ZIP code
57451
in Ipswich, South DakotaPopulation 2,485
57.25/ 100
Ranked #7,012 of 32,066 US ZIPs (top 22%)
Ranked #65 of 360 South Dakota ZIPs (top 18%)
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.
Distance to a Superfund site
166.3 mi
in the top 1.5% nationally
Higher is healthier
ST93rdUS99thDefinition & 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 ›Grocery access
0.42 per 1,000 residents
in the top 2.2% nationally
Higher is healthier
ST96thUS98thDefinition & source ›
The number of full supermarkets inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Child-care access
0.84 per 1,000 residents
in the top 3.4% nationally
Higher is healthier
ST86thUS97thDefinition & source ›
The number of child day-care services inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Walkability
1.3 intersections/sq mi
in the bottom 3.9% nationally
Higher is healthier
ST32ndUS4thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Slow internet speeds
2.4%
in the top 4.8% nationally
Lower is healthier
ST89thUS95thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Short sleep
29.4%
in the bottom 7.1% nationally
Lower is healthier
ST46thUS7thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Fine-particle (PM2.5) exceedance
1.1%
in the top 8.0% nationally
Lower is healthier
ST78thUS92ndDefinition & 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 ›Dental provider access
0.84 per 1,000 residents
in the top 9.9% nationally
Higher is healthier
ST93rdUS90thDefinition & source ›
The number of dental offices located inside this ZIP’s boundary, per 1,000 residents.
Counted from establishments located inside this ZIP’s boundary, so one just across the line is not counted. Where a ZIP has too few residents for the density to be reliable, no value is published rather than an unreliable one.
Full methodology ›Home broadband subscription
97.1%
in the top 9.9% nationally
Higher is healthier
ST91stUS90thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›The read
On balance, and by the composite measure, Ipswich, South Dakota (ZIP 57451) ranks in the top 22% healthiest ZIPs nationally (7,012th) and the top 18% of South Dakota (65th), based on limited data; treat as directional.
Neither strongly one way nor the other, the measures sit mixed: distance to a Superfund site rests in the top 1.5% nationally, and grocery is in the top 2.2% nationally. Childcare stands in the top 3.4% nationally, and modeled short sleep settles in the bottom 7.1% nationally. Dental providers lies in the top 9.9% nationally, and home broadband subscription resides in the top 9.9% nationally. Against that, walkability lands in the bottom 3.9% nationally, slow internet speeds registers in the top 4.8% nationally, and modeled fine-particle sits in the top 8.0% nationally. Modeled radon rests in the top 11.8% nationally.
In plainer terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. For a healthier nearby ZIP overall, look to ZIP 57401, 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.
Lifting this score
Social Need / SDOH
healthier than 64%
16%
Environmental Hazard
healthier than 60%
14%
Preventive Care
healthier than 72%
13%
Risk Behavior
healthier than 74%
11%
Mental Health
healthier than 85%
8%
Disability
healthier than 66%
7%
Climate / Disaster RiskPartial
healthier than 61%
5%
About typical
Chronic Disease Burden
healthier than 59%
21%
Holding it back
Healthcare Access
healthier than 20%
5%
Lifting this score
Social Need / SDOH
healthier than 81%
16%
Environmental Hazard
healthier than 82%
14%
Risk Behavior
healthier than 74%
11%
Mental Health
healthier than 65%
8%
Disability
healthier than 63%
7%
Healthcare Access
healthier than 63%
5%
About typical
Chronic Disease Burden
healthier than 54%
21%
Preventive Care
healthier than 59%
13%
Climate / Disaster RiskPartial
healthier than 51%
5%
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
57401
South Dakotashares a border
Score 57.76
Closest healthier
57479
South Dakotaabout 5.6 mi away
