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ZipVitals

ZIP code

57750

in Interior, South DakotaPopulation 365

29.47/ 100

Ranked #30,869 of 32,066 US ZIPs (bottom 3.8%)

Ranked #335 of 360 South Dakota ZIPs (bottom 7.0%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Broad coverage across health domains

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.

Energy-cost burden

8.7%

in the top 0.6% nationally

Lower is healthier

ST98th
US99th
Definition & source ›

The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.

A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.

Full methodology ›

Poverty rate

77.8%

in the top 0.5% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.

Full methodology ›

Vision disability

11.3%

in the top 2.9% nationally

Lower is healthier

ST93rd
US97th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Independent-living disability

15.0%

in the top 2.6% nationally

Lower is healthier

ST93rd
US97th
Definition & 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 ›

Home broadband subscription

47.8%

in the bottom 1.3% nationally

Higher is healthier

ST2nd
US1st
Definition & source ›

The share of households with a broadband internet subscription.

Full methodology ›

Self-care disability

7.4%

in the top 4.4% nationally

Lower is healthier

ST93rd
US96th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Hearing disability

12.5%

in the top 3.0% nationally

Lower is healthier

ST92nd
US97th
Definition & source ›

The estimated share of adults who are deaf or have serious difficulty hearing.

Full methodology ›

Households without a vehicle

29.6%

in the top 2.5% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

The share of households with no vehicle available.

Full methodology ›

Air-toxics cancer risk

10 per million

in the bottom 2.8% nationally

Lower is healthier

ST1st
US3rd
Definition & 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 ›

Stroke

5.9%

in the top 4.7% nationally

Lower is healthier

ST94th
US95th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have had a stroke.

Full methodology ›

The read

Overall, Interior, South Dakota (ZIP 57750) places in the bottom 3.8% nationally (30,869th) and the bottom 7.0% of South Dakota (335th), based on limited data; treat as directional.

continue reading

The data opens on real and measurable burdens: modeled energy burden lands in the top 0.6% nationally, and poverty stands in the top 0.5% nationally. Modeled vision disability registers in the top 2.9% nationally, and independent living disability settles in the top 2.6% nationally. Home broadband subscription sits in the bottom 1.3% nationally, modeled self-care disability lies in the top 4.4% nationally, and modeled hearing disability rests in the top 3.0% nationally. Households without a vehicle resides in the top 2.5% nationally, and modeled stroke is in the top 4.7% nationally. More encouragingly, modeled air-toxics cancer risk lands in the bottom 2.8% nationally.

For readers new to these terms, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Energy burden is the share of household income that goes to home energy bills. Among nearby ZIPs, the nearest healthier one overall is ZIP 57543, just across the boundary.

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.

Compare within

Lifting this score

Environmental Hazard

healthier than 98%

14%

About typical

Climate / Disaster RiskPartial

healthier than 48%

5%

Holding it back

Chronic Disease Burden

healthier than 11%

21%

Social Need / SDOH

in the bottom 0.3%

16%

Preventive Care

healthier than 8%

13%

Risk Behavior

healthier than 4%

11%

Mental Health

healthier than 26%

8%

Disability

healthier than 2%

7%

Healthcare Access

healthier than 7%

5%

Lifting this score

Environmental Hazard

healthier than 98%

14%

Holding it back

Chronic Disease Burden

healthier than 5%

21%

Social Need / SDOH

in the bottom 0.00%

16%

Preventive Care

healthier than 4%

13%

Risk Behavior

healthier than 5%

11%

Mental Health

healthier than 6%

8%

Disability

healthier than 3%

7%

Climate / Disaster RiskPartial

healthier than 27%

5%

Healthcare Access

healthier than 39%

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.

