ZIP code
47120
in Fredericksburg, IndianaPopulation 960
48.20/ 100
Ranked #18,679 of 32,066 US ZIPs (bottom 42%)
Ranked #370 of 757 Indiana ZIPs (top 49%)
Ranked #58 of 114 Louisville/Jefferson County, KY-IN ZIPs (bottom 49%)
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.
Poverty rate
27.8%
in the top 8.3% nationally
Lower is healthier
ST94thUS92ndDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Natural-disaster risk
in the bottom 8.5% nationally
Lower is healthier
ST17thUS8thDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Housing-cost burden
41.1%
in the top 8.9% nationally
Lower is healthier
ST96thUS91stDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Median household income
$42,440
in the bottom 7.2% nationally
Higher is healthier
ST3rdUS7thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Arsenic in groundwater
1.6%
in the bottom 17% nationally
Lower is healthier
ST4thUS17thDefinition & 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 ›Distance to a hazardous-chemical facility
8.2 mi
in the top 18% nationally
Higher is healthier
ST98thUS82ndDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Distance to a Superfund site
30.3 mi
in the top 28% nationally
Higher is healthier
ST95thUS72ndDefinition & 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 ›The read
By the composite health measure, Fredericksburg, Indiana (ZIP 47120) ranks in the bottom 42% nationally (18,679th) and the top 49% of Indiana (370th).
The signals balance out across the profile, strengths against concerns: unemployment registers at the national minimum, shared with about 15% of ZIPs. Modeled disaster risk rests in the bottom 8.5% nationally, and arsenic stands in the bottom 17% nationally. Distance to a hazardous-chemical facility lies in the top 18% nationally. Outer-floodplain exposure lands at the national minimum, shared with about 36% of ZIPs. Set against that, poverty sits in the top 8.3% nationally, housing-cost burden is in the top 8.9% nationally, and modeled pfas settles in the top 13.6% nationally. Household income resides in the bottom 7.2% nationally. Recreation registers at the national minimum, shared with about 35% of ZIPs.
To spell things out, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Close by, ZIP 47115, just across the boundary, ranks 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. 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
Preventive Care
healthier than 64%
13%
About typical
Social Need / SDOH
healthier than 45%
16%
Environmental Hazard
healthier than 57%
14%
Disability
healthier than 55%
7%
Climate / Disaster Risk
healthier than 45%
5%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Risk Behavior
healthier than 36%
11%
Mental Health
healthier than 18%
8%
Healthcare Access
healthier than 20%
5%
Lifting this score
Environmental Hazard
healthier than 78%
14%
Preventive Care
healthier than 62%
13%
About typical
Chronic Disease Burden
healthier than 56%
21%
Social Need / SDOH
healthier than 40%
16%
Risk Behavior
healthier than 48%
11%
Disability
healthier than 56%
7%
Holding it back
Mental Health
healthier than 28%
8%
Climate / Disaster Risk
healthier than 25%
5%
Healthcare Access
healthier than 9%
5%
Lifting this score
Environmental Hazard
healthier than 84%
14%
Preventive Care
healthier than 66%
13%
About typical
Chronic Disease Burden
healthier than 53%
21%
Risk Behavior
healthier than 53%
11%
Holding it back
Social Need / SDOH
healthier than 13%
16%
Mental Health
healthier than 31%
8%
Disability
healthier than 34%
7%
Climate / Disaster Risk
healthier than 28%
5%
Healthcare Access
healthier than 6%
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
47108
Indianashares a border
Score 40.58
Closest healthier
47115
Indianashares a border
Score 49.22
Similar health profile
47227
Indiana98% similar profile
Score 48.27
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 | 30.5% | 26.8–33.8 |
| High blood pressure among adults | 39.4% | 34.7–43.7 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.1–9.9 |
| Current asthma among adults | 11.7% | 10.2–13.1 |
| Coronary heart disease among adults | 6.9% | 6.0–7.8 |
