ZIP code
63474
in Wyaconda, MissouriPopulation 444
43.32/ 100
Ranked #24,085 of 32,066 US ZIPs (bottom 25%)
Ranked #528 of 993 Missouri ZIPs (bottom 47%)
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.
Transportation noise
26.7%
in the top 1.5% nationally
Lower is healthier
ST98thUS99thDefinition & 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 ›Home broadband subscription
51.9%
in the bottom 1.7% nationally
Higher is healthier
ST2ndUS2ndDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Loud transportation noise
3.5%
in the top 2.9% nationally
Lower is healthier
ST98thUS97thDefinition & 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 ›Fiber broadband
98.8%
in the top 5.2% nationally
Higher is healthier
ST97thUS95thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Housing-cost burden
9.9%
in the bottom 9.3% nationally
Lower is healthier
ST13thUS9thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Arsenic in groundwater
1.3%
in the bottom 9.4% nationally
Lower is healthier
ST27thUS9thDefinition & 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 ›Distance to a community health center
10.7 mi
in the top 19% nationally
Lower is healthier
ST92ndUS81stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Air-toxics cancer risk
20 per million
in the bottom 25% nationally
Lower is healthier
ST1stUS25thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›The read
By the composite measure, Wyaconda, Missouri (ZIP 63474) sits in the bottom 25% nationally (24,085th) and the bottom 47% of Missouri (528th).
Where this area is stretched, the data is unambiguous: modeled transportation noise lies in the top 1.5% nationally, home broadband subscription settles in the bottom 1.7% nationally, and modeled loud transportation noise stands in the top 2.9% nationally. Distance to a hazardous-chemical facility is at the national minimum, shared with about 31% of ZIPs. Modeled cognitive disability rests in the top 17% nationally, and distance to a community health center sits in the top 19% nationally. Better still, fiber broadband registers in the top 5.2% nationally, and housing-cost burden lands in the bottom 9.3% nationally. Modeled arsenic resides in the bottom 9.4% nationally, and expected annual loss lies in the bottom 20% nationally.
Compared with the ZIPs that surround it, transportation noise runs far higher than the surrounding ZIPs on this measure. In plain language, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. 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. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. ZIP 63453, 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.
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
Environmental Hazard
healthier than 42%
14%
Holding it back
Chronic Disease Burden
healthier than 36%
21%
Social Need / SDOH
healthier than 27%
16%
Preventive Care
healthier than 32%
13%
Risk Behavior
healthier than 13%
11%
Mental Health
healthier than 23%
8%
Disability
healthier than 30%
7%
Climate / Disaster Risk
healthier than 38%
5%
Healthcare Access
healthier than 16%
5%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 54%
21%
Disability
healthier than 56%
7%
Climate / Disaster Risk
healthier than 53%
5%
Holding it back
Social Need / SDOH
healthier than 27%
16%
Environmental Hazard
healthier than 31%
14%
Preventive Care
healthier than 39%
13%
Risk Behavior
healthier than 28%
11%
Mental Health
healthier than 35%
8%
Healthcare Access
healthier than 8%
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
63432
Missourishares a border
Score 42.60
Closest healthier
63453
Missourishares a border
Score 45.69
Similar health profile
64499
Missouri97% similar profile
Score 41.91
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 | 31.6% | 28.1–35.2 |
| High blood pressure among adults | 37.6% | 33.4–41.9 |
| Cancer (non-skin) or melanoma among adults | 9.7% | 8.7–10.6 |
| Current asthma among adults | 10.8% | 9.5–12.1 |
| Coronary heart disease among adults | 7.7% | 6.9–8.7 |
| Chronic obstructive pulmonary disease among adults | 9.6% | 8.2–11.0 |
| Depression among adults | 25.5% | 21.9–29.4 |
| Diagnosed diabetes among adults | 12.2% | 10.5–14.0 |
| High cholesterol among adults who have ever been screened | 38.9% | 34.5–43.2 |
| Obesity among adults | 39.2% | 31.1–47.6 |
| Stroke among adults | 3.9% | 3.5–4.4 |
| All teeth lost among adults aged >=65 years | 18.4% | 15.1–22.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.2% | 7.3–11.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.7% | 74.9–80.3 |
| Visits to doctor for routine checkup within the past year among adults | 77.8% | 74.0–81.1 |
| Cholesterol screening among adults | 83.5% | 81.1–85.7 |
| Colorectal cancer screening among adults aged 45–75 years | 65.5% | 59.9–70.6 |
| Visited dentist or dental clinic in the past year among adults | 57.0% | 53.1–60.8 |
| Mammography use among women aged 50-74 years | 72.9% | 64.4–80.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.4% | 13.5–19.6 |
| Current cigarette smoking among adults | 18.7% | 15.9–21.8 |
| No leisure-time physical activity among adults | 31.6% | 26.5–37.2 |
| Short sleep duration among adults | 39.7% | 32.5–46.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.2% | 19.2–25.7 |
| Frequent mental distress among adults | 18.4% | 16.3–20.7 |
| Frequent physical distress among adults | 15.7% | 13.7–17.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.5% | 16.3–20.9 |
| Any disability among adults | 38.9% | 34.0–44.1 |
| Hearing disability among adults | 9.6% | 8.5–10.7 |
| Independent living disability among adults | 9.9% | 8.6–11.2 |
| Mobility disability among adults | 17.3% | 14.8–19.9 |
| Self-care disability among adults | 4.0% | 3.5–4.6 |
| Vision disability among adults | 5.2% | 4.6–5.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.9% | 16.6–23.4 |
| Food insecurity in the past 12 months among adults | 13.2% | 10.8–16.0 |
| Received food stamps in the past 12 months among adults | 10.5% | 8.5–12.9 |
| Housing insecurity in the past 12 months among adults | 11.1% | 9.3–13.2 |
| Lack of reliable transportation in the past 12 months among adults | 7.9% | 6.8–9.2 |
| Loneliness among adults | 31.3% | 26.4–36.6 |
| Utility services shut-off threat in the past 12 months among adults | 8.1% | 6.9–9.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.1% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 12.7% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 12.9% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 9.4% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 2.8% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 5.6% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 51.9% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 9.9% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 67.3% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 3.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 65.4% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 18.5% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 34.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $51,000 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $68,400 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $575 | $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 | 82.1 yr ± 2.12 | 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 2.12 years of 82.1, 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