ZIP code
63645
in Fredericktown, MissouriPopulation 11,554
44.38/ 100
Ranked #23,042 of 32,066 US ZIPs (bottom 28%)
Ranked #460 of 993 Missouri ZIPs (top 46%)
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.
Distance to a Superfund site
In this ZIP
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Expected annual disaster loss
$0
in the top 6.3% nationally
Lower is healthier
ST94thUS94thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Tree cover
73.7%
in the top 7.4% nationally
Higher is healthier
ST94thUS93rdDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Park land
16.9%
in the top 8.1% nationally
Higher is healthier
ST93rdUS92ndDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Grocery access
0.17 per 1,000 residents
in the top 9.8% nationally
Higher is healthier
ST92ndUS90thDefinition & 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 ›Radon
2.3 pCi/L
in the top 25% nationally
Lower is healthier
ST91stUS75thDefinition & 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 ›Dry extreme heat
9.4 days/year
in the top 37% nationally
Lower is healthier
ST2ndUS63rdDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
On the composite measure, Fredericktown, Missouri (ZIP 63645) stands in the bottom 28% nationally (23,042nd) and the top 46% of Missouri (460th).
The weightiest signals in the profile are worth naming up front: distance to a Superfund site settles at the national minimum, and modeled expected annual loss rests in the top 6.3% nationally. Modeled cognitive disability lands in the top 13.5% nationally. More positively, distance to an emergency room settles at the national minimum, shared with about 11% of ZIPs. Modeled tree cover rests in the top 7.4% nationally, park land lands in the top 8.1% nationally, and grocery settles in the top 9.8% nationally. Distance to a nursing home rests at the national minimum, shared with about 27% of ZIPs. Modeled arsenic lands in the bottom 14.7% nationally, and distance to a hazardous-chemical facility settles in the top 15% nationally.
Set beside the wider area around it, expected annual loss runs far higher than the surrounding ZIPs on this measure. For clarity, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. ZIP 63670, just across the boundary, ranks better overall among the ZIPs nearby.
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
Environmental Hazard
healthier than 61%
14%
About typical
Social Need / SDOH
healthier than 43%
16%
Climate / Disaster Risk
healthier than 47%
5%
Healthcare Access
healthier than 49%
5%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Preventive Care
healthier than 35%
13%
Risk Behavior
healthier than 18%
11%
Mental Health
healthier than 22%
8%
Disability
healthier than 23%
7%
Lifting this score
Climate / Disaster Risk
healthier than 84%
5%
About typical
Chronic Disease Burden
healthier than 46%
21%
Social Need / SDOH
healthier than 49%
16%
Environmental Hazard
healthier than 52%
14%
Preventive Care
healthier than 45%
13%
Risk Behavior
healthier than 41%
11%
Disability
healthier than 41%
7%
Healthcare Access
healthier than 55%
5%
Holding it back
Mental Health
healthier than 31%
8%
“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
One of our published findings lists 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 74.6 ± 1.3 years. A median household income of $54,747 predicts 77.7 years — 3.1 years below.
Ranked #4,276 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
63620
Missourishares a border
Score 37.27
Closest healthier
63670
Missourishares a border
Score 48.05
Similar health profile
65026
Missouri99% similar profile
Score 43.23
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% | 29.0–35.7 |
| High blood pressure among adults | 38.8% | 34.7–42.8 |
| Cancer (non-skin) or melanoma among adults | 9.6% | 8.8–10.5 |
| Current asthma among adults | 10.9% | 9.7–12.3 |
| Coronary heart disease among adults | 8.1% | 7.3–8.9 |
| Chronic obstructive pulmonary disease among adults | 10.1% | 9.0–11.3 |
| Depression among adults | 25.8% | 22.2–29.5 |
| Diagnosed diabetes among adults | 13.3% | 11.6–15.1 |
| High cholesterol among adults who have ever been screened | 39.0% | 34.7–43.4 |
| Obesity among adults | 37.6% | 30.0–45.6 |
| Stroke among adults | 4.2% | 3.8–4.5 |
| All teeth lost among adults aged >=65 years | 18.8% | 15.6–22.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.6% | 8.2–11.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.6% | 75.9–81.0 |
| Visits to doctor for routine checkup within the past year among adults | 78.0% | 74.4–81.3 |
| Cholesterol screening among adults | 83.7% | 81.8–85.6 |
| Colorectal cancer screening among adults aged 45–75 years | 64.4% | 59.6–69.1 |
| Visited dentist or dental clinic in the past year among adults | 58.8% | 55.0–62.3 |
| Mammography use among women aged 50-74 years | 74.1% | 66.4–81.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.5% | 12.8–18.5 |
| Current cigarette smoking among adults | 19.3% | 16.9–22.0 |
| No leisure-time physical activity among adults | 32.3% | 27.7–37.3 |
| Short sleep duration among adults | 37.7% | 31.3–44.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.5% | 20.7–26.4 |
| Frequent mental distress among adults | 18.4% | 16.3–20.6 |
| Frequent physical distress among adults | 16.4% | 14.6–18.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.1% | 17.1–21.3 |
| Any disability among adults | 40.4% | 35.9–45.1 |
| Hearing disability among adults | 9.9% | 8.9–11.0 |
| Independent living disability among adults | 10.5% | 9.4–11.7 |
| Mobility disability among adults | 18.7% | 16.5–20.9 |
| Self-care disability among adults | 4.5% | 4.1–5.0 |
| Vision disability among adults | 5.8% | 5.2–6.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.9% | 17.1–22.9 |
| Food insecurity in the past 12 months among adults | 14.4% | 12.5–16.4 |
| Received food stamps in the past 12 months among adults | 11.6% | 10.0–13.3 |
| Housing insecurity in the past 12 months among adults | 11.8% | 10.3–13.4 |
| Lack of reliable transportation in the past 12 months among adults | 8.6% | 7.7–9.6 |
| Loneliness among adults | 31.3% | 26.8–35.9 |
| Utility services shut-off threat in the past 12 months among adults | 8.6% | 7.6–9.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.2% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 12.5% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 12.0% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 17.5% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 4.3% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 8.2% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 82.9% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 18.6% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 73.1% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 1.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 1.5% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 56.2% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 19.3% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 40.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $54,747 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $157,500 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $811 | $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 | 74.6 yr ± 0.68 | 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 0.68 years of 74.6, 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