ZIP code
47145
in Milltown, IndianaPopulation 1,782
38.69/ 100
Ranked #27,609 of 32,066 US ZIPs (bottom 13.9%)
Ranked #710 of 757 Indiana ZIPs (bottom 6.3%)
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.
Home broadband subscription
53.1%
in the bottom 1.9% nationally
Higher is healthier
ST1stUS2ndDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Tooth loss
24.9%
in the top 7.4% nationally
Lower is healthier
ST94thUS93rdDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Tree cover
69.6%
in the top 9.4% nationally
Higher is healthier
ST98thUS91stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Housing-cost burden
40%
in the top 10.1% nationally
Lower is healthier
ST95thUS90thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Arsenic in groundwater
1.5%
in the bottom 12.5% nationally
Lower is healthier
ST2ndUS12thDefinition & 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 ›High cholesterol
42.7%
in the top 12.1% nationally
Lower is healthier
ST93rdUS88thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Diabetes
16.5%
in the top 14.3% nationally
Lower is healthier
ST94thUS86thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Coronary heart disease
9.4%
in the top 15% nationally
Lower is healthier
ST95thUS85thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›High blood pressure
43.9%
in the top 16% nationally
Lower is healthier
ST95thUS84thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›The read
By the composite measure, Milltown, Indiana (ZIP 47145) sits in the bottom 13.9% nationally (27,609th) and the bottom 6.3% of Indiana (710th).
The profile cuts both ways, and the readings bear that out: modeled tree cover registers in the top 9.4% nationally, and arsenic lands in the bottom 12.5% nationally. Distance to a nursing home resides at the national minimum, shared with about 27% of ZIPs. Working the other way, home broadband subscription lies in the bottom 1.9% nationally, and modeled tooth loss settles in the top 7.4% nationally. Housing-cost burden stands in the top 10.1% nationally, and modeled obesity is in the top 9.8% nationally. Poverty rests in the top 13.4% nationally, and modeled industrial-pollution burden sits in the top 14.2% nationally. Modeled high cholesterol registers in the top 12.1% nationally.
In plain language, 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. ZIP 47112, just across the boundary, ranks healthier overall.
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
Healthcare Access
healthier than 73%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
healthier than 16%
16%
Preventive Care
healthier than 39%
13%
Risk Behavior
healthier than 12%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 20%
7%
Lifting this score
Environmental Hazard
healthier than 80%
14%
Healthcare Access
healthier than 72%
5%
About typical
Climate / Disaster Risk
healthier than 43%
5%
Holding it back
Chronic Disease Burden
healthier than 4%
21%
Social Need / SDOH
healthier than 9%
16%
Preventive Care
healthier than 21%
13%
Risk Behavior
healthier than 8%
11%
Mental Health
healthier than 16%
8%
Disability
healthier than 6%
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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Clean environment, heavy chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 72.6; chronic-disease standing 8.8 (bottom 10%) — 64 points apart, cleaner on the environment than it is on chronic illness.
