ZIP code
65065
in Osage Beach, MissouriPopulation 7,197
49.16/ 100
Ranked #17,435 of 32,066 US ZIPs (bottom 46%)
Ranked #227 of 993 Missouri ZIPs (top 23%)
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
1.9 per 1,000 residents
in the top 1.9% nationally
Higher is healthier
ST99thUS98thDefinition & 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 ›Physician access
3.9 per 1,000 residents
in the top 2.1% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of physicians’ offices 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 ›Grocery access
0.29 per 1,000 residents
in the top 3.8% nationally
Higher is healthier
ST96thUS96thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Elder-services access
0.29 per 1,000 residents
in the top 4.8% nationally
Higher is healthier
ST94thUS95thDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Industrial-pollution burden
in the bottom 5.9% nationally
Lower is healthier
ST6thUS6thDefinition & 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 ›Pharmacy access
0.44 per 1,000 residents
in the top 6.8% nationally
Higher is healthier
ST94thUS93rdDefinition & source ›
The number of pharmacies 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 ›Loneliness
28.7%
in the bottom 11.6% nationally
Lower is healthier
ST8thUS12thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›PFAS in drinking water
51.9%
in the top 12.2% nationally
Lower is healthier
ST98thUS88thDefinition & 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 ›Energy-cost burden
2.3%
in the bottom 19% nationally
Lower is healthier
ST9thUS19thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›The read
Overall, Osage Beach, Missouri (ZIP 65065) lands in the bottom 46% nationally (17,435th) and the top 23% of Missouri (227th).
A number of measures mark where this area is under strain: floodplain exposure settles in the top 11.4% nationally. On the brighter side, recreation resides in the top 1.9% nationally, and physicians registers in the top 2.1% nationally. Grocery rests in the top 3.8% nationally, and elder services stands in the top 4.8% nationally. Distance to an emergency room lies at the national minimum, shared with about 11% of ZIPs. Modeled industrial-pollution burden lands in the bottom 5.9% nationally, pharmacy sits in the top 6.8% nationally, and civic is in the top 10.3% nationally. Distance to a community health center settles at the national minimum, shared with about 23% of ZIPs.
Set beside the nearby areas, park land runs far higher than the surrounding ZIPs on this measure. A note on the terms: industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". For a healthier nearby comparison, ZIP 65049, just across the boundary, ranks better 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 90%
16%
Preventive Care
healthier than 62%
13%
Healthcare Access
in the top 0.00%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Risk Behavior
healthier than 52%
11%
Mental Health
healthier than 58%
8%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Disability
healthier than 28%
7%
Climate / Disaster Risk
healthier than 18%
5%
Lifting this score
Social Need / SDOH
healthier than 93%
16%
Preventive Care
healthier than 85%
13%
Risk Behavior
healthier than 87%
11%
Mental Health
healthier than 91%
8%
Healthcare Access
in the top 0.00%
5%
About typical
Environmental Hazard
healthier than 50%
14%
Disability
healthier than 53%
7%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Climate / Disaster Risk
healthier than 10%
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
2 of our published findings list 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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 74.8 ± 1.4 years. A median household income of $60,785 predicts 78.1 years — 3.3 years below.
Ranked #4,458 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 74.8 ± 1.4 years. The 50 nearest ZIP codes with estimates average 77.8 years — 3.0 years below them.
Ranked #2,397 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
65047
Missourishares a border
Score 41.97
Closest healthier
65049
Missourishares a border
Score 53.41
Similar health profile
36518
Alabama93% similar profile
Score 50.75
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 | 34.6% | 31.3–38.2 |
| High blood pressure among adults | 40.7% | 36.7–44.9 |
| Cancer (non-skin) or melanoma among adults | 11.3% | 10.3–12.4 |
| Current asthma among adults | 10.4% | 9.2–11.7 |
| Coronary heart disease among adults | 8.9% | 8.0–9.9 |
| Chronic obstructive pulmonary disease among adults | 9.7% | 8.5–10.9 |
| Depression among adults | 23.2% | 20.1–26.8 |
| Diagnosed diabetes among adults | 14.2% | 12.5–16.2 |
| High cholesterol among adults who have ever been screened | 42.9% | 38.7–47.5 |
| Obesity among adults | 35.4% | 28.6–43.1 |
| Stroke among adults | 4.4% | 4.0–4.8 |
| All teeth lost among adults aged >=65 years | 20.4% | 17.4–23.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.4% | 7.0–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.5% | 79.0–83.9 |
| Visits to doctor for routine checkup within the past year among adults | 81.2% | 78.2–84.1 |
| Cholesterol screening among adults | 87.1% | 85.5–88.6 |
| Colorectal cancer screening among adults aged 45–75 years | 65.6% | 60.6–70.5 |
| Visited dentist or dental clinic in the past year among adults | 61.0% | 57.6–64.5 |
| Mammography use among women aged 50-74 years | 74.4% | 67.0–81.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.9% | 11.6–16.6 |
| Current cigarette smoking among adults | 15.7% | 13.5–18.2 |
| No leisure-time physical activity among adults | 30.8% | 26.4–35.9 |
| Short sleep duration among adults | 35.3% | 29.5–41.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.7% | 19.0–24.6 |
| Frequent mental distress among adults | 15.8% | 14.0–17.7 |
| Frequent physical distress among adults | 15.6% | 13.9–17.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.1% | 14.3–18.1 |
| Any disability among adults | 37.7% | 33.4–42.6 |
| Hearing disability among adults | 10.6% | 9.5–11.8 |
| Independent living disability among adults | 9.4% | 8.3–10.5 |
| Mobility disability among adults | 18.7% | 16.4–21.1 |
| Self-care disability among adults | 4.4% | 3.9–4.9 |
| Vision disability among adults | 5.5% | 4.9–6.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.4% | 15.7–21.4 |
| Food insecurity in the past 12 months among adults | 11.9% | 10.1–13.9 |
| Received food stamps in the past 12 months among adults | 9.4% | 8.0–11.1 |
| Housing insecurity in the past 12 months among adults | 9.7% | 8.3–11.2 |
| Lack of reliable transportation in the past 12 months among adults | 7.3% | 6.4–8.3 |
| Loneliness among adults | 28.7% | 24.3–33.1 |
| Utility services shut-off threat in the past 12 months among adults | 7.3% | 6.4–8.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.9% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 16.5% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 9.2% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 27.1% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 2.9% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 5.9% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 83.6% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 33.2% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 67.4% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 1.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 6.3% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 72.2% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 32.3% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 58.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $60,785 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $371,600 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $790 | $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 | 74.8 yr ± 0.70 | 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 0.70 years of 74.8, 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