ZIP code
64101
in Kansas City, MissouriPopulation 203
55.29/ 100
Ranked #9,099 of 32,066 US ZIPs (top 28%)
Ranked #80 of 993 Missouri ZIPs (top 8.1%)
Ranked #72 of 200 Kansas City, MO-KS ZIPs (top 36%)
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.
Transportation noise
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & 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 ›Binge drinking
25.6%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Loud transportation noise
29.8%
in the top 0.04% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Industrial-pollution burden
in the top 0.4% 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 ›Homeownership rate
0.00%
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Air-toxics cancer risk
50 per million
in the top 0.9% 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 ›Coronary heart disease
2.9%
in the bottom 1.4% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Housing-cost burden
56.4%
in the top 1.6% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Stroke
1.6%
in the bottom 1.4% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Mobility disability
6.4%
in the bottom 1.5% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›The read
In overall standing, ZIP 64101, one of several in Kansas City, Missouri comes out in the top 28% healthiest ZIPs nationally (9,099th) and the top 8.1% of Missouri (80th).
The profile opens balanced, with readings on either hand: modeled coronary heart disease lands in the bottom 1.4% nationally, stroke is in the bottom 1.4% nationally, and mobility disability resides in the bottom 1.5% nationally. By contrast, modeled transportation noise rests at the national maximum, binge drinking lies in the top 0.5% nationally, and loud transportation noise sits in the top 0.04% nationally. Modeled industrial-pollution burden settles in the top 0.4% nationally, and homeownership registers at the national minimum. Modeled air-toxics cancer risk stands in the top 0.9% nationally, and housing-cost burden lands in the top 1.6% nationally.
Relative to the ZIPs around it, transportation noise runs far higher than the surrounding ZIPs on this measure. In plain terms, 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. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. The nearest healthier ZIP overall is ZIP 64105, 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 99%
21%
Social Need / SDOH
healthier than 82%
16%
Mental Health
healthier than 72%
8%
Disability
healthier than 97%
7%
Healthcare Access
healthier than 67%
5%
About typical
Risk Behavior
healthier than 46%
11%
Holding it back
Environmental Hazard
in the bottom 0.01%
14%
Preventive Care
healthier than 14%
13%
Climate / Disaster Risk
healthier than 4%
5%
Lifting this score
Chronic Disease Burden
in the top 0.5%
21%
Social Need / SDOH
healthier than 88%
16%
Risk Behavior
healthier than 84%
11%
Mental Health
healthier than 96%
8%
Disability
in the top 0.3%
7%
Healthcare Access
healthier than 73%
5%
Holding it back
Environmental Hazard
in the bottom 0.00%
14%
Preventive Care
healthier than 8%
13%
Climate / Disaster Risk
healthier than 2%
5%
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Social Need / SDOH
healthier than 69%
16%
Mental Health
healthier than 76%
8%
Disability
healthier than 94%
7%
About typical
Risk Behavior
healthier than 52%
11%
Healthcare Access
healthier than 56%
5%
Holding it back
Environmental Hazard
in the bottom 0.00%
14%
Preventive Care
healthier than 12%
13%
Climate / Disaster Risk
healthier than 3%
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
64105
Missourishares a border
Score 59.37
Closest healthier
64111
Missouriabout 1.7 mi away
Score 56.18
Similar health profile
58102
North Dakota96% similar profile
Score 53.96
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 | 13.3% | 11.8–15.0 |
| High blood pressure among adults | 25.0% | 22.5–27.7 |
| Cancer (non-skin) or melanoma among adults | 3.7% | 3.3–4.1 |
| Current asthma among adults | 8.0% | 7.1–9.1 |
| Coronary heart disease among adults | 2.9% | 2.5–3.3 |
| Chronic obstructive pulmonary disease among adults | 3.0% | 2.4–3.7 |
| Depression among adults | 20.9% | 18.4–23.6 |
| Diagnosed diabetes among adults | 6.5% | 5.6–7.5 |
| High cholesterol among adults who have ever been screened | 29.2% | 26.5–32.1 |
| Obesity among adults | 33.5% | 29.7–37.6 |
| Stroke among adults | 1.6% | 1.4–1.9 |
| All teeth lost among adults aged >=65 years | 7.0% | 5.6–8.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.4% | 5.6–10.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 59.0% | 55.4–62.7 |
| Visits to doctor for routine checkup within the past year among adults | 70.6% | 67.1–73.9 |
| Cholesterol screening among adults | 82.0% | 78.9–84.5 |
| Colorectal cancer screening among adults aged 45–75 years | 61.4% | 57.4–65.2 |
| Visited dentist or dental clinic in the past year among adults | 70.6% | 67.7–73.3 |
| Mammography use among women aged 50-74 years | 76.8% | 71.2–82.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 25.6% | 22.4–29.1 |
| Current cigarette smoking among adults | 11.0% | 8.1–14.5 |
| No leisure-time physical activity among adults | 18.6% | 15.3–22.2 |
| Short sleep duration among adults | 33.0% | 29.3–36.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.8% | 10.5–15.2 |
| Frequent mental distress among adults | 15.9% | 13.6–18.2 |
| Frequent physical distress among adults | 8.4% | 7.1–9.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.0% | 10.8–15.5 |
| Any disability among adults | 24.0% | 20.4–27.7 |
| Hearing disability among adults | 4.1% | 3.5–4.7 |
| Independent living disability among adults | 5.1% | 4.2–6.1 |
| Mobility disability among adults | 6.4% | 5.3–7.7 |
| Self-care disability among adults | 2.0% | 1.7–2.4 |
| Vision disability among adults | 2.9% | 2.4–3.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.6% | 19.2–26.3 |
| Food insecurity in the past 12 months among adults | 9.8% | 7.3–13.1 |
| Received food stamps in the past 12 months among adults | 5.8% | 4.1–8.4 |
| Housing insecurity in the past 12 months among adults | 11.4% | 9.0–14.6 |
| Lack of reliable transportation in the past 12 months among adults | 7.1% | 5.7–8.7 |
| Loneliness among adults | 31.0% | 27.4–34.8 |
| Utility services shut-off threat in the past 12 months among adults | 8.4% | 6.7–10.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 24.8% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 17.8% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 39.5% | 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 | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 56.4% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 0.0% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | — | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 0.0% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 26.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $1,254 | $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 | 76.3 yr ± 1.09 | 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 1.09 years of 76.3, 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