ZIP code
64158
in Kansas City, MissouriPopulation 7,317
58.09/ 100
Ranked #6,318 of 32,066 US ZIPs (top 20%)
Ranked #50 of 993 Missouri ZIPs (top 5.1%)
Ranked #47 of 200 Kansas City, MO-KS ZIPs (top 24%)
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.
Physician access
3.1 per 1,000 residents
in the top 3.3% nationally
Higher is healthier
ST98thUS97thDefinition & 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 ›Industrial-pollution burden
in the top 3.7% nationally
Lower is healthier
ST97thUS96thDefinition & 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 ›Fatal road crashes
1.4 per 100,000 residents per year
in the bottom 5.2% nationally
Lower is healthier
ST2ndUS5thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Outpatient-care access
0.59 per 1,000 residents
in the top 5.6% nationally
Higher is healthier
ST96thUS94thDefinition & source ›
The number of outpatient clinics 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 ›Dental provider access
1 per 1,000 residents
in the top 6.2% nationally
Higher is healthier
ST96thUS94thDefinition & source ›
The number of dental 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 ›Child-care access
0.59 per 1,000 residents
in the top 7.4% nationally
Higher is healthier
ST90thUS93rdDefinition & source ›
The number of child day-care services 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 ›Energy-cost burden
1.7%
in the bottom 6.9% nationally
Lower is healthier
ST3rdUS7thDefinition & 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
4.9%
in the bottom 8.7% nationally
Lower is healthier
ST3rdUS9thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Mammography
80.6%
in the top 8.3% nationally
Higher is healthier
ST98thUS92ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Stroke
2.6%
in the bottom 8.3% nationally
Lower is healthier
ST3rdUS8thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›The read
By its overall health score, ZIP 64158, one of several in Kansas City, Missouri lands in the top 20% healthiest ZIPs nationally (6,318th) and the top 5.1% of Missouri (50th).
A number of signals point in a favorable direction for this area: physicians resides in the top 3.3% nationally, and fatal road crashes lands in the bottom 5.2% nationally. Outpatient registers in the top 5.6% nationally, and dental providers sits in the top 6.2% nationally. Childcare rests in the top 7.4% nationally, modeled energy burden is in the bottom 6.9% nationally, and modeled coronary heart disease stands in the bottom 8.7% nationally. Modeled mammography settles in the top 8.3% nationally, and stroke lies in the bottom 8.3% nationally. Working the other way, modeled industrial-pollution burden resides in the top 3.7% nationally.
Weighed against the ZIPs nearby, park land runs far lower than the surrounding ZIPs on this measure. To translate a couple of terms, 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. Overall, the nearest healthier neighbor is ZIP 64157, 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 83%
21%
Social Need / SDOH
healthier than 91%
16%
Risk Behavior
healthier than 72%
11%
Disability
healthier than 76%
7%
Healthcare Access
healthier than 72%
5%
About typical
Preventive Care
healthier than 45%
13%
Mental Health
healthier than 47%
8%
Climate / Disaster Risk
healthier than 40%
5%
Holding it back
Environmental Hazard
healthier than 27%
14%
Lifting this score
Chronic Disease Burden
healthier than 95%
21%
Social Need / SDOH
healthier than 94%
16%
Preventive Care
healthier than 65%
13%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 82%
8%
Disability
healthier than 94%
7%
Climate / Disaster Risk
healthier than 62%
5%
Healthcare Access
healthier than 79%
5%
Holding it back
Environmental Hazard
healthier than 21%
14%
Lifting this score
Chronic Disease Burden
healthier than 80%
21%
Social Need / SDOH
healthier than 81%
16%
Risk Behavior
healthier than 74%
11%
Disability
healthier than 70%
7%
Climate / Disaster Risk
healthier than 64%
5%
Healthcare Access
healthier than 63%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Preventive Care
healthier than 49%
13%
Mental Health
healthier than 55%
8%
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
One of our published findings lists 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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 27.6; chronic-disease standing 82.9 — 55 points apart, heavier on the environment than it is on chronic illness.
Ranked #14,928 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
64068
Missourishares a border
Score 56.20
Closest healthier
64157
Missourishares a border
Score 62.71
Similar health profile
28204
North Carolina98% similar profile
Score 68.55
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 | 25.0% | 22.3–28.1 |
| High blood pressure among adults | 32.1% | 28.6–35.8 |
| Cancer (non-skin) or melanoma among adults | 7.5% | 6.7–8.3 |
| Current asthma among adults | 10.5% | 9.2–11.9 |
| Coronary heart disease among adults | 4.9% | 4.3–5.6 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.6–6.4 |
| Depression among adults | 23.8% | 20.6–27.4 |
| Diagnosed diabetes among adults | 9.5% | 8.1–11.0 |
| High cholesterol among adults who have ever been screened | 34.4% | 30.8–38.4 |
| Obesity among adults | 36.2% | 30.7–42.2 |
| Stroke among adults | 2.6% | 2.3–3.0 |
| All teeth lost among adults aged >=65 years | 8.6% | 6.9–10.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.1% | 5.6–8.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.4% | 70.4–76.4 |
| Visits to doctor for routine checkup within the past year among adults | 76.8% | 73.4–80.1 |
| Cholesterol screening among adults | 85.0% | 82.7–87.1 |
| Colorectal cancer screening among adults aged 45–75 years | 61.3% | 56.9–65.4 |
| Visited dentist or dental clinic in the past year among adults | 64.0% | 60.6–67.1 |
| Mammography use among women aged 50-74 years | 80.6% | 74.5–85.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.2% | 13.6–19.2 |
| Current cigarette smoking among adults | 12.6% | 10.0–15.4 |
| No leisure-time physical activity among adults | 22.6% | 18.9–27.1 |
| Short sleep duration among adults | 34.3% | 29.8–38.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.7% | 13.3–18.4 |
| Frequent mental distress among adults | 16.6% | 14.5–19.0 |
| Frequent physical distress among adults | 11.6% | 10.0–13.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.1% | 13.0–17.5 |
| Any disability among adults | 31.0% | 27.0–35.6 |
| Hearing disability among adults | 6.5% | 5.7–7.4 |
| Independent living disability among adults | 7.3% | 6.2–8.5 |
| Mobility disability among adults | 11.9% | 10.1–14.0 |
| Self-care disability among adults | 2.8% | 2.4–3.2 |
| Vision disability among adults | 3.8% | 3.3–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.5% | 15.6–21.8 |
| Food insecurity in the past 12 months among adults | 10.1% | 8.0–12.5 |
| Received food stamps in the past 12 months among adults | 7.2% | 5.5–9.1 |
| Housing insecurity in the past 12 months among adults | 10.4% | 8.4–12.4 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 5.8–8.1 |
| Loneliness among adults | 33.1% | 28.8–37.9 |
| Utility services shut-off threat in the past 12 months among adults | 7.3% | 6.0–8.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.3% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 5.4% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 1.2% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 39.0% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 4.9% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 1.7% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 96.6% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 26.4% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 55.4% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 0.7% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 7.1% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 40.5% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 9.2% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 37.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $105,043 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $371,800 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $1,598 | $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 | 80.6 yr ± 2.06 | 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 2.06 years of 80.6, 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