ZIP code
66217
in Shawnee, KansasPopulation 5,468
65.62/ 100
Ranked #1,769 of 32,066 US ZIPs (top 5.6%)
Ranked #18 of 682 Kansas ZIPs (top 2.7%)
Ranked #19 of 200 Kansas City, MO-KS ZIPs (top 9.5%)
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.
Loneliness
26.8%
in the bottom 2.5% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Dental provider access
1.5 per 1,000 residents
in the top 2.6% nationally
Higher is healthier
ST99thUS97thDefinition & source ›
The number of dental offices 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 ›Industrial-pollution burden
in the top 3.1% nationally
Lower is healthier
ST96thUS97thDefinition & 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 ›Lack of transportation
4.4%
in the bottom 3.2% nationally
Lower is healthier
ST2ndUS3rdDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Food insecurity
6.9%
in the bottom 3.3% nationally
Lower is healthier
ST2ndUS3rdDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Distance to a Superfund site
0.3 mi
in the bottom 4.8% nationally
Higher is healthier
ST2ndUS5thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Recreation access
1.3 per 1,000 residents
in the top 4.9% nationally
Higher is healthier
ST97thUS95thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›PFAS in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents served by public water systems where PFAS — man-made “forever chemicals” that build up in the body and environment instead of breaking down — were detected in EPA testing.
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 ›Short sleep
29%
in the bottom 5.8% nationally
Lower is healthier
ST1stUS6thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Housing insecurity
6.9%
in the bottom 6.7% nationally
Lower is healthier
ST3rdUS7thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›The read
By its overall health score, ZIP 66217, one of several in Shawnee, Kansas lands in the top 5.6% healthiest ZIPs nationally (1,769th) and the top 2.7% of Kansas (18th).
Neither strongly one way nor the other, the measures sit mixed: modeled loneliness sits in the bottom 2.5% nationally, and dental providers rests in the top 2.6% nationally. Modeled transportation is in the bottom 3.2% nationally, and food insecurity stands in the bottom 3.3% nationally. Recreation settles in the top 4.9% nationally, modeled short sleep lies in the bottom 5.8% nationally, and modeled housing insecurity resides in the bottom 6.7% nationally. Against that, modeled industrial-pollution burden lands in the top 3.1% nationally, distance to a Superfund site registers in the bottom 4.8% nationally, and PFAS in drinking water sits at the national maximum.
Weighed against the ZIPs nearby, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. PFAS in drinking water is the family of man-made "forever chemicals" that build up in the body and environment instead of breaking down. Overall, the nearest healthier neighbor is ZIP 66218, 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 73%
21%
Social Need / SDOH
in the top 0.9%
16%
Preventive Care
healthier than 95%
13%
Risk Behavior
healthier than 95%
11%
Mental Health
healthier than 96%
8%
Disability
healthier than 89%
7%
Healthcare Access
healthier than 62%
5%
Holding it back
Environmental Hazard
healthier than 7%
14%
Climate / Disaster Risk
healthier than 37%
5%
Lifting this score
Chronic Disease Burden
healthier than 83%
21%
Social Need / SDOH
in the top 0.7%
16%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 99%
11%
Mental Health
healthier than 98%
8%
Disability
healthier than 93%
7%
Climate / Disaster Risk
healthier than 84%
5%
Healthcare Access
healthier than 75%
5%
Holding it back
Environmental Hazard
healthier than 6%
14%
Lifting this score
Chronic Disease Burden
healthier than 66%
21%
Social Need / SDOH
healthier than 98%
16%
Preventive Care
healthier than 97%
13%
Risk Behavior
healthier than 96%
11%
Mental Health
healthier than 95%
8%
Disability
healthier than 84%
7%
About typical
Climate / Disaster Risk
healthier than 54%
5%
Healthcare Access
healthier than 46%
5%
Holding it back
Environmental Hazard
healthier than 23%
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
3 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 what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 82.9 ± 1.9 years. A median household income of $93,651 predicts 79.8 years — 3.1 years above.
