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ZIP code

47532

in Ferdinand, IndianaPopulation 4,447

ZipVitals Score
How is the ZipVitals Score calculated? →

55.01/ 100

Ranked #9,438 of 32,066 US ZIPs (top 29%)

Ranked #81 of 757 Indiana ZIPs (top 10.8%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Recreation access

1.8 per 1,000 residents

in the top 2.2% nationally

Higher is healthier

ST99th
US98th
Definition & source ›

The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›

Industrial-pollution burden

in the top 3.6% nationally

Lower is healthier

ST91st
US96th
Definition & 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 ›

Lead in tap water

6.6 ppb

in the top 6.7% nationally

Lower is healthier

US93rd
Definition & source ›

The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.

Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.

Full methodology ›

Housing insecurity

7.6%

in the bottom 12.3% nationally

Lower is healthier

ST5th
US12th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Lack of transportation

5.4%

in the bottom 12.4% nationally

Lower is healthier

ST6th
US12th
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

Colon-cancer screening

71.9%

in the top 11.0% nationally

Higher is healthier

ST94th
US89th
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Food insecurity

9.4%

in the bottom 16% nationally

Lower is healthier

ST6th
US16th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

Short sleep

31.6%

in the bottom 18% nationally

Lower is healthier

ST2nd
US18th
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Utility shut-off threat

5.5%

in the bottom 21% nationally

Lower is healthier

ST5th
US21st
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Uninsured (under 65)

6.4%

in the bottom 19% nationally

Lower is healthier

ST10th
US19th
Definition & source ›

The estimated share of adults aged 18–64 with no current health-insurance coverage.

Full methodology ›

The read

In its overall standing, Ferdinand, Indiana (ZIP 47532) lands in the top 29% healthiest ZIPs nationally (9,438th) and the top 10.8% of Indiana (81st).

continue reading

Reading the numbers as a whole, the picture lands somewhere in between: recreation lands in the top 2.2% nationally, modeled housing insecurity lies in the bottom 12.3% nationally, and modeled transportation stands in the bottom 12.4% nationally. Housing-cost burden rests in the bottom 12.4% nationally. Distance to a nursing home registers at the national minimum, shared with about 27% of ZIPs. Modeled colon screening resides in the top 11.0% nationally, and unemployment settles in the bottom 14.9% nationally. Modeled food insecurity is in the bottom 16% nationally. On the other side, modeled industrial-pollution burden sits in the top 3.6% nationally, and lead in tap water lands in the top 6.7% nationally.

Against the wider neighborhood, industrial-pollution burden runs far lower than the surrounding ZIPs on this measure. Put simply, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. On the overall standing, ZIP 47514, about 9.4 miles away, ranks healthier.

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.

Compare within

Lifting this score

Social Need / SDOH

healthier than 75%

16%

Preventive Care

healthier than 85%

13%

Risk Behavior

healthier than 78%

11%

Disability

healthier than 69%

7%

About typical

Chronic Disease Burden

healthier than 41%

21%

Environmental Hazard

healthier than 42%

14%

Mental Health

healthier than 57%

8%

Healthcare Access

healthier than 56%

5%

Holding it back

Climate / Disaster Risk

healthier than 38%

5%

Lifting this score

Chronic Disease Burden

healthier than 61%

21%

Social Need / SDOH

healthier than 83%

16%

Preventive Care

healthier than 93%

13%

Risk Behavior

healthier than 96%

11%

Mental Health

healthier than 93%

8%

Disability

healthier than 81%

7%

About typical

Environmental Hazard

healthier than 59%

14%

Healthcare Access

healthier than 58%

5%

Holding it back

Climate / Disaster Risk

healthier than 18%

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.

