ZIP code
47550
in Lamar, IndianaPopulation 791
51.74/ 100
Ranked #13,775 of 32,066 US ZIPs (top 43%)
Ranked #187 of 757 Indiana ZIPs (top 25%)
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 0.5% 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 ›Civic-institution access
1.3 per 1,000 residents
in the top 2.8% nationally
Higher is healthier
ST98thUS97thDefinition & source ›
The number of civic and social organizations 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 ›Poverty rate
1.9%
in the bottom 6.6% nationally
Lower is healthier
ST7thUS7thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Homeownership rate
96.1%
in the top 7.3% nationally
Higher is healthier
ST92ndUS93rdDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Housing-cost burden
41.9%
in the top 8.1% nationally
Lower is healthier
ST96thUS92ndDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Distance to an emergency room
14.5 mi
in the top 12.1% nationally
Lower is healthier
ST96thUS88thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
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 ›PFAS in drinking water
12.7%
in the bottom 16% nationally
Lower is healthier
ST4thUS16thDefinition & 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 ›Slow internet speeds
0.65%
in the top 16% nationally
Lower is healthier
ST95thUS84thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Arsenic in groundwater
1.6%
in the bottom 17% nationally
Lower is healthier
ST5thUS17thDefinition & 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 ›The read
Lamar, Indiana (ZIP 47550), overall, ranks in the top 43% healthiest ZIPs nationally (13,775th) and the top 25% of Indiana (187th).
Taken together, the data gives a genuinely mixed reading: civic lies in the top 2.8% nationally, poverty stands in the bottom 6.6% nationally, and homeownership rests in the top 7.3% nationally. Households without a vehicle registers at the national minimum, shared with about 16% of ZIPs. Modeled disaster risk resides in the bottom 13.7% nationally. Crowded housing settles at the national minimum, shared with about 29% of ZIPs. Modeled transportation is in the bottom 15% nationally. On the other side, modeled industrial-pollution burden sits in the top 0.5% nationally, and housing-cost burden lands in the top 8.1% nationally. Distance to an emergency room lies in the top 12.1% nationally.
Measured against the nearby ZIPs, industrial-pollution burden runs far lower than the surrounding ZIPs on this measure. Defined simply, 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. ZIP 47552, just across the boundary, comes out 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
Social Need / SDOH
healthier than 78%
16%
Preventive Care
healthier than 74%
13%
Disability
healthier than 73%
7%
About typical
Chronic Disease Burden
healthier than 42%
21%
Risk Behavior
healthier than 56%
11%
Holding it back
Environmental Hazard
healthier than 18%
14%
Mental Health
healthier than 40%
8%
Climate / Disaster Risk
healthier than 32%
5%
Healthcare Access
healthier than 35%
5%
Lifting this score
Chronic Disease Burden
healthier than 62%
21%
Social Need / SDOH
healthier than 86%
16%
Preventive Care
healthier than 79%
13%
Risk Behavior
healthier than 79%
11%
Mental Health
healthier than 81%
8%
Disability
healthier than 85%
7%
Holding it back
Environmental Hazard
healthier than 25%
14%
Climate / Disaster Risk
healthier than 13%
5%
Healthcare Access
healthier than 31%
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
47531
Indianashares a border
Score 51.50
Closest healthier
47552
Indianashares a border
Score 54.98
Similar health profile
47638
Indiana96% similar profile
Score 51.56
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 | 31.1% | 27.3–34.8 |
| High blood pressure among adults | 40.3% | 35.6–45.0 |
| Cancer (non-skin) or melanoma among adults | 9.7% | 8.7–10.7 |
| Current asthma among adults | 10.7% | 9.4–12.1 |
| Coronary heart disease among adults | 7.0% | 6.1–8.0 |