Score 59.57
Similar health profile
11975
New York99% similar profile
Score 67.04
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 | 28.6% | 25.3–32.2 |
| High blood pressure among adults | 34.8% | 30.7–39.1 |
| Cancer (non-skin) or melanoma among adults | 10.6% | 9.6–11.7 |
| Current asthma among adults | 10.1% | 8.8–11.4 |
| Coronary heart disease among adults | 7.5% | 6.6–8.4 |
| Chronic obstructive pulmonary disease among adults | 7.1% | 6.2–8.2 |
| Depression among adults | 20.2% | 17.0–23.9 |
| Diagnosed diabetes among adults | 11.7% | 10.0–13.6 |
| High cholesterol among adults who have ever been screened | 36.2% | 31.9–40.8 |
| Obesity among adults | 33.7% | 26.3–42.1 |
| Stroke among adults | 3.7% | 3.3–4.1 |
| All teeth lost among adults aged >=65 years | 13.3% | 10.8–16.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.4% | 6.0–9.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.7% | 75.5–81.6 |
| Visits to doctor for routine checkup within the past year among adults | 77.7% | 73.9–81.4 |
| Cholesterol screening among adults | 87.0% | 85.1–88.7 |
| Colorectal cancer screening among adults aged 45–75 years | 67.9% | 63.0–72.6 |
| Visited dentist or dental clinic in the past year among adults | 70.0% | 66.6–73.2 |
| Mammography use among women aged 50-74 years | 77.8% | 70.5–83.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.9% | 14.8–21.5 |
| Current cigarette smoking among adults | 14.4% | 12.1–16.9 |
| No leisure-time physical activity among adults | 22.2% | 18.3–26.7 |
| Short sleep duration among adults | 29.4% | 23.5–35.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.3% | 14.0–19.0 |
| Frequent mental distress among adults | 14.3% | 12.5–16.4 |
| Frequent physical distress among adults | 12.5% | 10.9–14.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.7% | 11.0–14.5 |
| Any disability among adults | 29.7% | 25.6–34.3 |
| Hearing disability among adults | 8.8% | 7.7–9.9 |
| Independent living disability among adults | 7.4% | 6.4–8.4 |
| Mobility disability among adults | 13.1% | 11.2–15.3 |
| Self-care disability among adults | 3.5% | 3.1–4.0 |
| Vision disability among adults | 4.3% | 3.8–4.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SD median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.4% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (1.1–33.5%) n=364 |
| Uninsured 18–64 | 5.3% | 9.0% (1.5–24.3%) n=32,286 | 9.6% (0.0–33.2%) n=365 |
| No HS diploma (25+) | 9.7% | 7.9% (1.8–20.7%) n=32,505 | 6.0% (0.8–15.3%) n=366 |
| Bachelor's or higher (25+) | 31.4% | 23.3% (9.2–53.6%) n=32,505 | 24.6% (10.3–40.7%) n=366 |
| Unemployment rate (16+) | 0.8% | 3.9% (0.0–9.8%) n=32,274 | 1.1% (0.0–8.0%) n=365 |
| Households without a vehicle | 0.7% | 3.9% (0.0–12.5%) n=32,322 | 1.9% (0.0–9.6%) n=364 |
| Broadband subscription | 97.1% | 89.3% (75.1–97.1%) n=32,322 | 87.9% (73.7–96.3%) n=364 |
| Housing cost burden (≥30% income) | 15.4% | 23.7% (10.6–40.0%) n=32,322 | 17.5% (5.2–30.6%) n=364 |
| Homeownership rate | 79.0% | 78.7% (51.7–94.0%) n=32,322 | 79.9% (57.2–94.8%) n=364 |
| Crowded housing (>1 per room) | 0.3% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–10.2%) n=364 |
| Foreign-born population | 2.1% | 2.6% (0.0–18.6%) n=32,553 | 0.6% (0.0–5.3%) n=367 |
| Single-parent households | 64.1% | 53.6% (37.3–74.1%) n=32,087 | 56.7% (32.7–81.4%) n=362 |
| Population 65+ | 20.2% | 19.4% (10.8–33.6%) n=32,553 | 20.3% (8.4–33.0%) n=367 |
| Median age | 41.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (27.6–56.7) n=365 |
| Median household income | $86,000 | $72,070 ($46,039–$118,707) n=30,318 | $74,865 ($51,211–$102,582) n=336 |
| Median home value | $195,700 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($79,000–$321,400) n=311 |
| Median gross rent | $1,213 | $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 | 83.5 yr ± 2.33 | 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 2.33 years of 83.5, 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