Ranked #401 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Above its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 82.9 ± 1.9 years. The 44 nearest ZIP codes with estimates average 79.1 years — 3.9 years above them.
Ranked #407 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 6.9 (bottom 10%); chronic-disease standing 73.2 — 66 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,050 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
66215
Kansasshares a border
Score 62.42
Closest healthier
66218
Kansasshares a border
Score 67.84
Similar health profile
63124
Missouri99% similar profile
Score 66.62
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 | 26.6% | 24.5–28.9 |
| High blood pressure among adults | 35.9% | 33.5–38.5 |
| Cancer (non-skin) or melanoma among adults | 10.4% | 9.5–11.3 |
| Current asthma among adults | 9.6% | 8.6–10.7 |
| Coronary heart disease among adults | 6.1% | 5.5–6.8 |
| Chronic obstructive pulmonary disease among adults | 5.1% | 4.5–5.9 |
| Depression among adults | 18.0% | 16.0–20.1 |
| Diagnosed diabetes among adults | 10.6% | 9.5–12.0 |
| High cholesterol among adults who have ever been screened | 40.9% | 38.3–43.6 |
| Obesity among adults | 30.9% | 27.8–34.2 |
| Stroke among adults | 2.9% | 2.7–3.2 |
| All teeth lost among adults aged >=65 years | 8.7% | 7.1–10.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.7% | 4.7–6.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.8% | 78.7–82.8 |
| Visits to doctor for routine checkup within the past year among adults | 81.7% | 79.7–83.7 |
| Cholesterol screening among adults | 89.8% | 88.5–91.0 |
| Colorectal cancer screening among adults aged 45–75 years | 72.7% | 69.5–75.6 |
| Visited dentist or dental clinic in the past year among adults | 75.5% | 73.3–77.6 |
| Mammography use among women aged 50-74 years | 79.0% | 74.1–83.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.4% | 13.6–17.4 |
| Current cigarette smoking among adults | 8.8% | 7.5–10.3 |
| No leisure-time physical activity among adults | 19.5% | 17.2–22.1 |
| Short sleep duration among adults | 29.0% | 26.1–31.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.6% | 11.0–14.3 |
| Frequent mental distress among adults | 12.4% | 11.0–13.8 |
| Frequent physical distress among adults | 10.0% | 8.9–11.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.5% | 9.3–11.9 |
| Any disability among adults | 25.9% | 23.3–28.7 |
| Hearing disability among adults | 7.1% | 6.4–7.9 |
| Independent living disability among adults | 5.7% | 5.0–6.5 |
| Mobility disability among adults | 11.1% | 9.8–12.6 |
| Self-care disability among adults | 2.6% | 2.3–2.9 |
| Vision disability among adults | 3.2% | 2.9–3.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 15.9% | 14.0–18.0 |
| Food insecurity in the past 12 months among adults | 6.9% | 5.8–8.2 |
| Received food stamps in the past 12 months among adults | 3.5% | 2.9–4.3 |
| Housing insecurity in the past 12 months among adults | 6.9% | 5.9–8.1 |
| Lack of reliable transportation in the past 12 months among adults | 4.4% | 3.9–5.1 |
| Loneliness among adults | 26.8% | 24.2–29.7 |
| Utility services shut-off threat in the past 12 months among adults | 5.1% | 4.4–5.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.2% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 10.3% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 2.3% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 60.0% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 1.1% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 10.9% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 97.0% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 30.2% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 53.3% | 78.7% (51.7–94.0%) n=32,322 | 79.7% (59.7–94.6%) n=688 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.6%) n=688 |
| Foreign-born population | 3.8% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 65.3% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 29.7% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 51.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $93,651 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $456,400 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | $1,379 | $1,021 ($677–$1,912) n=25,670 | $820 ($592–$1,257) n=519 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 82.9 yr ± 0.95 | 78.9 yr (74.7–82.8) n=31,308 | 78.9 yr (76.2–81.8) n=687 |
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 0.95 years of 82.9, 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