ZIP code
47136
in Lanesville, IndianaPopulation 4,756
54.16/ 100
Ranked #10,486 of 32,066 US ZIPs (top 33%)
Ranked #92 of 757 Indiana ZIPs (top 12.2%)
Ranked #30 of 114 Louisville/Jefferson County, KY-IN ZIPs (top 26%)
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.
Floodplain exposure
0.07%
in the bottom 7.3% nationally
Lower is healthier
ST9thUS7thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Poverty rate
2.4%
in the bottom 7.9% nationally
Lower is healthier
ST8thUS8thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Industrial-pollution burden
in the top 9.4% nationally
Lower is healthier
ST77thUS91stDefinition & 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 ›Lack of transportation
5.5%
in the bottom 13.7% nationally
Lower is healthier
ST7thUS14thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Housing insecurity
8.1%
in the bottom 17% nationally
Lower is healthier
ST10thUS17thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Tree cover
53.7%
in the top 19% nationally
Higher is healthier
ST92ndUS81stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Food insecurity
9.9%
in the bottom 19% nationally
Lower is healthier
ST9thUS19thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Vision disability
3.8%
in the bottom 15% nationally
Lower is healthier
ST8thUS15thDefinition & source ›
The estimated share of adults who are blind or have serious difficulty seeing even with glasses.
Full methodology ›Mammography
78.5%
in the top 22% nationally
Higher is healthier
ST92ndUS78thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Uninsured (under 65)
6.1%
in the bottom 16% nationally
Lower is healthier
ST7thUS16thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›The read
Lanesville, Indiana (ZIP 47136), by its overall standing, sits in the top 33% healthiest ZIPs nationally (10,486th) and the top 12.2% of Indiana (92nd).
The data is generous to this ZIP in several places worth naming: floodplain exposure settles in the bottom 7.3% nationally, poverty registers in the bottom 7.9% nationally, and homeownership stands in the top 11.2% nationally. Modeled transportation lands in the bottom 13.7% nationally, and housing insecurity is in the bottom 17% nationally. Outer-floodplain exposure resides at the national minimum, shared with about 36% of ZIPs. Modeled tree cover rests in the top 19% nationally. Working the other way, modeled industrial-pollution burden lies in the top 9.4% nationally, and loud transportation noise sits in the top 13.3% nationally. Physicians settles at the national minimum, shared with about 38% of ZIPs.
Defined in plain terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. The nearest ZIP ranking healthier 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 79%
16%
Preventive Care
healthier than 81%
13%
Disability
healthier than 77%
7%
Climate / Disaster Risk
healthier than 67%
5%
About typical
Chronic Disease Burden
healthier than 51%
21%
Risk Behavior
healthier than 50%
11%
Healthcare Access
healthier than 53%
5%
Holding it back
Environmental Hazard
healthier than 27%
14%
Mental Health
healthier than 37%
8%
Lifting this score
Chronic Disease Burden
healthier than 77%
21%
Social Need / SDOH
healthier than 87%
16%
Preventive Care
healthier than 87%
13%
Risk Behavior
healthier than 70%
11%
Mental Health
healthier than 77%
8%
Disability
healthier than 89%
7%
Climate / Disaster Risk
healthier than 64%
5%
About typical
Healthcare Access
healthier than 55%
5%
Holding it back
Environmental Hazard
healthier than 36%
14%
Lifting this score
Chronic Disease Burden
healthier than 75%
21%
Social Need / SDOH
healthier than 84%
16%
Preventive Care
healthier than 88%
13%
Risk Behavior
healthier than 78%
11%
Mental Health
healthier than 84%
8%
Disability
healthier than 75%
7%
Climate / Disaster Risk
healthier than 94%
5%
About typical
Healthcare Access
healthier than 53%
5%
Holding it back
Environmental Hazard
healthier than 22%
14%
“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
43469
Ohio99% similar profile
Score 54.63
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 | 29.8% | 27.4–32.3 |
| High blood pressure among adults | 37.6% | 34.6–40.6 |
| Cancer (non-skin) or melanoma among adults | 9.3% | 8.6–10.0 |
