ZIP code
64734
in Cleveland, MissouriPopulation 2,318
49.93/ 100
Ranked #16,350 of 32,066 US ZIPs (bottom 49%)
Ranked #190 of 993 Missouri ZIPs (top 19%)
Ranked #105 of 200 Kansas City, MO-KS 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.
Loud transportation noise
2.8%
in the top 4.3% nationally
Lower is healthier
ST96thUS96thDefinition & 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 ›Loneliness
27.8%
in the bottom 6.4% nationally
Lower is healthier
ST2ndUS6thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Transportation noise
10.7%
in the top 7.6% nationally
Lower is healthier
ST94thUS92ndDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Poverty rate
2.6%
in the bottom 8.5% nationally
Lower is healthier
ST9thUS8thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Dry extreme heat
27.5 days/year
in the top 17% nationally
Lower is healthier
ST93rdUS83rdDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Fine-particle (PM2.5) exceedance
0.55%
in the top 17% nationally
Lower is healthier
ST98thUS83rdDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Radon
2.6 pCi/L
in the top 18% nationally
Lower is healthier
ST94thUS82ndDefinition & 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 ›Home broadband subscription
95.3%
in the top 18% nationally
Higher is healthier
ST90thUS82ndDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›The read
Cleveland, Missouri (ZIP 64734), by its composite score, sits in the bottom 49% nationally (16,350th) and the top 19% of Missouri (190th).
The measures fall on both sides for this area, fairly evenly: modeled loneliness lies in the bottom 6.4% nationally, and poverty rests in the bottom 8.5% nationally. Pulling the other way, modeled loud transportation noise resides in the top 4.3% nationally, and transportation noise is in the top 7.6% nationally. Modeled extreme heat lands in the top 17% nationally, modeled fine-particle stands in the top 17% nationally, and lithium in drinking water registers in the top 17% nationally. Modeled industrial-pollution burden settles in the top 18% nationally, modeled radon sits in the top 18% nationally, and fatal road crashes lies in the top 18% nationally.
Next to the surrounding area, park land runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. 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 64078, 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. Compare it against the US, this state and the Kansas City, MO-KS 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 69%
16%
Preventive Care
healthier than 68%
13%
About typical
Chronic Disease Burden
healthier than 42%
21%
Risk Behavior
healthier than 43%
11%
Mental Health
healthier than 48%
8%
Disability
healthier than 49%
7%
Holding it back
Environmental Hazard
healthier than 12%
14%
Climate / Disaster Risk
healthier than 38%
5%
Healthcare Access
healthier than 38%
5%
Lifting this score
Chronic Disease Burden
healthier than 63%
21%
Social Need / SDOH
healthier than 75%
16%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 82%
11%
Mental Health
healthier than 84%
8%
Disability
healthier than 81%
7%
About typical
Climate / Disaster Risk
healthier than 55%
5%
Holding it back
Environmental Hazard
healthier than 12%
14%
Healthcare Access
healthier than 40%
5%
Lifting this score
Preventive Care
healthier than 79%
13%
About typical
Social Need / SDOH
healthier than 49%
16%
Risk Behavior
healthier than 48%
11%
Mental Health
healthier than 57%
8%
Disability
healthier than 50%
7%
Climate / Disaster Risk
healthier than 57%
5%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Environmental Hazard
healthier than 33%
14%
Healthcare Access
healthier than 16%
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
64012
Missourishares a border
Score 49.78
Closest healthier
64078
Missourishares a border
Score 52.37
Similar health profile
17254
Pennsylvania96% similar profile
Score 51.87
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 | 32.0% | 28.7–35.4 |
| High blood pressure among adults | 38.1% | 34.1–42.1 |
| Cancer (non-skin) or melanoma among adults | 10.4% | 9.3–11.4 |
| Current asthma among adults | 10.3% | 9.1–11.6 |
| Coronary heart disease among adults | 7.4% | 6.6–8.2 |
| Chronic obstructive pulmonary disease among adults | 8.4% | 7.4–9.5 |
| Depression among adults | 23.9% | 20.6–27.4 |
| Diagnosed diabetes among adults | 12.8% | 11.1–14.6 |
| High cholesterol among adults who have ever been screened | 40.3% | 36.1–44.4 |
| Obesity among adults | 38.2% | 31.8–44.7 |
| Stroke among adults | 3.7% | 3.4–4.1 |
| All teeth lost among adults aged >=65 years | 13.5% | 11.0–16.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.4% | 6.1–8.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.7% | 76.6–82.4 |
| Visits to doctor for routine checkup within the past year among adults | 79.6% | 76.2–82.6 |
| Cholesterol screening among adults | 87.0% | 85.2–88.6 |
| Colorectal cancer screening among adults aged 45–75 years | 66.8% | 62.0–71.4 |
| Visited dentist or dental clinic in the past year among adults | 63.2% | 59.7–66.7 |
| Mammography use among women aged 50-74 years | 77.3% | 70.3–83.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.8% | 12.2–17.5 |
| Current cigarette smoking among adults | 15.9% | 13.6–18.3 |
| No leisure-time physical activity among adults | 27.1% | 23.2–31.3 |
| Short sleep duration among adults | 38.5% | 33.0–44.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.3% | 16.8–21.9 |
| Frequent mental distress among adults | 16.4% | 14.5–18.4 |
| Frequent physical distress among adults | 14.3% | 12.6–16.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.7% | 13.8–17.5 |
| Any disability among adults | 33.7% | 29.6–37.7 |
| Hearing disability among adults | 8.9% | 7.9–9.9 |
| Independent living disability among adults | 8.3% | 7.3–9.3 |
| Mobility disability among adults | 15.5% | 13.6–17.6 |
| Self-care disability among adults | 3.7% | 3.3–4.1 |
| Vision disability among adults | 4.5% | 4.1–5.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.9% | 16.0–21.9 |
| Food insecurity in the past 12 months among adults | 10.4% | 8.6–12.4 |
| Received food stamps in the past 12 months among adults | 7.4% | 6.1–8.8 |
| Housing insecurity in the past 12 months among adults | 9.5% | 8.0–11.1 |
| Lack of reliable transportation in the past 12 months among adults | 6.6% | 5.7–7.5 |
| Loneliness among adults | 27.8% | 23.6–32.1 |
| Utility services shut-off threat in the past 12 months among adults | 6.8% | 5.8–7.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.6% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 12.6% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 3.7% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 27.3% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 7.1% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 1.8% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 95.3% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 23.9% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 83.0% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 3.0% | 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 | 53.7% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 18.0% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 42.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $88,274 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $393,900 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $1,116 | $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 | 79.1 yr ± 0.98 | 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 0.98 years of 79.1, 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