ZIP code
66402
in Auburn, KansasPopulation 3,100
58.58/ 100
Ranked #5,925 of 32,066 US ZIPs (top 18%)
Ranked #59 of 682 Kansas ZIPs (top 8.7%)
Ranked #9 of 57 Topeka, KS ZIPs (top 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.
Dental provider access
0.96 per 1,000 residents
in the top 7.4% nationally
Higher is healthier
ST95thUS93rdDefinition & 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 ›Lack of transportation
5.1%
in the bottom 8.7% nationally
Lower is healthier
ST8thUS9thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Colon-cancer screening
72.8%
in the top 7.9% nationally
Higher is healthier
ST98thUS92ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Self-care disability
2.8%
in the bottom 12.0% nationally
Lower is healthier
ST8thUS12thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Vision disability
3.5%
in the bottom 10.2% nationally
Lower is healthier
ST8thUS10thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Independent-living disability
6.5%
in the bottom 14.4% nationally
Lower is healthier
ST8thUS14thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Mammography
78.8%
in the top 19% nationally
Higher is healthier
ST96thUS81stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Uninsured (under 65)
6.6%
in the bottom 22% nationally
Lower is healthier
ST8thUS22ndDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›The read
Overall, Auburn, Kansas (ZIP 66402) places in the top 18% healthiest ZIPs nationally (5,925th) and the top 8.7% of Kansas (59th).
Where the data is kindest to this area, a few readings lead the way: dental providers sits in the top 7.4% nationally, and modeled transportation lies in the bottom 8.7% nationally. Modeled colon screening rests in the top 7.9% nationally, and food insecurity resides in the bottom 12.8% nationally. Distance to a Superfund site is in the top 13.3% nationally, modeled transportation noise lands in the bottom 15% nationally, and modeled self-care disability stands in the bottom 12.0% nationally. Modeled vision disability registers in the bottom 10.2% nationally, and independent living disability settles in the bottom 14.4% nationally. On the other hand, modeled extreme heat sits in the top 13.9% nationally.
Beside the areas that surround it, park land runs far lower than the surrounding ZIPs on this measure. For readers new to these terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. Among nearby ZIPs, the nearest healthier one overall is ZIP 66546, 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 Topeka, 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 68%
21%
Social Need / SDOH
healthier than 77%
16%
Preventive Care
healthier than 86%
13%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 67%
8%
Disability
healthier than 81%
7%
About typical
Environmental Hazard
healthier than 50%
14%
Holding it back
Climate / Disaster Risk
healthier than 34%
5%
Healthcare Access
healthier than 35%
5%
Lifting this score
Chronic Disease Burden
healthier than 78%
21%
Social Need / SDOH
healthier than 85%
16%
Environmental Hazard
healthier than 69%
14%
Preventive Care
healthier than 95%
13%
Risk Behavior
healthier than 85%
11%
Disability
healthier than 88%
7%
Climate / Disaster Risk
healthier than 75%
5%
About typical
Mental Health
healthier than 48%
8%
Healthcare Access
healthier than 54%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 91%
21%
Social Need / SDOH
healthier than 89%
16%
Preventive Care
healthier than 86%
13%
Risk Behavior
healthier than 80%
11%
Disability
healthier than 91%
7%
Climate / Disaster Risk
healthier than 64%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Mental Health
healthier than 50%
8%
Healthcare Access
healthier than 55%
5%
Nothing measured is holding this score back.
“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
66413
Kansasshares a border
Score 48.84
Closest healthier
66546
Kansasshares a border
Score 59.65
Similar health profile
21666
Maryland99% similar profile
Score 61.47
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 | 26.8% | 24.5–29.2 |
| High blood pressure among adults | 36.2% | 33.5–38.9 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.4–10.2 |
| Current asthma among adults | 10.3% | 9.2–11.5 |
| Coronary heart disease among adults | 6.1% | 5.4–6.8 |
| Chronic obstructive pulmonary disease among adults | 6.3% | 5.3–7.3 |
| Depression among adults | 23.2% | 20.7–25.9 |
| Diagnosed diabetes among adults | 10.2% | 9.0–11.7 |
| High cholesterol among adults who have ever been screened | 41.0% | 38.1–43.9 |
| Obesity among adults | 35.6% | 31.9–39.3 |
| Stroke among adults | 2.9% | 2.6–3.2 |
| All teeth lost among adults aged >=65 years | 8.9% | 7.3–10.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.6% | 5.4–8.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.2% | 75.7–80.7 |
| Visits to doctor for routine checkup within the past year among adults | 79.3% | 76.8–81.8 |
| Cholesterol screening among adults | 87.8% | 86.0–89.5 |
| Colorectal cancer screening among adults aged 45–75 years | 72.8% | 69.6–75.9 |
| Visited dentist or dental clinic in the past year among adults | 71.4% | 69.0–73.9 |
| Mammography use among women aged 50-74 years | 78.8% | 73.9–83.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.3% | 14.1–18.6 |
| Current cigarette smoking among adults | 13.7% | 11.3–16.1 |
| No leisure-time physical activity among adults | 21.3% | 18.3–24.3 |
| Short sleep duration among adults | 33.1% | 30.0–36.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.8% | 13.7–18.1 |
| Frequent mental distress among adults | 14.8% | 13.1–16.6 |
| Frequent physical distress among adults | 11.6% | 10.2–13.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.0% | 11.3–14.6 |
| Any disability among adults | 28.4% | 25.4–31.6 |
| Hearing disability among adults | 6.9% | 6.2–7.8 |
| Independent living disability among adults | 6.5% | 5.6–7.4 |
| Mobility disability among adults | 12.3% | 10.6–14.1 |
| Self-care disability among adults | 2.8% | 2.4–3.2 |
| Vision disability among adults | 3.5% | 3.0–3.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.1% | 16.7–22.0 |
| Food insecurity in the past 12 months among adults | 9.0% | 7.4–10.9 |
| Received food stamps in the past 12 months among adults | 4.7% | 3.7–5.9 |
| Housing insecurity in the past 12 months among adults | 8.1% | 6.8–9.6 |
| Lack of reliable transportation in the past 12 months among adults | 5.1% | 4.3–5.9 |
| Loneliness among adults | 29.6% | 26.5–33.1 |
| Utility services shut-off threat in the past 12 months among adults | 6.0% | 5.1–7.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.9% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 5.0% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 3.7% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 35.7% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 1.7% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 5.7% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 87.0% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 19.3% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 81.4% | 78.7% (51.7–94.0%) n=32,322 | 79.7% (59.7–94.6%) n=688 |
| Crowded housing (>1 per room) | 1.1% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.6%) n=688 |
| Foreign-born population | 4.6% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 58.2% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 16.3% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 41.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $88,427 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $260,900 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | $879 | $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 | 81.2 yr ± 1.39 | 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 1.39 years of 81.2, 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