ZIP code
66516
in Netawaka, KansasPopulation 408
51.16/ 100
Ranked #14,591 of 32,066 US ZIPs (top 46%)
Ranked #252 of 682 Kansas ZIPs (top 37%)
Ranked #39 of 57 Topeka, KS ZIPs (bottom 32%)
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.
Distance to a Superfund site
56.1 mi
in the top 9.9% nationally
Higher is healthier
ST92ndUS90thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Air-toxics cancer risk
20 per million
in the bottom 25% nationally
Lower is healthier
ST1stUS25thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›The read
Netawaka, Kansas (ZIP 66516), overall, ranks in the top 46% healthiest ZIPs nationally (14,591st) and the top 37% of Kansas (252nd).
Reading the numbers as a whole, this area's strong points come through first: unemployment resides at the national minimum, shared with about 15% of ZIPs. Distance to a Superfund site settles in the top 9.9% nationally, modeled loneliness is in the bottom 17% nationally, and modeled transportation noise sits in the bottom 18% nationally. Modeled industrial-pollution burden lands in the bottom 19% nationally. Set against that, walkability lies in the bottom 10.3% nationally, and modeled extreme heat stands in the top 14.9% nationally. Slow internet speeds rests in the top 16% nationally, and distance to a community health center registers in the top 16% nationally. Modeled fine-particle resides in the top 20% nationally.
Defined simply, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. ZIP 66552, just across the boundary, comes out 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
Mental Health
healthier than 72%
8%
About typical
Chronic Disease Burden
healthier than 48%
21%
Social Need / SDOH
healthier than 53%
16%
Environmental Hazard
healthier than 54%
14%
Preventive Care
healthier than 45%
13%
Risk Behavior
healthier than 51%
11%
Disability
healthier than 54%
7%
Holding it back
Climate / Disaster Risk
healthier than 26%
5%
Healthcare Access
healthier than 16%
5%
Lifting this score
Environmental Hazard
healthier than 74%
14%
About typical
Chronic Disease Burden
healthier than 52%
21%
Social Need / SDOH
healthier than 59%
16%
Preventive Care
healthier than 46%
13%
Risk Behavior
healthier than 42%
11%
Mental Health
healthier than 59%
8%
Disability
healthier than 59%
7%
Climate / Disaster Risk
healthier than 47%
5%
Holding it back
Healthcare Access
healthier than 31%
5%
Lifting this score
Environmental Hazard
healthier than 68%
14%
Mental Health
healthier than 61%
8%
About typical
Chronic Disease Burden
healthier than 45%
21%
Social Need / SDOH
healthier than 43%
16%
Disability
healthier than 46%
7%
Holding it back
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 27%
11%
Climate / Disaster Risk
healthier than 30%
5%
Healthcare Access
healthier than 30%
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
66436
Kansasshares a border
Score 51.21
Closest healthier
66552
Kansasshares a border
Score 51.93
Similar health profile
33043
Florida94% similar profile
Score 56.47
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 | 30.2% | 27.1–33.5 |
| High blood pressure among adults | 37.3% | 33.5–41.1 |
| Cancer (non-skin) or melanoma among adults | 9.9% | 9.0–10.8 |
| Current asthma among adults | 10.2% | 9.0–11.3 |
| Coronary heart disease among adults | 7.9% | 7.0–8.7 |
| Chronic obstructive pulmonary disease among adults | 7.9% | 6.9–9.0 |
| Depression among adults | 20.6% | 17.7–23.7 |
| Diagnosed diabetes among adults | 12.2% | 10.7–13.9 |
| High cholesterol among adults who have ever been screened | 39.3% | 35.5–43.4 |
| Obesity among adults | 37.4% | 31.1–44.6 |
| Stroke among adults | 3.8% | 3.4–4.1 |
| All teeth lost among adults aged >=65 years | 12.5% | 10.5–14.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.8% | 6.4–9.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.6% | 78.2–82.9 |
| Visits to doctor for routine checkup within the past year among adults | 77.8% | 74.8–80.8 |
| Cholesterol screening among adults | 85.5% | 83.8–87.0 |
| Colorectal cancer screening among adults aged 45–75 years | 60.9% | 56.4–64.9 |
| Visited dentist or dental clinic in the past year among adults | 64.6% | 61.4–67.7 |
| Mammography use among women aged 50-74 years | 74.3% | 67.6–79.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.1% | 13.7–18.8 |
| Current cigarette smoking among adults | 15.5% | 13.2–18.0 |
| No leisure-time physical activity among adults | 26.4% | 22.3–30.9 |
| Short sleep duration among adults | 35.0% | 29.8–40.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.1% | 15.7–20.7 |
| Frequent mental distress among adults | 16.1% | 14.3–18.1 |
| Frequent physical distress among adults | 13.5% | 12.0–15.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.5% | 12.7–16.4 |
| Any disability among adults | 32.5% | 28.5–36.9 |
| Hearing disability among adults | 9.0% | 8.1–10.0 |
| Independent living disability among adults | 7.9% | 6.9–8.8 |
| Mobility disability among adults | 14.9% | 13.0–17.0 |
| Self-care disability among adults | 3.6% | 3.2–4.1 |
| Vision disability among adults | 4.4% | 4.0–4.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.5% | 17.6–23.6 |
| Food insecurity in the past 12 months among adults | 10.6% | 8.7–12.5 |
| Received food stamps in the past 12 months among adults | 5.9% | 4.8–7.1 |
| Housing insecurity in the past 12 months among adults | 9.2% | 7.7–10.6 |
| Lack of reliable transportation in the past 12 months among adults | 6.3% | 5.4–7.1 |
| Loneliness among adults | 29.4% | 25.4–33.7 |
| Utility services shut-off threat in the past 12 months among adults | 7.0% | 6.1–8.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.8% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 7.4% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 4.1% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 20.7% | 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 | 2.7% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 87.9% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 20.8% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 78.5% | 78.7% (51.7–94.0%) n=32,322 | 79.7% (59.7–94.6%) n=688 |
| Crowded housing (>1 per room) | 2.0% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.6%) n=688 |
| Foreign-born population | 1.7% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 71.7% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 11.3% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 31.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $80,938 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $174,000 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | $746 | $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 | 80.2 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 80.2, 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