Ranked #1,462 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
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
47115
Indianashares a border
Score 49.22
Similar health profile
47369
Indiana99% similar profile
Score 37.49
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 | 35.3% | 31.7–39.0 |
| High blood pressure among adults | 43.9% | 39.6–48.3 |
| Cancer (non-skin) or melanoma among adults | 9.6% | 8.7–10.6 |
| Current asthma among adults | 11.9% | 10.6–13.3 |
| Coronary heart disease among adults | 9.4% | 8.4–10.5 |
| Chronic obstructive pulmonary disease among adults | 12.6% | 11.1–14.2 |
| Depression among adults | 26.9% | 23.3–30.9 |
| Diagnosed diabetes among adults | 16.5% | 14.5–18.7 |
| High cholesterol among adults who have ever been screened | 42.7% | 38.3–47.2 |
| Obesity among adults | 42.8% | 34.2–51.6 |
| Stroke among adults | 4.8% | 4.3–5.2 |
| All teeth lost among adults aged >=65 years | 24.9% | 20.7–29.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.2% | 7.7–11.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.3% | 77.6–82.8 |
| Visits to doctor for routine checkup within the past year among adults | 80.1% | 76.7–83.3 |
| Cholesterol screening among adults | 85.3% | 83.4–87.2 |
| Colorectal cancer screening among adults aged 45–75 years | 64.9% | 59.6–70.1 |
| Visited dentist or dental clinic in the past year among adults | 54.8% | 51.0–58.6 |
| Mammography use among women aged 50-74 years | 71.7% | 63.5–79.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.3–18.0 |
| Current cigarette smoking among adults | 22.7% | 19.6–26.1 |
| No leisure-time physical activity among adults | 31.1% | 26.3–36.5 |
| Short sleep duration among adults | 38.6% | 31.5–45.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 26.7% | 23.4–30.4 |
| Frequent mental distress among adults | 19.3% | 17.2–21.5 |
| Frequent physical distress among adults | 17.9% | 15.8–20.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.9% | 15.9–20.1 |
| Any disability among adults | 37.9% | 33.3–42.9 |
| Hearing disability among adults | 9.5% | 8.5–10.6 |
| Independent living disability among adults | 10.6% | 9.4–12.0 |
| Mobility disability among adults | 19.7% | 17.2–22.6 |
| Self-care disability among adults | 5.4% | 4.8–6.1 |
| Vision disability among adults | 6.6% | 5.8–7.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.5% | 20.1–27.4 |
| Food insecurity in the past 12 months among adults | 17.7% | 14.8–21.0 |
| Received food stamps in the past 12 months among adults | 12.0% | 10.0–14.2 |
| Housing insecurity in the past 12 months among adults | 12.2% | 10.3–14.3 |
| Lack of reliable transportation in the past 12 months among adults | 8.9% | 7.7–10.2 |
| Loneliness among adults | 31.9% | 26.8–37.5 |
| Utility services shut-off threat in the past 12 months among adults | 9.7% | 8.3–11.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | IN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.0% | 10.6% (3.1–25.8%) n=32,364 | 9.8% (3.3–23.6%) n=764 |
| Uninsured 18–64 | 16.3% | 9.0% (1.5–24.3%) n=32,286 | 8.3% (2.5–19.0%) n=761 |
| No HS diploma (25+) | 18.0% | 7.9% (1.8–20.7%) n=32,505 | 8.8% (3.0–19.3%) n=766 |
| Bachelor's or higher (25+) | 9.8% | 23.3% (9.2–53.6%) n=32,505 | 19.4% (8.1–38.5%) n=766 |
| Unemployment rate (16+) | 2.7% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–8.2%) n=760 |
| Households without a vehicle | 9.7% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–11.5%) n=764 |
| Broadband subscription | 53.1% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (76.7–95.9%) n=764 |
| Housing cost burden (≥30% income) | 40.0% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.8–33.1%) n=764 |
| Homeownership rate | 78.3% | 78.7% (51.7–94.0%) n=32,322 | 81.7% (58.9–94.5%) n=764 |
| Crowded housing (>1 per room) | 0.2% | 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 | 65.4% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (40.5–69.1%) n=756 |
| Population 65+ | 21.7% | 19.4% (10.8–33.6%) n=32,553 | 18.2% (11.0–26.5%) n=767 |
| Median age | 51.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.5 yr (32.5–49.6) n=756 |
| Median household income | $48,434 | $72,070 ($46,039–$118,707) n=30,318 | $71,016 ($50,417–$99,531) n=721 |
| Median home value | $123,000 | $222,200 ($100,300–$579,820) n=30,049 | $178,250 ($109,430–$287,310) n=724 |
| Median gross rent | $879 | $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 | 75.6 yr ± 1.33 | 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 1.33 years of 75.6, 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