ZIP code
67001
in Andale, KansasPopulation 2,535
57.22/ 100
Ranked #7,058 of 32,066 US ZIPs (top 22%)
Ranked #68 of 682 Kansas ZIPs (top 10.0%)
Ranked #15 of 77 Wichita, KS ZIPs (top 19%)
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.
Grocery access
0.52 per 1,000 residents
in the top 1.4% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Homeownership rate
97.4%
in the top 6.2% nationally
Higher is healthier
ST94thUS94thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Dry extreme heat
49.3 days/year
in the top 9.6% nationally
Lower is healthier
ST77thUS90thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Stroke
2.5%
in the bottom 6.7% nationally
Lower is healthier
ST5thUS7thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Lack of transportation
5.2%
in the bottom 9.9% nationally
Lower is healthier
ST9thUS10thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Home broadband subscription
97.1%
in the top 9.9% nationally
Higher is healthier
ST91stUS90thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Fine-particle (PM2.5) exceedance
0.82%
in the top 10.5% nationally
Lower is healthier
ST93rdUS90thDefinition & 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 ›Diabetes
8.7%
in the bottom 7.1% nationally
Lower is healthier
ST4thUS7thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Food insecurity
8.7%
in the bottom 11.0% nationally
Lower is healthier
ST9thUS11thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Coronary heart disease
5.0%
in the bottom 9.7% nationally
Lower is healthier
ST5thUS10thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›The read
Andale, Kansas (ZIP 67001), on the composite measure, lands in the top 22% healthiest ZIPs nationally (7,058th) and the top 10.0% of Kansas (68th).
The profile cuts both ways, and the readings bear that out: grocery rests in the top 1.4% nationally, homeownership sits in the top 6.2% nationally, and modeled stroke registers in the bottom 6.7% nationally. Modeled transportation lands in the bottom 9.9% nationally, home broadband subscription resides in the top 9.9% nationally, and modeled diabetes lies in the bottom 7.1% nationally. Modeled food insecurity settles in the bottom 11.0% nationally, and fiber broadband stands in the top 11.1% nationally. Working the other way, modeled extreme heat is in the top 9.6% nationally, and fine-particle rests in the top 10.5% nationally.
In everyday language, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. A healthier neighbor overall sits at ZIP 67052, 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 Wichita, 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 87%
21%
Social Need / SDOH
healthier than 76%
16%
Risk Behavior
healthier than 64%
11%
Disability
healthier than 87%
7%
About typical
Environmental Hazard
healthier than 59%
14%
Mental Health
healthier than 45%
8%
Holding it back
Preventive Care
healthier than 34%
13%
Climate / Disaster Risk
healthier than 25%
5%
Healthcare Access
healthier than 20%
5%
Lifting this score
Chronic Disease Burden
healthier than 93%
21%
Social Need / SDOH
healthier than 85%
16%
Environmental Hazard
healthier than 80%
14%
Risk Behavior
healthier than 70%
11%
Disability
healthier than 92%
7%
About typical
Climate / Disaster Risk
healthier than 41%
5%
Holding it back
Preventive Care
healthier than 28%
13%
Mental Health
healthier than 10%
8%
Healthcare Access
healthier than 37%
5%
Lifting this score
Chronic Disease Burden
healthier than 95%
21%
Social Need / SDOH
healthier than 80%
16%
Environmental Hazard
healthier than 87%
14%
Risk Behavior
healthier than 67%
11%
Disability
healthier than 87%
7%
About typical
Climate / Disaster Risk
healthier than 51%
5%
Holding it back
Preventive Care
healthier than 33%
13%
Mental Health
healthier than 20%
8%
Healthcare Access
healthier than 20%
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
67030
Kansasshares a border
Score 55.62
Closest healthier
67052
Kansasshares a border
Score 59.48
Similar health profile
21010
Maryland98% similar profile
Score 60.18
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 | 22.7% | 20.6–24.8 |
| High blood pressure among adults | 29.9% | 27.4–32.5 |
| Cancer (non-skin) or melanoma among adults | 7.6% | 6.9–8.4 |
| Current asthma among adults | 10.0% | 8.9–11.1 |
| Coronary heart disease among adults | 5.0% | 4.4–5.6 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.6–6.3 |
| Depression among adults | 24.1% | 21.6–26.8 |
| Diagnosed diabetes among adults | 8.7% | 7.7–9.9 |
| High cholesterol among adults who have ever been screened | 34.6% | 32.0–37.4 |
| Obesity among adults | 35.6% | 31.9–39.1 |
| Stroke among adults | 2.5% | 2.2–2.8 |
| All teeth lost among adults aged >=65 years | 8.8% | 7.2–10.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.6% | 5.2–8.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.9% | 73.0–78.6 |
| Visits to doctor for routine checkup within the past year among adults | 72.7% | 69.7–75.6 |
| Cholesterol screening among adults | 84.6% | 82.5–86.5 |
| Colorectal cancer screening among adults aged 45–75 years | 63.6% | 60.3–66.8 |
| Visited dentist or dental clinic in the past year among adults | 70.7% | 68.2–73.1 |
| Mammography use among women aged 50-74 years | 73.0% | 67.9–77.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.9% | 16.5–21.4 |
| Current cigarette smoking among adults | 13.1% | 10.9–15.5 |
| No leisure-time physical activity among adults | 19.4% | 16.7–22.4 |
| Short sleep duration among adults | 34.1% | 31.1–37.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.3% | 12.3–16.6 |
| Frequent mental distress among adults | 16.6% | 14.8–18.6 |
| Frequent physical distress among adults | 10.9% | 9.6–12.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.1% | 11.3–14.9 |
| Any disability among adults | 25.1% | 22.2–28.2 |
| Hearing disability among adults | 5.9% | 5.3–6.7 |
| Independent living disability among adults | 6.3% | 5.4–7.2 |
| Mobility disability among adults | 10.2% | 8.7–11.8 |
| Self-care disability among adults | 2.7% | 2.3–3.0 |
| Vision disability among adults | 3.2% | 2.8–3.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.6% | 18.9–24.3 |
| Food insecurity in the past 12 months among adults | 8.7% | 7.1–10.5 |
| Received food stamps in the past 12 months among adults | 4.4% | 3.5–5.5 |
| Housing insecurity in the past 12 months among adults | 8.5% | 7.1–10.1 |
| Lack of reliable transportation in the past 12 months among adults | 5.2% | 4.4–6.0 |
| Loneliness among adults | 32.2% | 29.0–35.3 |
| Utility services shut-off threat in the past 12 months among adults | 6.3% | 5.4–7.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.1% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 0.5% | 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+) | 32.1% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 2.5% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 0.4% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 97.1% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 32.9% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 97.4% | 78.7% (51.7–94.0%) n=32,322 | 79.7% (59.7–94.6%) n=688 |
| Crowded housing (>1 per room) | 2.8% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.6%) n=688 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 61.3% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 14.1% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 36.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $98,661 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $357,300 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | $1,063 | $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 | 79.4 yr ± 1.03 | 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 1.03 years of 79.4, 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