ZIP code
65767
in Urbana, MissouriPopulation 1,983
30.42/ 100
Ranked #30,685 of 32,066 US ZIPs (bottom 4.4%)
Ranked #945 of 993 Missouri ZIPs (bottom 4.9%)
Ranked #49 of 52 Springfield, MO ZIPs (bottom 5.8%)
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.
Hearing disability
13.0%
in the top 2.0% nationally
Lower is healthier
ST95thUS98thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Mobility disability
25.8%
in the top 2.6% nationally
Lower is healthier
ST96thUS97thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Cognitive disability
22.8%
in the top 2.7% nationally
Lower is healthier
ST95thUS97thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Independent-living disability
14.4%
in the top 3.5% nationally
Lower is healthier
ST96thUS97thDefinition & 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 ›Coronary heart disease
11.3%
in the top 3.3% nationally
Lower is healthier
ST95thUS97thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Self-care disability
7.1%
in the top 5.4% nationally
Lower is healthier
ST95thUS95thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Stroke
5.9%
in the top 4.7% nationally
Lower is healthier
ST94thUS95thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Fair or poor health
31.6%
in the top 5.8% nationally
Lower is healthier
ST95thUS94thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Arsenic in groundwater
1.1%
in the bottom 4.4% 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 ›Industrial-pollution burden
in the bottom 7.1% nationally
Lower is healthier
ST8thUS7thDefinition & 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 ›The read
Urbana, Missouri (ZIP 65767), overall, ranks in the bottom 4.4% nationally (30,685th) and the bottom 4.9% of Missouri (945th), based on limited data; treat as directional.
Several serious readings shape the profile and deserve first mention: modeled hearing disability sits in the top 2.0% nationally, mobility disability lands in the top 2.6% nationally, and cognitive disability lies in the top 2.7% nationally. Modeled independent living disability stands in the top 3.5% nationally, coronary heart disease rests in the top 3.3% nationally, and self-care disability registers in the top 5.4% nationally. Modeled stroke resides in the top 4.7% nationally, and fair or poor health settles in the top 5.8% nationally. On the better side, modeled arsenic is in the bottom 4.4% nationally, and industrial-pollution burden sits in the bottom 7.1% nationally.
Defined simply, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. ZIP 65622, just across the boundary, comes out healthier overall.
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 Springfield, MO metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 70%
14%
About typical
Healthcare Access
healthier than 52%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 7%
16%
Preventive Care
healthier than 22%
13%
Risk Behavior
healthier than 4%
11%
Mental Health
healthier than 11%
8%
Disability
healthier than 2%
7%
Climate / Disaster RiskPartial
healthier than 26%
5%
Lifting this score
Environmental Hazard
healthier than 65%
14%
About typical
Healthcare Access
healthier than 57%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 4%
16%
Preventive Care
healthier than 21%
13%
Risk Behavior
healthier than 6%
11%
Mental Health
healthier than 9%
8%
Disability
healthier than 2%
7%
Climate / Disaster RiskPartial
healthier than 23%
5%
Lifting this score
Environmental Hazard
healthier than 70%
14%
About typical
Healthcare Access
healthier than 45%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.3%
21%
Social Need / SDOH
in the bottom 1.0%
16%
Preventive Care
healthier than 29%
13%
Risk Behavior
healthier than 5%
11%
Mental Health
healthier than 10%
8%
Disability
in the bottom 1.0%
7%
Climate / Disaster RiskPartial
in the bottom 0.00%
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
65622
Missourishares a border
Score 39.42
Closest healthier
65663
Missourishares a border
Score 44.57
Similar health profile
64748
Missouri100% similar profile
Score 35.42
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 | 38.2% | 35.1–41.1 |
| High blood pressure among adults | 45.7% | 42.1–49.1 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.7–11.3 |
| Current asthma among adults | 11.7% | 10.5–12.8 |
| Coronary heart disease among adults | 11.3% | 10.3–12.2 |
| Chronic obstructive pulmonary disease among adults | 15.3% | 13.8–16.9 |
| Depression among adults | 26.9% | 23.7–30.0 |
| Diagnosed diabetes among adults | 17.9% | 16.0–19.7 |
| High cholesterol among adults who have ever been screened | 42.7% | 39.0–46.2 |
| Obesity among adults | 42.6% | 35.9–49.2 |
| Stroke among adults | 5.9% | 5.4–6.4 |
| All teeth lost among adults aged >=65 years | 22.5% | 19.5–25.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.0% | 10.1–14.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.1% | 78.9–83.0 |
| Visits to doctor for routine checkup within the past year among adults | 79.3% | 76.4–81.9 |
| Cholesterol screening among adults | 82.6% | 80.9–84.4 |
| Colorectal cancer screening among adults aged 45–75 years | 60.5% | 56.5–64.6 |
| Visited dentist or dental clinic in the past year among adults | 52.2% | 49.1–55.3 |
| Mammography use among women aged 50-74 years | 72.1% | 65.9–77.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.3% | 11.3–15.5 |
| Current cigarette smoking among adults | 25.6% | 22.6–28.4 |
| No leisure-time physical activity among adults | 40.4% | 35.7–44.8 |
| Short sleep duration among adults | 38.6% | 33.2–44.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 31.6% | 28.4–34.7 |
| Frequent mental distress among adults | 20.0% | 18.0–21.8 |
| Frequent physical distress among adults | 20.7% | 18.8–22.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 22.8% | 20.5–24.9 |
| Any disability among adults | 48.3% | 44.1–52.1 |
| Hearing disability among adults | 13.0% | 11.9–14.1 |
| Independent living disability among adults | 14.4% | 13.0–15.9 |
| Mobility disability among adults | 25.8% | 23.2–28.3 |
| Self-care disability among adults | 7.1% | 6.4–7.8 |
| Vision disability among adults | 8.7% | 7.9–9.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.4% | 17.9–23.3 |
| Food insecurity in the past 12 months among adults | 21.9% | 19.0–25.0 |
| Received food stamps in the past 12 months among adults | 20.9% | 18.1–23.9 |
| Housing insecurity in the past 12 months among adults | 15.5% | 13.5–17.5 |
| Lack of reliable transportation in the past 12 months among adults | 11.9% | 10.5–13.3 |
| Loneliness among adults | 31.3% | 27.4–35.6 |
| Utility services shut-off threat in the past 12 months among adults | 12.6% | 11.1–14.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 28.8% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 25.8% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 14.0% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 7.6% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 3.7% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 1.3% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 78.1% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 25.6% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 79.7% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 4.5% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 0.9% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 58.9% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 16.2% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 44.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $52,708 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $200,600 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $579 | $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 | 81.7 yr ± 1.28 | 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 1.28 years of 81.7, 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