comparison (34%) and the literature's 2019 figure (20%) use different outcome measures (truncated YPLL vs. full age-adjusted death rate) and are not directly comparable numbers, only directionally consistent ones; (3) RUCC rural/urban classification used here is the single available 2022 vintage, applied to all years, which is standard practice since RUCC updates only once per decade.
Sources
- CDC/NCHS Data Brief No. 417: Trends in Death Rates in Urban and Rural Areas, United States 1999-2019 — Primary source for the 1999-2019 urban/rural age-adjusted death rate trend and cause-specific gaps
- Scientific American: Rural Americans Are Dying at Increasingly Higher Rates Than City Dwellers
- USDA Economic Research Service: The Nature of the Rural-Urban Mortality Gap (2024)
- CBS News: City-country mortality gap widens amid persistent holes in rural health care access
- HPPR/NPR: The mortality rate is higher among rural adults and the gap with urban areas is growing (2024)
- HHS/ASPE PTAC Rural Health Disparities Final Report (Feb. 2025) — 2023 Appalachia vs non-Appalachia all-cause mortality comparison
- Rural Health Information Hub: Rural Health Disparities Overview
- AskAmerica: population-weighted premature-death rate, metro vs nonmetro counties (2025 CHR release)
Show SQL
SELECT rc.metro_nonmetro, count(*) n_counties, avg(pd.premature_death_rate) unweighted_avg_rate, sum(pd.premature_death_rate * rc.population) / sum(rc.population) AS pop_weighted_rate, sum(rc.population) AS total_pop FROM health.chr_premature_death pd JOIN geo.rural_urban_continuum rc ON pd.fips_code = rc.county_fips WHERE pd.geo_level='county' AND pd.premature_death_rate IS NOT NULL AND rc.population IS NOT NULL GROUP BY rc.metro_nonmetro - AskAmerica: premature-death rate by USDA Rural-Urban Continuum Code (2025 CHR release)
Show SQL
SELECT rc.rucc_code, rc.rucc_description, count(*) n_counties, avg(pd.premature_death_rate) avg_rate FROM health.chr_premature_death pd JOIN geo.rural_urban_continuum rc ON pd.fips_code = rc.county_fips WHERE pd.geo_level='county' AND pd.premature_death_rate IS NOT NULL GROUP BY rc.rucc_code, rc.rucc_description ORDER BY rc.rucc_code - AskAmerica: Welch's t-test, premature-death rate metro vs nonmetro counties
Show tool call
hypothesis_test(test="t_test", value_col="rate", group_col="grp") - AskAmerica: county-level drug-overdose/suicide/firearm crude death rates by year and metro/nonmetro, 2019-2024
Show SQL
SELECT m."period" AS yr, rc.metro_nonmetro, m.intent, avg(CASE WHEN CAST(m.rate AS DOUBLE) >= 0 THEN CAST(m.rate AS DOUBLE) ELSE CAST(m.rate_m AS DOUBLE) END) avg_rate, count(*) n FROM health.cdc_county_injury_mortality m JOIN geo.rural_urban_continuum rc ON m.geoid = rc.county_fips WHERE m."period" IN ('2019','2020','2021','2022','2023','2024') AND m.intent IN ('Drug_OD','All_Suicide','FA_Deaths') AND m.rate IS NOT NULL AND m.rate <> '' GROUP BY m."period", rc.metro_nonmetro, m.intent ORDER BY m.intent, yr, rc.metro_nonmetro