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ZipVitals

ZIP code

63953

in Naylor, MissouriPopulation 787

34.84/ 100

Ranked #29,451 of 32,066 US ZIPs (bottom 8.2%)

Ranked #869 of 993 Missouri ZIPs (bottom 12.5%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Poverty rate

35.7%

in the top 4.2% nationally

Lower is healthier

ST96th
US96th
Definition & source ›

The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.

Full methodology ›

Floodplain exposure

47.7%

in the top 4.4% nationally

Lower is healthier

ST96th
US96th
Definition & source ›

The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.

Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.

Full methodology ›

Cognitive disability

21%

in the top 6.0% nationally

Lower is healthier

ST83rd
US94th
Definition & source ›

The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.

Full methodology ›

Home broadband subscription

71.4%

in the bottom 7.0% nationally

Higher is healthier

ST9th
US7th
Definition & source ›

The share of households with a broadband internet subscription.

Full methodology ›

Median household income

$32,895

in the bottom 2.7% nationally

Higher is healthier

ST2nd
US3rd
Definition & source ›

The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.

Full methodology ›

Outer-floodplain exposure

3.7%

in the top 9.5% nationally

Lower is healthier

ST96th
US91st
Definition & source ›

The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.

Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.

Full methodology ›

Households without a vehicle

12.9%

in the top 9.6% nationally

Lower is healthier

ST91st
US90th
Definition & source ›

The share of households with no vehicle available.

Full methodology ›

Dry extreme heat

30.2 days/year

in the top 15% nationally

Lower is healthier

ST99th
US85th
Definition & source ›

The average number of days per year with a modeled daily high of at least 95 °F.

Full methodology ›

Humid extreme heat

101.9 days/year

in the top 22% nationally

Lower is healthier

ST98th
US78th
Definition & source ›

The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.

Full methodology ›

Radon

1.1 pCi/L

in the bottom 29% nationally

Lower is healthier

ST4th
US29th
Definition & 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 ›

Cross-source signals

Combined exposures in this ZIP

More than one environmental exposure stands out in this ZIP. Each is established independently and shown on its own above; they are grouped here for context — not because one causes the other.

The read

Overall, Naylor, Missouri (ZIP 63953) places in the bottom 8.2% nationally (29,451st) and the bottom 12.5% of Missouri (869th).

continue reading

The measures fall on both sides for this area, fairly evenly: modeled loud transportation noise settles at the national minimum, shared with about 22% of ZIPs. Pulling the other way, poverty sits in the top 4.2% nationally, and floodplain exposure lies in the top 4.4% nationally. Modeled cognitive disability rests in the top 6.0% nationally, home broadband subscription resides in the bottom 7.0% nationally, and household income is in the bottom 2.7% nationally. Outer-floodplain exposure lands in the top 9.5% nationally, households without a vehicle stands in the top 9.6% nationally, and modeled independent living disability registers in the top 10.3% nationally. Slow internet speeds settles in the top 10.9% nationally.

Beside the areas that surround it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. Among nearby ZIPs, the nearest healthier one overall is ZIP 63939, 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.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Nothing measured is lifting this score.

About typical

Environmental Hazard

healthier than 53%

14%

Healthcare Access

healthier than 53%

5%

Holding it back

Chronic Disease Burden

healthier than 16%

21%

Social Need / SDOH

healthier than 12%

16%

Preventive Care

healthier than 21%

13%

Risk Behavior

healthier than 8%

11%

Mental Health

healthier than 12%

8%

Disability

healthier than 10%

7%

Climate / Disaster Risk

healthier than 4%

5%

Nothing measured is lifting this score.

About typical

Environmental Hazard

healthier than 42%

14%

Healthcare Access

healthier than 59%

5%

Holding it back

Chronic Disease Burden

healthier than 20%

21%

Social Need / SDOH

healthier than 9%

16%

Preventive Care

healthier than 17%

13%

Risk Behavior

healthier than 16%

11%

Mental Health

healthier than 10%

8%

Disability

healthier than 16%

7%

Climate / Disaster Risk

healthier than 2%

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.

