ZIP code
47710
in Evansville, IndianaPopulation 18,309
36.65/ 100
Ranked #28,689 of 32,066 US ZIPs (bottom 10.6%)
Ranked #726 of 757 Indiana ZIPs (bottom 4.1%)
Ranked #19 of 20 Evansville, IN ZIPs (bottom 5.0%)
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
ST98thUS99thDefinition & 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 ›Distance to a Superfund site
In this ZIP
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Subsidized affordable housing
708 units
in the top 2.7% nationally
Higher is healthier
ST99thUS97thDefinition & source ›
The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.
Full methodology ›Physician access
2.9 per 1,000 residents
in the top 3.8% nationally
Higher is healthier
ST98thUS96thDefinition & source ›
The number of physicians’ 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 ›Grocery access
0.27 per 1,000 residents
in the top 4.4% nationally
Higher is healthier
ST98thUS96thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Pharmacy access
0.49 per 1,000 residents
in the top 5.4% nationally
Higher is healthier
ST97thUS95thDefinition & 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 ›Expected annual disaster loss
$0
in the top 9.3% nationally
Lower is healthier
ST93rdUS91stDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Tooth loss
23.2%
in the top 10.0% nationally
Lower is healthier
ST91stUS90thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Homeownership rate
53.4%
in the bottom 11.0% nationally
Higher is healthier
ST7thUS11thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Households without a vehicle
11.9%
in the top 11.0% nationally
Lower is healthier
ST91stUS89thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›The read
ZIP 47710, one of several in Evansville, Indiana, on the composite measure, lands in the bottom 10.6% nationally (28,689th) and the bottom 4.1% of Indiana (726th).
What the numbers press hardest on defines much of the story here: modeled industrial-pollution burden lands in the top 0.4% nationally, distance to a Superfund site resides at the national minimum, and modeled expected annual loss lies in the top 9.3% nationally. Modeled tooth loss settles in the top 10.0% nationally, homeownership stands in the bottom 11.0% nationally, and households without a vehicle is in the top 11.0% nationally. On the encouraging side, subsidized affordable housing rests in the top 2.7% nationally, and physicians sits in the top 3.8% nationally. Grocery registers in the top 4.4% nationally, and pharmacy lands in the top 5.4% nationally.
Set against the neighboring ZIPs, industrial-pollution burden runs far lower than the surrounding ZIPs on this measure. In everyday language, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. A healthier neighbor overall sits at ZIP 47708, 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 Evansville, IN metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
healthier than 84%
5%
About typical
Preventive Care
healthier than 43%
13%
Climate / Disaster Risk
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Social Need / SDOH
healthier than 39%
16%
Environmental Hazard
healthier than 4%
14%
Risk Behavior
healthier than 9%
11%
Mental Health
healthier than 7%
8%
Disability
healthier than 14%
7%
Lifting this score
Healthcare Access
healthier than 83%
5%
Holding it back
Chronic Disease Burden
healthier than 7%
21%
Social Need / SDOH
healthier than 32%
16%
Environmental Hazard
healthier than 3%
14%
Preventive Care
healthier than 27%
13%
Risk Behavior
healthier than 5%
11%
Mental Health
healthier than 4%
8%
Disability
healthier than 5%
7%
Climate / Disaster Risk
healthier than 25%
5%
Lifting this score
Climate / Disaster Risk
healthier than 89%
5%
Healthcare Access
healthier than 89%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.00%
21%
Social Need / SDOH
healthier than 11%
16%
Environmental Hazard
healthier than 16%
14%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 5%
11%
Mental Health
healthier than 5%
8%
Disability
healthier than 5%
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
2 of our published findings list 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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 74.0 ± 1.0 years. A median household income of $47,292 predicts 77.1 years — 3.1 years below.
Ranked #4,261 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 74.0 ± 1.0 years. The 49 nearest ZIP codes with estimates average 78.7 years — 4.7 years below them.
