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ZIP code

66757

in Neodesha, KansasPopulation 3,326

ZipVitals Score
How is the ZipVitals Score calculated? →

45.10/ 100

Ranked #22,307 of 32,066 US ZIPs (bottom 30%)

Ranked #571 of 682 Kansas ZIPs (bottom 16%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Mental-health provider access

0.61 per 1,000 residents

in the top 0.6% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

The number of mental-health 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

0.3 per 1,000 residents

in the top 4.5% nationally

Higher is healthier

ST81st
US96th
Definition & 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 ›

Outpatient-care access

0.61 per 1,000 residents

in the top 5.3% nationally

Higher is healthier

ST96th
US95th
Definition & 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 ›

Energy-cost burden

5.2%

in the top 7.4% nationally

Lower is healthier

ST94th
US93rd
Definition & 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 ›

Mammography

68.9%

in the bottom 10.1% nationally

Higher is healthier

ST8th
US10th
Definition & source ›

The estimated share of women aged 50–74 who had a mammogram within the past two years.

Full methodology ›

Physician access

1.5 per 1,000 residents

in the top 11.4% nationally

Higher is healthier

ST93rd
US89th
Definition & source ›

The number of physicians’ 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 ›

Humid extreme heat

88.5 days/year

in the top 28% nationally

Lower is healthier

ST96th
US72nd
Definition & 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

Overall, Neodesha, Kansas (ZIP 66757) places in the bottom 30% nationally (22,307th) and the bottom 16% of Kansas (571st).

continue reading

The data opens on real and measurable burdens: modeled energy burden registers in the top 7.4% nationally. Fiber broadband settles at the national minimum, shared with about 19% of ZIPs. Modeled mammography sits in the bottom 10.1% nationally, extreme heat lies in the top 12.2% nationally, and fine-particle rests in the top 13.4% nationally. More encouragingly, mental-health providers resides in the top 0.6% nationally, elder services is in the top 4.5% nationally, and outpatient lands in the top 5.3% nationally. Physicians stands in the top 11.4% nationally. Distance to a nursing home registers at the national minimum, shared with about 27% of ZIPs.

Beside the areas that surround it, mental-health providers runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Energy burden is the share of household income that goes to home energy bills. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Among nearby ZIPs, the nearest healthier one overall is ZIP 66776, 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.

Compare within

Nothing measured is lifting this score.

About typical

Risk Behavior

healthier than 47%

11%

Mental Health

healthier than 54%

8%

Holding it back

Chronic Disease Burden

healthier than 31%

21%

Social Need / SDOH

healthier than 30%

16%

Environmental Hazard

healthier than 26%

14%

Preventive Care

healthier than 31%

13%

Disability

healthier than 32%

7%

Climate / Disaster Risk

healthier than 16%

5%

Healthcare Access

healthier than 38%

5%

Nothing measured is lifting this score.

About typical

Healthcare Access

healthier than 55%

5%

Holding it back

Chronic Disease Burden

healthier than 21%

21%

Social Need / SDOH

healthier than 23%

16%

Environmental Hazard

healthier than 26%

14%

Preventive Care

healthier than 24%

13%

Risk Behavior

healthier than 35%

11%

Mental Health

healthier than 23%

8%

Disability

healthier than 18%

7%

Climate / Disaster Risk

healthier than 13%

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.

