ZIP code
57026
in Elkton, South DakotaPopulation 1,531
57.54/ 100
Ranked #6,765 of 32,066 US ZIPs (top 21%)
Ranked #56 of 360 South Dakota 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.
Radon
3.3 pCi/L
in the top 6.9% nationally
Lower is healthier
ST39thUS93rdDefinition & 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 ›Distance to a Superfund site
80.3 mi
in the top 5.1% nationally
Higher is healthier
ST39thUS95thDefinition & 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 ›Crowded housing
8.3%
in the top 6.2% nationally
Lower is healthier
ST89thUS94thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Lead in tap water
6.8 ppb
in the top 6.3% nationally
Lower is healthier
US94thDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
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 ›Binge drinking
20%
in the top 6.2% nationally
Lower is healthier
ST92ndUS94thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Fine-particle (PM2.5) exceedance
1.4%
in the top 6.6% nationally
Lower is healthier
ST95thUS93rdDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Walkability
2.1 intersections/sq mi
in the bottom 7.8% nationally
Higher is healthier
ST58thUS8thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Loneliness
28.2%
in the bottom 8.4% nationally
Lower is healthier
ST50thUS8thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Outer-floodplain exposure
3.4%
in the top 10.0% nationally
Lower is healthier
ST70thUS90thDefinition & 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 ›Mammography
80.6%
in the top 8.3% nationally
Higher is healthier
ST95thUS92ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›The read
In its overall standing, Elkton, South Dakota (ZIP 57026) lands in the top 21% healthiest ZIPs nationally (6,765th) and the top 16% of South Dakota (56th).
This area's most favorable readings come through plainly in the numbers: distance to a Superfund site lies in the top 5.1% nationally, modeled loneliness stands in the bottom 8.4% nationally, and fiber broadband rests in the top 10.4% nationally. On the other side, modeled radon registers in the top 6.9% nationally, crowded housing resides in the top 6.2% nationally, and lead in tap water settles in the top 6.3% nationally. Modeled binge drinking is in the top 6.2% nationally, and fine-particle sits in the top 6.6% nationally. Walkability lands in the bottom 7.8% nationally, and outer-floodplain exposure lies in the top 10.0% nationally.
Against the wider neighborhood, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. Put simply, radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. On the overall standing, ZIP 57017, about 6.3 miles away, ranks healthier.
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.
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 77%
21%
Preventive Care
healthier than 65%
13%
Risk Behavior
healthier than 64%
11%
Mental Health
healthier than 78%
8%
Disability
healthier than 77%
7%
Climate / Disaster Risk
healthier than 70%
5%
Holding it back
Social Need / SDOH
healthier than 36%
16%
Environmental Hazard
healthier than 39%
14%
Healthcare Access
healthier than 26%
5%
Lifting this score
Chronic Disease Burden
healthier than 86%
21%
Disability
healthier than 84%
7%
Climate / Disaster Risk
healthier than 62%
5%
Healthcare Access
healthier than 72%
5%
About typical
Social Need / SDOH
healthier than 46%
16%
Environmental Hazard
healthier than 56%
14%
Preventive Care
healthier than 46%
13%
Risk Behavior
healthier than 43%
11%
Mental Health
healthier than 40%
8%
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
56136
Minnesotashares a border
Score 54.42
Closest healthier
57017
South Dakotaabout 6.3 mi away
Score 60.20
Similar health profile
57353
South Dakota98% similar profile
Score 56.19
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 | 23.7% | 21.7–26.0 |
| High blood pressure among adults | 30.9% | 28.4–33.7 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 8.2–9.7 |
| Current asthma among adults | 9.6% | 8.6–10.7 |
| Coronary heart disease among adults | 6.2% | 5.6–6.8 |
