Reference analysis · August 2026
Every major problem quantified in annual disability-adjusted life years (DALYs) and dollars, with 80% confidence intervals, for the five instrumented counties of the KC metro: Jackson, Clay, and Platte in Missouri, Wyandotte and Johnson in Kansas. 1.88 million people, about 85% of the MSA.
Method: WHO Global Health Estimates 2021 US cause rates × local population × adjustment factors built from county death certificates, CDC PLACES prevalence, and city data. This is the impact piece of a two-part EA-style cause prioritization; the interactive tractability and neglectedness analysis builds on it.
Total annual health burden
~620K
DALYs per year, 5-county core (envelope 570–700K)
Excess years of life lost before 75
62,160
every year, vs the Johnson County benchmark 20 minutes away
County life-expectancy gap
6.9 yrs
Johnson Co. 80.64 vs Wyandotte Co. 73.70 (CHR 2020–22)
Tangible economic damage
~$15B
per year across identified categories, excluding VSL valuations
Annual DALYs by problem, split into years of life lost to death (YLL) and years lived with disability (YLD). Whiskers are 80% confidence intervals. The KC/US column is the local rate divided by the national rate: the "is Kansas City distinctively bad here?" number. Hover or focus any row for details.
Excess premature mortality (years of potential life lost before age 75, YPLL-75) against two benchmarks. Against the US average, the metro nets out to almost exactly zero. Against its own healthiest county, it loses 62,000 years of life annually.
Tangible annual costs (medical, productivity, property, criminal justice) in 2025 dollars. Value-of-statistical-life and quality-of-life valuations are deliberately excluded: they are the dollar shadow of the DALY column, and including both counts the same suffering twice. Hatched bars overlap the disease rows above them (tobacco's cost lives inside CVD, cancer, and COPD) and are never summed.
Child poverty's $5–7B/yr is a long-run future cost (NAS Roadmap apportioned to ~60K local poor children), not current cash flow, and is listed separately from the annual-damage rows.[21] Comprehensive VSL-inclusive figures, for comparison against advocacy numbers: violence ~$3.5B, overdose ~$6B, traffic ~$8.9B.
Deviation from national baseline matters more than absolute size for local action. Eight places KC measurably departs from the country:
Unit and geography. Annual DALYs (YLL + YLD) and annual tangible dollars, for the 5-county core (Jackson 718.6K, Johnson 622.2K, Clay 259.8K, Wyandotte 165.3K, Platte ~110K people). Scaling to the full 2.2M MSA adds roughly 15–17% to most rows and changes no ranks.
Model. Local DALYs per cause = US cause-specific DALY rate per 100K (WHO Global Health Estimates 2021, which publishes YLL and YLD separately[1]) × local population × a local adjustment factor. Adjustments come from real local instruments: exact 2023 death counts by cause from Missouri Vital Statistics (Jackson County: 7,001 deaths; heart 1,414; cancer 1,291; homicide 180; suicide 134; accidental poisoning 282)[2], Kansas vital statistics[3], CDC PLACES prevalence with published CIs[4], KCPD's live homicide analysis[5], and verified county overdose and traffic counts.[6][7] Where no local instrument exists, the adjustment is 1.00 with a wide interval and a lower confidence grade.
Confidence intervals are 80% subjective intervals combining source CIs, the adjustment range, and a 7% envelope for base-rate and population uncertainty. Ranks should be read through the intervals: the top two are stable, the 3–5 cluster and the 10–14 cluster are internally unstable.
Framework note. WHO GHE uses a frontier life table, so YLL-per-death runs higher than IHME GBD conventions. Everything here shares one framework, so ranks and ratios are internally consistent; absolute DALYs run ~10–15% above what an IHME-based version would report. IHME's own US ranking (CVD > cancer > musculoskeletal > mental disorders) matches this table's top four.[9]
Double-counting rules. The league table holds mutually exclusive disease and injury endpoints. Risk factors and structural drivers (smoking, obesity, alcohol-as-risk, air quality, poverty, housing) overlap those endpoints; they are shown hatched in the dollar chart and never summed with it.
Known limitations. Kansas blocks county-level cancer-registry data by statute, so Wyandotte cancer leans on state rates. Kansas-side overdose and suicide counts are estimates. Musculoskeletal, digestive, neurological, and falls rows have no local instrument. 2021 base rates embed COVID-era and peak-violence conditions, which makes the violence and drug KC/US ratios conservative. Education proficiency figures never got primary verification (both state portals are bot-gated); the KCPS graduation figure is district-reported.
Every figure above traces to one of these. Flags note anything that resisted primary verification.