ZIP code
57013
in Canton, South DakotaPopulation 4,504
55.91/ 100
Ranked #8,374 of 32,066 US ZIPs (top 26%)
Ranked #101 of 360 South Dakota ZIPs (top 28%)
Ranked #31 of 47 Sioux Falls, SD-MN ZIPs (bottom 34%)
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
4.5 pCi/L
in the top 0.8% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Mental-health provider access
0.45 per 1,000 residents
in the top 1.1% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The number of mental-health clinics 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 ›Short sleep
27.7%
in the bottom 2.5% nationally
Lower is healthier
ST10thUS2ndDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Outpatient-care access
0.67 per 1,000 residents
in the top 4.3% nationally
Higher is healthier
ST94thUS96thDefinition & source ›
The number of outpatient clinics 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 ›Lithium in drinking water
78 µg/L
in the top 4.7% nationally
Lower is healthier
ST91stUS95thDefinition & 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 ›Elder-services access
0.22 per 1,000 residents
in the top 6.3% nationally
Higher is healthier
ST82ndUS94thDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Pharmacy access
0.45 per 1,000 residents
in the top 6.5% nationally
Higher is healthier
ST84thUS94thDefinition & source ›
The number of pharmacies 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 ›Fine-particle (PM2.5) exceedance
0.88%
in the top 10.0% nationally
Lower is healthier
ST61stUS90thDefinition & 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 ›Arsenic in groundwater
8.1%
in the top 22% nationally
Lower is healthier
ST96thUS78thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›The read
Canton, South Dakota (ZIP 57013), by its composite score, sits in the top 26% healthiest ZIPs nationally (8,374th) and the top 28% of South Dakota (101st).
The measures fall on both sides for this area, fairly evenly: mental-health providers lands in the top 1.1% nationally, and modeled short sleep stands in the bottom 2.5% nationally. Outpatient registers in the top 4.3% nationally. Distance to an emergency room settles at the national minimum, shared with about 11% of ZIPs. Elder services sits in the top 6.3% nationally, and pharmacy lies in the top 6.5% nationally. Distance to a nursing home rests at the national minimum, shared with about 27% of ZIPs. Pulling the other way, modeled radon resides in the top 0.8% nationally, lithium in drinking water is in the top 4.7% nationally, and modeled fine-particle lands in the top 10.0% nationally.
For anyone unfamiliar, 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. For a healthier comparison close by, see ZIP 57004, 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. 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
Social Need / SDOH
healthier than 74%
16%
Preventive Care
healthier than 73%
13%
Risk Behavior
healthier than 71%
11%
Mental Health
healthier than 82%
8%
About typical
Chronic Disease Burden
healthier than 57%
21%
Disability
healthier than 59%
7%
Climate / Disaster Risk
healthier than 57%
5%
Holding it back
Environmental Hazard
healthier than 20%
14%
Healthcare Access
healthier than 32%
5%
Lifting this score
Social Need / SDOH
healthier than 90%
16%
Preventive Care
healthier than 63%
13%
Risk Behavior
healthier than 63%
11%
Healthcare Access
healthier than 78%
5%
About typical
Chronic Disease Burden
healthier than 49%
21%
Mental Health
healthier than 52%
8%
Disability
healthier than 50%
7%
Climate / Disaster Risk
healthier than 44%
5%
Holding it back
Environmental Hazard
healthier than 9%
14%
Lifting this score
Social Need / SDOH
healthier than 67%
16%
Preventive Care
healthier than 67%
13%
Healthcare Access
healthier than 61%
5%
About typical
Risk Behavior
healthier than 44%
11%
Mental Health
healthier than 58%
8%
Climate / Disaster Risk
healthier than 53%
5%
Holding it back
Chronic Disease Burden
healthier than 14%
21%
Environmental Hazard
healthier than 19%
14%
Disability
healthier than 17%
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
