ZIP code
66093
in Westphalia, KansasPopulation 576
44.98/ 100
Ranked #22,423 of 32,066 US ZIPs (bottom 30%)
Ranked #575 of 682 Kansas ZIPs (bottom 16%)
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.
Industrial-pollution burden
in the bottom 6.2% nationally
Lower is healthier
ST8thUS6thDefinition & 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 ›Mammography
68.3%
in the bottom 8.3% nationally
Higher is healthier
ST4thUS8thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Homeownership rate
94.4%
in the top 9.5% nationally
Higher is healthier
ST89thUS91stDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Dry extreme heat
28.6 days/year
in the top 16% nationally
Lower is healthier
ST7thUS84thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
By the composite measure, Westphalia, Kansas (ZIP 66093) sits in the bottom 30% nationally (22,423rd) and the bottom 16% of Kansas (575th).
The readings split fairly evenly between strengths and concerns: modeled industrial-pollution burden settles in the bottom 6.2% nationally. Unemployment stands at the national minimum, shared with about 15% of ZIPs. Homeownership is in the top 9.5% nationally. Crowded housing rests at the national minimum, shared with about 29% of ZIPs. Poverty sits in the bottom 16% nationally. Working the other way, modeled mammography registers in the bottom 8.3% nationally, and outer-floodplain exposure lands in the top 14.1% nationally. Home broadband subscription resides in the bottom 14.1% nationally, and slow internet speeds lies in the top 14.8% nationally. Distance to a hazardous-chemical facility settles at the national minimum, shared with about 31% of ZIPs.
In plain language, 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 hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". ZIP 66032, just across the boundary, ranks healthier overall.
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.
Lifting this score
Environmental Hazard
healthier than 68%
14%
About typical
Mental Health
healthier than 52%
8%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Social Need / SDOH
healthier than 35%
16%
Preventive Care
healthier than 22%
13%
Risk Behavior
healthier than 34%
11%
Disability
healthier than 29%
7%
Climate / Disaster Risk
healthier than 28%
5%
Healthcare Access
healthier than 22%
5%
Lifting this score
Environmental Hazard
healthier than 90%
14%
About typical
Climate / Disaster Risk
healthier than 55%
5%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Social Need / SDOH
healthier than 31%
16%
Preventive Care
healthier than 12%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 19%
8%
Disability
healthier than 14%
7%
Healthcare Access
healthier than 40%
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
66015
Kansasshares a border
Score 42.32
Closest healthier
66032
Kansasshares a border
Score 47.10
Similar health profile
17861
Pennsylvania97% similar profile
Score 37.79
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% | 29.2–34.6 |
| High blood pressure among adults | 39.8% | 36.4–43.0 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.2–10.7 |
| Current asthma among adults | 10.5% | 9.5–11.6 |
| Coronary heart disease among adults | 8.6% | 7.8–9.5 |
| Chronic obstructive pulmonary disease among adults | 9.9% | 8.7–11.2 |
| Depression among adults | 21.9% | 19.3–24.7 |
| Diagnosed diabetes among adults | 13.4% | 11.9–14.9 |
| High cholesterol among adults who have ever been screened | 39.7% | 36.3–43.0 |
| Obesity among adults | 39.8% | 33.6–46.1 |
| Stroke among adults | 4.3% | 3.9–4.7 |
| All teeth lost among adults aged >=65 years | 17.7% | 15.3–20.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.7% | 8.0–11.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.6% | 78.5–82.4 |
| Visits to doctor for routine checkup within the past year among adults | 77.2% | 74.3–80.1 |
| Cholesterol screening among adults | 83.8% | 81.9–85.7 |
| Colorectal cancer screening among adults aged 45–75 years | 61.7% | 57.6–66.0 |
| Visited dentist or dental clinic in the past year among adults | 56.4% | 53.3–59.7 |
| Mammography use among women aged 50-74 years | 68.3% | 61.7–74.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 13.1–17.6 |
| Current cigarette smoking among adults | 18.8% | 16.2–21.3 |
| No leisure-time physical activity among adults | 30.5% | 26.5–34.6 |
| Short sleep duration among adults | 34.9% | 30.0–40.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.9% | 19.3–24.6 |
| Frequent mental distress among adults | 17.4% | 15.6–19.2 |
| Frequent physical distress among adults | 15.2% | 13.6–16.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.6% | 14.7–18.6 |
| Any disability among adults | 36.6% | 32.7–40.5 |
| Hearing disability among adults | 9.9% | 9.0–10.9 |
| Independent living disability among adults | 9.7% | 8.6–10.8 |
| Mobility disability among adults | 18.0% | 16.0–20.1 |
| Self-care disability among adults | 4.5% | 4.0–5.1 |
| Vision disability among adults | 5.5% | 5.0–6.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.6% | 19.0–24.9 |
| Food insecurity in the past 12 months among adults | 14.4% | 12.1–17.2 |
| Received food stamps in the past 12 months among adults | 9.3% | 7.7–11.2 |
| Housing insecurity in the past 12 months among adults | 10.9% | 9.5–12.8 |
| Lack of reliable transportation in the past 12 months among adults | 7.5% | 6.5–8.7 |
| Loneliness among adults | 30.4% | 26.8–34.7 |
| Utility services shut-off threat in the past 12 months among adults | 8.4% | 7.4–9.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.3% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 25.1% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 6.5% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 5.3% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 1.3% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 78.4% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 16.9% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 94.4% | 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 | 0.7% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 78.5% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 27.4% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 45.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $65,903 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $115,700 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | — | $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 | 80.1 yr ± 1.14 | 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 1.14 years of 80.1, 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