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
MeasureCrude prevalence95% CI
Arthritis among adults31.8%28.4–35.3
High blood pressure among adults39.5%35.5–43.7
Cancer (non-skin) or melanoma among adults9.7%8.8–10.7
Current asthma among adults10.8%9.6–12.1
Coronary heart disease among adults8.4%7.4–9.4
Chronic obstructive pulmonary disease among adults9.5%8.1–10.9
Depression among adults22.0%18.8–25.4
Diagnosed diabetes among adults13.4%11.6–15.3
High cholesterol among adults who have ever been screened39.7%35.3–44.0
Obesity among adults40.2%32.4–48.1
Stroke among adults4.2%3.8–4.7
All teeth lost among adults aged >=65 years14.9%12.1–17.8
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years8.9%7.1–10.9
Taking medicine to control high blood pressure among adults with high blood pressure80.4%77.7–82.8
Visits to doctor for routine checkup within the past year among adults77.5%73.9–80.8
Cholesterol screening among adults84.8%82.8–86.8
Colorectal cancer screening among adults aged 45–75 years61.9%56.3–67.2
Visited dentist or dental clinic in the past year among adults63.8%59.9–67.3
Mammography use among women aged 50-74 years68.9%59.6–77.1
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.7%12.2–17.5
Current cigarette smoking among adults18.1%15.2–21.3
No leisure-time physical activity among adults29.3%24.4–34.7
Short sleep duration among adults33.9%27.3–40.8
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults21.5%18.4–24.8
Frequent mental distress among adults17.1%15.1–19.2
Frequent physical distress among adults15.0%13.1–17.1
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults16.1%14.1–18.3
Any disability among adults35.5%30.9–40.3
Hearing disability among adults9.6%8.5–10.7
Independent living disability among adults9.5%8.2–10.8
Mobility disability among adults17.5%15.0–20.1
Self-care disability among adults4.6%4.0–5.2
Vision disability among adults5.5%4.8–6.2
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults20.9%17.7–24.3
Food insecurity in the past 12 months among adults14.0%11.5–16.7
Received food stamps in the past 12 months among adults9.1%7.4–11.1
Housing insecurity in the past 12 months among adults11.3%9.4–13.1
Lack of reliable transportation in the past 12 months among adults7.7%6.7–8.9
Loneliness among adults30.0%25.2–34.8
Utility services shut-off threat in the past 12 months among adults9.0%7.6–10.3
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)KS median (p10–p90)
Poverty rate13.7%10.6% (3.1–25.8%) n=32,3648.8% (2.7–20.7%) n=688
Uninsured 18–649.6%9.0% (1.5–24.3%) n=32,28610.6% (2.3–24.2%) n=686
No HS diploma (25+)8.0%7.9% (1.8–20.7%) n=32,5055.7% (1.1–14.8%) n=689
Bachelor's or higher (25+)28.3%23.3% (9.2–53.6%) n=32,50524.0% (11.3–43.6%) n=689
Unemployment rate (16+)3.5%3.9% (0.0–9.8%) n=32,2742.2% (0.0–7.1%) n=689
Households without a vehicle5.8%3.9% (0.0–12.5%) n=32,3222.8% (0.0–8.3%) n=688
Broadband subscription84.0%89.3% (75.1–97.1%) n=32,32288.4% (75.3–96.9%) n=688
Housing cost burden (≥30% income)17.3%23.7% (10.6–40.0%) n=32,32219.5% (7.8–31.9%) n=688
Homeownership rate78.0%78.7% (51.7–94.0%) n=32,32279.7% (59.7–94.6%) n=688
Crowded housing (>1 per room)0.4%1.3% (0.0–6.3%) n=32,3220.7% (0.0–4.6%) n=688
Foreign-born population1.5%2.6% (0.0–18.6%) n=32,5531.1% (0.0–9.9%) n=692
Single-parent households64.6%53.6% (37.3–74.1%) n=32,08755.7% (41.7–78.0%) n=684
Population 65+18.1%19.4% (10.8–33.6%) n=32,55320.6% (11.9–35.1%) n=692
Median age41.6 yr42.2 yr (33.0–56.3) n=32,29241.9 yr (32.2–56.9) n=689
Median household income$68,083$72,070 ($46,039–$118,707) n=30,318$67,738 ($49,860–$97,877) n=659
Median home value$140,300$222,200 ($100,300–$579,820) n=30,049$135,800 ($68,740–$290,700) n=627
Median gross rent$713$1,021 ($677–$1,912) n=25,670$820 ($592–$1,257) n=519
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)KS median (p10–p90)
Life expectancy at birth72.4 yr ± 1.3078.9 yr (74.7–82.8) n=31,30878.9 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 1.30 years of 72.4, and it’s very unlikely to be off by more than twice that.

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