ZIP code
64146
in Kansas City, MissouriPopulation 1,278
53.38/ 100
Ranked #11,522 of 32,066 US ZIPs (top 36%)
Ranked #106 of 993 Missouri ZIPs (top 10.7%)
Ranked #82 of 200 Kansas City, MO-KS ZIPs (top 41%)
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.
Recreation access
2.7 per 1,000 residents
in the top 0.7% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Loud transportation noise
3.8%
in the top 2.4% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Fatal road crashes
46.9 per 100,000 residents per year
in the top 4.7% nationally
Lower is healthier
ST94thUS95thDefinition & 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 ›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 ›Park land
28.6%
in the top 5.0% nationally
Higher is healthier
ST96thUS95thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›PFAS in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents served by public water systems where PFAS — man-made “forever chemicals” that build up in the body and environment instead of breaking down — were detected in EPA testing.
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 ›Transportation noise
13.1%
in the top 5.5% nationally
Lower is healthier
ST96thUS95thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Air-toxics cancer risk
38.8 per million
in the top 7.5% nationally
Lower is healthier
ST89thUS93rdDefinition & 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 ›Tooth loss
7.7%
in the bottom 11.5% nationally
Lower is healthier
ST3rdUS11thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Fine-particle (PM2.5) exceedance
0.55%
in the top 14.9% nationally
Lower is healthier
ST99thUS85thDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›The read
ZIP 64146, one of several in Kansas City, Missouri, by its composite score, sits in the top 36% healthiest ZIPs nationally (11,522nd) and the top 10.7% of Missouri (106th).
The data opens on a genuinely even set of readings: recreation stands in the top 0.7% nationally, and park land registers in the top 5.0% nationally. Unemployment settles at the national minimum, shared with about 15% of ZIPs. On the other side, modeled loud transportation noise sits in the top 2.4% nationally, fatal road crashes lies in the top 4.7% nationally, and modeled industrial-pollution burden rests in the top 4.8% nationally. PFAS in drinking water resides at the national maximum, modeled transportation noise is in the top 5.5% nationally, and modeled air-toxics cancer risk lands in the top 7.5% nationally. Slow internet speeds stands in the top 10.5% nationally.
Next to the surrounding area, park land runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. PFAS in drinking water is the family of man-made "forever chemicals" that build up in the body and environment instead of breaking down. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. For a healthier comparison close by, see ZIP 64145, 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 66%
21%
Social Need / SDOH
healthier than 75%
16%
Preventive Care
healthier than 74%
13%
Risk Behavior
healthier than 71%
11%
Disability
healthier than 60%
7%
Healthcare Access
healthier than 61%
5%
About typical
Mental Health
healthier than 44%
8%
Holding it back
Environmental Hazard
healthier than 4%
14%
Climate / Disaster Risk
healthier than 29%
5%
Lifting this score
Chronic Disease Burden
healthier than 85%
21%
Social Need / SDOH
healthier than 82%
16%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 79%
8%
Disability
healthier than 87%
7%
Healthcare Access
healthier than 67%
5%
Holding it back
Environmental Hazard
healthier than 4%
14%
Climate / Disaster Risk
healthier than 28%
5%
Lifting this score
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 72%
11%
About typical
Chronic Disease Burden
healthier than 56%
21%
Social Need / SDOH
healthier than 58%
16%
Mental Health
healthier than 52%
8%
Disability
healthier than 57%
7%
Healthcare Access
healthier than 45%
5%
Holding it back
Environmental Hazard
healthier than 17%
14%
Climate / Disaster Risk
healthier than 33%
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
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 4.1 (bottom 10%); chronic-disease standing 65.6 — 62 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,563 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
64030
Missourishares a border
Score 43.33
Closest healthier
64145
Missourishares a border
Score 56.82
Similar health profile
40206
Kentucky98% similar profile
Score 54.83
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 | 29.1% | 26.6–31.8 |
| High blood pressure among adults | 35.4% | 32.5–38.6 |
| Cancer (non-skin) or melanoma among adults | 9.7% | 8.8–10.6 |
| Current asthma among adults | 10.0% | 8.9–11.2 |
| Coronary heart disease among adults | 6.3% | 5.6–7.0 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 5.9–7.9 |
| Depression among adults | 24.5% | 21.8–27.4 |
| Diagnosed diabetes among adults | 11.1% | 9.7–12.5 |
| High cholesterol among adults who have ever been screened | 41.2% | 38.2–44.3 |
| Obesity among adults | 32.8% | 29.1–37.0 |
| Stroke among adults | 3.4% | 3.1–3.8 |
| All teeth lost among adults aged >=65 years | 7.7% | 6.3–9.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.4% | 6.0–8.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.3% | 75.9–80.5 |
| Visits to doctor for routine checkup within the past year among adults | 79.0% | 76.5–81.5 |
| Cholesterol screening among adults | 87.1% | 85.4–88.7 |
| Colorectal cancer screening among adults aged 45–75 years | 69.9% | 66.0–73.6 |
| Visited dentist or dental clinic in the past year among adults | 67.0% | 64.0–69.8 |
| Mammography use among women aged 50-74 years | 77.4% | 71.9–82.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.7% | 14.5–19.0 |
| Current cigarette smoking among adults | 12.1% | 10.2–14.4 |
| No leisure-time physical activity among adults | 26.4% | 23.0–30.1 |
| Short sleep duration among adults | 31.7% | 28.2–35.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.6% | 15.4–20.1 |
| Frequent mental distress among adults | 16.4% | 14.6–18.3 |
| Frequent physical distress among adults | 12.6% | 11.1–14.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.5% | 12.7–16.4 |
| Any disability among adults | 33.5% | 30.2–37.3 |
| Hearing disability among adults | 7.8% | 6.9–8.8 |
| Independent living disability among adults | 8.1% | 7.0–9.2 |
| Mobility disability among adults | 14.9% | 13.0–17.0 |
| Self-care disability among adults | 3.3% | 2.9–3.7 |
| Vision disability among adults | 4.4% | 3.9–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.7% | 17.2–22.5 |
| Food insecurity in the past 12 months among adults | 10.9% | 9.2–12.8 |
| Received food stamps in the past 12 months among adults | 7.8% | 6.4–9.1 |
| Housing insecurity in the past 12 months among adults | 10.2% | 8.7–11.8 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 6.0–7.9 |
| Loneliness among adults | 30.4% | 27.2–34.0 |
| Utility services shut-off threat in the past 12 months among adults | 7.4% | 6.4–8.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.4% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 7.3% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 0.4% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 58.5% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 1.5% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 94.1% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 28.5% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 81.1% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 4.1% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 75.1% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 30.9% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 49.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $66,481 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $206,700 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $2,089 | $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 | 79.3 yr ± 1.26 | 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 1.26 years of 79.3, 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