| Chronic obstructive pulmonary disease among adults | 6.1% | 5.3–7.0 |
| Depression among adults | 21.7% | 19.3–24.4 |
| Diagnosed diabetes among adults | 10.8% | 9.6–12.2 |
| High cholesterol among adults who have ever been screened | 33.2% | 30.6–36.1 |
| Obesity among adults | 39.0% | 35.0–43.5 |
| Stroke among adults | 3.1% | 2.8–3.4 |
| All teeth lost among adults aged >=65 years | 11.1% | 9.4–12.8 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.4% | 7.7–11.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.2% | 73.8–78.5 |
| Visits to doctor for routine checkup within the past year among adults | 75.8% | 73.2–78.4 |
| Cholesterol screening among adults | 85.3% | 83.5–87.0 |
| Colorectal cancer screening among adults aged 45–75 years | 70.5% | 67.5–73.2 |
| Visited dentist or dental clinic in the past year among adults | 69.2% | 66.8–71.4 |
| Mammography use among women aged 50-74 years | 80.6% | 76.5–84.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.0% | 17.7–22.6 |
| Current cigarette smoking among adults | 13.4% | 11.3–15.5 |
| No leisure-time physical activity among adults | 21.5% | 18.6–24.7 |
| Short sleep duration among adults | 30.6% | 27.6–33.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.8% | 13.9–18.0 |
| Frequent mental distress among adults | 14.4% | 12.8–16.1 |
| Frequent physical distress among adults | 11.7% | 10.4–13.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.9% | 11.4–14.6 |
| Any disability among adults | 26.8% | 23.8–30.0 |
| Hearing disability among adults | 7.4% | 6.7–8.2 |
| Independent living disability among adults | 6.9% | 6.0–7.8 |
| Mobility disability among adults | 11.0% | 9.6–12.5 |
| Self-care disability among adults | 3.2% | 2.9–3.6 |
| Vision disability among adults | 4.1% | 3.7–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.9% | 18.0–24.0 |
| Food insecurity in the past 12 months among adults | 11.7% | 9.3–14.4 |
| Received food stamps in the past 12 months among adults | 9.0% | 7.0–11.4 |
| Housing insecurity in the past 12 months among adults | 8.9% | 7.3–10.6 |
| Lack of reliable transportation in the past 12 months among adults | 7.1% | 6.0–8.3 |
| Loneliness among adults | 28.2% | 24.4–32.3 |
| Utility services shut-off threat in the past 12 months among adults | 5.9% | 5.0–6.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SD median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.2% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (1.1–33.5%) n=364 |
| Uninsured 18–64 | 15.1% | 9.0% (1.5–24.3%) n=32,286 | 9.6% (0.0–33.2%) n=365 |
| No HS diploma (25+) | 12.7% | 7.9% (1.8–20.7%) n=32,505 | 6.0% (0.8–15.3%) n=366 |
| Bachelor's or higher (25+) | 23.5% | 23.3% (9.2–53.6%) n=32,505 | 24.6% (10.3–40.7%) n=366 |
| Unemployment rate (16+) | 2.2% | 3.9% (0.0–9.8%) n=32,274 | 1.1% (0.0–8.0%) n=365 |
| Households without a vehicle | 3.0% | 3.9% (0.0–12.5%) n=32,322 | 1.9% (0.0–9.6%) n=364 |
| Broadband subscription | 83.5% | 89.3% (75.1–97.1%) n=32,322 | 87.9% (73.7–96.3%) n=364 |
| Housing cost burden (≥30% income) | 27.0% | 23.7% (10.6–40.0%) n=32,322 | 17.5% (5.2–30.6%) n=364 |
| Homeownership rate | 67.7% | 78.7% (51.7–94.0%) n=32,322 | 79.9% (57.2–94.8%) n=364 |
| Crowded housing (>1 per room) | 8.3% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–10.2%) n=364 |
| Foreign-born population | 12.0% | 2.6% (0.0–18.6%) n=32,553 | 0.6% (0.0–5.3%) n=367 |
| Single-parent households | 57.0% | 53.6% (37.3–74.1%) n=32,087 | 56.7% (32.7–81.4%) n=362 |
| Population 65+ | 10.8% | 19.4% (10.8–33.6%) n=32,553 | 20.3% (8.4–33.0%) n=367 |
| Median age | 34.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (27.6–56.7) n=365 |
| Median household income | $80,568 | $72,070 ($46,039–$118,707) n=30,318 | $74,865 ($51,211–$102,582) n=336 |
| Median home value | $213,200 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($79,000–$321,400) n=311 |
| Median gross rent | $1,017 | $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 ± 0.87 | 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 0.87 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