ZIP code
64081
in Lee's Summit, MissouriPopulation 25,305
57.86/ 100
Ranked #6,518 of 32,066 US ZIPs (top 20%)
Ranked #55 of 993 Missouri ZIPs (top 5.6%)
Ranked #49 of 200 Kansas City, MO-KS ZIPs (top 25%)
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.
Lead in tap water
0 ppb
at the national minimum
Lower is healthier
US1stDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
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 ›Industrial-pollution burden
in the top 7.3% nationally
Lower is healthier
ST93rdUS93rdDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Food insecurity
8.2%
in the bottom 8.3% nationally
Lower is healthier
ST4thUS8thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Poverty rate
2.7%
in the bottom 8.8% nationally
Lower is healthier
ST9thUS9thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Distance to an emergency room
Under 0.1 mi
in the bottom 11.4% nationally
Lower is healthier
ST9thUS11thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Energy-cost burden
1.8%
in the bottom 9.4% nationally
Lower is healthier
ST4thUS9thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Short sleep
30.5%
in the bottom 12.0% nationally
Lower is healthier
ST3rdUS12thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Tooth loss
7.7%
in the bottom 11.5% nationally
Lower is healthier
ST3rdUS11thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Lack of transportation
5.6%
in the bottom 15% nationally
Lower is healthier
ST4thUS15thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Radon
2.6 pCi/L
in the top 18% nationally
Lower is healthier
ST95thUS82ndDefinition & 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 ›The read
On balance, and by the composite measure, ZIP 64081, one of several in Lee's Summit, Missouri ranks in the top 20% healthiest ZIPs nationally (6,518th) and the top 5.6% of Missouri (55th).
Taken together, the profile's clearest strengths surface right away: lead in tap water lands at the national minimum, and modeled food insecurity registers in the bottom 8.3% nationally. Poverty sits in the bottom 8.8% nationally, and distance to an emergency room rests in the bottom 11.4% nationally. Modeled energy burden is in the bottom 9.4% nationally, and short sleep stands in the bottom 12.0% nationally. Distance to a nursing home settles at the national minimum, shared with about 27% of ZIPs. Modeled tooth loss lies in the bottom 11.5% nationally. Against that, modeled industrial-pollution burden resides in the top 7.3% nationally, and expected annual loss lands in the top 14.3% nationally.
Compared with the ZIPs it borders, park land runs far lower than the surrounding ZIPs on this measure. In plainer terms, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. For a healthier nearby ZIP overall, look to ZIP 64082, 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
Chronic Disease Burden
healthier than 70%
21%
Social Need / SDOH
healthier than 88%
16%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 79%
11%
Disability
healthier than 70%
7%
Healthcare Access
healthier than 70%
5%
About typical
Mental Health
healthier than 54%
8%
Climate / Disaster Risk
healthier than 43%
5%
Holding it back
Environmental Hazard
healthier than 14%
14%
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 92%
16%
Preventive Care
healthier than 95%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 88%
8%
Disability
healthier than 91%
7%
Climate / Disaster Risk
healthier than 72%
5%
Healthcare Access
healthier than 77%
5%
Holding it back
Environmental Hazard
healthier than 13%
14%
Lifting this score
Chronic Disease Burden
healthier than 63%
21%
Social Need / SDOH
healthier than 76%
16%
Preventive Care
healthier than 89%
13%
Risk Behavior
healthier than 85%
11%
Mental Health
healthier than 61%
8%
Disability
healthier than 67%
7%
Climate / Disaster Risk
healthier than 73%
5%
Healthcare Access
healthier than 61%
5%
Holding it back
Environmental Hazard
healthier than 36%
14%
“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
2 of our published findings list 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.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 80.2 ± 1.5 years. The 48 nearest ZIP codes with estimates average 77.7 years — 2.5 years above them.