51240
Iowashares a border
Score 55.29
Closest healthier
57004
South Dakotashares a border
Score 56.55
Similar health profile
11797
New York98% similar profile
Score 71.24
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 | 27.4% | 24.4–30.1 |
| High blood pressure among adults | 35.0% | 31.6–38.3 |
| Cancer (non-skin) or melanoma among adults | 10.1% | 9.1–11.1 |
| Current asthma among adults | 10.1% | 8.9–11.3 |
| Coronary heart disease among adults | 7.2% | 6.3–8.0 |
| Chronic obstructive pulmonary disease among adults | 7.4% | 6.3–8.6 |
| Depression among adults | 20.3% | 17.5–23.2 |
| Diagnosed diabetes among adults | 11.8% | 10.2–13.5 |
| High cholesterol among adults who have ever been screened | 35.0% | 31.7–38.3 |
| Obesity among adults | 38.1% | 33.2–43.0 |
| Stroke among adults | 3.7% | 3.3–4.1 |
| All teeth lost among adults aged >=65 years | 16.3% | 13.6–19.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.2% | 6.6–10.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.6% | 75.7–81.2 |
| Visits to doctor for routine checkup within the past year among adults | 78.5% | 75.4–81.3 |
| Cholesterol screening among adults | 85.6% | 83.5–87.6 |
| Colorectal cancer screening among adults aged 45–75 years | 67.6% | 63.9–71.0 |
| Visited dentist or dental clinic in the past year among adults | 70.9% | 68.0–73.6 |
| Mammography use among women aged 50-74 years | 79.9% | 74.7–84.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.2% | 15.5–20.9 |
| Current cigarette smoking among adults | 16.0% | 13.2–18.5 |
| No leisure-time physical activity among adults | 23.2% | 19.6–27.1 |
| Short sleep duration among adults | 27.7% | 24.3–31.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.9% | 14.3–19.5 |
| Frequent mental distress among adults | 14.8% | 12.9–16.6 |
| Frequent physical distress among adults | 12.6% | 10.9–14.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.7% | 11.8–15.6 |
| Any disability among adults | 30.2% | 26.4–34.0 |
| Hearing disability among adults | 8.8% | 7.7–9.9 |
| Independent living disability among adults | 7.7% | 6.6–8.8 |
| Mobility disability among adults | 13.4% | 11.5–15.5 |
| Self-care disability among adults | 3.7% | 3.2–4.2 |
| Vision disability among adults | 4.6% | 4.0–5.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SD median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.8% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (1.1–33.5%) n=364 |
| Uninsured 18–64 | 13.5% | 9.0% (1.5–24.3%) n=32,286 | 9.6% (0.0–33.2%) n=365 |
| No HS diploma (25+) | 8.2% | 7.9% (1.8–20.7%) n=32,505 | 6.0% (0.8–15.3%) n=366 |
| Bachelor's or higher (25+) | 19.0% | 23.3% (9.2–53.6%) n=32,505 | 24.6% (10.3–40.7%) n=366 |
| Unemployment rate (16+) | 4.4% | 3.9% (0.0–9.8%) n=32,274 | 1.1% (0.0–8.0%) n=365 |
| Households without a vehicle | 0.9% | 3.9% (0.0–12.5%) n=32,322 | 1.9% (0.0–9.6%) n=364 |
| Broadband subscription | 89.0% | 89.3% (75.1–97.1%) n=32,322 | 87.9% (73.7–96.3%) n=364 |
| Housing cost burden (≥30% income) | 22.4% | 23.7% (10.6–40.0%) n=32,322 | 17.5% (5.2–30.6%) n=364 |
| Homeownership rate | 74.8% | 78.7% (51.7–94.0%) n=32,322 | 79.9% (57.2–94.8%) n=364 |
| Crowded housing (>1 per room) | 2.5% | 1.3% (0.0–6.3%) n=32,322 | 0.6% (0.0–10.2%) n=364 |
| Foreign-born population | 2.5% | 2.6% (0.0–18.6%) n=32,553 | 0.6% (0.0–5.3%) n=367 |
| Single-parent households | 59.1% | 53.6% (37.3–74.1%) n=32,087 | 56.7% (32.7–81.4%) n=362 |
| Population 65+ | 25.4% | 19.4% (10.8–33.6%) n=32,553 | 20.3% (8.4–33.0%) n=367 |
| Median age | 44.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (27.6–56.7) n=365 |
| Median household income | $76,458 | $72,070 ($46,039–$118,707) n=30,318 | $74,865 ($51,211–$102,582) n=336 |
| Median home value | $226,000 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($79,000–$321,400) n=311 |
| Median gross rent | $688 | $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 | 79.0 yr ± 1.02 | 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 1.02 years of 79.0, 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