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
MeasureCrude prevalence95% CI
Arthritis among adults34.3%31.1–37.6
High blood pressure among adults40.8%36.9–44.8
Cancer (non-skin) or melanoma among adults9.5%8.7–10.4
Current asthma among adults11.5%10.3–12.9
Coronary heart disease among adults8.9%8.1–9.8
Chronic obstructive pulmonary disease among adults11.8%10.6–13.2
Depression among adults26.9%23.5–30.8
Diagnosed diabetes among adults14.8%13.1–16.7
High cholesterol among adults who have ever been screened40.4%36.5–44.7
Obesity among adults40.5%33.3–48.2
Stroke among adults4.8%4.4–5.2
All teeth lost among adults aged >=65 years22.1%17.8–26.3
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years10.3%8.8–12.2
Taking medicine to control high blood pressure among adults with high blood pressure78.6%76.0–81.1
Visits to doctor for routine checkup within the past year among adults78.8%75.6–81.9
Cholesterol screening among adults82.9%80.9–84.9
Colorectal cancer screening among adults aged 45–75 years61.1%54.8–66.4
Visited dentist or dental clinic in the past year among adults52.8%48.4–56.6
Mammography use among women aged 50-74 years70.4%60.9–78.2
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults15.2%12.7–17.9
Current cigarette smoking among adults21.7%19.2–24.7
No leisure-time physical activity among adults35.9%31.3–40.9
Short sleep duration among adults38.4%31.1–45.4
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults26.9%24.1–30.3
Frequent mental distress among adults19.7%17.8–21.9
Frequent physical distress among adults18.0%16.1–20.1
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults21.0%19.0–23.5
Any disability among adults44.0%39.6–48.6
Hearing disability among adults10.7%9.7–11.9
Independent living disability among adults12.2%11.0–13.6
Mobility disability among adults21.4%19.1–23.9
Self-care disability among adults5.5%5.0–6.1
Vision disability among adults6.9%6.2–7.6
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults20.8%17.9–24.1
Food insecurity in the past 12 months among adults17.5%15.1–20.3
Received food stamps in the past 12 months among adults15.4%13.3–17.8
Housing insecurity in the past 12 months among adults13.7%12.0–15.7
Lack of reliable transportation in the past 12 months among adults10.2%9.1–11.6
Loneliness among adults32.2%27.7–37.3
Utility services shut-off threat in the past 12 months among adults10.6%9.4–12.0
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MO median (p10–p90)
Poverty rate35.7%10.6% (3.1–25.8%) n=32,36412.3% (3.2–26.0%) n=1,009
Uninsured 18–6418.3%9.0% (1.5–24.3%) n=32,28613.2% (3.5–28.4%) n=1,006
No HS diploma (25+)12.6%7.9% (1.8–20.7%) n=32,5059.5% (2.5–20.5%) n=1,009
Bachelor's or higher (25+)9.7%23.3% (9.2–53.6%) n=32,50518.1% (7.2–40.2%) n=1,009
Unemployment rate (16+)0.9%3.9% (0.0–9.8%) n=32,2742.9% (0.0–8.5%) n=1,003
Households without a vehicle12.9%3.9% (0.0–12.5%) n=32,3224.1% (0.0–11.9%) n=1,009
Broadband subscription71.4%89.3% (75.1–97.1%) n=32,32286.3% (72.7–95.2%) n=1,009
Housing cost burden (≥30% income)31.4%23.7% (10.6–40.0%) n=32,32220.7% (8.4–33.9%) n=1,009
Homeownership rate75.1%78.7% (51.7–94.0%) n=32,32279.4% (56.0–94.3%) n=1,009
Crowded housing (>1 per room)4.3%1.3% (0.0–6.3%) n=32,3221.1% (0.0–5.1%) n=1,009
Foreign-born population0.0%2.6% (0.0–18.6%) n=32,5530.8% (0.0–6.4%) n=1,010
Single-parent households61.8%53.6% (37.3–74.1%) n=32,08755.0% (39.5–75.6%) n=1,005
Population 65+20.8%19.4% (10.8–33.6%) n=32,55319.2% (11.7–31.1%) n=1,010
Median age50.4 yr42.2 yr (33.0–56.3) n=32,29241.5 yr (33.3–55.9) n=1,005
Median household income$32,895$72,070 ($46,039–$118,707) n=30,318$61,740 ($42,457–$95,231) n=948
Median home value$88,400$222,200 ($100,300–$579,820) n=30,049$174,150 ($91,880–$309,500) n=930
Median gross rent$630$1,021 ($677–$1,912) n=25,670$813 ($553–$1,265) n=786
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)MO median (p10–p90)
Life expectancy at birth75.2 yr ± 0.6878.9 yr (74.7–82.8) n=31,30877.6 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 75.2, and it’s very unlikely to be off by more than twice that.

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