ZIP code
64477
in Plattsburg, MissouriPopulation 3,489
48.75/ 100
Ranked #17,992 of 32,066 US ZIPs (bottom 44%)
Ranked #243 of 993 Missouri ZIPs (top 24%)
Ranked #124 of 200 Kansas City, MO-KS ZIPs (bottom 38%)
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.
Elder-services access
0.3 per 1,000 residents
in the top 4.5% nationally
Higher is healthier
ST94thUS96thDefinition & 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 ›Radon
3 pCi/L
in the top 9.6% nationally
Lower is healthier
ST97thUS90thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›Loneliness
28.4%
in the bottom 9.6% nationally
Lower is healthier
ST6thUS10thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Dental provider access
0.61 per 1,000 residents
in the top 18% nationally
Higher is healthier
ST91stUS82ndDefinition & source ›
The number of dental 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 ›Fatal road crashes
5.7 per 100,000 residents per year
in the bottom 24% nationally
Lower is healthier
ST10thUS24thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›The read
Plattsburg, Missouri (ZIP 64477), by its composite score, sits in the bottom 44% nationally (17,992nd) and the top 24% of Missouri (243rd).
The data opens on a genuinely even set of readings: elder services rests in the top 4.5% nationally, and modeled loneliness resides in the bottom 9.6% nationally. Modeled loud transportation noise is at the national minimum, shared with about 22% of ZIPs. Distance to a nursing home lands at the national minimum, shared with about 27% of ZIPs. Pharmacy stands in the top 13.7% nationally, fiber broadband registers in the top 16% nationally, and outpatient settles in the top 17% nationally. On the other side, modeled radon sits in the top 9.6% nationally. Distance to a hazardous-chemical facility lies at the national minimum, shared with about 31% of ZIPs. Lithium in drinking water rests in the top 18% nationally.
For anyone unfamiliar, radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. For a healthier comparison close by, see ZIP 64048, 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.
About typical
Social Need / SDOH
healthier than 45%
16%
Preventive Care
healthier than 55%
13%
Risk Behavior
healthier than 45%
11%
Mental Health
healthier than 46%
8%
Climate / Disaster Risk
healthier than 43%
5%
Healthcare Access
healthier than 48%
5%
Holding it back
Chronic Disease Burden
healthier than 39%
21%
Environmental Hazard
healthier than 33%
14%
Disability
healthier than 37%
7%
Lifting this score
Preventive Care
healthier than 77%
13%
Risk Behavior
healthier than 84%
11%
Mental Health
healthier than 81%
8%
Disability
healthier than 67%
7%
Climate / Disaster Risk
healthier than 73%
5%
About typical
Chronic Disease Burden
healthier than 58%
21%
Social Need / SDOH
healthier than 50%
16%
Healthcare Access
healthier than 55%
5%
Holding it back
Environmental Hazard
healthier than 24%
14%
Lifting this score
Environmental Hazard
healthier than 65%
14%
Preventive Care
healthier than 62%
13%
Climate / Disaster Risk
healthier than 76%
5%
About typical
Risk Behavior
healthier than 51%
11%
Mental Health
healthier than 54%
8%
Holding it back
Chronic Disease Burden
healthier than 22%
21%
Social Need / SDOH
healthier than 28%
16%
Disability
healthier than 31%
7%
Healthcare Access
healthier than 33%
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
64048
Missourishares a border
Score 53.97
Closest healthier
64454
Missourishares a border
Score 49.60
Similar health profile
24572
Virginia97% similar profile
Score 48.35
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 | 32.3% | 28.8–35.9 |
| High blood pressure among adults | 40.1% | 36.0–44.5 |
| Cancer (non-skin) or melanoma among adults | 10.2% | 9.3–11.3 |
| Current asthma among adults | 10.4% | 9.2–11.8 |
| Coronary heart disease among adults | 7.9% | 7.0–9.0 |
| Chronic obstructive pulmonary disease among adults | 8.8% | 7.5–10.2 |
| Depression among adults | 24.1% | 20.6–27.7 |
| Diagnosed diabetes among adults | 12.6% | 10.9–14.7 |
| High cholesterol among adults who have ever been screened | 40.0% | 35.6–44.3 |
| Obesity among adults | 39.3% | 32.1–46.7 |
| Stroke among adults | 4.0% | 3.6–4.5 |
| All teeth lost among adults aged >=65 years | 11.2% | 9.0–13.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.7% | 6.1–9.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.8% | 76.9–82.4 |
| Visits to doctor for routine checkup within the past year among adults | 79.7% | 76.2–82.8 |
| Cholesterol screening among adults | 86.3% | 84.3–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 64.5% | 59.2–69.3 |
| Visited dentist or dental clinic in the past year among adults | 63.4% | 59.6–67.0 |
| Mammography use among women aged 50-74 years | 74.0% | 65.4–81.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.3% | 12.6–18.2 |
| Current cigarette smoking among adults | 16.0% | 13.4–18.9 |
| No leisure-time physical activity among adults | 30.2% | 25.4–35.5 |
| Short sleep duration among adults | 34.9% | 28.3–41.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.9% | 17.9–24.2 |
| Frequent mental distress among adults | 16.5% | 14.5–18.7 |
| Frequent physical distress among adults | 15.1% | 13.1–17.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.4% | 14.4–18.7 |
| Any disability among adults | 37.9% | 33.2–43.0 |
| Hearing disability among adults | 9.6% | 8.4–10.8 |
| Independent living disability among adults | 9.0% | 7.8–10.3 |
| Mobility disability among adults | 17.2% | 14.7–19.9 |
| Self-care disability among adults | 4.0% | 3.5–4.5 |
| Vision disability among adults | 5.0% | 4.4–5.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.9% | 15.8–22.2 |
| Food insecurity in the past 12 months among adults | 11.7% | 9.6–14.1 |
| Received food stamps in the past 12 months among adults | 8.9% | 7.3–10.8 |
| Housing insecurity in the past 12 months among adults | 10.0% | 8.4–11.9 |
| Lack of reliable transportation in the past 12 months among adults | 7.2% | 6.1–8.3 |
| Loneliness among adults | 28.4% | 23.8–33.3 |
| Utility services shut-off threat in the past 12 months among adults | 7.4% | 6.3–8.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.1% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 15.0% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 8.6% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 27.4% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 1.1% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 6.7% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 83.3% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 33.5% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 72.5% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 2.5% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 0.3% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 57.5% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 25.1% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 50.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $64,643 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $238,900 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $793 | $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 | 78.2 yr ± 1.02 | 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 1.02 years of 78.2, 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