ZIP code
64084
in Rayville, MissouriPopulation 1,380
46.49/ 100
Ranked #20,764 of 32,066 US ZIPs (bottom 35%)
Ranked #359 of 993 Missouri ZIPs (top 36%)
Ranked #141 of 200 Kansas City, MO-KS ZIPs (bottom 30%)
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.
Fatal road crashes
43.5 per 100,000 residents per year
in the top 5.7% nationally
Lower is healthier
ST92ndUS94thDefinition & 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 ›Homeownership rate
94.4%
in the top 9.4% nationally
Higher is healthier
ST90thUS91stDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›The read
By the composite measure, Rayville, Missouri (ZIP 64084) sits in the bottom 35% nationally (20,764th) and the top 36% of Missouri (359th).
Where the data leans one way, another reading answers it: homeownership registers in the top 9.4% nationally, modeled transportation noise lands in the bottom 12.6% nationally, and modeled loneliness resides in the bottom 17% nationally. On the other hand, fatal road crashes lies in the top 5.7% nationally. Recreation settles at the national minimum, shared with about 35% of ZIPs. Walkability stands in the bottom 18% nationally, and modeled hearing disability is in the top 17% nationally. Physicians rests at the national minimum, shared with about 38% of ZIPs. Modeled extreme heat sits in the top 19% nationally, and high cholesterol registers in the top 17% nationally.
In plain language, transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. ZIP 64024, just across the boundary, ranks 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 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
Environmental Hazard
healthier than 65%
14%
About typical
Social Need / SDOH
healthier than 43%
16%
Preventive Care
healthier than 56%
13%
Mental Health
healthier than 46%
8%
Healthcare Access
healthier than 48%
5%
Holding it back
Chronic Disease Burden
healthier than 23%
21%
Risk Behavior
healthier than 28%
11%
Disability
healthier than 31%
7%
Climate / Disaster Risk
healthier than 36%
5%
Lifting this score
Preventive Care
healthier than 78%
13%
Risk Behavior
healthier than 64%
11%
Mental Health
healthier than 81%
8%
About typical
Social Need / SDOH
healthier than 48%
16%
Environmental Hazard
healthier than 58%
14%
Disability
healthier than 59%
7%
Climate / Disaster Risk
healthier than 47%
5%
Healthcare Access
healthier than 54%
5%
Holding it back
Chronic Disease Burden
healthier than 35%
21%
Lifting this score
Environmental Hazard
healthier than 96%
14%
Preventive Care
healthier than 66%
13%
About typical
Mental Health
healthier than 54%
8%
Climate / Disaster Risk
healthier than 51%
5%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 26%
16%
Risk Behavior
healthier than 35%
11%
Disability
healthier than 25%
7%
Healthcare Access
healthier than 31%
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
64024
Missourishares a border
Score 47.45
Closest healthier
64062
Missourishares a border
Score 46.81
Similar health profile
15752
Pennsylvania95% similar profile
Score 43.27
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 | 34.3% | 30.7–38.3 |
| High blood pressure among adults | 41.9% | 37.6–46.4 |
| Cancer (non-skin) or melanoma among adults | 10.7% | 9.7–11.9 |
| Current asthma among adults | 10.6% | 9.4–12.0 |
| Coronary heart disease among adults | 8.3% | 7.3–9.4 |
| Chronic obstructive pulmonary disease among adults | 9.7% | 8.3–11.3 |
| Depression among adults | 24.0% | 20.5–27.8 |
| Diagnosed diabetes among adults | 14.0% | 12.0–16.2 |
| High cholesterol among adults who have ever been screened | 41.8% | 37.4–46.5 |
| Obesity among adults | 39.1% | 31.2–47.8 |
| Stroke among adults | 4.2% | 3.7–4.7 |
| All teeth lost among adults aged >=65 years | 18.9% | 15.7–22.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.0% | 6.4–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.4% | 77.6–83.1 |
| Visits to doctor for routine checkup within the past year among adults | 79.9% | 76.4–83.0 |
| Cholesterol screening among adults | 87.0% | 85.1–88.7 |
| Colorectal cancer screening among adults aged 45–75 years | 67.0% | 62.2–71.6 |
| Visited dentist or dental clinic in the past year among adults | 59.2% | 55.4–62.8 |
| Mammography use among women aged 50-74 years | 73.2% | 65.1–80.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.6% | 12.0–17.7 |
| Current cigarette smoking among adults | 17.6% | 14.7–20.8 |
| No leisure-time physical activity among adults | 32.2% | 26.9–37.7 |
| Short sleep duration among adults | 37.6% | 31.3–44.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.8% | 18.6–25.3 |
| Frequent mental distress among adults | 16.6% | 14.7–18.8 |
| Frequent physical distress among adults | 15.9% | 13.8–18.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.7% | 14.5–19.0 |
| Any disability among adults | 38.3% | 33.4–43.5 |
| Hearing disability among adults | 10.1% | 8.9–11.3 |
| Independent living disability among adults | 9.2% | 8.0–10.6 |
| Mobility disability among adults | 18.3% | 15.7–21.1 |
| Self-care disability among adults | 4.2% | 3.7–4.9 |
| Vision disability among adults | 5.2% | 4.6–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.0% | 15.8–22.5 |
| Food insecurity in the past 12 months among adults | 12.0% | 9.5–14.8 |
| Received food stamps in the past 12 months among adults | 9.2% | 7.2–11.5 |
| Housing insecurity in the past 12 months among adults | 10.2% | 8.4–12.3 |
| Lack of reliable transportation in the past 12 months among adults | 7.3% | 6.2–8.6 |
| Loneliness among adults | 29.4% | 24.7–34.7 |
| Utility services shut-off threat in the past 12 months among adults | 7.6% | 6.4–8.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.7% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 5.1% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 7.8% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 21.0% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 5.1% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 4.9% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 91.4% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 23.6% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 94.4% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 2.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 3.0% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 62.5% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 17.4% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 42.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $65,060 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $243,300 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | — | $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 | 78.5 yr ± 1.24 | 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 1.24 years of 78.5, 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