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
MeasureCrude prevalence95% CI
Arthritis among adults32.5%29.3–35.7
High blood pressure among adults38.5%34.8–42.2
Cancer (non-skin) or melanoma among adults10.7%9.8–11.7
Current asthma among adults10.9%9.7–12.1
Coronary heart disease among adults7.2%6.4–8.1
Chronic obstructive pulmonary disease among adults8.1%7.0–9.3
Depression among adults23.5%20.4–26.7
Diagnosed diabetes among adults12.5%10.8–14.2
High cholesterol among adults who have ever been screened41.3%37.6–45.1
Obesity among adults38.1%31.9–44.6
Stroke among adults3.5%3.2–4.0
All teeth lost among adults aged >=65 years11.7%9.6–14.3
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years6.4%5.1–7.9
Taking medicine to control high blood pressure among adults with high blood pressure80.1%77.6–82.4
Visits to doctor for routine checkup within the past year among adults81.4%78.6–84.0
Cholesterol screening among adults88.8%87.2–90.2
Colorectal cancer screening among adults aged 45–75 years71.9%67.5–75.9
Visited dentist or dental clinic in the past year among adults66.7%63.4–70.0
Mammography use among women aged 50-74 years75.9%68.7–82.1
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults15.6%13.2–18.2
Current cigarette smoking among adults13.9%11.8–16.2
No leisure-time physical activity among adults22.7%18.9–26.5
Short sleep duration among adults31.6%26.1–37.2
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults18.4%15.9–21.0
Frequent mental distress among adults15.7%14.0–17.5
Frequent physical distress among adults13.6%11.9–15.3
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults13.2%11.6–14.8
Any disability among adults29.8%26.0–33.6
Hearing disability among adults7.8%6.9–8.7
Independent living disability among adults7.2%6.2–8.2
Mobility disability among adults14.2%12.1–16.4
Self-care disability among adults3.3%2.9–3.8
Vision disability among adults4.1%3.6–4.7
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults21.5%18.6–24.6
Food insecurity in the past 12 months among adults9.4%7.7–11.3
Received food stamps in the past 12 months among adults5.1%4.1–6.1
Housing insecurity in the past 12 months among adults7.6%6.3–8.8
Lack of reliable transportation in the past 12 months among adults5.4%4.6–6.2
Loneliness among adults30.9%26.8–35.0
Utility services shut-off threat in the past 12 months among adults5.5%4.7–6.3
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)IN median (p10–p90)
Poverty rate6.2%10.6% (3.1–25.8%) n=32,3649.8% (3.3–23.6%) n=764
Uninsured 18–644.9%9.0% (1.5–24.3%) n=32,2868.3% (2.5–19.0%) n=761
No HS diploma (25+)8.0%7.9% (1.8–20.7%) n=32,5058.8% (3.0–19.3%) n=766
Bachelor's or higher (25+)27.9%23.3% (9.2–53.6%) n=32,50519.4% (8.1–38.5%) n=766
Unemployment rate (16+)0.3%3.9% (0.0–9.8%) n=32,2743.4% (0.0–8.2%) n=760
Households without a vehicle2.9%3.9% (0.0–12.5%) n=32,3223.6% (0.0–11.5%) n=764
Broadband subscription91.4%89.3% (75.1–97.1%) n=32,32288.8% (76.7–95.9%) n=764
Housing cost burden (≥30% income)12.0%23.7% (10.6–40.0%) n=32,32220.0% (9.8–33.1%) n=764
Homeownership rate84.6%78.7% (51.7–94.0%) n=32,32281.7% (58.9–94.5%) n=764
Crowded housing (>1 per room)0.4%1.3% (0.0–6.3%) n=32,3221.1% (0.0–4.2%) n=764
Foreign-born population2.6%2.6% (0.0–18.6%) n=32,5531.3% (0.0–8.8%) n=767
Single-parent households55.4%53.6% (37.3–74.1%) n=32,08753.2% (40.5–69.1%) n=756
Population 65+25.0%19.4% (10.8–33.6%) n=32,55318.2% (11.0–26.5%) n=767
Median age46.5 yr42.2 yr (33.0–56.3) n=32,29240.5 yr (32.5–49.6) n=756
Median household income$84,750$72,070 ($46,039–$118,707) n=30,318$71,016 ($50,417–$99,531) n=721
Median home value$236,200$222,200 ($100,300–$579,820) n=30,049$178,250 ($109,430–$287,310) n=724
Median gross rent$819$1,021 ($677–$1,912) n=25,670$925 ($704–$1,261) n=640
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)IN median (p10–p90)
Life expectancy at birth80.6 yr ± 0.7978.9 yr (74.7–82.8) n=31,30878.5 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 0.79 years of 80.6, and it’s very unlikely to be off by more than twice that.

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