ZIP code
66619
in Topeka, KansasPopulation 3,217
52.92/ 100
Ranked #12,196 of 32,066 US ZIPs (top 38%)
Ranked #164 of 682 Kansas ZIPs (top 24%)
Ranked #29 of 57 Topeka, KS ZIPs (bottom 49%)
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.
Crowded housing
12.2%
in the top 3.3% nationally
Lower is healthier
ST98thUS97thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Homeownership rate
40.5%
in the bottom 5.4% nationally
Higher is healthier
ST2ndUS5thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Coronary heart disease
4.2%
in the bottom 4.1% nationally
Lower is healthier
ST2ndUS4thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Stroke
2.3%
in the bottom 4.3% nationally
Lower is healthier
ST3rdUS4thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Poverty rate
28.5%
in the top 7.9% nationally
Lower is healthier
ST96thUS92ndDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Hearing disability
5.1%
in the bottom 7.2% nationally
Lower is healthier
ST2ndUS7thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Home broadband subscription
97.2%
in the top 9.6% nationally
Higher is healthier
ST91stUS90thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Diabetes
8.5%
in the bottom 6.1% nationally
Lower is healthier
ST3rdUS6thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Housing-cost burden
39.2%
in the top 11.0% nationally
Lower is healthier
ST96thUS89thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Tooth loss
6.9%
in the bottom 7.8% nationally
Lower is healthier
ST3rdUS8thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›The read
Overall, ZIP 66619, one of several in Topeka, Kansas lands in the top 38% healthiest ZIPs nationally (12,196th) and the top 24% of Kansas (164th).
A number of measures place this area on solid footing: modeled coronary heart disease registers in the bottom 4.1% nationally, and stroke rests in the bottom 4.3% nationally. Modeled hearing disability stands in the bottom 7.2% nationally, and home broadband subscription lies in the top 9.6% nationally. Modeled diabetes lands in the bottom 6.1% nationally. By contrast, crowded housing sits in the top 3.3% nationally, homeownership is in the bottom 5.4% nationally, and poverty settles in the top 7.9% nationally. Housing-cost burden resides in the top 11.0% nationally, and modeled industrial-pollution burden registers in the top 11.0% nationally.
Set beside the nearby areas, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. A note on the terms: industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. For a healthier nearby comparison, ZIP 66402, just across the boundary, ranks better 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
Chronic Disease Burden
healthier than 88%
21%
Disability
healthier than 75%
7%
About typical
Climate / Disaster Risk
healthier than 45%
5%
Healthcare Access
healthier than 42%
5%
Holding it back
Social Need / SDOH
healthier than 27%
16%
Environmental Hazard
healthier than 32%
14%
Preventive Care
healthier than 35%
13%
Risk Behavior
healthier than 34%
11%
Mental Health
healthier than 19%
8%
Lifting this score
Chronic Disease Burden
healthier than 94%
21%
Disability
healthier than 83%
7%
Climate / Disaster Risk
healthier than 95%
5%
Healthcare Access
healthier than 61%
5%
Holding it back
Social Need / SDOH
healthier than 21%
16%
Environmental Hazard
healthier than 37%
14%
Preventive Care
healthier than 30%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 3%
8%
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Disability
healthier than 82%
7%
Climate / Disaster Risk
healthier than 98%
5%
Healthcare Access
healthier than 63%
5%
Holding it back
Social Need / SDOH
healthier than 14%
16%
Environmental Hazard
healthier than 23%
14%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 4%
8%
“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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 32.6; chronic-disease standing 88.0 — 55 points apart, heavier on the environment than it is on chronic illness.
Ranked #14,938 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
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
43202
Ohio96% similar profile
Score 54.21
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 | 20.3% | 18.4–22.3 |
| High blood pressure among adults | 30.3% | 27.8–32.8 |
| Cancer (non-skin) or melanoma among adults | 5.6% | 5.0–6.2 |
| Current asthma among adults | 11.3% | 10.1–12.6 |
| Coronary heart disease among adults | 4.2% | 3.8–4.8 |
| Chronic obstructive pulmonary disease among adults | 5.6% | 4.7–6.5 |
| Depression among adults | 26.5% | 23.7–29.4 |
| Diagnosed diabetes among adults | 8.5% | 7.5–9.7 |
| High cholesterol among adults who have ever been screened | 33.8% | 31.3–36.5 |
| Obesity among adults | 38.5% | 34.7–42.4 |
| Stroke among adults | 2.3% | 2.1–2.6 |
| All teeth lost among adults aged >=65 years | 6.9% | 5.7–8.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.7% | 7.0–11.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 69.4% | 66.4–72.2 |
| Visits to doctor for routine checkup within the past year among adults | 75.4% | 72.3–78.3 |
| Cholesterol screening among adults | 82.1% | 79.4–84.7 |
| Colorectal cancer screening among adults aged 45–75 years | 68.0% | 64.6–71.4 |
| Visited dentist or dental clinic in the past year among adults | 64.5% | 61.7–67.4 |
| Mammography use among women aged 50-74 years | 79.1% | 74.1–83.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.0% | 15.6–20.6 |
| Current cigarette smoking among adults | 16.0% | 13.2–19.1 |
| No leisure-time physical activity among adults | 22.5% | 19.3–26.0 |
| Short sleep duration among adults | 38.5% | 35.0–42.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.3% | 15.0–20.0 |
| Frequent mental distress among adults | 18.4% | 16.2–20.8 |
| Frequent physical distress among adults | 11.5% | 10.0–13.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.6% | 14.2–19.1 |
| Any disability among adults | 29.1% | 25.7–32.8 |
| Hearing disability among adults | 5.1% | 4.5–5.7 |
| Independent living disability among adults | 7.9% | 6.8–9.2 |
| Mobility disability among adults | 10.7% | 9.3–12.3 |
| Self-care disability among adults | 3.1% | 2.6–3.5 |
| Vision disability among adults | 4.1% | 3.6–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.0% | 18.3–24.0 |
| Food insecurity in the past 12 months among adults | 14.6% | 11.8–17.8 |
| Received food stamps in the past 12 months among adults | 8.9% | 6.9–11.3 |
| Housing insecurity in the past 12 months among adults | 12.8% | 10.6–15.3 |
| Lack of reliable transportation in the past 12 months among adults | 8.1% | 6.8–9.5 |
| Loneliness among adults | 33.0% | 29.7–36.6 |
| Utility services shut-off threat in the past 12 months among adults | 9.9% | 8.4–11.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 28.5% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 34.2% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 7.8% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 24.5% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 3.8% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 1.7% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 97.2% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 39.2% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 40.5% | 78.7% (51.7–94.0%) n=32,322 | 79.7% (59.7–94.6%) n=688 |
| Crowded housing (>1 per room) | 12.2% | 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 | 31.7% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 7.6% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 28.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $51,528 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $89,900 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | $1,350 | $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 | 81.9 yr ± 2.45 | 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 2.45 years of 81.9, 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