ZIP code
57567
in Philip, South DakotaPopulation 1,056
50.98/ 100
Ranked #14,869 of 32,066 US ZIPs (top 46%)
Ranked #253 of 360 South Dakota ZIPs (bottom 30%)
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.
Walkability
0.49 intersections/sq mi
in the bottom 1.1% nationally
Higher is healthier
ST10thUS1stDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Distance to a hazardous-chemical facility
38.5 mi
in the top 1.3% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Elder-services access
0.73 per 1,000 residents
in the top 1.4% nationally
Higher is healthier
ST93rdUS99thDefinition & 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 ›Fatal road crashes
66.3 per 100,000 residents per year
in the top 1.7% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Pharmacy access
0.73 per 1,000 residents
in the top 2.2% nationally
Higher is healthier
ST95thUS98thDefinition & 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 ›Air-toxics cancer risk
10 per million
in the bottom 2.8% nationally
Lower is healthier
ST1stUS3rdDefinition & 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 ›Distance to a community health center
34.1 mi
in the top 3.2% nationally
Lower is healthier
ST84thUS97thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Short sleep
27.8%
in the bottom 2.7% nationally
Lower is healthier
ST12thUS3rdDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Slow internet speeds
1.8%
in the top 6.4% nationally
Lower is healthier
ST85thUS94thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Fiber broadband
98.2%
in the top 6.4% nationally
Higher is healthier
ST56thUS94thDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›The read
On the composite measure, Philip, South Dakota (ZIP 57567) stands in the top 46% healthiest ZIPs nationally (14,869th) and the bottom 30% of South Dakota (253rd), based on limited data; treat as directional.
A balanced set of signals defines this area, not any single one: distance to a hazardous-chemical facility sits in the top 1.3% nationally, and elder services resides in the top 1.4% nationally. Pharmacy stands in the top 2.2% nationally, and modeled air-toxics cancer risk sits in the bottom 2.8% nationally. Modeled short sleep resides in the bottom 2.7% nationally. Distance to an emergency room stands at the national minimum, shared with about 11% of ZIPs. By contrast, walkability sits in the bottom 1.1% nationally, fatal road crashes resides in the top 1.7% nationally, and distance to a community health center stands in the top 3.2% nationally. Slow internet speeds sits in the top 6.4% nationally.
For clarity, distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. ZIP 57552, just across the boundary, ranks better overall among the ZIPs nearby.
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 94%
14%
Risk Behavior
healthier than 70%
11%
Mental Health
healthier than 84%
8%
About typical
Chronic Disease Burden
healthier than 41%
21%
Preventive Care
healthier than 57%
13%
Disability
healthier than 41%
7%
Climate / Disaster RiskPartial
healthier than 45%
5%
Holding it back
Social Need / SDOH
healthier than 12%
16%
Healthcare Access
healthier than 4%
5%
Lifting this score
Environmental Hazard
healthier than 96%
14%
Risk Behavior
healthier than 61%
11%
Mental Health
healthier than 62%
8%
Holding it back
Chronic Disease Burden
healthier than 28%
21%
Social Need / SDOH
healthier than 12%
16%
Preventive Care
healthier than 36%
13%
Disability
healthier than 20%
7%
Climate / Disaster RiskPartial
healthier than 25%
5%
Healthcare Access
healthier than 25%
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
57521
South Dakotashares a border
Score 34.27
Closest healthier
57552
South Dakotashares a border
Score 53.37
Similar health profile
69121
Nebraska96% similar profile