| Current asthma among adults | 11.1% | 10.1–12.1 |
| Coronary heart disease among adults | 6.5% | 5.9–7.1 |
| Chronic obstructive pulmonary disease among adults | 7.5% | 6.6–8.3 |
| Depression among adults | 24.9% | 22.3–27.5 |
| Diagnosed diabetes among adults | 11.7% | 10.4–12.9 |
| High cholesterol among adults who have ever been screened | 39.5% | 36.5–42.6 |
| Obesity among adults | 39.0% | 34.0–44.2 |
| Stroke among adults | 3.1% | 2.9–3.4 |
| All teeth lost among adults aged >=65 years | 14.0% | 11.9–16.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.1% | 5.2–7.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.0% | 75.7–80.1 |
| Visits to doctor for routine checkup within the past year among adults | 80.2% | 77.8–82.6 |
| Cholesterol screening among adults | 88.2% | 86.8–89.4 |
| Colorectal cancer screening among adults aged 45–75 years | 68.7% | 65.3–72.0 |
| Visited dentist or dental clinic in the past year among adults | 67.3% | 64.6–69.7 |
| Mammography use among women aged 50-74 years | 78.5% | 73.5–82.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.6% | 15.4–20.0 |
| Current cigarette smoking among adults | 14.6% | 12.7–16.5 |
| No leisure-time physical activity among adults | 22.4% | 19.4–25.4 |
| Short sleep duration among adults | 36.4% | 32.2–40.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.7% | 15.7–19.7 |
| Frequent mental distress among adults | 17.0% | 15.4–18.5 |
| Frequent physical distress among adults | 13.0% | 11.7–14.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.3% | 12.0–14.7 |
| Any disability among adults | 29.3% | 26.2–32.2 |
| Hearing disability among adults | 6.9% | 6.3–7.6 |
| Independent living disability among adults | 6.9% | 6.2–7.6 |
| Mobility disability among adults | 12.9% | 11.4–14.4 |
| Self-care disability among adults | 3.1% | 2.8–3.4 |
| Vision disability among adults | 3.8% | 3.4–4.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.6% | 19.2–24.3 |
| Food insecurity in the past 12 months among adults | 9.9% | 8.5–11.5 |
| Received food stamps in the past 12 months among adults | 5.2% | 4.3–6.2 |
| Housing insecurity in the past 12 months among adults | 8.1% | 7.0–9.4 |
| Lack of reliable transportation in the past 12 months among adults | 5.5% | 4.9–6.3 |
| Loneliness among adults | 31.8% | 28.4–35.4 |
| Utility services shut-off threat in the past 12 months among adults | 6.0% | 5.2–6.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | IN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.4% | 10.6% (3.1–25.8%) n=32,364 | 9.8% (3.3–23.6%) n=764 |
| Uninsured 18–64 | 5.3% | 9.0% (1.5–24.3%) n=32,286 | 8.3% (2.5–19.0%) n=761 |
| No HS diploma (25+) | 6.8% | 7.9% (1.8–20.7%) n=32,505 | 8.8% (3.0–19.3%) n=766 |
| Bachelor's or higher (25+) | 28.4% | 23.3% (9.2–53.6%) n=32,505 | 19.4% (8.1–38.5%) n=766 |
| Unemployment rate (16+) | 2.5% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–8.2%) n=760 |
| Households without a vehicle | 4.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–11.5%) n=764 |
| Broadband subscription | 88.4% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (76.7–95.9%) n=764 |
| Housing cost burden (≥30% income) | 16.1% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.8–33.1%) n=764 |
| Homeownership rate | 93.3% | 78.7% (51.7–94.0%) n=32,322 | 81.7% (58.9–94.5%) n=764 |
| Crowded housing (>1 per room) | 0.6% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–4.2%) n=764 |
| Foreign-born population | 4.0% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–8.8%) n=767 |
| Single-parent households | 49.0% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (40.5–69.1%) n=756 |
| Population 65+ | 13.5% | 19.4% (10.8–33.6%) n=32,553 | 18.2% (11.0–26.5%) n=767 |
| Median age | 37.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.5 yr (32.5–49.6) n=756 |
| Median household income | $91,333 | $72,070 ($46,039–$118,707) n=30,318 | $71,016 ($50,417–$99,531) n=721 |
| Median home value | $260,600 | $222,200 ($100,300–$579,820) n=30,049 | $178,250 ($109,430–$287,310) n=724 |
| Median gross rent | $965 | $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 | 80.0 yr ± 1.06 | 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 1.06 years of 80.0, 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