ZIP code
47161
in New Salisbury, IndianaPopulation 3,611
49.96/ 100
Ranked #16,298 of 32,066 US ZIPs (bottom 49%)
Ranked #265 of 757 Indiana ZIPs (top 35%)
Ranked #47 of 114 Louisville/Jefferson County, KY-IN ZIPs (top 41%)
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.
PFAS in drinking water
68.4%
in the top 4.9% nationally
Lower is healthier
ST93rdUS95thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Fatal road crashes
44.3 per 100,000 residents per year
in the top 5.5% nationally
Lower is healthier
ST97thUS95thDefinition & 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 ›Arsenic in groundwater
1.2%
in the bottom 6.1% nationally
Lower is healthier
ST1stUS6thDefinition & 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 ›Obesity
42.8%
in the top 9.8% nationally
Lower is healthier
ST83rdUS90thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Pharmacy access
0.27 per 1,000 residents
in the top 17% nationally
Higher is healthier
ST90thUS83rdDefinition & 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 ›The read
New Salisbury, Indiana (ZIP 47161), in overall standing, comes out in the bottom 49% nationally (16,298th) and the top 35% of Indiana (265th).
An even profile, with readings pulling both ways: modeled arsenic stands in the bottom 6.1% nationally. Crowded housing resides at the national minimum, shared with about 29% of ZIPs. Modeled disaster risk sits in the bottom 16% nationally, and pharmacy stands in the top 17% nationally. Outer-floodplain exposure resides at the national minimum, shared with about 36% of ZIPs. Against that, modeled pfas sits in the top 4.9% nationally, and fatal road crashes stands in the top 5.5% nationally. Modeled obesity resides in the top 9.8% nationally, and industrial-pollution burden sits in the top 13.8% nationally. Recreation stands at the national minimum, shared with about 35% of ZIPs.
Defined simply, for reference, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. The closest healthier ZIP overall is ZIP 47122, 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 Louisville/Jefferson County, KY-IN 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 68%
16%
Disability
healthier than 65%
7%
Climate / Disaster Risk
healthier than 62%
5%
About typical
Chronic Disease Burden
healthier than 46%
21%
Preventive Care
healthier than 55%
13%
Healthcare Access
healthier than 41%
5%
Holding it back
Environmental Hazard
healthier than 37%
14%
Risk Behavior
healthier than 29%
11%
Mental Health
healthier than 24%
8%
Lifting this score
Chronic Disease Burden
healthier than 69%
21%
Social Need / SDOH
healthier than 73%
16%
Disability
healthier than 74%
7%
About typical
Environmental Hazard
healthier than 51%
14%
Preventive Care
healthier than 45%
13%
Mental Health
healthier than 46%
8%
Climate / Disaster Risk
healthier than 54%
5%
Holding it back
Risk Behavior
healthier than 33%
11%
Healthcare Access
healthier than 40%
5%
Lifting this score
Chronic Disease Burden
healthier than 66%
21%
Disability
healthier than 63%
7%
Climate / Disaster Risk
healthier than 72%
5%
About typical
Social Need / SDOH
healthier than 56%
16%
Environmental Hazard
healthier than 44%
14%
Mental Health
healthier than 41%
8%
Healthcare Access
healthier than 41%
5%
Holding it back
Preventive Care
healthier than 31%
13%
Risk Behavior
healthier than 31%
11%
“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
47112
Indianashares a border
Score 49.70
Closest healthier
47122
Indianashares a border
Score 56.93
Similar health profile
43431
Ohio98% similar profile
Score 49.70
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 | 29.6% | 26.3–32.9 |
| High blood pressure among adults | 36.8% | 32.8–41.1 |
| Cancer (non-skin) or melanoma among adults | 8.5% | 7.7–9.4 |
| Current asthma among adults | 11.5% | 10.1–12.9 |
| Coronary heart disease among adults | 6.5% | 5.8–7.3 |
| Chronic obstructive pulmonary disease among adults | 8.1% | 7.0–9.1 |
| Depression among adults | 25.7% | 22.1–29.6 |