| Chronic obstructive pulmonary disease among adults | 8.9% | 7.5–10.3 |
| Depression among adults | 27.1% | 23.1–31.0 |
| Diagnosed diabetes among adults | 12.8% | 10.9–14.7 |
| High cholesterol among adults who have ever been screened | 39.7% | 35.0–44.0 |
| Obesity among adults | 40.2% | 31.8–48.0 |
| Stroke among adults | 3.5% | 3.1–3.9 |
| All teeth lost among adults aged >=65 years | 15.6% | 12.6–19.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.9% | 6.3–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.2% | 74.1–79.9 |
| Visits to doctor for routine checkup within the past year among adults | 79.7% | 76.2–82.7 |
| Cholesterol screening among adults | 86.4% | 84.5–88.2 |
| Colorectal cancer screening among adults aged 45–75 years | 68.5% | 63.3–73.2 |
| Visited dentist or dental clinic in the past year among adults | 65.0% | 61.1–68.6 |
| Mammography use among women aged 50-74 years | 76.1% | 68.1–82.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.9% | 13.9–20.0 |
| Current cigarette smoking among adults | 17.8% | 14.7–21.0 |
| No leisure-time physical activity among adults | 25.1% | 20.5–30.1 |
| Short sleep duration among adults | 36.1% | 29.4–43.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.6% | 17.3–24.0 |
| Frequent mental distress among adults | 18.1% | 15.8–20.3 |
| Frequent physical distress among adults | 14.8% | 12.8–16.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.5% | 13.4–17.7 |
| Any disability among adults | 32.3% | 27.5–37.0 |
| Hearing disability among adults | 7.4% | 6.4–8.3 |
| Independent living disability among adults | 8.3% | 7.1–9.5 |
| Mobility disability among adults | 14.6% | 12.3–17.0 |
| Self-care disability among adults | 3.8% | 3.3–4.3 |
| Vision disability among adults | 4.7% | 4.0–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.5% | 19.1–26.2 |
| Food insecurity in the past 12 months among adults | 13.0% | 10.5–15.7 |
| Received food stamps in the past 12 months among adults | 7.6% | 6.1–9.5 |
| Housing insecurity in the past 12 months among adults | 10.3% | 8.6–12.2 |
| Lack of reliable transportation in the past 12 months among adults | 7.1% | 6.0–8.3 |
| Loneliness among adults | 31.8% | 26.7–37.1 |
| Utility services shut-off threat in the past 12 months among adults | 7.6% | 6.4–8.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | IN median (p10–p90) |
|---|---|---|---|
| Poverty rate | 27.8% | 10.6% (3.1–25.8%) n=32,364 | 9.8% (3.3–23.6%) n=764 |
| Uninsured 18–64 | 19.9% | 9.0% (1.5–24.3%) n=32,286 | 8.3% (2.5–19.0%) n=761 |
| No HS diploma (25+) | 13.0% | 7.9% (1.8–20.7%) n=32,505 | 8.8% (3.0–19.3%) n=766 |
| Bachelor's or higher (25+) | 14.5% | 23.3% (9.2–53.6%) n=32,505 | 19.4% (8.1–38.5%) n=766 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 3.4% (0.0–8.2%) n=760 |
| Households without a vehicle | 8.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.0–11.5%) n=764 |
| Broadband subscription | 88.9% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (76.7–95.9%) n=764 |
| Housing cost burden (≥30% income) | 41.1% | 23.7% (10.6–40.0%) n=32,322 | 20.0% (9.8–33.1%) n=764 |
| Homeownership rate | 81.6% | 78.7% (51.7–94.0%) n=32,322 | 81.7% (58.9–94.5%) n=764 |
| Crowded housing (>1 per room) | 3.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–4.2%) n=764 |
| Foreign-born population | 1.3% | 2.6% (0.0–18.6%) n=32,553 | 1.3% (0.0–8.8%) n=767 |
| Single-parent households | 65.7% | 53.6% (37.3–74.1%) n=32,087 | 53.2% (40.5–69.1%) n=756 |
| Population 65+ | 17.7% | 19.4% (10.8–33.6%) n=32,553 | 18.2% (11.0–26.5%) n=767 |
| Median age | 40.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 40.5 yr (32.5–49.6) n=756 |
| Median household income | $42,440 | $72,070 ($46,039–$118,707) n=30,318 | $71,016 ($50,417–$99,531) n=721 |
| Median home value | $219,200 | $222,200 ($100,300–$579,820) n=30,049 | $178,250 ($109,430–$287,310) n=724 |
| Median gross rent | $1,056 | $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 | 74.2 yr ± 1.17 | 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 1.17 years of 74.2, 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