ZIP code
65734
in Purdy, MissouriPopulation 4,112
40.82/ 100
Ranked #26,174 of 32,066 US ZIPs (bottom 18%)
Ranked #645 of 993 Missouri ZIPs (bottom 35%)
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.
Arsenic in groundwater
1.1%
in the bottom 3.3% nationally
Lower is healthier
ST6thUS3rdDefinition & 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 ›Grocery access
0.31 per 1,000 residents
in the top 3.5% nationally
Higher is healthier
ST97thUS97thDefinition & 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 ›Loud transportation noise
2.0%
in the top 7.5% nationally
Lower is healthier
ST95thUS93rdDefinition & 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 ›Cognitive disability
20.2%
in the top 8.5% nationally
Lower is healthier
ST74thUS92ndDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Slow internet speeds
1.3%
in the top 8.7% nationally
Lower is healthier
ST90thUS91stDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Colon-cancer screening
57.6%
in the bottom 8.4% nationally
Higher is healthier
ST6thUS8thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Uninsured (under 65)
13.2%
in the top 17% nationally
Lower is healthier
ST96thUS83rdDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Loneliness
34.2%
in the top 30% nationally
Lower is healthier
ST91stUS70thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›The read
Purdy, Missouri (ZIP 65734), on the composite measure, lands in the bottom 18% nationally (26,174th) and the bottom 35% of Missouri (645th).
The readings split fairly evenly between strengths and concerns: modeled arsenic sits in the bottom 3.3% nationally, and grocery registers in the top 3.5% nationally. Outer-floodplain exposure lands at the national minimum, shared with about 36% of ZIPs. Working the other way, modeled loud transportation noise resides in the top 7.5% nationally, and cognitive disability lies in the top 8.5% nationally. Slow internet speeds settles in the top 8.7% nationally, and modeled colon screening stands in the bottom 8.4% nationally. Physicians is at the national minimum, shared with about 38% of ZIPs. Modeled mammography rests in the bottom 17% nationally, and industrial-pollution burden sits in the top 19% nationally.
In everyday language, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. 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. A healthier neighbor overall sits at ZIP 64874, 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.
About typical
Healthcare Access
healthier than 48%
5%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Social Need / SDOH
healthier than 27%
16%
Environmental Hazard
healthier than 24%
14%
Preventive Care
healthier than 12%
13%
Risk Behavior
healthier than 10%
11%
Mental Health
healthier than 26%
8%
Disability
healthier than 19%
7%
Climate / Disaster Risk
healthier than 35%
5%
Nothing measured is lifting this score.
About typical
Chronic Disease Burden
healthier than 57%
21%
Climate / Disaster Risk
healthier than 44%
5%
Healthcare Access
healthier than 55%
5%
Holding it back
Social Need / SDOH
healthier than 27%
16%
Environmental Hazard
healthier than 19%
14%
Preventive Care
healthier than 6%
13%
Risk Behavior
healthier than 22%
11%
Mental Health
healthier than 39%
8%
Disability
healthier than 33%
7%
“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
64842
Missourishares a border
Score 39.38
Closest healthier
64874
Missourishares a border
Score 42.78
Similar health profile
61602
Illinois99% similar profile
Score 28.13
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 | 30.7% | 27.5–34.2 |
| High blood pressure among adults | 37.3% | 33.2–41.5 |
| Cancer (non-skin) or melanoma among adults | 8.3% | 7.5–9.2 |
| Current asthma among adults | 10.8% | 9.6–12.2 |
| Coronary heart disease among adults | 7.8% | 7.0–8.7 |
| Chronic obstructive pulmonary disease among adults | 9.9% | 8.7–11.2 |
| Depression among adults | 24.6% | 21.1–28.4 |
| Diagnosed diabetes among adults | 13.6% | 11.8–15.5 |
| High cholesterol among adults who have ever been screened | 38.5% | 34.2–43.0 |
| Obesity among adults | 37.5% | 30.0–45.5 |
| Stroke among adults | 4.1% | 3.7–4.5 |
| All teeth lost among adults aged >=65 years | 19.0% | 15.6–22.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 13.2% | 11.2–15.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.2% | 74.3–80.0 |
| Visits to doctor for routine checkup within the past year among adults | 76.6% | 73.0–80.2 |
| Cholesterol screening among adults | 82.3% | 80.1–84.4 |
| Colorectal cancer screening among adults aged 45–75 years | 57.6% | 52.1–63.0 |
| Visited dentist or dental clinic in the past year among adults | 52.6% | 48.7–56.6 |
| Mammography use among women aged 50-74 years | 70.7% | 61.8–78.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.0% | 13.2–19.1 |
| Current cigarette smoking among adults | 19.8% | 16.9–22.7 |
| No leisure-time physical activity among adults | 35.4% | 30.1–40.7 |
| Short sleep duration among adults | 37.9% | 31.1–45.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 25.6% | 22.2–28.9 |
| Frequent mental distress among adults | 18.7% | 16.6–20.9 |
| Frequent physical distress among adults | 17.0% | 14.8–19.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 20.2% | 17.9–22.6 |
| Any disability among adults | 40.9% | 36.0–45.8 |
| Hearing disability among adults | 9.6% | 8.5–10.7 |
| Independent living disability among adults | 10.9% | 9.7–12.2 |
| Mobility disability among adults | 18.7% | 16.3–21.3 |
| Self-care disability among adults | 4.9% | 4.4–5.5 |
| Vision disability among adults | 6.5% | 5.9–7.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.5% | 18.1–25.1 |
| Food insecurity in the past 12 months among adults | 18.2% | 15.6–21.0 |
| Received food stamps in the past 12 months among adults | 13.8% | 11.7–16.0 |
| Housing insecurity in the past 12 months among adults | 14.7% | 12.7–16.9 |
| Lack of reliable transportation in the past 12 months among adults | 10.2% | 9.0–11.6 |
| Loneliness among adults | 34.2% | 28.9–39.4 |
| Utility services shut-off threat in the past 12 months among adults | 10.2% | 8.8–11.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 14.3% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 18.7% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 14.8% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 13.9% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 5.8% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 5.7% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 86.9% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 21.2% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 77.1% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 0.4% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 5.7% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 49.1% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 13.5% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 31.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $56,744 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $197,200 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $721 | $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 | 78.3 yr ± 0.73 | 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 0.73 years of 78.3, 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