Score 52.88
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 | 30.3% | 26.9–33.8 |
| High blood pressure among adults | 37.6% | 33.4–41.6 |
| Cancer (non-skin) or melanoma among adults | 11.3% | 10.3–12.4 |
| Current asthma among adults | 10.1% | 8.9–11.4 |
| Coronary heart disease among adults | 8.9% | 7.9–10.0 |
| Chronic obstructive pulmonary disease among adults | 8.6% | 7.4–9.9 |
| Depression among adults | 19.9% | 16.8–23.2 |
| Diagnosed diabetes among adults | 13.4% | 11.6–15.4 |
| High cholesterol among adults who have ever been screened | 37.4% | 33.1–41.5 |
| Obesity among adults | 33.8% | 26.5–41.5 |
| Stroke among adults | 4.4% | 3.9–4.9 |
| All teeth lost among adults aged >=65 years | 14.2% | 11.7–17.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.5% | 7.0–10.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.0% | 77.2–82.4 |
| Visits to doctor for routine checkup within the past year among adults | 77.2% | 73.5–80.5 |
| Cholesterol screening among adults | 86.1% | 84.2–87.9 |
| Colorectal cancer screening among adults aged 45–75 years | 66.0% | 60.8–70.4 |
| Visited dentist or dental clinic in the past year among adults | 65.5% | 61.8–68.9 |
| Mammography use among women aged 50-74 years | 76.7% | 69.0–82.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.5% | 13.7–19.5 |
| Current cigarette smoking among adults | 16.4% | 13.8–18.8 |
| No leisure-time physical activity among adults | 27.0% | 22.5–31.6 |
| Short sleep duration among adults | 27.8% | 22.2–33.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.9% | 16.2–21.8 |
| Frequent mental distress among adults | 14.7% | 12.9–16.4 |
| Frequent physical distress among adults | 13.9% | 12.1–15.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.7% | 12.0–15.5 |
| Any disability among adults | 32.7% | 28.3–37.1 |
| Hearing disability among adults | 10.5% | 9.4–11.8 |
| Independent living disability among adults | 8.6% | 7.5–9.7 |
| Mobility disability among adults | 15.8% | 13.5–18.2 |
| Self-care disability among adults | 4.2% | 3.7–4.8 |
| Vision disability among adults | 5.3% | 4.7–6.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | SD median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.3% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (1.1–33.5%) n=364 |
| Uninsured 18–64 | 10.4% | 9.0% (1.5–24.3%) n=32,286 | 9.6% (0.0–33.2%) n=365 |
| No HS diploma (25+) | 3.2% | 7.9% (1.8–20.7%) n=32,505 | 6.0% (0.8–15.3%) n=366 |
| Bachelor's or higher (25+) | 15.7% | 23.3% (9.2–53.6%) n=32,505 | 24.6% (10.3–40.7%) n=366 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 1.1% (0.0–8.0%) n=365 |
| Households without a vehicle | 5.2% | 3.9% (0.0–12.5%) n=32,322 | 1.9% (0.0–9.6%) n=364 |
| Broadband subscription | 73.9% | 89.3% (75.1–97.1%) n=32,322 | 87.9% (73.7–96.3%) n=364 |
| Housing cost burden (≥30% income) | 14.8% | 23.7% (10.6–40.0%) n=32,322 | 17.5% (5.2–30.6%) n=364 |
| Homeownership rate | 77.6% | 78.7% (51.7–94.0%) n=32,322 | 79.9% (57.2–94.8%) n=364 |
| Crowded housing (>1 per room) | 1.6% | 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 | 64.5% | 53.6% (37.3–74.1%) n=32,087 | 56.7% (32.7–81.4%) n=362 |
| Population 65+ | 28.7% | 19.4% (10.8–33.6%) n=32,553 | 20.3% (8.4–33.0%) n=367 |
| Median age | 52.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.5 yr (27.6–56.7) n=365 |
| Median household income | $59,410 | $72,070 ($46,039–$118,707) n=30,318 | $74,865 ($51,211–$102,582) n=336 |
| Median home value | $191,500 | $222,200 ($100,300–$579,820) n=30,049 | $177,400 ($79,000–$321,400) n=311 |
| Median gross rent | $642 | $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 | 82.8 yr ± 1.37 | 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 1.37 years of 82.8, 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