| Diagnosed diabetes among adults | 11.8% | 10.1–13.5 |
| High cholesterol among adults who have ever been screened | 38.2% | 34.1–42.6 |
| Obesity among adults | 42.8% | 35.3–50.6 |
| Stroke among adults | 3.2% | 2.9–3.6 |
| All teeth lost among adults aged >=65 years | 17.7% | 14.7–21.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.2% | 5.8–8.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.9% | 73.9–79.7 |
| Visits to doctor for routine checkup within the past year among adults | 78.8% | 75.4–82.1 |
| Cholesterol screening among adults | 86.3% | 84.5–88.0 |
| Colorectal cancer screening among adults aged 45–75 years | 66.9% | 62.1–71.5 |
| Visited dentist or dental clinic in the past year among adults | 62.9% | 59.4–66.3 |
| Mammography use among women aged 50-74 years | 75.0% | 67.5–81.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.8% | 14.8–21.2 |
| Current cigarette smoking among adults | 16.5% | 14.0–19.1 |
| No leisure-time physical activity among adults | 23.5% | 19.6–27.9 |
| Short sleep duration among adults | 38.9% | 32.8–45.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.4% | 16.7–22.1 |
| Frequent mental distress among adults | 18.2% | 16.1–20.5 |
| Frequent physical distress among adults | 13.7% | 12.0–15.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.1% | 13.2–17.0 |
| Any disability among adults | 31.0% | 26.9–35.4 |
| Hearing disability among adults | 7.0% | 6.2–7.8 |
| Independent living disability among adults | 7.7% | 6.8–8.7 |
| Mobility disability among adults | 13.7% | 11.8–15.7 |
| Self-care disability among adults | 3.5% | 3.1–3.9 |
| Vision disability among adults | 4.3% | 3.9–4.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.1% | 18.7–25.8 |
| Food insecurity in the past 12 months among adults | 12.0% | 9.9–14.5 |
| Received food stamps in the past 12 months among adults | 6.8% | 5.5–8.3 |
| Housing insecurity in the past 12 months among adults | 9.6% | 8.0–11.4 |
| Lack of reliable transportation in the past 12 months among adults | 6.6% | 5.7–7.7 |
| Loneliness among adults | 31.5% | 26.8–36.7 |
| Utility services shut-off threat in the past 12 months among adults | 7.1% | 6.1–8.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | IN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.0% | 10.6% (3.1–25.8%) n=32,364 | 9.8% (3.3–23.6%) n=764 |
| Uninsured 18–64 | 11.7% | 9.0% (1.5–24.3%) n=32,286 | 8.3% (2.5–19.0%) n=761 |
| No HS diploma (25+) | 4.7% | 7.9% (1.8–20.7%) n=32,505 | 8.8% (3.0–19.3%) n=766 |
| Bachelor's or higher (25+) | 16.7% | 23.3% (9.2–53.6%) n=32,505 | 19.4% (8.1–38.5%) n=766 |
| Unemployment rate (16+) | 6.0% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–8.2%) n=760 |
| Households without a vehicle | 3.8% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–11.5%) n=764 |
| Broadband subscription | 92.6% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (76.7–95.9%) n=764 |
| Housing cost burden (≥30% income) | 19.5% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.8–33.1%) n=764 |
| Homeownership rate | 89.6% | 78.7% (51.7–94.0%) n=32,322 | 81.7% (58.9–94.5%) n=764 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–4.2%) n=764 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–8.8%) n=767 |
| Single-parent households | 55.1% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (40.5–69.1%) n=756 |
| Population 65+ | 13.2% | 19.4% (10.8–33.6%) n=32,553 | 18.2% (11.0–26.5%) n=767 |
| Median age | 43.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.5 yr (32.5–49.6) n=756 |
| Median household income | $79,914 | $72,070 ($46,039–$118,707) n=30,318 | $71,016 ($50,417–$99,531) n=721 |
| Median home value | $206,800 | $222,200 ($100,300–$579,820) n=30,049 | $178,250 ($109,430–$287,310) n=724 |
| Median gross rent | $856 | $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 | 76.9 yr ± 0.78 | 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 0.78 years of 76.9, 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