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
MeasureCrude prevalence95% CI
Arthritis among adults28.7%25.6–31.8
High blood pressure among adults40.3%36.1–44.3
Cancer (non-skin) or melanoma among adults8.0%7.2–8.8
Current asthma among adults13.0%11.5–14.5
Coronary heart disease among adults10.1%9.0–11.1
Chronic obstructive pulmonary disease among adults12.0%10.6–13.6
Depression among adults21.9%18.6–25.3
Diagnosed diabetes among adults18.5%16.3–20.7
High cholesterol among adults who have ever been screened35.4%31.5–39.4
Obesity among adults41.2%34.0–48.5
Stroke among adults5.9%5.3–6.5
All teeth lost among adults aged >=65 years25.7%22.0–29.6
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years14.8%12.1–17.6
Taking medicine to control high blood pressure among adults with high blood pressure75.3%72.4–78.0
Visits to doctor for routine checkup within the past year among adults74.1%69.9–78.0
Cholesterol screening among adults78.2%75.4–80.8
Colorectal cancer screening among adults aged 45–75 years60.0%55.4–64.5
Visited dentist or dental clinic in the past year among adults50.6%47.0–54.2
Mammography use among women aged 50-74 years71.1%63.8–77.8
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults16.0%13.1–19.1
Current cigarette smoking among adults29.2%25.6–33.0
No leisure-time physical activity among adults34.8%29.8–39.8
Short sleep duration among adults35.8%30.5–41.5
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults31.2%27.8–35.1
Frequent mental distress among adults20.5%18.1–22.7
Frequent physical distress among adults19.3%17.2–21.6
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults21.4%19.0–24.0
Any disability among adults42.8%38.1–47.3
Hearing disability among adults12.5%11.2–13.8
Independent living disability among adults15.0%13.3–16.8
Mobility disability among adults22.0%19.6–24.5
Self-care disability among adults7.4%6.6–8.3
Vision disability among adults11.3%10.2–12.7
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)SD median (p10–p90)
Poverty rate77.8%10.6% (3.1–25.8%) n=32,3648.8% (1.1–33.5%) n=364
Uninsured 18–6448.0%9.0% (1.5–24.3%) n=32,2869.6% (0.0–33.2%) n=365
No HS diploma (25+)23.0%7.9% (1.8–20.7%) n=32,5056.0% (0.8–15.3%) n=366
Bachelor's or higher (25+)19.7%23.3% (9.2–53.6%) n=32,50524.6% (10.3–40.7%) n=366
Unemployment rate (16+)0.0%3.9% (0.0–9.8%) n=32,2741.1% (0.0–8.0%) n=365
Households without a vehicle29.6%3.9% (0.0–12.5%) n=32,3221.9% (0.0–9.6%) n=364
Broadband subscription47.8%89.3% (75.1–97.1%) n=32,32287.9% (73.7–96.3%) n=364
Housing cost burden (≥30% income)47.8%23.7% (10.6–40.0%) n=32,32217.5% (5.2–30.6%) n=364
Homeownership rate45.2%78.7% (51.7–94.0%) n=32,32279.9% (57.2–94.8%) n=364
Crowded housing (>1 per room)5.2%1.3% (0.0–6.3%) n=32,3220.6% (0.0–10.2%) n=364
Foreign-born population0.0%2.6% (0.0–18.6%) n=32,5530.6% (0.0–5.3%) n=367
Single-parent households33.3%53.6% (37.3–74.1%) n=32,08756.7% (32.7–81.4%) n=362
Population 65+7.9%19.4% (10.8–33.6%) n=32,55320.3% (8.4–33.0%) n=367
Median age23.6 yr42.2 yr (33.0–56.3) n=32,29241.5 yr (27.6–56.7) n=365
Median household income$72,070 ($46,039–$118,707) n=30,318$74,865 ($51,211–$102,582) n=336
Median home value$175,000$222,200 ($100,300–$579,820) n=30,049$177,400 ($79,000–$321,400) n=311
Median gross rent$907$1,021 ($677–$1,912) n=25,670$763 ($544–$1,089) n=243
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)SD median (p10–p90)
Life expectancy at birth76.6 yr ± 2.9878.9 yr (74.7–82.8) n=31,30880.7 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 2.98 years of 76.6, and it’s very unlikely to be off by more than twice that.

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