ZIP code
57772
in Porcupine, South DakotaPopulation 2,493
15.20/ 100
Ranked #32,026 of 32,066 US ZIPs (bottom 0.2%)
Ranked #358 of 360 South Dakota ZIPs (bottom 0.6%)
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.
Vision disability
20.3%
in the top 0.03% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Independent-living disability
24.1%
in the top 0.03% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Tooth loss
52.8%
in the top 0.04% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Mammography
49.5%
in the bottom 0.04% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Self-care disability
12.1%
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›Energy-cost burden
9.9%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Cognitive disability
32.1%
in the top 0.07% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Colon-cancer screening
38.1%
in the bottom 0.10% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Fair or poor health
45.6%
in the top 0.06% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Crowded housing
53.4%
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Cross-source signals
Health need and barriers to care documented here
On our reading, this ZIP code carries the overlap at its severe level: severe means at least four of the six health-need readings and at least four 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 without health insurance
- 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
- Thin local supply of pharmacies
- 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
Porcupine, South Dakota (ZIP 57772), by its composite score, sits in the bottom 0.2% nationally (32,026th) and the bottom 0.6% of South Dakota (358th), based on limited data; treat as directional.
A few measures stand out on the ground and lead the picture: modeled vision disability lies in the top 0.03% nationally, and independent living disability rests in the top 0.03% nationally. Modeled tooth loss resides in the top 0.04% nationally, and mammography is in the bottom 0.04% nationally. Modeled self-care disability lands in the top 0.2% nationally, energy burden stands in the top 0.5% nationally, and cognitive disability registers in the top 0.07% nationally. Modeled colon screening settles in the bottom 0.10% nationally, modeled fair or poor health sits in the top 0.06% nationally, and crowded housing lies in the top 0.2% nationally.
Next to the surrounding area, crowded housing runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, energy burden is the share of household income that goes to home energy bills. For a healthier comparison close by, see ZIP 57716, just across the boundary. The area further 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 83%
14%
About typical
Climate / Disaster RiskPartial
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
in the bottom 0.7%
16%
Preventive Care
in the bottom 0.09%
13%
Risk Behavior
in the bottom 0.3%
11%
Mental Health
healthier than 4%
8%
Disability
in the bottom 0.08%
7%
Healthcare Access
healthier than 2%
5%
Lifting this score
Environmental Hazard
healthier than 90%
14%
Holding it back
Chronic Disease Burden
healthier than 1%
21%
Social Need / SDOH
in the bottom 0.09%
16%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
in the bottom 0.00%
8%
Disability
in the bottom 0.00%
7%
Climate / Disaster RiskPartial
healthier than 33%
5%
Healthcare Access
healthier than 17%
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
57716
South Dakotashares a border
Score 25.54
Closest healthier
57722
South Dakotashares a border
Score 39.42
Similar health profile
85542
Arizona99% similar profile
Score 17.99
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 | 27.2% | 24.5–30.2 |
| High blood pressure among adults | 40.4% | 36.9–44.5 |
| Cancer (non-skin) or melanoma among adults | 4.6% | 4.1–5.1 |
| Current asthma among adults | 15.8% | 14.1–17.7 |
| Coronary heart disease among adults | 10.7% | 9.5–11.9 |
| Chronic obstructive pulmonary disease among adults | 16.0% | 13.9–18.2 |
| Depression among adults | 25.1% | 21.8–28.9 |
| Diagnosed diabetes among adults | 23.2% | 20.9–25.9 |
| High cholesterol among adults who have ever been screened | 30.1% | 26.9–33.7 |
| Obesity among adults | 49.0% | 43.1–55.4 |
| Stroke among adults | 7.0% | 6.3–7.8 |
| All teeth lost among adults aged >=65 years | 52.8% | 47.3–58.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 23.0% | 18.8–27.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 68.4% | 65.4–71.6 |
| Visits to doctor for routine checkup within the past year among adults | 69.9% | 65.7–74.2 |
| Cholesterol screening among adults | 67.8% | 64.3–71.8 |
| Colorectal cancer screening among adults aged 45–75 years | 38.1% | 33.6–42.8 |
| Visited dentist or dental clinic in the past year among adults | 32.8% | 29.8–36.2 |
| Mammography use among women aged 50-74 years | 49.5% | 41.5–58.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.5–18.0 |
| Current cigarette smoking among adults | 45.4% | 40.4–50.4 |
| No leisure-time physical activity among adults | 44.4% | 39.0–50.3 |
| Short sleep duration among adults | 42.7% | 37.5–48.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 45.6% | 40.5–50.6 |
| Frequent mental distress among adults | 27.7% | 24.8–30.9 |
| Frequent physical distress among adults | 25.2% | 22.3–28.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 32.1% | 28.2–35.9 |
| Any disability among adults | 56.1% | 50.8–61.4 |
| Hearing disability among adults | 13.9% | 12.4–15.6 |
| Independent living disability among adults | 24.1% | 21.1–26.9 |
| Mobility disability among adults | 29.0% | 25.7–32.4 |
| Self-care disability among adults | 12.1% | 10.6–13.5 |
| Vision disability among adults | 20.3% | 18.0–22.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SD median (p10–p90) |
|---|---|---|---|
| Poverty rate | 89.5% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (1.1–33.5%) n=364 |
| Uninsured 18–64 | 73.1% | 9.0% (1.5–24.3%) n=32,286 | 9.6% (0.0–33.2%) n=365 |
| No HS diploma (25+) | 63.8% | 7.9% (1.8–20.7%) n=32,505 | 6.0% (0.8–15.3%) n=366 |
| Bachelor's or higher (25+) | 5.0% | 23.3% (9.2–53.6%) n=32,505 | 24.6% (10.3–40.7%) n=366 |
| Unemployment rate (16+) | 5.0% | 3.9% (0.0–9.8%) n=32,274 | 1.1% (0.0–8.0%) n=365 |
| Households without a vehicle | 54.6% | 3.9% (0.0–12.5%) n=32,322 | 1.9% (0.0–9.6%) n=364 |
| Broadband subscription | 78.4% | 89.3% (75.1–97.1%) n=32,322 | 87.9% (73.7–96.3%) n=364 |
| Housing cost burden (≥30% income) | 9.5% | 23.7% (10.6–40.0%) n=32,322 | 17.5% (5.2–30.6%) n=364 |
| Homeownership rate | 46.6% | 78.7% (51.7–94.0%) n=32,322 | 79.9% (57.2–94.8%) n=364 |
| Crowded housing (>1 per room) | 53.4% | 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 | 23.7% | 53.6% (37.3–74.1%) n=32,087 | 56.7% (32.7–81.4%) n=362 |
| Population 65+ | 4.7% | 19.4% (10.8–33.6%) n=32,553 | 20.3% (8.4–33.0%) n=367 |
| Median age | 28.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (27.6–56.7) n=365 |
| Median household income | $57,785 | $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 | — | $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 | 81.1 yr ± 1.22 | 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 1.22 years of 81.1, 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