Ranked #1,115 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 13.7; chronic-disease standing 69.9 — 56 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,023 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
64063
Missourishares a border
Score 51.92
Closest healthier
64082
Missourishares a border
Score 60.37
Similar health profile
28732
North Carolina99% similar profile
Score 59.52
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 | 28.7% | 26.3–31.1 |
| High blood pressure among adults | 34.5% | 31.8–37.4 |
| Cancer (non-skin) or melanoma among adults | 10.2% | 9.3–11.1 |
| Current asthma among adults | 9.7% | 8.7–10.9 |
| Coronary heart disease among adults | 6.3% | 5.6–7.0 |
| Chronic obstructive pulmonary disease among adults | 6.3% | 5.5–7.1 |
| Depression among adults | 24.2% | 21.6–27.0 |
| Diagnosed diabetes among adults | 10.2% | 9.0–11.5 |
| High cholesterol among adults who have ever been screened | 40.9% | 37.8–44.0 |
| Obesity among adults | 31.5% | 28.0–35.3 |
| Stroke among adults | 3.3% | 3.0–3.6 |
| All teeth lost among adults aged >=65 years | 7.7% | 6.3–9.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.7% | 4.9–6.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.3% | 75.8–80.7 |
| Visits to doctor for routine checkup within the past year among adults | 79.5% | 77.0–81.9 |
| Cholesterol screening among adults | 88.8% | 87.5–90.1 |
| Colorectal cancer screening among adults aged 45–75 years | 68.4% | 64.7–72.0 |
| Visited dentist or dental clinic in the past year among adults | 71.1% | 68.4–73.8 |
| Mammography use among women aged 50-74 years | 78.7% | 73.4–83.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.3% | 15.0–19.7 |
| Current cigarette smoking among adults | 10.8% | 9.4–12.4 |
| No leisure-time physical activity among adults | 24.3% | 21.5–27.2 |
| Short sleep duration among adults | 30.5% | 27.1–34.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.8% | 14.0–17.7 |
| Frequent mental distress among adults | 15.6% | 14.0–17.3 |
| Frequent physical distress among adults | 12.0% | 10.7–13.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.3% | 11.8–14.8 |
| Any disability among adults | 31.7% | 28.8–34.6 |
| Hearing disability among adults | 8.1% | 7.2–9.0 |
| Independent living disability among adults | 7.3% | 6.5–8.2 |
| Mobility disability among adults | 14.0% | 12.4–15.7 |
| Self-care disability among adults | 3.0% | 2.7–3.3 |
| Vision disability among adults | 3.8% | 3.4–4.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.7% | 16.4–21.3 |
| Food insecurity in the past 12 months among adults | 8.2% | 7.0–9.5 |
| Received food stamps in the past 12 months among adults | 5.3% | 4.4–6.2 |
| Housing insecurity in the past 12 months among adults | 8.5% | 7.3–9.8 |
| Lack of reliable transportation in the past 12 months among adults | 5.6% | 4.9–6.4 |
| Loneliness among adults | 29.5% | 26.3–32.8 |
| Utility services shut-off threat in the past 12 months among adults | 6.1% | 5.3–7.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MO median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.7% | 10.6% (3.1–25.8%) n=32,364 | 12.3% (3.2–26.0%) n=1,009 |
| Uninsured 18–64 | 5.8% | 9.0% (1.5–24.3%) n=32,286 | 13.2% (3.5–28.4%) n=1,006 |
| No HS diploma (25+) | 2.2% | 7.9% (1.8–20.7%) n=32,505 | 9.5% (2.5–20.5%) n=1,009 |
| Bachelor's or higher (25+) | 52.4% | 23.3% (9.2–53.6%) n=32,505 | 18.1% (7.2–40.2%) n=1,009 |
| Unemployment rate (16+) | 2.5% | 3.9% (0.0–9.8%) n=32,274 | 2.9% (0.0–8.5%) n=1,003 |
| Households without a vehicle | 8.6% | 3.9% (0.0–12.5%) n=32,322 | 4.1% (0.0–11.9%) n=1,009 |
| Broadband subscription | 94.1% | 89.3% (75.1–97.1%) n=32,322 | 86.3% (72.7–95.2%) n=1,009 |
| Housing cost burden (≥30% income) | 29.5% | 23.7% (10.6–40.0%) n=32,322 | 20.7% (8.4–33.9%) n=1,009 |
| Homeownership rate | 71.5% | 78.7% (51.7–94.0%) n=32,322 | 79.4% (56.0–94.3%) n=1,009 |
| Crowded housing (>1 per room) | 1.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–5.1%) n=1,009 |
| Foreign-born population | 3.9% | 2.6% (0.0–18.6%) n=32,553 | 0.8% (0.0–6.4%) n=1,010 |
| Single-parent households | 56.1% | 53.6% (37.3–74.1%) n=32,087 | 55.0% (39.5–75.6%) n=1,005 |
| Population 65+ | 20.7% | 19.4% (10.8–33.6%) n=32,553 | 19.2% (11.7–31.1%) n=1,010 |
| Median age | 40.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (33.3–55.9) n=1,005 |
| Median household income | $102,119 | $72,070 ($46,039–$118,707) n=30,318 | $61,740 ($42,457–$95,231) n=948 |
| Median home value | $356,500 | $222,200 ($100,300–$579,820) n=30,049 | $174,150 ($91,880–$309,500) n=930 |
| Median gross rent | $1,627 | $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 | 80.2 yr ± 0.79 | 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 0.79 years of 80.2, 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