| Chronic obstructive pulmonary disease among adults | 8.1% | 6.8–9.5 |
| Depression among adults | 25.4% | 21.6–29.4 |
| Diagnosed diabetes among adults | 12.7% | 10.8–14.8 |
| High cholesterol among adults who have ever been screened | 40.9% | 36.4–45.7 |
| Obesity among adults | 40.1% | 32.0–48.8 |
| Stroke among adults | 3.4% | 2.9–3.8 |
| All teeth lost among adults aged >=65 years | 13.5% | 10.9–16.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.4% | 5.1–8.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.5% | 75.5–81.3 |
| Visits to doctor for routine checkup within the past year among adults | 80.5% | 77.3–83.7 |
| Cholesterol screening among adults | 88.5% | 86.7–90.2 |
| Colorectal cancer screening among adults aged 45–75 years | 68.7% | 63.7–73.5 |
| Visited dentist or dental clinic in the past year among adults | 63.2% | 59.5–66.7 |
| Mammography use among women aged 50-74 years | 75.9% | 68.0–82.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.8% | 13.9–20.1 |
| Current cigarette smoking among adults | 16.1% | 12.9–19.6 |
| No leisure-time physical activity among adults | 22.3% | 17.9–27.3 |
| Short sleep duration among adults | 34.8% | 28.1–41.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.5% | 15.5–21.8 |
| Frequent mental distress among adults | 16.3% | 14.1–18.5 |
| Frequent physical distress among adults | 13.7% | 11.8–15.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.1% | 11.2–15.2 |
| Any disability among adults | 29.6% | 25.0–34.5 |
| Hearing disability among adults | 7.2% | 6.3–8.3 |
| Independent living disability among adults | 7.0% | 5.9–8.1 |
| Mobility disability among adults | 13.5% | 11.3–16.0 |
| Self-care disability among adults | 3.3% | 2.8–3.8 |
| Vision disability among adults | 4.0% | 3.4–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.1% | 17.8–25.0 |
| Food insecurity in the past 12 months among adults | 10.0% | 8.0–12.4 |
| Received food stamps in the past 12 months among adults | 5.5% | 4.3–6.9 |
| Housing insecurity in the past 12 months among adults | 8.3% | 6.8–10.0 |
| Lack of reliable transportation in the past 12 months among adults | 5.6% | 4.8–6.6 |
| Loneliness among adults | 30.2% | 25.5–35.7 |
| Utility services shut-off threat in the past 12 months among adults | 6.2% | 5.2–7.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | IN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 1.9% | 10.6% (3.1–25.8%) n=32,364 | 9.8% (3.3–23.6%) n=764 |
| Uninsured 18–64 | 8.3% | 9.0% (1.5–24.3%) n=32,286 | 8.3% (2.5–19.0%) n=761 |
| No HS diploma (25+) | 2.5% | 7.9% (1.8–20.7%) n=32,505 | 8.8% (3.0–19.3%) n=766 |
| Bachelor's or higher (25+) | 23.9% | 23.3% (9.2–53.6%) n=32,505 | 19.4% (8.1–38.5%) n=766 |
| Unemployment rate (16+) | 6.2% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–8.2%) n=760 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–11.5%) n=764 |
| Broadband subscription | 95.8% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (76.7–95.9%) n=764 |
| Housing cost burden (≥30% income) | 41.9% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.8–33.1%) n=764 |
| Homeownership rate | 96.1% | 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 | 1.1% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–8.8%) n=767 |
| Single-parent households | 65.1% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (40.5–69.1%) n=756 |
| Population 65+ | 16.2% | 19.4% (10.8–33.6%) n=32,553 | 18.2% (11.0–26.5%) n=767 |
| Median age | 42.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.5 yr (32.5–49.6) n=756 |
| Median household income | $80,625 | $72,070 ($46,039–$118,707) n=30,318 | $71,016 ($50,417–$99,531) n=721 |
| Median home value | $263,900 | $222,200 ($100,300–$579,820) n=30,049 | $178,250 ($109,430–$287,310) n=724 |
| Median gross rent | — | $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 | 80.1 yr ± 1.40 | 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 1.40 years of 80.1, 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