ZIP code
47579
in Santa Claus, IndianaPopulation 2,883
53.19/ 100
Ranked #11,801 of 32,066 US ZIPs (top 37%)
Ranked #134 of 757 Indiana 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.
Industrial-pollution burden
in the top 0.4% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Fiber broadband
97.7%
in the top 7.3% nationally
Higher is healthier
ST93rdUS93rdDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Distance to an emergency room
16.2 mi
in the top 9.3% nationally
Lower is healthier
ST98thUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Natural-disaster risk
in the bottom 9.8% nationally
Lower is healthier
ST20thUS10thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Fatal road crashes
3.5 per 100,000 residents per year
in the bottom 12.6% nationally
Lower is healthier
ST5thUS13thDefinition & 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 ›Dental provider access
0.74 per 1,000 residents
in the top 12.8% nationally
Higher is healthier
ST92ndUS87thDefinition & 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 ›Lack of transportation
5.6%
in the bottom 15% nationally
Lower is healthier
ST8thUS15thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Transportation noise
0.52%
in the bottom 16% nationally
Lower is healthier
ST7thUS16thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Food insecurity
9.8%
in the bottom 19% nationally
Lower is healthier
ST8thUS19thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Vision disability
3.9%
in the bottom 18% nationally
Lower is healthier
ST10thUS18thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›The read
Santa Claus, Indiana (ZIP 47579), by its composite score, sits in the top 37% healthiest ZIPs nationally (11,801st) and the top 18% of Indiana (134th).
The data opens on a genuinely even set of readings: fiber broadband resides in the top 7.3% nationally, and modeled disaster risk is in the bottom 9.8% nationally. Poverty lands in the bottom 12.2% nationally, and fatal road crashes stands in the bottom 12.6% nationally. Dental providers registers in the top 12.8% nationally, modeled transportation settles in the bottom 15% nationally, and modeled transportation noise sits in the bottom 16% nationally. Homeownership lies in the top 16% nationally. On the other side, modeled industrial-pollution burden rests in the top 0.4% nationally, and distance to an emergency room resides in the top 9.3% nationally.
Next to the surrounding area, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. For a healthier comparison close by, see ZIP 47532, 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 85%
16%
Preventive Care
healthier than 79%
13%
Risk Behavior
healthier than 69%
11%
Disability
healthier than 74%
7%
About typical
Chronic Disease Burden
healthier than 45%
21%
Climate / Disaster Risk
healthier than 43%
5%
Holding it back
Environmental Hazard
healthier than 14%
14%
Mental Health
healthier than 35%
8%
Healthcare Access
healthier than 39%
5%
Lifting this score
Chronic Disease Burden
healthier than 68%
21%
Social Need / SDOH
healthier than 92%
16%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 91%
11%
Mental Health
healthier than 74%
8%
Disability
healthier than 87%
7%
Holding it back
Environmental Hazard
healthier than 18%
14%
Climate / Disaster Risk
healthier than 23%
5%
Healthcare Access
healthier than 35%
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
47523
Indianashares a border
Score 49.73
Closest healthier
47532
Indianashares a border
Score 55.01
Similar health profile
47396
Indiana96% similar profile
Score 54.50
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 | 30.9% | 27.4–34.6 |
| High blood pressure among adults | 39.4% | 35.0–43.9 |
| Cancer (non-skin) or melanoma among adults | 9.9% | 8.9–10.9 |
| Current asthma among adults | 11.0% | 9.7–12.4 |
| Coronary heart disease among adults | 6.8% | 5.9–7.8 |
| Chronic obstructive pulmonary disease among adults | 7.7% | 6.4–9.0 |
| Depression among adults | 26.0% | 22.4–30.0 |
| Diagnosed diabetes among adults | 12.5% | 10.6–14.5 |
| High cholesterol among adults who have ever been screened | 40.4% | 36.0–45.0 |
