ZIP code
66546
in Wakarusa, KansasPopulation 1,143
59.65/ 100
Ranked #5,118 of 32,066 US ZIPs (top 16%)
Ranked #46 of 682 Kansas ZIPs (top 6.8%)
Ranked #5 of 57 Topeka, KS ZIPs (top 8.8%)
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.
Fatal road crashes
52.5 per 100,000 residents per year
in the top 3.3% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Lack of transportation
4.6%
in the bottom 4.4% nationally
Lower is healthier
ST3rdUS4thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Colon-cancer screening
75%
in the top 3.0% nationally
Higher is healthier
ST99thUS97thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Food insecurity
7.8%
in the bottom 6.6% nationally
Lower is healthier
ST4thUS7thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Loneliness
28%
in the bottom 7.3% nationally
Lower is healthier
ST13thUS7thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Housing insecurity
7.0%
in the bottom 7.4% nationally
Lower is healthier
ST3rdUS7thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›High cholesterol
43.6%
in the top 8.2% nationally
Lower is healthier
ST96thUS92ndDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Independent-living disability
6.1%
in the bottom 10.2% nationally
Lower is healthier
ST6thUS10thDefinition & 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 ›Tooth loss
7.8%
in the bottom 12.0% nationally
Lower is healthier
ST5thUS12thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Vision disability
3.4%
in the bottom 8.6% nationally
Lower is healthier
ST7thUS9thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›The read
By the composite measure, Wakarusa, Kansas (ZIP 66546) sits in the top 16% healthiest ZIPs nationally (5,118th) and the top 6.8% of Kansas (46th).
What works most in this area's favor shows up clearly across the measures: modeled transportation sits in the bottom 4.4% nationally, colon screening registers in the top 3.0% nationally, and food insecurity lands in the bottom 6.6% nationally. Modeled loneliness resides in the bottom 7.3% nationally, and housing insecurity lies in the bottom 7.4% nationally. Households without a vehicle settles at the national minimum, shared with about 16% of ZIPs. Poverty stands in the bottom 11.0% nationally, and modeled independent living disability is in the bottom 10.2% nationally. Working the other way, fatal road crashes rests in the top 3.3% nationally, and modeled high cholesterol sits in the top 8.2% nationally.
Compared with the ZIPs that surround it, park land runs far lower than the surrounding ZIPs on this measure. ZIP 66409, 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. 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
Social Need / SDOH
healthier than 76%
16%
Preventive Care
healthier than 95%
13%
Risk Behavior
healthier than 86%
11%
Mental Health
healthier than 84%
8%
Disability
healthier than 82%
7%
About typical
Chronic Disease Burden
healthier than 58%
21%
Environmental Hazard
healthier than 47%
14%
Holding it back
Climate / Disaster Risk
healthier than 21%
5%
Healthcare Access
healthier than 30%
5%
Lifting this score
Chronic Disease Burden
healthier than 67%
21%
Social Need / SDOH
healthier than 85%
16%
Environmental Hazard
healthier than 61%
14%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 87%
8%
Disability
healthier than 89%
7%
About typical
Healthcare Access
healthier than 50%
5%
Holding it back
Climate / Disaster Risk
healthier than 30%
5%
Lifting this score
Chronic Disease Burden
healthier than 64%
21%
Social Need / SDOH
healthier than 88%
16%
Preventive Care
healthier than 93%
13%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 92%
8%
Disability
healthier than 95%
7%
About typical
Environmental Hazard
healthier than 54%
14%
Healthcare Access
healthier than 52%
5%
Holding it back
Climate / Disaster Risk
healthier than 18%
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
66402
Kansasshares a border
Score 58.58
Closest healthier
66409
Kansasshares a border
Score 60.80
Similar health profile
29451
South Carolina99% similar profile
Score 71.29
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 | 29.0% | 26.6–31.6 |
| High blood pressure among adults | 38.9% | 36.1–41.8 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.7–11.5 |
| Current asthma among adults | 10.0% | 8.9–11.1 |
| Coronary heart disease among adults | 6.8% | 6.0–7.5 |
| Chronic obstructive pulmonary disease among adults | 6.4% | 5.5–7.3 |
| Depression among adults | 21.6% | 19.2–24.1 |
| Diagnosed diabetes among adults | 11.2% | 9.9–12.7 |
| High cholesterol among adults who have ever been screened | 43.6% | 40.7–46.5 |
| Obesity among adults | 35.2% | 31.6–39.0 |
| Stroke among adults | 3.1% | 2.8–3.4 |
| All teeth lost among adults aged >=65 years | 7.8% | 6.5–9.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.9% | 5.0–7.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.7% | 78.2–82.8 |
| Visits to doctor for routine checkup within the past year among adults | 81.0% | 78.7–83.1 |
| Cholesterol screening among adults | 89.4% | 88.1–90.6 |
| Colorectal cancer screening among adults aged 45–75 years | 75.0% | 71.9–77.8 |
| Visited dentist or dental clinic in the past year among adults | 74.4% | 72.1–76.6 |
| Mammography use among women aged 50-74 years | 78.8% | 74.2–82.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.4% | 13.5–17.6 |
| Current cigarette smoking among adults | 12.3% | 10.4–14.5 |
| No leisure-time physical activity among adults | 20.3% | 17.6–23.2 |
| Short sleep duration among adults | 31.5% | 28.4–34.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.4% | 13.4–17.4 |
| Frequent mental distress among adults | 13.4% | 11.9–15.0 |
| Frequent physical distress among adults | 11.5% | 10.2–13.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.8% | 10.4–13.3 |
| Any disability among adults | 28.3% | 25.4–31.3 |
| Hearing disability among adults | 7.5% | 6.7–8.4 |
| Independent living disability among adults | 6.1% | 5.3–6.9 |
| Mobility disability among adults | 12.6% | 11.0–14.3 |
| Self-care disability among adults | 2.8% | 2.5–3.2 |
| Vision disability among adults | 3.4% | 3.0–3.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 18.2% | 15.9–20.7 |
| Food insecurity in the past 12 months among adults | 7.8% | 6.4–9.2 |
| Received food stamps in the past 12 months among adults | 3.9% | 3.1–4.7 |
| Housing insecurity in the past 12 months among adults | 7.0% | 5.9–8.2 |
| Lack of reliable transportation in the past 12 months among adults | 4.6% | 4.0–5.3 |
| Loneliness among adults | 28.0% | 25.1–31.1 |
| Utility services shut-off threat in the past 12 months among adults | 5.3% | 4.5–6.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.3% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 1.8% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 2.8% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 37.5% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 3.4% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 89.2% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 14.5% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 88.6% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 64.3% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 32.5% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 56.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $86,607 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $232,300 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | $1,288 | $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 | 81.5 yr ± 2.00 | 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 2.00 years of 81.5, 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