ZIP code
57015
in Chancellor, South DakotaPopulation 802
56.92/ 100
Ranked #7,355 of 32,066 US ZIPs (top 23%)
Ranked #75 of 360 South Dakota ZIPs (top 21%)
Ranked #23 of 47 Sioux Falls, SD-MN ZIPs (top 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.
Radon
3.8 pCi/L
in the top 2.7% nationally
Lower is healthier
ST76thUS97thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›Short sleep
27.4%
in the bottom 2.1% nationally
Lower is healthier
ST6thUS2ndDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Lithium in drinking water
71 µg/L
in the top 5.7% nationally
Lower is healthier
ST88thUS94thDefinition & source ›
The average detected level of lithium — a natural trace metal with no federal drinking-water limit yet — across the public water systems serving this ZIP, in micrograms per liter.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Outer-floodplain exposure
3.4%
in the top 10.0% nationally
Lower is healthier
ST69thUS90thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Tooth loss
8.3%
in the bottom 14.6% nationally
Lower is healthier
ST9thUS15thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Median household income
$110,250
in the top 13.3% nationally
Higher is healthier
ST94thUS87thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Industrial-pollution burden
in the top 24% nationally
Lower is healthier
ST98thUS76thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›The read
Chancellor, South Dakota (ZIP 57015), overall, ranks in the top 23% healthiest ZIPs nationally (7,355th) and the top 21% of South Dakota (75th).
This area's measures are easy to read as a mixed set: modeled short sleep lands in the bottom 2.1% nationally, distance to a Superfund site lies in the top 13.6% nationally, and modeled pfas stands in the bottom 16% nationally. Modeled tooth loss rests in the bottom 14.6% nationally. Set against that, modeled radon registers in the top 2.7% nationally, and lithium in drinking water resides in the top 5.7% nationally. Outer-floodplain exposure settles in the top 10.0% nationally, and modeled fine-particle is in the top 11.7% nationally. Walkability sits in the bottom 13.8% nationally. Distance to a hazardous-chemical facility lands at the national minimum, shared with about 31% of ZIPs.
Measured against the nearby ZIPs, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. Defined simply, radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. ZIP 57033, 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 Sioux Falls, SD-MN 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 62%
21%
Preventive Care
healthier than 73%
13%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 85%
8%
Disability
healthier than 69%
7%
Climate / Disaster Risk
healthier than 67%
5%
About typical
Social Need / SDOH
healthier than 50%
16%
Holding it back
Environmental Hazard
healthier than 36%
14%
Healthcare Access
healthier than 22%
5%
Lifting this score
Social Need / SDOH
healthier than 63%
16%
Preventive Care
healthier than 61%
13%
Risk Behavior
healthier than 78%
11%
Mental Health
healthier than 64%
8%
Disability
healthier than 69%
7%
Healthcare Access
healthier than 67%
5%
About typical
Chronic Disease Burden
healthier than 59%
21%
Environmental Hazard
healthier than 45%
14%
Climate / Disaster Risk
healthier than 59%
5%
Nothing measured is holding this score back.
