ZIP code
66104
in Kansas City, KansasPopulation 27,033
37.90/ 100
Ranked #28,069 of 32,066 US ZIPs (bottom 12.5%)
Ranked #667 of 682 Kansas ZIPs (bottom 2.2%)
Ranked #180 of 200 Kansas City, MO-KS ZIPs (bottom 10.0%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Industrial-pollution burden
in the top 0.8% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Air-toxics cancer risk
47.7 per million
in the top 1.3% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Uninsured (under 65)
19.2%
in the top 5.2% nationally
Lower is healthier
ST98thUS95thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Utility shut-off threat
18.2%
in the top 3.6% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Tooth loss
26.1%
in the top 6.0% nationally
Lower is healthier
ST99thUS94thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Expected annual disaster loss
$0
in the top 4.9% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Housing insecurity
23.5%
in the top 5.2% nationally
Lower is healthier
ST99thUS95thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Lead in tap water
7.5 ppb
in the top 5.5% nationally
Lower is healthier
US95thDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Transit access
4.4 per 1,000 residents
in the top 6.4% nationally
Higher is healthier
ST97thUS94thDefinition & source ›
The number of public-transit stops inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Lack of transportation
14.6%
in the top 6.9% nationally
Lower is healthier
ST99thUS93rdDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›The read
ZIP 66104, one of several in Kansas City, Kansas ranks in the bottom 12.5% nationally (28,069th) and the bottom 2.2% of Kansas (667th).
Several readings make the pressure on this area plain: modeled industrial-pollution burden registers in the top 0.8% nationally, and air-toxics cancer risk lies in the top 1.3% nationally. Modeled uninsured is in the top 5.2% nationally, and utility shutoff registers in the top 3.6% nationally. Modeled tooth loss lies in the top 6.0% nationally, expected annual loss is in the top 4.9% nationally, and housing insecurity registers in the top 5.2% nationally. Lead in tap water lies in the top 5.5% nationally, and modeled transportation is in the top 6.9% nationally. On the encouraging side, transit registers in the top 6.4% nationally.
Against its neighbors, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. For context, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. The closest ZIP that ranks healthier overall is ZIP 64150, just across the boundary.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts. Compare it against the US, this state and the Kansas City, MO-KS metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Mental Health
healthier than 77%
8%
Healthcare Access
healthier than 77%
5%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Social Need / SDOH
healthier than 9%
16%
Environmental Hazard
in the bottom 0.2%
14%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 9%
11%
Disability
healthier than 18%
7%
Climate / Disaster Risk
healthier than 22%
5%
Lifting this score
Mental Health
healthier than 72%
8%
Healthcare Access
healthier than 87%
5%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Social Need / SDOH
healthier than 4%
16%
Environmental Hazard
in the bottom 0.5%
14%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 3%
11%
Disability
healthier than 5%
7%
Climate / Disaster Risk
healthier than 30%
5%
Lifting this score
Mental Health
healthier than 79%
8%
Healthcare Access
healthier than 70%
5%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Social Need / SDOH
healthier than 6%
16%
Environmental Hazard
healthier than 4%
14%
Preventive Care
healthier than 8%
13%
Risk Behavior
healthier than 11%
11%
Disability
healthier than 12%
7%
Climate / Disaster Risk
healthier than 15%
5%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Findings that name this ZIP
3 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 73.6 ± 1.2 years. A median household income of $61,338 predicts 78.1 years — 4.5 years below.
Ranked #5,334 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 73.6 ± 1.2 years. The 45 nearest ZIP codes with estimates average 76.8 years — 3.2 years below them.
Ranked #2,480 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 47.7 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 73.6 ± 1.2 years.
Ranked #239 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
64150
Missourishares a border
Score 46.27
Closest healthier
64152
Missourishares a border
Score 57.21
Similar health profile
77021
Texas94% similar profile
Score 42.46
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 24.7% | 22.2–27.1 |
| High blood pressure among adults | 40.7% | 37.4–43.8 |
| Cancer (non-skin) or melanoma among adults | 5.1% | 4.6–5.7 |
| Current asthma among adults | 10.9% | 9.6–12.2 |
| Coronary heart disease among adults | 7.1% | 6.4–7.8 |
| Chronic obstructive pulmonary disease among adults | 8.1% | 7.3–8.9 |
| Depression among adults | 17.0% | 14.5–19.6 |
| Diagnosed diabetes among adults | 17.0% | 15.1–18.9 |
| High cholesterol among adults who have ever been screened | 35.4% | 32.1–38.6 |
| Obesity among adults | 44.0% | 39.2–48.9 |
| Stroke among adults | 4.6% | 4.3–5.0 |
| All teeth lost among adults aged >=65 years | 26.1% | 23.0–29.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 19.2% | 16.9–21.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.4% | 74.6–79.9 |
| Visits to doctor for routine checkup within the past year among adults | 76.8% | 73.3–80.0 |
| Cholesterol screening among adults | 81.1% | 78.8–83.1 |
| Colorectal cancer screening among adults aged 45–75 years | 57.5% | 53.6–61.4 |
| Visited dentist or dental clinic in the past year among adults | 48.8% | 45.9–51.8 |
| Mammography use among women aged 50-74 years | 74.1% | 68.8–79.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.7% | 11.3–16.3 |
| Current cigarette smoking among adults | 19.4% | 17.1–21.7 |
| No leisure-time physical activity among adults | 38.5% | 34.7–42.2 |
| Short sleep duration among adults | 40.8% | 37.1–44.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 28.8% | 26.1–31.5 |
| Frequent mental distress among adults | 18.0% | 16.0–20.0 |
| Frequent physical distress among adults | 15.4% | 13.7–17.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.5% | 16.7–20.4 |
| Any disability among adults | 35.3% | 31.9–38.6 |
| Hearing disability among adults | 6.6% | 5.8–7.3 |
| Independent living disability among adults | 11.5% | 10.4–12.7 |
| Mobility disability among adults | 18.7% | 16.8–20.6 |
| Self-care disability among adults | 6.3% | 5.8–6.9 |
| Vision disability among adults | 8.5% | 7.8–9.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 30.1% | 26.9–33.4 |
| Food insecurity in the past 12 months among adults | 28.8% | 25.8–31.7 |
| Received food stamps in the past 12 months among adults | 19.8% | 17.4–22.1 |
| Housing insecurity in the past 12 months among adults | 23.5% | 21.0–26.1 |
| Lack of reliable transportation in the past 12 months among adults | 14.6% | 13.1–16.2 |
| Loneliness among adults | 35.7% | 32.0–39.5 |
| Utility services shut-off threat in the past 12 months among adults | 18.2% | 16.3–20.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 18.7% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 32.3% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 22.9% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 12.0% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 4.9% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 6.5% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 88.2% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 29.9% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 67.6% | 78.7% (51.7–94.0%) n=32,322 | 79.7% (59.7–94.6%) n=688 |
| Crowded housing (>1 per room) | 4.4% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.6%) n=688 |
| Foreign-born population | 21.0% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 36.8% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 14.8% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 35.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $61,338 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $141,500 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | $1,114 | $1,021 ($677–$1,912) n=25,670 | $820 ($592–$1,257) n=519 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 73.6 yr ± 0.59 | 78.9 yr (74.7–82.8) n=31,308 | 78.9 yr (76.2–81.8) n=687 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 0.59 years of 73.6, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured