ZIP code
57639
in Little Eagle, South DakotaPopulation 290
24.65/ 100
Ranked #31,504 of 32,066 US ZIPs (bottom 1.8%)
Ranked #344 of 360 South Dakota ZIPs (bottom 4.5%)
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.
Colon-cancer screening
45.3%
in the bottom 0.8% nationally
Higher is healthier
ST3rdUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Vision disability
12.7%
in the top 1.5% nationally
Lower is healthier
ST94thUS99thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Unemployment rate
55.1%
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Industrial-pollution burden
in the bottom 0.3% nationally
Lower is healthier
ST1stUS1stDefinition & 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 ›Independent-living disability
16%
in the top 1.7% nationally
Lower is healthier
ST94thUS98thDefinition & 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 ›Poverty rate
74.5%
in the top 0.6% nationally
Lower is healthier
ST98thUS99thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Cognitive disability
24.2%
in the top 1.5% nationally
Lower is healthier
ST95thUS99thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Mammography
63.7%
in the bottom 1.9% nationally
Higher is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Distance to a nursing home
38.2 mi
in the top 1.0% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Tooth loss
29.8%
in the top 3.3% nationally
Lower is healthier
ST93rdUS97thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Cross-source signals
Health need and barriers to care documented here
On our reading, this ZIP code carries the overlap at its acute level: acute means at least three of the six health-need readings and at least three of the six access barriers apply to the same place.
These are two separate readings of public data that both apply to this place — never a claim that one causes the other, never a severity score, and never a statement about any person who lives here.
Health need documented here
- People living in poverty
- Adults reporting fair or poor health
- Chronic conditions
Barriers to reaching care
- Distance to the nearest emergency room
- Distance to the nearest community health center
- Households with no vehicle
A reading appears below only where this ZIP code is among the most-affected 10% of US ZIP codes on it — one national bar, the same for every ZIP in the country.
See the full care-deserts analysis →The read
In its overall standing, Little Eagle, South Dakota (ZIP 57639) lands in the bottom 1.8% nationally (31,504th) and the bottom 4.5% of South Dakota (344th).
This area's defining measures are easy to pick out: modeled colon screening sits in the bottom 0.8% nationally, modeled vision disability lands in the top 1.5% nationally, and unemployment lies in the top 0.2% nationally. Modeled independent living disability stands in the top 1.7% nationally, poverty rests in the top 0.6% nationally, and modeled cognitive disability registers in the top 1.5% nationally. Modeled mammography resides in the bottom 1.9% nationally, and distance to a nursing home settles in the top 1.0% nationally. Modeled tooth loss is in the top 3.3% nationally. On the brighter side, modeled industrial-pollution burden sits in the bottom 0.3% nationally.
Against the wider neighborhood, unemployment runs far higher than the surrounding ZIPs on this measure. Put simply, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. On the overall standing, ZIP 57657, about 0.7 miles away, ranks healthier. In the round, the area also shows documented health need overlapping with barriers to reaching care, sitting in the most-affected 10% of US ZIP codes on several need measures and several access barriers.