Ranked #3,281 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
47708
Indianashares a border
Score 49.42
Closest healthier
47711
Indianashares a border
Score 44.97
Similar health profile
37914
Tennessee98% similar profile
Score 38.91
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 | 33.6% | 30.6–36.6 |
| High blood pressure among adults | 42.5% | 39.0–46.0 |
| Cancer (non-skin) or melanoma among adults | 9.2% | 8.4–10.1 |
| Current asthma among adults | 12.2% | 10.9–13.7 |
| Coronary heart disease among adults | 9.3% | 8.4–10.2 |
| Chronic obstructive pulmonary disease among adults | 12.2% | 11.1–13.4 |
| Depression among adults | 28.7% | 25.3–32.3 |
| Diagnosed diabetes among adults | 15.7% | 13.9–17.6 |
| High cholesterol among adults who have ever been screened | 40.3% | 36.6–43.8 |
| Obesity among adults | 41.3% | 35.8–46.8 |
| Stroke among adults | 4.8% | 4.5–5.2 |
| All teeth lost among adults aged >=65 years | 23.2% | 19.6–27.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.5% | 9.1–12.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.6% | 77.3–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 81.9% | 79.1–84.5 |
| Cholesterol screening among adults | 83.8% | 82.0–85.5 |
| Colorectal cancer screening among adults aged 45–75 years | 65.8% | 61.1–70.2 |
| Visited dentist or dental clinic in the past year among adults | 55.2% | 51.9–58.6 |
| Mammography use among women aged 50-74 years | 74.6% | 67.3–81.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.0% | 12.6–17.7 |
| Current cigarette smoking among adults | 21.3% | 18.9–24.0 |
| No leisure-time physical activity among adults | 32.4% | 28.5–36.6 |
| Short sleep duration among adults | 41.0% | 35.9–46.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 27.7% | 25.0–30.6 |
| Frequent mental distress among adults | 20.2% | 18.2–22.4 |
| Frequent physical distress among adults | 17.6% | 15.8–19.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.0% | 17.1–21.0 |
| Any disability among adults | 38.3% | 34.6–42.3 |
| Hearing disability among adults | 9.4% | 8.4–10.4 |
| Independent living disability among adults | 11.9% | 10.7–13.1 |
| Mobility disability among adults | 20.0% | 17.9–22.2 |
| Self-care disability among adults | 5.9% | 5.4–6.4 |
| Vision disability among adults | 7.6% | 7.0–8.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.8% | 19.8–26.0 |
| Food insecurity in the past 12 months among adults | 21.8% | 19.3–24.5 |
| Received food stamps in the past 12 months among adults | 16.5% | 14.6–18.7 |
| Housing insecurity in the past 12 months among adults | 14.6% | 12.9–16.6 |
| Lack of reliable transportation in the past 12 months among adults | 11.1% | 9.9–12.3 |
| Loneliness among adults | 32.1% | 28.1–36.3 |
| Utility services shut-off threat in the past 12 months among adults | 12.2% | 10.8–13.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | IN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 21.4% | 10.6% (3.1–25.8%) n=32,364 | 9.8% (3.3–23.6%) n=764 |
| Uninsured 18–64 | 7.5% | 9.0% (1.5–24.3%) n=32,286 | 8.3% (2.5–19.0%) n=761 |
| No HS diploma (25+) | 12.6% | 7.9% (1.8–20.7%) n=32,505 | 8.8% (3.0–19.3%) n=766 |
| Bachelor's or higher (25+) | 17.6% | 23.3% (9.2–53.6%) n=32,505 | 19.4% (8.1–38.5%) n=766 |
| Unemployment rate (16+) | 8.5% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–8.2%) n=760 |
| Households without a vehicle | 11.9% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–11.5%) n=764 |
| Broadband subscription | 88.5% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (76.7–95.9%) n=764 |
| Housing cost burden (≥30% income) | 34.0% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.8–33.1%) n=764 |
| Homeownership rate | 53.4% | 78.7% (51.7–94.0%) n=32,322 | 81.7% (58.9–94.5%) n=764 |
| Crowded housing (>1 per room) | 1.8% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–4.2%) n=764 |
| Foreign-born population | 2.0% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–8.8%) n=767 |
| Single-parent households | 42.4% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (40.5–69.1%) n=756 |
| Population 65+ | 20.3% | 19.4% (10.8–33.6%) n=32,553 | 18.2% (11.0–26.5%) n=767 |
| Median age | 39.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.5 yr (32.5–49.6) n=756 |
| Median household income | $47,292 | $72,070 ($46,039–$118,707) n=30,318 | $71,016 ($50,417–$99,531) n=721 |
| Median home value | $147,300 | $222,200 ($100,300–$579,820) n=30,049 | $178,250 ($109,430–$287,310) n=724 |
| Median gross rent | $907 | $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 | 74.0 yr ± 0.53 | 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 0.53 years of 74.0, 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