ZIP code
66724
in Cherokee, KansasPopulation 935
44.07/ 100
Ranked #23,346 of 32,066 US ZIPs (bottom 27%)
Ranked #598 of 682 Kansas ZIPs (bottom 12.4%)
Ranked #12 of 31 Joplin, MO-KS ZIPs (top 39%)
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.
Outpatient-care access
1.1 per 1,000 residents
in the top 1.6% nationally
Higher is healthier
ST98thUS98thDefinition & 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 ›Fiber broadband
99.2%
in the top 4.4% nationally
Higher is healthier
ST88thUS96thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Distance to a Superfund site
1.5 mi
in the bottom 9.0% nationally
Higher is healthier
ST4thUS9thDefinition & 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 ›Fine-particle (PM2.5) exceedance
0.96%
in the top 9.7% nationally
Lower is healthier
ST97thUS90thDefinition & 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 ›Households without a vehicle
11.5%
in the top 11.8% nationally
Lower is healthier
ST96thUS88thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Crowded housing
5.2%
in the top 13.1% nationally
Lower is healthier
ST92ndUS87thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Energy-cost burden
4.8%
in the top 11.1% nationally
Lower is healthier
ST91stUS89thDefinition & 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 ›Humid extreme heat
89.5 days/year
in the top 28% nationally
Lower is healthier
ST98thUS72ndDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›The read
Cherokee, Kansas (ZIP 66724), in overall standing, comes out in the bottom 27% nationally (23,346th) and the bottom 12.4% of Kansas (598th).
A balanced showing across the data, with a few readings each side: outpatient settles in the top 1.6% nationally, and fiber broadband lands in the top 4.4% nationally. Distance to a community health center rests at the national minimum, shared with about 23% of ZIPs. Physicians settles in the top 17% nationally. On the other hand, distance to a Superfund site lands in the bottom 9.0% nationally, and modeled fine-particle rests in the top 9.7% nationally. Households without a vehicle settles in the top 11.8% nationally, and crowded housing lands in the top 13.1% nationally. Modeled energy burden rests in the top 11.1% nationally, and extreme heat settles in the top 16% nationally.
Defined simply, for reference, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. The closest healthier ZIP overall is ZIP 66743, 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 Joplin, MO-KS metro area.
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
Mental Health
healthier than 54%
8%
Healthcare Access
healthier than 54%
5%
Holding it back
Chronic Disease Burden
healthier than 25%
21%
Social Need / SDOH
healthier than 19%
16%
Environmental Hazard
healthier than 24%
14%
Preventive Care
healthier than 37%
13%
Risk Behavior
healthier than 34%
11%
Disability
healthier than 29%
7%
Climate / Disaster Risk
healthier than 23%
5%
Lifting this score
Healthcare Access
healthier than 72%
5%
Holding it back
Chronic Disease Burden
healthier than 13%
21%
Social Need / SDOH
healthier than 12%
16%
Environmental Hazard
healthier than 23%
14%
Preventive Care
healthier than 35%
13%
Risk Behavior
healthier than 17%
11%
Mental Health
healthier than 22%
8%
Disability
healthier than 14%
7%
Climate / Disaster Risk
healthier than 36%
5%
Lifting this score
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 83%
11%
Mental Health
healthier than 97%
8%
Healthcare Access
healthier than 60%
5%
About typical
Disability
healthier than 57%
7%
Holding it back
Chronic Disease Burden
healthier than 23%
21%
Social Need / SDOH
healthier than 23%
16%
Environmental Hazard
healthier than 20%
14%
Climate / Disaster Risk
healthier than 23%
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
66743
Kansasshares a border
Score 46.37
Closest healthier
66753
Kansasshares a border
Score 46.20
Similar health profile
31020
Georgia96% similar profile
Score 41.08
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 | 32.8% | 29.6–35.8 |
| High blood pressure among adults | 41.7% | 37.9–45.3 |
| Cancer (non-skin) or melanoma among adults | 9.9% | 9.0–10.9 |
| Current asthma among adults | 10.6% | 9.5–11.8 |
| Coronary heart disease among adults | 8.9% | 8.0–9.8 |
| Chronic obstructive pulmonary disease among adults | 9.9% | 8.7–11.3 |
| Depression among adults | 21.9% | 18.9–24.9 |
| Diagnosed diabetes among adults | 13.7% | 12.0–15.5 |
| High cholesterol among adults who have ever been screened | 41.1% | 37.2–44.7 |
| Obesity among adults | 39.4% | 33.4–45.3 |
| Stroke among adults | 4.4% | 4.0–4.8 |
| All teeth lost among adults aged >=65 years | 16.9% | 14.2–19.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.8% | 7.0–10.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.0% | 78.5–83.1 |
| Visits to doctor for routine checkup within the past year among adults | 78.0% | 74.7–80.9 |
| Cholesterol screening among adults | 84.7% | 82.7–86.6 |
| Colorectal cancer screening among adults aged 45–75 years | 63.2% | 58.8–67.5 |
| Visited dentist or dental clinic in the past year among adults | 59.7% | 56.3–63.0 |
| Mammography use among women aged 50-74 years | 72.3% | 65.5–78.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 12.7–17.8 |
| Current cigarette smoking among adults | 19.1% | 16.1–22.0 |
| No leisure-time physical activity among adults | 29.4% | 25.1–33.6 |
| Short sleep duration among adults | 35.2% | 30.5–40.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.7% | 18.9–24.6 |
| Frequent mental distress among adults | 17.2% | 15.2–19.1 |
| Frequent physical distress among adults | 15.8% | 14.0–17.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.4% | 14.4–18.4 |
| Any disability among adults | 36.7% | 32.5–40.7 |
| Hearing disability among adults | 9.9% | 8.9–11.0 |
| Independent living disability among adults | 9.6% | 8.4–10.8 |
| Mobility disability among adults | 18.0% | 15.8–20.5 |
| Self-care disability among adults | 4.7% | 4.2–5.3 |
| Vision disability among adults | 5.6% | 5.0–6.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.6% | 17.8–23.9 |
| Food insecurity in the past 12 months among adults | 13.9% | 11.6–16.4 |
| Received food stamps in the past 12 months among adults | 9.3% | 7.6–11.1 |
| Housing insecurity in the past 12 months among adults | 11.2% | 9.6–13.0 |
| Lack of reliable transportation in the past 12 months among adults | 7.8% | 6.8–8.9 |
| Loneliness among adults | 33.1% | 29.0–37.4 |
| Utility services shut-off threat in the past 12 months among adults | 9.2% | 7.9–10.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.0% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 16.9% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 4.6% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 23.7% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 4.8% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 11.5% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 86.5% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 21.9% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 83.1% | 78.7% (51.7–94.0%) n=32,322 | 79.7% (59.7–94.6%) n=688 |
| Crowded housing (>1 per room) | 5.2% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.6%) n=688 |
| Foreign-born population | 0.7% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 47.8% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 18.9% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 39.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $58,750 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $96,600 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | $725 | $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 | 78.0 yr ± 1.24 | 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 1.24 years of 78.0, 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