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
Environmental Hazard
healthier than 87%
14%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Social Need / SDOH
healthier than 2%
16%
Preventive Care
healthier than 2%
13%
Risk Behavior
healthier than 1%
11%
Mental Health
healthier than 8%
8%
Disability
healthier than 2%
7%
Climate / Disaster Risk
healthier than 38%
5%
Healthcare Access
in the bottom 0.2%
5%
Lifting this score
Environmental Hazard
healthier than 92%
14%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
in the bottom 0.9%
16%
Preventive Care
in the bottom 0.5%
13%
Risk Behavior
healthier than 1%
11%
Mental Health
in the bottom 0.9%
8%
Disability
healthier than 1%
7%
Climate / Disaster Risk
healthier than 14%
5%
Healthcare Access
in the bottom 0.5%
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
57642
South Dakotashares a border
Score 24.07
Closest healthier
57657
South Dakotaabout 0.7 mi away
Score 32.08
Similar health profile
59255
Montana98% similar profile
Score 18.58
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 | 25.7% | 22.6–29.2 |
| High blood pressure among adults | 36.3% | 32.1–40.8 |
| Cancer (non-skin) or melanoma among adults | 5.1% | 4.5–5.7 |
| Current asthma among adults | 14.4% | 12.7–16.6 |
| Coronary heart disease among adults | 8.3% | 7.1–9.5 |
| Chronic obstructive pulmonary disease among adults | 10.4% | 8.5–12.4 |
| Depression among adults | 23.7% | 20.0–28.0 |
| Diagnosed diabetes among adults | 19.4% | 16.8–22.3 |
| High cholesterol among adults who have ever been screened | 30.8% | 27.0–35.1 |
| Obesity among adults | 45.3% | 37.7–53.3 |
| Stroke among adults | 5.3% | 4.5–6.1 |
| All teeth lost among adults aged >=65 years | 29.8% | 24.7–35.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 14.5% | 11.1–18.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 70.7% | 67.1–74.0 |
| Visits to doctor for routine checkup within the past year among adults | 72.6% | 67.9–76.9 |
| Cholesterol screening among adults | 74.8% | 70.9–78.5 |
| Colorectal cancer screening among adults aged 45–75 years | 45.3% | 40.1–50.6 |
| Visited dentist or dental clinic in the past year among adults | 47.4% | 43.8–51.2 |
| Mammography use among women aged 50-74 years | 63.7% | 54.4–72.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.4% | 14.2–21.1 |
| Current cigarette smoking among adults | 32.9% | 27.8–38.5 |
| No leisure-time physical activity among adults | 36.6% | 30.9–43.2 |
| Short sleep duration among adults | 38.5% | 32.6–44.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 33.6% | 28.9–38.9 |
| Frequent mental distress among adults | 23.3% | 20.4–26.8 |
| Frequent physical distress among adults | 20.0% | 17.3–23.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 24.2% | 20.5–28.2 |
| Any disability among adults | 46.1% | 40.5–52.4 |
| Hearing disability among adults | 11.3% | 9.8–13.0 |
| Independent living disability among adults | 16.0% | 13.4–18.8 |
| Mobility disability among adults | 21.6% | 18.4–25.3 |
| Self-care disability among adults | 7.4% | 6.1–8.8 |
| Vision disability among adults | 12.7% | 10.8–14.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SD median (p10–p90) |
|---|---|---|---|
| Poverty rate | 74.5% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (1.1–33.5%) n=364 |
| Uninsured 18–64 | 24.4% | 9.0% (1.5–24.3%) n=32,286 | 9.6% (0.0–33.2%) n=365 |
| No HS diploma (25+) | 23.1% | 7.9% (1.8–20.7%) n=32,505 | 6.0% (0.8–15.3%) n=366 |
| Bachelor's or higher (25+) | 0.0% | 23.3% (9.2–53.6%) n=32,505 | 24.6% (10.3–40.7%) n=366 |
| Unemployment rate (16+) | 55.1% | 3.9% (0.0–9.8%) n=32,274 | 1.1% (0.0–8.0%) n=365 |
| Households without a vehicle | 25.0% | 3.9% (0.0–12.5%) n=32,322 | 1.9% (0.0–9.6%) n=364 |
| Broadband subscription | 59.7% | 89.3% (75.1–97.1%) n=32,322 | 87.9% (73.7–96.3%) n=364 |
| Housing cost burden (≥30% income) | 13.9% | 23.7% (10.6–40.0%) n=32,322 | 17.5% (5.2–30.6%) n=364 |
| Homeownership rate | 11.1% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 0.6% (0.0–5.3%) n=367 |
| Single-parent households | 25.0% | 53.6% (37.3–74.1%) n=32,087 | 56.7% (32.7–81.4%) n=362 |
| Population 65+ | 5.5% | 19.4% (10.8–33.6%) n=32,553 | 20.3% (8.4–33.0%) n=367 |
| Median age | 18.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (27.6–56.7) n=365 |
| Median household income | $21,250 | $72,070 ($46,039–$118,707) n=30,318 | $74,865 ($51,211–$102,582) n=336 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($79,000–$321,400) n=311 |
| Median gross rent | $243 | $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 | 82.6 yr ± 3.12 | 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 3.12 years of 82.6, 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