ZIP code
63377
in Cave, MissouriPopulation 3,501
46.17/ 100
Ranked #21,145 of 32,066 US ZIPs (bottom 34%)
Ranked #382 of 993 Missouri ZIPs (top 38%)
Ranked #174 of 234 St. Louis, MO-IL ZIPs (bottom 26%)
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.
PFAS in drinking water
7.3%
in the bottom 3.9% nationally
Lower is healthier
ST10thUS4thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›The read
By the composite health measure, Cave, Missouri (ZIP 63377) ranks in the bottom 34% nationally (21,145th) and the top 38% of Missouri (382nd).
The picture here is genuinely mixed, with readings on both sides: modeled pfas resides in the bottom 3.9% nationally, and housing-cost burden registers in the bottom 11.2% nationally. Modeled transportation noise rests in the bottom 14.4% nationally, and homeownership stands in the top 19% nationally. Childcare lies in the top 19% nationally, and modeled arsenic lands in the bottom 20% nationally. On the other side, fatal road crashes sits in the top 12.2% nationally. Recreation is at the national minimum, shared with about 35% of ZIPs. Unemployment settles in the top 19% nationally. Physicians resides at the national minimum, shared with about 38% of ZIPs.
To spell things out, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. Close by, ZIP 63379, 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 St. Louis, MO-IL metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 62%
16%
Environmental Hazard
healthier than 76%
14%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Preventive Care
healthier than 37%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 33%
8%
Disability
healthier than 29%
7%
Climate / Disaster Risk
healthier than 34%
5%
Healthcare Access
healthier than 39%
5%
Lifting this score
Social Need / SDOH
healthier than 69%
16%
Environmental Hazard
healthier than 76%
14%
About typical
Chronic Disease Burden
healthier than 49%
21%
Preventive Care
healthier than 50%
13%
Mental Health
healthier than 60%
8%
Disability
healthier than 55%
7%
Healthcare Access
healthier than 42%
5%
Holding it back
Risk Behavior
healthier than 37%
11%
Climate / Disaster Risk
healthier than 40%
5%
Lifting this score
Environmental Hazard
healthier than 99%
14%
About typical
Climate / Disaster Risk
healthier than 48%
5%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Social Need / SDOH
healthier than 36%
16%
Preventive Care
healthier than 28%
13%
Risk Behavior
healthier than 21%
11%
Mental Health
healthier than 36%
8%
Disability
healthier than 22%
7%
Healthcare Access
healthier than 30%
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
63333
Missourishares a border
Score 41.02
Closest healthier
63379
Missourishares a border
Score 49.75
Similar health profile
65459
Missouri96% similar profile
Score 44.35
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 | 31.6% | 28.0–35.2 |
| High blood pressure among adults | 38.5% | 34.2–42.8 |
| Cancer (non-skin) or melanoma among adults | 9.6% | 8.6–10.6 |
| Current asthma among adults | 10.8% | 9.5–12.2 |
| Coronary heart disease among adults | 7.9% | 7.0–8.9 |
| Chronic obstructive pulmonary disease among adults | 9.5% | 8.1–10.9 |
| Depression among adults | 24.4% | 20.8–28.1 |
| Diagnosed diabetes among adults | 13.1% | 11.2–15.1 |
| High cholesterol among adults who have ever been screened | 39.6% | 35.1–44.1 |
| Obesity among adults | 40.6% | 32.7–48.3 |
| Stroke among adults | 4.0% | 3.5–4.5 |
| All teeth lost among adults aged >=65 years | 16.8% | 13.9–20.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.6% | 7.0–10.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.2% | 75.1–81.0 |
| Visits to doctor for routine checkup within the past year among adults | 78.8% | 75.1–82.0 |
| Cholesterol screening among adults | 84.8% | 82.6–86.7 |
| Colorectal cancer screening among adults aged 45–75 years | 63.6% | 58.4–68.5 |
| Visited dentist or dental clinic in the past year among adults | 58.2% | 54.5–61.8 |
| Mammography use among women aged 50-74 years | 73.5% | 65.5–80.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.1% | 13.2–19.2 |
| Current cigarette smoking among adults | 18.7% | 15.7–21.8 |
| No leisure-time physical activity among adults | 31.0% | 26.0–36.1 |
| Short sleep duration among adults | 38.9% | 32.8–45.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.1% | 18.9–25.4 |
| Frequent mental distress among adults | 17.8% | 15.6–19.9 |
| Frequent physical distress among adults | 16.0% | 13.9–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 18.1% | 15.8–20.5 |
| Any disability among adults | 39.4% | 34.5–44.2 |
| Hearing disability among adults | 9.6% | 8.5–10.8 |
| Independent living disability among adults | 9.7% | 8.4–11.1 |
| Mobility disability among adults | 17.8% | 15.3–20.6 |
| Self-care disability among adults | 4.3% | 3.7–4.8 |
| Vision disability among adults | 5.3% | 4.6–6.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.4% | 16.5–22.7 |
| Food insecurity in the past 12 months among adults | 12.9% | 10.6–15.5 |
| Received food stamps in the past 12 months among adults | 10.3% | 8.3–12.4 |
| Housing insecurity in the past 12 months among adults | 11.2% | 9.4–13.1 |
| Lack of reliable transportation in the past 12 months among adults | 7.8% | 6.7–9.0 |
| Loneliness among adults | 30.6% | 26.2–35.5 |
| Utility services shut-off threat in the past 12 months among adults | 8.2% | 7.0–9.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.6% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 20.2% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 15.9% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 21.2% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 7.2% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 7.2% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 87.3% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 11.3% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 89.4% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 1.4% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 0.7% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 52.9% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 16.0% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 43.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $88,424 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $233,600 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $879 | $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 | 76.8 yr ± 0.88 | 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 0.88 years of 76.8, 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