ZIP code
47558
in Montgomery, IndianaPopulation 5,354
42.57/ 100
Ranked #24,750 of 32,066 US ZIPs (bottom 23%)
Ranked #633 of 757 Indiana ZIPs (bottom 16%)
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.
Households without a vehicle
29.9%
in the top 2.4% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The share of households with no vehicle available.
Full methodology ›Home broadband subscription
69.5%
in the bottom 5.9% nationally
Higher is healthier
ST4thUS6thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Crowded housing
8.0%
in the top 6.7% nationally
Lower is healthier
ST98thUS93rdDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Loneliness
38.2%
in the top 8.1% nationally
Lower is healthier
ST98thUS92ndDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Poverty rate
3.1%
in the bottom 10.0% nationally
Lower is healthier
ST9thUS10thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Cognitive disability
19.5%
in the top 11.6% nationally
Lower is healthier
ST95thUS88thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›PFAS in drinking water
12.9%
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 ›Mammography
70.4%
in the bottom 16% nationally
Higher is healthier
ST5thUS16thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Binge drinking
18.3%
in the top 16% nationally
Lower is healthier
ST93rdUS84thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›High blood pressure
34%
in the bottom 28% nationally
Lower is healthier
ST7thUS28thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›The read
Montgomery, Indiana (ZIP 47558), by its composite score, sits in the bottom 23% nationally (24,750th) and the bottom 16% of Indiana (633rd), based on limited data; treat as directional.
The data opens on a genuinely even set of readings: poverty lands in the bottom 10.0% nationally, and housing-cost burden stands in the bottom 10.6% nationally. Unemployment registers in the bottom 14.7% nationally. On the other side, households without a vehicle settles in the top 2.4% nationally, home broadband subscription sits in the bottom 5.9% nationally, and crowded housing lies in the top 6.7% nationally. Modeled loneliness rests in the top 8.1% nationally, arsenic resides in the top 10.6% nationally, and cognitive disability is in the top 11.6% nationally. Distance to a hazardous-chemical facility lands at the national minimum, shared with about 31% of ZIPs.
For anyone unfamiliar, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. For a healthier comparison close by, see ZIP 47519, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 63%
14%
About typical
Chronic Disease Burden
healthier than 51%
21%
Disability
healthier than 41%
7%
Climate / Disaster RiskPartial
healthier than 43%
5%
Healthcare Access
healthier than 50%
5%
Holding it back
Social Need / SDOH
healthier than 24%
16%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 17%
11%
Mental Health
healthier than 5%
8%
Lifting this score
Chronic Disease Burden
healthier than 77%
21%
Environmental Hazard
healthier than 84%
14%
About typical
Healthcare Access
healthier than 51%
5%
Holding it back
Social Need / SDOH
healthier than 15%
16%
Preventive Care
healthier than 4%
13%
Risk Behavior
healthier than 13%
11%
Mental Health
healthier than 3%
8%
Disability
healthier than 30%
7%
Climate / Disaster RiskPartial
healthier than 22%
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 ›
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.
Below what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 77.1 ± 1.3 years. A median household income of $91,184 predicts 79.7 years — 2.7 years below.
