ZIP code
64728
in Bronaugh, MissouriPopulation 445
44.70/ 100
Ranked #22,719 of 32,066 US ZIPs (bottom 29%)
Ranked #444 of 993 Missouri ZIPs (top 45%)
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.
Lithium in drinking water
86 µg/L
in the top 4.1% nationally
Lower is healthier
ST97thUS96thDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›PFAS in drinking water
7.6%
in the bottom 4.4% nationally
Lower is healthier
ST11thUS4thDefinition & 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
Bronaugh, Missouri (ZIP 64728), by its composite score, sits in the bottom 29% nationally (22,719th) and the top 45% of Missouri (444th).
The data opens on a genuinely even set of readings: modeled pfas lands in the bottom 4.4% nationally, and industrial-pollution burden stands in the bottom 11.0% nationally. Crowded housing registers at the national minimum, shared with about 29% of ZIPs. Homeownership settles in the top 22% nationally. On the other side, lithium in drinking water sits in the top 4.1% nationally, modeled extreme heat lies in the top 18% nationally, and floodplain exposure rests in the top 20% nationally. Distance to a nursing home resides in the top 22% nationally, home broadband subscription is in the bottom 23% nationally, and modeled cognitive disability lands in the top 22% nationally.
For anyone unfamiliar, lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. 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. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. For a healthier comparison close by, see ZIP 64741, 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.
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Social Need / SDOH
healthier than 25%
16%
Environmental Hazard
healthier than 39%
14%
Preventive Care
healthier than 36%
13%
Risk Behavior
healthier than 30%
11%
Mental Health
healthier than 30%
8%
Disability
healthier than 33%
7%
Climate / Disaster Risk
healthier than 23%
5%
Healthcare Access
healthier than 29%
5%
Lifting this score
Risk Behavior
healthier than 68%
11%
Disability
healthier than 61%
7%
About typical
Chronic Disease Burden
healthier than 56%
21%
Preventive Care
healthier than 47%
13%
Mental Health
healthier than 52%
8%
Holding it back
Social Need / SDOH
healthier than 25%
16%
Environmental Hazard
healthier than 29%
14%
Climate / Disaster Risk
healthier than 16%
5%
Healthcare Access
healthier than 28%
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
64741
Missourishares a border
Score 48.68
Closest healthier
64771
Missourishares a border
Score 45.35
Similar health profile
42463
Kentucky99% similar profile
Score 35.88
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 | 32.1% | 28.6–35.9 |
| High blood pressure among adults | 38.4% | 34.2–43.0 |
| Cancer (non-skin) or melanoma among adults | 9.8% | 8.8–10.8 |
| Current asthma among adults | 10.8% | 9.5–12.3 |
| Coronary heart disease among adults | 7.9% | 7.0–8.9 |
| Chronic obstructive pulmonary disease among adults | 9.3% | 8.1–10.7 |
| Depression among adults | 25.4% | 21.7–29.6 |
| Diagnosed diabetes among adults | 12.8% | 11.1–14.8 |
| High cholesterol among adults who have ever been screened | 40.3% | 35.8–45.1 |
| Obesity among adults | 35.6% | 27.8–44.2 |
| Stroke among adults | 4.0% | 3.6–4.4 |
| All teeth lost among adults aged >=65 years | 15.7% | 12.9–19.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.6% | 7.0–10.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.0% | 76.0–81.7 |
| Visits to doctor for routine checkup within the past year among adults | 79.1% | 75.2–82.4 |
| Cholesterol screening among adults | 84.8% | 82.8–86.8 |
| Colorectal cancer screening among adults aged 45–75 years | 63.3% | 58.1–68.8 |
| Visited dentist or dental clinic in the past year among adults | 59.2% | 55.4–63.2 |
| Mammography use among women aged 50-74 years | 71.6% | 63.2–79.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.1% | 13.1–19.4 |
| Current cigarette smoking among adults | 17.2% | 14.7–20.1 |
| No leisure-time physical activity among adults | 29.8% | 25.1–35.1 |
| Short sleep duration among adults | 36.6% | 30.0–44.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.6% | 18.8–24.8 |
| Frequent mental distress among adults | 17.5% | 15.4–19.8 |
| Frequent physical distress among adults | 15.5% | 13.6–17.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.7% | 15.6–20.1 |
| Any disability among adults | 38.5% | 33.8–43.5 |
| Hearing disability among adults | 9.5% | 8.5–10.7 |
| Independent living disability among adults | 9.4% | 8.3–10.7 |
| Mobility disability among adults | 17.2% | 15.0–19.8 |
| Self-care disability among adults | 4.1% | 3.6–4.7 |
| Vision disability among adults | 5.2% | 4.7–5.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.4% | 16.3–23.0 |
| Food insecurity in the past 12 months among adults | 12.6% | 10.4–15.2 |
| Received food stamps in the past 12 months among adults | 9.7% | 7.9–11.8 |
| Housing insecurity in the past 12 months among adults | 10.6% | 8.9–12.6 |
| Lack of reliable transportation in the past 12 months among adults | 7.8% | 6.8–9.0 |
| Loneliness among adults | 30.9% | 26.0–36.4 |
| Utility services shut-off threat in the past 12 months among adults | 7.8% | 6.6–9.1 |
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 | 18.8% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 10.7% | 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+) | 6.3% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 4.3% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 82.6% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 19.3% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 88.2% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 1.3% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 52.3% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 24.0% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 41.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $67,188 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $125,000 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $900 | $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 | 78.4 yr ± 1.84 | 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 1.84 years of 78.4, 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