Lifting this score
Environmental Hazard
healthier than 61%
14%
Preventive Care
healthier than 61%
13%
Risk Behavior
healthier than 72%
11%
Mental Health
healthier than 78%
8%
Climate / Disaster Risk
healthier than 86%
5%
About typical
Healthcare Access
healthier than 47%
5%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Social Need / SDOH
healthier than 19%
16%
Disability
healthier than 33%
7%
“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
57021
South Dakotashares a border
Score 52.32
Closest healthier
57033
South Dakotashares a border
Score 60.95
Similar health profile
57481
South Dakota99% 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 | 28.5% | 24.9–32.2 |
| High blood pressure among adults | 35.3% | 30.9–39.8 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.4–11.6 |
| Current asthma among adults | 10.0% | 8.7–11.3 |
| Coronary heart disease among adults | 7.4% | 6.4–8.4 |
| Chronic obstructive pulmonary disease among adults | 7.2% | 6.0–8.5 |
| Depression among adults | 20.3% | 16.9–23.9 |
| Diagnosed diabetes among adults | 12.1% | 10.3–14.0 |
| High cholesterol among adults who have ever been screened | 36.6% | 32.1–41.3 |
| Obesity among adults | 34.5% | 26.5–43.3 |
| Stroke among adults | 3.6% | 3.2–4.1 |
| All teeth lost among adults aged >=65 years | 8.3% | 6.6–10.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.1% | 6.2–10.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.1% | 74.9–81.2 |
| Visits to doctor for routine checkup within the past year among adults | 77.3% | 73.4–81.0 |
| Cholesterol screening among adults | 87.5% | 85.4–89.4 |
| Colorectal cancer screening among adults aged 45–75 years | 67.4% | 62.3–72.3 |
| Visited dentist or dental clinic in the past year among adults | 72.3% | 69.0–75.5 |
| Mammography use among women aged 50-74 years | 78.7% | 71.4–84.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.8% | 14.7–21.4 |
| Current cigarette smoking among adults | 15.3% | 12.4–18.2 |
| No leisure-time physical activity among adults | 23.6% | 19.1–28.4 |
| Short sleep duration among adults | 27.4% | 21.8–33.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.5% | 13.8–19.4 |
| Frequent mental distress among adults | 14.3% | 12.4–16.2 |
| Frequent physical distress among adults | 12.6% | 10.8–14.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.5% | 10.6–14.3 |
| Any disability among adults | 28.7% | 24.2–33.3 |
| Hearing disability among adults | 8.5% | 7.5–9.6 |
| Independent living disability among adults | 7.1% | 6.1–8.2 |
| Mobility disability among adults | 13.0% | 10.9–15.2 |
| Self-care disability among adults | 3.5% | 3.0–4.0 |
| Vision disability among adults | 4.2% | 3.7–4.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SD median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.8% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (1.1–33.5%) n=364 |
| Uninsured 18–64 | 17.5% | 9.0% (1.5–24.3%) n=32,286 | 9.6% (0.0–33.2%) n=365 |
| No HS diploma (25+) | 2.3% | 7.9% (1.8–20.7%) n=32,505 | 6.0% (0.8–15.3%) n=366 |
| Bachelor's or higher (25+) | 29.8% | 23.3% (9.2–53.6%) n=32,505 | 24.6% (10.3–40.7%) n=366 |
| Unemployment rate (16+) | 6.6% | 3.9% (0.0–9.8%) n=32,274 | 1.1% (0.0–8.0%) n=365 |
| Households without a vehicle | 5.1% | 3.9% (0.0–12.5%) n=32,322 | 1.9% (0.0–9.6%) n=364 |
| Broadband subscription | 95.3% | 89.3% (75.1–97.1%) n=32,322 | 87.9% (73.7–96.3%) n=364 |
| Housing cost burden (≥30% income) | 17.6% | 23.7% (10.6–40.0%) n=32,322 | 17.5% (5.2–30.6%) n=364 |
| Homeownership rate | 87.5% | 78.7% (51.7–94.0%) n=32,322 | 79.9% (57.2–94.8%) n=364 |
| Crowded housing (>1 per room) | 1.6% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–10.2%) n=364 |
| Foreign-born population | 3.5% | 2.6% (0.0–18.6%) n=32,553 | 0.6% (0.0–5.3%) n=367 |
| Single-parent households | 37.8% | 53.6% (37.3–74.1%) n=32,087 | 56.7% (32.7–81.4%) n=362 |
| Population 65+ | 12.8% | 19.4% (10.8–33.6%) n=32,553 | 20.3% (8.4–33.0%) n=367 |
| Median age | 30.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (27.6–56.7) n=365 |
| Median household income | $110,250 | $72,070 ($46,039–$118,707) n=30,318 | $74,865 ($51,211–$102,582) n=336 |
| Median home value | $321,400 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($79,000–$321,400) n=311 |
| Median gross rent | $742 | $1,021 ($677–$1,912) n=25,670 | $763 ($544–$1,089) n=243 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | SD median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 80.1 yr ± 1.06 | 78.9 yr (74.7–82.8) n=31,308 | 80.7 yr (77.4–84.2) n=357 |
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 1.06 years of 80.1, 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