ZIP code
64125
in Kansas City, MissouriPopulation 2,472
20.65/ 100
Ranked #31,845 of 32,066 US ZIPs (bottom 0.7%)
Ranked #992 of 993 Missouri ZIPs (bottom 0.2%)
Ranked #200 of 200 Kansas City, MO-KS ZIPs (bottom 0.5%)
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.
Colon-cancer screening
42.4%
in the bottom 0.4% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Uninsured (under 65)
28.6%
in the top 1.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Tooth loss
38.9%
in the top 0.6% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Cognitive disability
27.5%
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Vision disability
12.6%
in the top 1.6% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Fair or poor health
39.2%
in the top 0.9% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Independent-living disability
16%
in the top 1.7% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Self-care disability
8.5%
in the top 2.0% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Housing insecurity
33.3%
in the top 0.7% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Mental-health provider access
0.5 per 1,000 residents
in the top 0.9% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of mental-health 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 ›The read
ZIP 64125, one of several in Kansas City, Missouri, on the composite measure, lands in the bottom 0.7% nationally (31,845th) and the bottom 0.2% of Missouri (992nd).
Where this area is stretched, the data is unambiguous: modeled colon screening lands in the bottom 0.4% nationally, uninsured resides in the top 1.4% nationally, and tooth loss lies in the top 0.6% nationally. Modeled cognitive disability settles in the top 0.4% nationally, vision disability stands in the top 1.6% nationally, and fair or poor health is in the top 0.9% nationally. Modeled independent living disability rests in the top 1.7% nationally, and self-care disability sits in the top 2.0% nationally. Modeled housing insecurity registers in the top 0.7% nationally. Better still, mental-health providers lands in the top 0.9% nationally.
Set against the neighboring ZIPs, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. A healthier neighbor overall sits at ZIP 64053, 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
Healthcare Access
healthier than 75%
5%
Holding it back
Chronic Disease Burden
healthier than 24%
21%
Social Need / SDOH
healthier than 1%
16%
Environmental Hazard
healthier than 2%
14%
Preventive Care
in the bottom 0.5%
13%
Risk Behavior
in the bottom 0.4%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 1%
7%
Climate / Disaster Risk
healthier than 24%
5%
Lifting this score
Healthcare Access
healthier than 81%
5%
Holding it back
Chronic Disease Burden
healthier than 36%
21%
Social Need / SDOH
in the bottom 0.5%
16%
Environmental Hazard
healthier than 2%
14%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 1%
8%
Disability
healthier than 1%
7%
Climate / Disaster Risk
healthier than 17%
5%
Lifting this score
Healthcare Access
healthier than 68%
5%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
in the bottom 0.6%
16%
Environmental Hazard
healthier than 12%
14%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
healthier than 2%
8%
Disability
healthier than 1%
7%
Climate / Disaster Risk
healthier than 17%
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
64053
Missourishares a border
Score 25.80
Closest healthier
64120
Missourishares a border
Score 27.14
Similar health profile
35805
Alabama99% similar profile
Score 34.94
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 | 25.4% | 23.2–27.7 |
| High blood pressure among adults | 37.7% | 34.9–40.7 |
| Cancer (non-skin) or melanoma among adults | 4.6% | 4.2–5.1 |
| Current asthma among adults | 10.5% | 9.4–11.8 |
| Coronary heart disease among adults | 7.6% | 6.8–8.4 |
| Chronic obstructive pulmonary disease among adults | 11.0% | 9.8–12.3 |
| Depression among adults | 26.4% | 23.7–29.4 |
| Diagnosed diabetes among adults | 17.6% | 15.8–19.5 |
| High cholesterol among adults who have ever been screened | 39.7% | 36.8–42.8 |
| Obesity among adults | 46.2% | 42.2–50.5 |
| Stroke among adults | 4.5% | 4.1–4.9 |
| All teeth lost among adults aged >=65 years | 38.9% | 34.2–43.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 28.6% | 24.7–32.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.9% | 67.9–73.9 |
| Visits to doctor for routine checkup within the past year among adults | 72.0% | 68.8–75.0 |
| Cholesterol screening among adults | 75.4% | 72.7–77.9 |
| Colorectal cancer screening among adults aged 45–75 years | 42.4% | 38.3–46.6 |
| Visited dentist or dental clinic in the past year among adults | 37.0% | 34.1–40.0 |
| Mammography use among women aged 50-74 years | 64.9% | 57.7–71.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.8% | 13.7–18.1 |
| Current cigarette smoking among adults | 27.1% | 24.0–30.5 |
| No leisure-time physical activity among adults | 49.7% | 45.5–54.2 |
| Short sleep duration among adults | 40.9% | 36.9–45.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 39.2% | 35.6–43.1 |
| Frequent mental distress among adults | 23.3% | 21.1–25.8 |
| Frequent physical distress among adults | 20.9% | 18.8–23.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 27.5% | 24.8–30.5 |
| Any disability among adults | 49.4% | 45.6–53.7 |
| Hearing disability among adults | 9.0% | 8.0–10.0 |
| Independent living disability among adults | 16.0% | 14.4–18.0 |
| Mobility disability among adults | 24.3% | 21.8–26.9 |
| Self-care disability among adults | 8.5% | 7.6–9.4 |
| Vision disability among adults | 12.6% | 11.4–14.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.0% | 24.6–31.3 |
| Food insecurity in the past 12 months among adults | 41.9% | 37.3–46.3 |
| Received food stamps in the past 12 months among adults | 35.7% | 31.3–39.8 |
| Housing insecurity in the past 12 months among adults | 33.3% | 29.7–37.0 |
| Lack of reliable transportation in the past 12 months among adults | 21.3% | 18.8–23.8 |
| Loneliness among adults | 36.3% | 32.5–40.1 |
| Utility services shut-off threat in the past 12 months among adults | 24.6% | 21.8–27.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 30.8% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 38.6% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 29.8% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 8.2% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 9.4% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 8.4% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 89.7% | 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 | 68.5% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 12.8% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 20.4% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 23.7% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 8.3% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 21.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $41,983 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $107,200 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $792 | $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 | 69.8 yr ± 1.34 | 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 1.34 years of 69.8, 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