ZIP code
65653
in Forsyth, MissouriPopulation 5,905
43.48/ 100
Ranked #23,930 of 32,066 US ZIPs (bottom 25%)
Ranked #514 of 993 Missouri ZIPs (bottom 48%)
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.
Hearing disability
12.0%
in the top 4.5% nationally
Lower is healthier
ST88thUS96thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Park land
30.1%
in the top 4.7% nationally
Higher is healthier
ST96thUS95thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Tree cover
75.6%
in the top 6.7% nationally
Higher is healthier
ST95thUS93rdDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Distance to an emergency room
17.9 mi
in the top 7.3% nationally
Lower is healthier
ST88thUS93rdDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Outpatient-care access
0.52 per 1,000 residents
in the top 7.4% nationally
Higher is healthier
ST94thUS93rdDefinition & source ›
The number of outpatient clinics located 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.
Full methodology ›Elder-services access
0.17 per 1,000 residents
in the top 8.6% nationally
Higher is healthier
ST89thUS91stDefinition & source ›
The number of services for older adults and people with disabilities 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.
Full methodology ›Mobility disability
22%
in the top 9.6% nationally
Lower is healthier
ST81stUS90thDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Coronary heart disease
10.1%
in the top 9.0% nationally
Lower is healthier
ST87thUS91stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›PFAS in drinking water
46.8%
in the top 16% nationally
Lower is healthier
ST96thUS84thDefinition & 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
Forsyth, Missouri (ZIP 65653) ranks in the bottom 25% nationally (23,930th) and the bottom 48% of Missouri (514th).
A balanced set of signals defines this area, not any single one: park land registers in the top 4.7% nationally, and modeled tree cover lies in the top 6.7% nationally. Outpatient is in the top 7.4% nationally, and elder services registers in the top 8.6% nationally. Modeled arsenic lies in the bottom 12.5% nationally. By contrast, modeled hearing disability is in the top 4.5% nationally, distance to an emergency room registers in the top 7.3% nationally, and modeled mobility disability lies in the top 9.6% nationally. Modeled coronary heart disease is in the top 9.0% nationally, and tooth loss registers in the top 11.3% nationally.
Against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. For context, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. The closest ZIP that ranks healthier overall is ZIP 65616, 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.
Lifting this score
Social Need / SDOH
healthier than 61%
16%
Environmental Hazard
healthier than 68%
14%
About typical
Preventive Care
healthier than 46%
13%
Mental Health
healthier than 43%
8%
Healthcare Access
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Risk Behavior
healthier than 36%
11%
Disability
healthier than 14%
7%
Climate / Disaster Risk
healthier than 39%
5%
Lifting this score
Social Need / SDOH
healthier than 67%
16%
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 66%
13%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 78%
8%
About typical
Climate / Disaster Risk
healthier than 57%
5%
Healthcare Access
healthier than 51%
5%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Disability
healthier than 24%
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 ›
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.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 67.9; chronic-disease standing 11.0 — 57 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,959 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
65616
Missourishares a border
Score 47.66
Closest healthier
65629
Missourishares a border
Score 51.88
Similar health profile
63450
Missouri98% similar profile
Score 39.52
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 | 37.5% | 33.6–41.3 |
| High blood pressure among adults | 44.3% | 39.6–48.7 |
| Cancer (non-skin) or melanoma among adults | 11.9% | 10.8–13.1 |
| Current asthma among adults | 10.8% | 9.5–12.3 |
| Coronary heart disease among adults | 10.1% | 8.9–11.2 |
| Chronic obstructive pulmonary disease among adults | 11.5% | 10.1–12.9 |
| Depression among adults | 24.0% | 20.3–27.8 |
| Diagnosed diabetes among adults | 15.3% | 13.3–17.6 |
| High cholesterol among adults who have ever been screened | 42.5% | 37.8–47.1 |
| Obesity among adults | 36.5% | 28.8–44.6 |
| Stroke among adults | 5.0% | 4.5–5.5 |
| All teeth lost among adults aged >=65 years | 22.5% | 18.7–26.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.9% | 7.4–10.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.8% | 79.2–84.2 |
| Visits to doctor for routine checkup within the past year among adults | 80.7% | 77.5–83.8 |
| Cholesterol screening among adults | 86.5% | 84.8–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 64.4% | 59.1–69.4 |
| Visited dentist or dental clinic in the past year among adults | 58.3% | 54.4–62.0 |
| Mammography use among women aged 50-74 years | 70.6% | 61.9–78.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.4% | 11.0–16.2 |
| Current cigarette smoking among adults | 18.1% | 15.5–20.8 |
| No leisure-time physical activity among adults | 33.3% | 28.2–38.6 |
| Short sleep duration among adults | 36.1% | 29.6–43.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.4% | 21.2–27.6 |
| Frequent mental distress among adults | 16.9% | 14.9–18.9 |
| Frequent physical distress among adults | 17.5% | 15.4–19.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.9% | 15.7–20.0 |
| Any disability among adults | 43.0% | 38.0–47.9 |
| Hearing disability among adults | 12.0% | 10.6–13.4 |
| Independent living disability among adults | 11.0% | 9.6–12.3 |
| Mobility disability among adults | 22.0% | 19.1–24.8 |
| Self-care disability among adults | 5.1% | 4.5–5.6 |
| Vision disability among adults | 6.3% | 5.7–7.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.7% | 15.7–22.0 |
| Food insecurity in the past 12 months among adults | 13.7% | 11.6–16.1 |
| Received food stamps in the past 12 months among adults | 11.4% | 9.6–13.4 |
| Housing insecurity in the past 12 months among adults | 10.7% | 9.0–12.4 |
| Lack of reliable transportation in the past 12 months among adults | 8.1% | 7.1–9.2 |
| Loneliness among adults | 29.4% | 24.5–34.5 |
| Utility services shut-off threat in the past 12 months among adults | 8.3% | 7.1–9.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.6% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 15.6% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 6.9% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 23.8% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 1.9% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 3.5% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 89.6% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 23.5% | 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) | 1.5% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 0.5% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 64.5% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 32.3% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 51.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $46,918 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $193,400 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $809 | $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 | 76.6 yr ± 0.62 | 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 0.62 years of 76.6, 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