ZIP code
64154
in Kansas City, MissouriPopulation 13,851
60.22/ 100
Ranked #4,695 of 32,066 US ZIPs (top 14.7%)
Ranked #32 of 993 Missouri ZIPs (top 3.3%)
Ranked #36 of 200 Kansas City, MO-KS ZIPs (top 18%)
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.
Air-toxics cancer risk
40 per million
in the top 4.5% nationally
Lower is healthier
ST95thUS96thDefinition & 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 ›Industrial-pollution burden
in the top 4.8% nationally
Lower is healthier
ST95thUS95thDefinition & 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 ›Physician access
1.8 per 1,000 residents
in the top 8.2% nationally
Higher is healthier
ST95thUS92ndDefinition & source ›
The number of physicians’ offices located 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 ›Homeownership rate
50.4%
in the bottom 9.3% nationally
Higher is healthier
ST6thUS9thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Loneliness
28.4%
in the bottom 9.6% nationally
Lower is healthier
ST6thUS10thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Energy-cost burden
1.7%
in the bottom 8.4% nationally
Lower is healthier
ST4thUS8thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Coronary heart disease
5.1%
in the bottom 10.9% nationally
Lower is healthier
ST5thUS11thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Stroke
2.7%
in the bottom 10.2% nationally
Lower is healthier
ST4thUS10thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Food insecurity
9.1%
in the bottom 13.5% nationally
Lower is healthier
ST7thUS13thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Fair or poor health
14.7%
in the bottom 12.3% nationally
Lower is healthier
ST4thUS12thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›The read
ZIP 64154, one of several in Kansas City, Missouri ranks in the top 14.7% healthiest ZIPs nationally (4,695th) and the top 3.3% of Missouri (32nd).
Several of the strongest readings define how this area looks: distance to an emergency room is at the national minimum, shared with about 11% of ZIPs. Physicians registers in the top 8.2% nationally, and modeled loneliness lies in the bottom 9.6% nationally. Modeled energy burden is in the bottom 8.4% nationally, outpatient registers in the top 12.4% nationally, and modeled coronary heart disease lies in the bottom 10.9% nationally. Modeled stroke is in the bottom 10.2% nationally. On the other hand, modeled air-toxics cancer risk registers in the top 4.5% nationally, modeled industrial-pollution burden lies in the top 4.8% nationally, and homeownership is in the bottom 9.3% nationally.
Against its neighbors, park land runs far lower than the surrounding ZIPs on this measure. For context, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Energy burden is the share of household income that goes to home energy bills. The closest ZIP that ranks healthier overall is ZIP 64153, 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
Chronic Disease Burden
healthier than 81%
21%
Social Need / SDOH
healthier than 87%
16%
Preventive Care
healthier than 76%
13%
Risk Behavior
healthier than 76%
11%
Mental Health
healthier than 68%
8%
Disability
healthier than 82%
7%
Healthcare Access
healthier than 77%
5%
About typical
Climate / Disaster Risk
healthier than 46%
5%
Holding it back
Environmental Hazard
healthier than 18%
14%
Lifting this score
Chronic Disease Burden
healthier than 94%
21%
Social Need / SDOH
healthier than 92%
16%
Preventive Care
healthier than 93%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 96%
7%
Climate / Disaster Risk
healthier than 81%
5%
Healthcare Access
healthier than 83%
5%
Holding it back
Environmental Hazard
healthier than 16%
14%
Lifting this score
Chronic Disease Burden
healthier than 78%
21%
Social Need / SDOH
healthier than 74%
16%
Preventive Care
healthier than 85%
13%
Risk Behavior
healthier than 79%
11%
Mental Health
healthier than 71%
8%
Disability
healthier than 79%
7%
Climate / Disaster Risk
healthier than 82%
5%
Healthcare Access
healthier than 71%
5%
About typical
Environmental Hazard
healthier than 45%
14%
Nothing measured is holding this score back.
“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.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 80.5 ± 2.7 years. The 46 nearest ZIP codes with estimates average 77.2 years — 3.3 years above them.
Ranked #660 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 18.6; chronic-disease standing 81.1 — 63 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,653 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 80.5 ± 2.7 years.
Ranked #504 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
64118
Missourishares a border
Score 50.21
Closest healthier
64153
Missourishares a border
Score 61.69
Similar health profile
57105
South Dakota99% similar profile
Score 59.85
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 | 24.6% | 21.9–27.5 |
| High blood pressure among adults | 32.2% | 28.8–36.0 |
| Cancer (non-skin) or melanoma among adults | 8.2% | 7.4–9.0 |
| Current asthma among adults | 9.9% | 8.8–11.2 |
| Coronary heart disease among adults | 5.1% | 4.5–5.7 |
| Chronic obstructive pulmonary disease among adults | 5.2% | 4.6–6.0 |
| Depression among adults | 22.5% | 19.4–26.0 |
| Diagnosed diabetes among adults | 9.3% | 8.1–10.7 |
| High cholesterol among adults who have ever been screened | 35.4% | 31.5–39.3 |
| Obesity among adults | 35.9% | 30.1–42.4 |
| Stroke among adults | 2.7% | 2.5–3.0 |
| All teeth lost among adults aged >=65 years | 12.7% | 10.0–15.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.6% | 5.6–7.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.3% | 72.4–78.1 |
| Visits to doctor for routine checkup within the past year among adults | 80.1% | 77.0–83.1 |
| Cholesterol screening among adults | 86.8% | 85.1–88.5 |
| Colorectal cancer screening among adults aged 45–75 years | 68.5% | 63.0–73.9 |
| Visited dentist or dental clinic in the past year among adults | 68.6% | 64.7–72.2 |
| Mammography use among women aged 50-74 years | 79.2% | 71.1–86.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.7% | 13.9–19.7 |
| Current cigarette smoking among adults | 10.6% | 8.9–12.4 |
| No leisure-time physical activity among adults | 21.5% | 18.0–25.2 |
| Short sleep duration among adults | 35.0% | 28.4–42.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.7% | 12.8–16.8 |
| Frequent mental distress among adults | 15.2% | 13.3–17.1 |
| Frequent physical distress among adults | 11.1% | 9.8–12.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.6% | 12.0–15.3 |
| Any disability among adults | 28.5% | 24.8–32.2 |
| Hearing disability among adults | 6.6% | 5.8–7.4 |
| Independent living disability among adults | 6.6% | 5.8–7.5 |
| Mobility disability among adults | 11.2% | 9.7–12.8 |
| Self-care disability among adults | 2.7% | 2.4–3.0 |
| Vision disability among adults | 3.6% | 3.2–4.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 17.6% | 14.9–20.6 |
| Food insecurity in the past 12 months among adults | 9.1% | 7.7–10.8 |
| Received food stamps in the past 12 months among adults | 6.3% | 5.2–7.5 |
| Housing insecurity in the past 12 months among adults | 9.3% | 7.9–10.9 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 5.4–7.2 |
| Loneliness among adults | 28.4% | 24.1–32.8 |
| Utility services shut-off threat in the past 12 months among adults | 6.7% | 5.7–7.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.9% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 8.8% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 2.9% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 48.6% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 3.3% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 3.6% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 95.5% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 30.2% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 50.4% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 1.9% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 9.9% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 48.4% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 17.2% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 35.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $86,213 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $355,700 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $1,441 | $1,021 ($677–$1,912) n=25,670 | $813 ($553–$1,265) n=786 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 80.5 yr ± 1.37 | 78.9 yr (74.7–82.8) n=31,308 | 77.6 yr (74.6–81.0) n=995 |
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 1.37 years of 80.5, 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