Ranked #3,664 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
47501
Indianashares a border
Score 41.87
Closest healthier
47519
Indianashares a border
Score 51.26
Similar health profile
45674
Ohio97% similar profile
Score 41.54
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 | 27.0% | 24.1–30.3 |
| High blood pressure among adults | 34.0% | 30.2–38.1 |
| Cancer (non-skin) or melanoma among adults | 7.2% | 6.6–8.0 |
| Current asthma among adults | 12.2% | 10.8–13.8 |
| Coronary heart disease among adults | 6.3% | 5.6–7.1 |
| Chronic obstructive pulmonary disease among adults | 9.2% | 8.1–10.4 |
| Depression among adults | 29.1% | 25.2–33.4 |
| Diagnosed diabetes among adults | 11.2% | 9.8–13.0 |
| High cholesterol among adults who have ever been screened | 37.0% | 32.7–41.3 |
| Obesity among adults | 39.6% | 32.1–47.7 |
| Stroke among adults | 3.2% | 2.9–3.5 |
| All teeth lost among adults aged >=65 years | 20.4% | 17.0–24.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 11.1% | 8.8–13.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 72.5% | 69.5–75.3 |
| Visits to doctor for routine checkup within the past year among adults | 75.5% | 71.6–79.0 |
| Cholesterol screening among adults | 80.3% | 77.7–82.9 |
| Colorectal cancer screening among adults aged 45–75 years | 62.7% | 57.7–67.4 |
| Visited dentist or dental clinic in the past year among adults | 56.5% | 52.9–60.1 |
| Mammography use among women aged 50-74 years | 70.4% | 61.9–77.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.3% | 15.2–21.7 |
| Current cigarette smoking among adults | 20.4% | 17.6–23.6 |
| No leisure-time physical activity among adults | 28.6% | 24.1–33.6 |
| Short sleep duration among adults | 34.8% | 28.2–41.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.5% | 20.4–27.0 |
| Frequent mental distress among adults | 21.3% | 18.8–23.9 |
| Frequent physical distress among adults | 15.6% | 13.7–17.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.5% | 17.0–22.2 |
| Any disability among adults | 34.5% | 29.9–39.4 |
| Hearing disability among adults | 6.8% | 6.0–7.7 |
| Independent living disability among adults | 9.9% | 8.6–11.3 |
| Mobility disability among adults | 14.6% | 12.7–16.8 |
| Self-care disability among adults | 3.9% | 3.5–4.4 |
| Vision disability among adults | 5.2% | 4.6–5.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 26.2% | 22.5–30.3 |
| Food insecurity in the past 12 months among adults | 17.9% | 15.0–20.9 |
| Received food stamps in the past 12 months among adults | 10.3% | 8.5–12.2 |
| Housing insecurity in the past 12 months among adults | 12.4% | 10.4–14.4 |
| Lack of reliable transportation in the past 12 months among adults | 8.9% | 7.6–10.2 |
| Loneliness among adults | 38.2% | 33.0–43.6 |
| Utility services shut-off threat in the past 12 months among adults | 8.3% | 7.1–9.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | IN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.1% | 10.6% (3.1–25.8%) n=32,364 | 9.8% (3.3–23.6%) n=764 |
| Uninsured 18–64 | 43.8% | 9.0% (1.5–24.3%) n=32,286 | 8.3% (2.5–19.0%) n=761 |
| No HS diploma (25+) | 43.0% | 7.9% (1.8–20.7%) n=32,505 | 8.8% (3.0–19.3%) n=766 |
| Bachelor's or higher (25+) | 14.6% | 23.3% (9.2–53.6%) n=32,505 | 19.4% (8.1–38.5%) n=766 |
| Unemployment rate (16+) | 0.1% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–8.2%) n=760 |
| Households without a vehicle | 29.9% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–11.5%) n=764 |
| Broadband subscription | 69.5% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (76.7–95.9%) n=764 |
| Housing cost burden (≥30% income) | 10.9% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.8–33.1%) n=764 |
| Homeownership rate | 90.0% | 78.7% (51.7–94.0%) n=32,322 | 81.7% (58.9–94.5%) n=764 |
| Crowded housing (>1 per room) | 8.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–4.2%) n=764 |
| Foreign-born population | 0.7% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–8.8%) n=767 |
| Single-parent households | 44.5% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (40.5–69.1%) n=756 |
| Population 65+ | 11.7% | 19.4% (10.8–33.6%) n=32,553 | 18.2% (11.0–26.5%) n=767 |
| Median age | 27.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.5 yr (32.5–49.6) n=756 |
| Median household income | $91,184 | $72,070 ($46,039–$118,707) n=30,318 | $71,016 ($50,417–$99,531) n=721 |
| Median home value | $269,700 | $222,200 ($100,300–$579,820) n=30,049 | $178,250 ($109,430–$287,310) n=724 |
| Median gross rent | $813 | $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 | 77.1 yr ± 0.66 | 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 0.66 years of 77.1, 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