ZIP code
64752
in Hume, MissouriPopulation 545
39.49/ 100
Ranked #27,089 of 32,066 US ZIPs (bottom 16%)
Ranked #720 of 993 Missouri ZIPs (bottom 27%)
Ranked #178 of 200 Kansas City, MO-KS ZIPs (bottom 11.0%)
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.
Arsenic in groundwater
1.1%
in the bottom 4.3% nationally
Lower is healthier
ST9thUS4thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Transportation noise
14.5%
in the top 4.6% nationally
Lower is healthier
ST97thUS95thDefinition & 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 ›Mammography
67.5%
in the bottom 6.5% nationally
Higher is healthier
ST4thUS6thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›PFAS in drinking water
8.8%
in the bottom 6.4% nationally
Lower is healthier
ST14thUS6thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Fiber broadband
98.1%
in the top 6.5% nationally
Higher is healthier
ST95thUS94thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Distance to a nursing home
11.3 mi
in the top 8.9% nationally
Lower is healthier
ST98thUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Loud transportation noise
1.4%
in the top 12.8% nationally
Lower is healthier
ST91stUS87thDefinition & 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 ›Dry extreme heat
27.5 days/year
in the top 17% nationally
Lower is healthier
ST94thUS83rdDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
Hume, Missouri (ZIP 64752) ranks in the bottom 16% nationally (27,089th) and the bottom 27% of Missouri (720th).
Several signals sit on each side of the ledger here: modeled arsenic stands in the bottom 4.3% nationally, and pfas sits in the bottom 6.4% nationally. Fiber broadband resides in the top 6.5% nationally, and homeownership stands in the top 10.6% nationally. Working the other way, modeled transportation noise sits in the top 4.6% nationally, modeled mammography resides in the bottom 6.5% nationally, and distance to a nursing home stands in the top 8.9% nationally. Modeled loud transportation noise sits in the top 12.8% nationally, cognitive disability resides in the top 14.1% nationally, and colon screening stands in the bottom 12.0% nationally.
For context, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. The closest ZIP that ranks healthier overall is ZIP 64722, 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.
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 32%
21%
Social Need / SDOH
healthier than 28%
16%
Environmental Hazard
healthier than 9%
14%
Preventive Care
healthier than 18%
13%
Risk Behavior
healthier than 12%
11%
Mental Health
healthier than 19%
8%
Disability
healthier than 24%
7%
Climate / Disaster Risk
healthier than 24%
5%
Healthcare Access
healthier than 22%
5%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 47%
21%
Disability
healthier than 43%
7%
Holding it back
Social Need / SDOH
healthier than 29%
16%
Environmental Hazard
healthier than 10%
14%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 26%
11%
Mental Health
healthier than 26%
8%
Climate / Disaster Risk
healthier than 19%
5%
Healthcare Access
healthier than 17%
5%
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 17%
16%
Environmental Hazard
healthier than 29%
14%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 15%
11%
Mental Health
healthier than 20%
8%
Disability
healthier than 15%
7%
Climate / Disaster Risk
healthier than 18%
5%
Healthcare Access
healthier than 4%
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
64722
Missourishares a border
Score 44.51
Closest healthier
66701
Kansasshares a border
Score 46.51
Similar health profile
63735
Missouri98% similar profile
Score 36.73
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 | 31.4% | 28.6–34.3 |
| High blood pressure among adults | 38.9% | 35.4–42.3 |
| Cancer (non-skin) or melanoma among adults | 9.4% | 8.6–10.2 |
| Current asthma among adults | 10.9% | 9.9–12.1 |
| Coronary heart disease among adults | 8.1% | 7.3–8.9 |
| Chronic obstructive pulmonary disease among adults | 9.9% | 8.7–11.2 |
| Depression among adults | 26.1% | 22.9–29.2 |
| Diagnosed diabetes among adults | 13.0% | 11.5–14.5 |
| High cholesterol among adults who have ever been screened | 39.4% | 35.6–43.0 |
| Obesity among adults | 39.4% | 32.8–46.0 |
| Stroke among adults | 4.1% | 3.8–4.5 |
| All teeth lost among adults aged >=65 years | 18.7% | 15.9–21.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 7.3–10.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.7% | 75.3–80.0 |
| Visits to doctor for routine checkup within the past year among adults | 78.1% | 75.1–80.9 |
| Cholesterol screening among adults | 83.9% | 82.1–85.7 |
| Colorectal cancer screening among adults aged 45–75 years | 59.2% | 54.6–63.5 |
| Visited dentist or dental clinic in the past year among adults | 55.0% | 51.8–58.2 |
| Mammography use among women aged 50-74 years | 67.5% | 60.2–74.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.0% | 13.7–18.7 |
| Current cigarette smoking among adults | 19.7% | 17.2–22.6 |
| No leisure-time physical activity among adults | 31.7% | 27.7–36.2 |
| Short sleep duration among adults | 39.8% | 34.2–45.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.2% | 20.6–26.1 |
| Frequent mental distress among adults | 18.6% | 16.9–20.5 |
| Frequent physical distress among adults | 16.2% | 14.6–18.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.0% | 17.0–21.1 |
| Any disability among adults | 39.7% | 35.8–43.9 |
| Hearing disability among adults | 10.0% | 9.0–11.0 |
| Independent living disability among adults | 10.4% | 9.3–11.6 |
| Mobility disability among adults | 18.2% | 16.1–20.4 |
| Self-care disability among adults | 4.5% | 4.0–5.1 |
| Vision disability among adults | 5.7% | 5.1–6.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.0% | 17.5–22.7 |
| Food insecurity in the past 12 months among adults | 14.4% | 12.3–16.6 |
| Received food stamps in the past 12 months among adults | 12.0% | 10.2–14.1 |
| Housing insecurity in the past 12 months among adults | 12.1% | 10.5–13.8 |
| Lack of reliable transportation in the past 12 months among adults | 8.7% | 7.7–9.8 |
| Loneliness among adults | 30.7% | 26.9–34.6 |
| Utility services shut-off threat in the past 12 months among adults | 9.2% | 8.1–10.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.6% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 11.2% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 6.5% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 16.4% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 3.1% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 5.8% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 91.7% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 20.9% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 93.7% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 3.4% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 0.2% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 58.7% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 20.9% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 46.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $66,875 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $159,700 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $675 | $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 | 85.7 yr ± 2.11 | 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 2.11 years of 85.7, 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