| Obesity among adults | 39.2% | 31.2–48.1 |
| Stroke among adults | 3.3% | 2.9–3.7 |
| All teeth lost among adults aged >=65 years | 11.8% | 9.6–14.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.0% | 4.8–7.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.1% | 76.0–81.6 |
| Visits to doctor for routine checkup within the past year among adults | 81.3% | 78.0–84.2 |
| Cholesterol screening among adults | 88.7% | 86.9–90.3 |
| Colorectal cancer screening among adults aged 45–75 years | 68.1% | 63.2–72.8 |
| Visited dentist or dental clinic in the past year among adults | 63.0% | 59.3–66.7 |
| Mammography use among women aged 50-74 years | 77.0% | 69.4–83.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.0% | 13.2–19.3 |
| Current cigarette smoking among adults | 14.5% | 11.9–17.5 |
| No leisure-time physical activity among adults | 21.8% | 17.7–26.4 |
| Short sleep duration among adults | 34.4% | 27.9–41.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.8% | 15.1–20.8 |
| Frequent mental distress among adults | 16.4% | 14.4–18.7 |
| Frequent physical distress among adults | 13.4% | 11.6–15.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.0% | 11.3–14.9 |
| Any disability among adults | 29.3% | 25.0–34.0 |
| Hearing disability among adults | 7.2% | 6.3–8.2 |
| Independent living disability among adults | 7.0% | 6.0–8.1 |
| Mobility disability among adults | 13.3% | 11.2–15.7 |
| Self-care disability among adults | 3.2% | 2.8–3.7 |
| Vision disability among adults | 3.9% | 3.4–4.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.3% | 17.2–23.9 |
| Food insecurity in the past 12 months among adults | 9.8% | 8.0–12.2 |
| Received food stamps in the past 12 months among adults | 5.4% | 4.3–6.8 |
| Housing insecurity in the past 12 months among adults | 8.2% | 6.8–9.8 |
| Lack of reliable transportation in the past 12 months among adults | 5.6% | 4.8–6.6 |
| Loneliness among adults | 30.4% | 25.7–35.5 |
| Utility services shut-off threat in the past 12 months among adults | 6.2% | 5.2–7.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | IN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.6% | 10.6% (3.1–25.8%) n=32,364 | 9.8% (3.3–23.6%) n=764 |
| Uninsured 18–64 | 3.5% | 9.0% (1.5–24.3%) n=32,286 | 8.3% (2.5–19.0%) n=761 |
| No HS diploma (25+) | 1.4% | 7.9% (1.8–20.7%) n=32,505 | 8.8% (3.0–19.3%) n=766 |
| Bachelor's or higher (25+) | 41.3% | 23.3% (9.2–53.6%) n=32,505 | 19.4% (8.1–38.5%) n=766 |
| Unemployment rate (16+) | 1.8% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–8.2%) n=760 |
| Households without a vehicle | 2.1% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–11.5%) n=764 |
| Broadband subscription | 95.3% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (76.7–95.9%) n=764 |
| Housing cost burden (≥30% income) | 19.3% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.8–33.1%) n=764 |
| Homeownership rate | 90.9% | 78.7% (51.7–94.0%) n=32,322 | 81.7% (58.9–94.5%) n=764 |
| Crowded housing (>1 per room) | 1.3% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–4.2%) n=764 |
| Foreign-born population | 0.4% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–8.8%) n=767 |
| Single-parent households | 59.3% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (40.5–69.1%) n=756 |
| Population 65+ | 23.5% | 19.4% (10.8–33.6%) n=32,553 | 18.2% (11.0–26.5%) n=767 |
| Median age | 43.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.5 yr (32.5–49.6) n=756 |
| Median household income | $87,926 | $72,070 ($46,039–$118,707) n=30,318 | $71,016 ($50,417–$99,531) n=721 |
| Median home value | $258,300 | $222,200 ($100,300–$579,820) n=30,049 | $178,250 ($109,430–$287,310) n=724 |
| Median gross rent | $1,115 | $1,021 ($677–$1,912) n=25,670 | $925 ($704–$1,261) n=640 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | IN median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 83.6 yr ± 1.18 | 78.9 yr (74.7–82.8) n=31,308 | 78.5 yr (75.1–81.5) n=754 |
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 1.18 years of 83.6, 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