ZIP code
54450
in Mattoon, WisconsinPopulation 457
47.32/ 100
Ranked #19,767 of 32,066 US ZIPs (bottom 38%)
Ranked #677 of 763 Wisconsin ZIPs (bottom 11.3%)
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.
Natural-disaster risk
in the bottom 0.06% nationally
Lower is healthier
ST1stUS1stDefinition & 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 ›PFAS in drinking water
66.3%
in the top 5.6% nationally
Lower is healthier
ST99thUS94thDefinition & 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 ›Crowded housing
8.3%
in the top 6.3% nationally
Lower is healthier
ST98thUS94thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Energy-cost burden
5.4%
in the top 5.9% nationally
Lower is healthier
ST98thUS94thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›Expected annual disaster loss
$0
in the bottom 9.2% nationally
Lower is healthier
ST5thUS9thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Distance to a nursing home
9.7 mi
in the top 11.6% nationally
Lower is healthier
ST93rdUS88thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Arsenic in groundwater
12.3%
in the top 13.3% nationally
Lower is healthier
ST97thUS87thDefinition & 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 ›Home broadband subscription
95.8%
in the top 15% nationally
Higher is healthier
ST94thUS85thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Unemployment rate
0.50%
in the bottom 16% nationally
Lower is healthier
ST6thUS16thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Poverty rate
19.1%
in the top 20% nationally
Lower is healthier
ST93rdUS80thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›The read
In overall standing, Mattoon, Wisconsin (ZIP 54450) comes out in the bottom 38% nationally (19,767th) and the bottom 11.3% of Wisconsin (677th).
Both sides of the picture show up plainly in this area's numbers: modeled expected annual loss sits in the bottom 9.2% nationally, modeled humid heat settles in the bottom 10.7% nationally, and home broadband subscription registers in the top 15% nationally. Unemployment stands in the bottom 16% nationally. By contrast, modeled pfas lands in the top 5.6% nationally, and crowded housing is in the top 6.3% nationally. Modeled energy burden resides in the top 5.9% nationally, and distance to a nursing home rests in the top 11.6% nationally. Modeled arsenic lies in the top 13.3% nationally, and obesity sits in the top 13.0% nationally.
In plain terms, 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. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. The nearest healthier ZIP overall is ZIP 54409, 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
Mental Health
healthier than 82%
8%
About typical
Environmental Hazard
healthier than 51%
14%
Preventive Care
healthier than 52%
13%
Climate / Disaster Risk
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 31%
21%
Social Need / SDOH
healthier than 18%
16%
Risk Behavior
healthier than 21%
11%
Disability
healthier than 32%
7%
Healthcare Access
healthier than 15%
5%
Lifting this score
Mental Health
healthier than 89%
8%
About typical
Environmental Hazard
healthier than 44%
14%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Social Need / SDOH
healthier than 7%
16%
Preventive Care
healthier than 16%
13%
Risk Behavior
healthier than 16%
11%
Disability
healthier than 10%
7%
Climate / Disaster Risk
healthier than 17%
5%
Healthcare Access
healthier than 12%
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
54409
Wisconsinshares a border
Score 48.63
Closest healthier
54414
Wisconsinshares a border
Score 50.56
Similar health profile
17867
Pennsylvania97% similar profile
Score 42.82
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 | 32.2% | 28.8–35.6 |
| High blood pressure among adults | 37.9% | 33.7–42.0 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.0–11.2 |
| Current asthma among adults | 10.5% | 9.3–11.8 |
| Coronary heart disease among adults | 8.8% | 7.7–10.1 |
| Chronic obstructive pulmonary disease among adults | 8.8% | 7.3–10.4 |
| Depression among adults | 20.2% | 17.2–23.3 |
| Diagnosed diabetes among adults | 14.4% | 12.5–16.6 |
| High cholesterol among adults who have ever been screened | 38.3% | 33.9–42.4 |
| Obesity among adults | 42.0% | 35.0–48.8 |
| Stroke among adults | 4.5% | 3.9–5.2 |
| All teeth lost among adults aged >=65 years | 15.0% | 12.3–17.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 12.4% | 10.2–14.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.6% | 78.8–84.1 |
| Visits to doctor for routine checkup within the past year among adults | 79.4% | 76.0–82.4 |
| Cholesterol screening among adults | 87.1% | 85.2–88.8 |
| Colorectal cancer screening among adults aged 45–75 years | 65.5% | 60.8–70.2 |
| Visited dentist or dental clinic in the past year among adults | 61.2% | 57.8–64.7 |
| Mammography use among women aged 50-74 years | 75.3% | 68.2–81.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.9% | 14.1–19.9 |
| Current cigarette smoking among adults | 16.6% | 13.7–19.5 |
| No leisure-time physical activity among adults | 34.1% | 28.8–39.1 |
| Short sleep duration among adults | 35.8% | 30.5–41.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.8% | 19.4–26.4 |
| Frequent mental distress among adults | 14.9% | 13.0–16.8 |
| Frequent physical distress among adults | 15.8% | 13.7–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.0% | 12.1–16.0 |
| Any disability among adults | 34.0% | 29.5–38.6 |
| Hearing disability among adults | 9.3% | 8.2–10.7 |
| Independent living disability among adults | 9.6% | 8.2–11.3 |
| Mobility disability among adults | 18.3% | 15.4–21.2 |
| Self-care disability among adults | 4.9% | 4.2–5.7 |
| Vision disability among adults | 6.2% | 5.4–7.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.0% | 17.7–24.5 |
| Food insecurity in the past 12 months among adults | 15.3% | 12.5–18.5 |
| Received food stamps in the past 12 months among adults | 16.0% | 13.1–19.3 |
| Housing insecurity in the past 12 months among adults | 11.7% | 9.8–13.9 |
| Lack of reliable transportation in the past 12 months among adults | 7.7% | 6.5–9.0 |
| Loneliness among adults | 30.2% | 25.7–35.1 |
| Utility services shut-off threat in the past 12 months among adults | 6.6% | 5.6–7.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 19.1% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (3.6–16.0%) n=765 |
| Uninsured 18–64 | 19.1% | 9.0% (1.5–24.3%) n=32,286 | 6.7% (2.4–14.9%) n=764 |
| No HS diploma (25+) | 15.1% | 7.9% (1.8–20.7%) n=32,505 | 5.9% (2.3–12.6%) n=768 |
| Bachelor's or higher (25+) | 7.5% | 23.3% (9.2–53.6%) n=32,505 | 23.5% (12.7–44.0%) n=768 |
| Unemployment rate (16+) | 0.5% | 3.9% (0.0–9.8%) n=32,274 | 2.6% (0.9–5.6%) n=763 |
| Households without a vehicle | 2.4% | 3.9% (0.0–12.5%) n=32,322 | 3.6% (0.8–9.0%) n=764 |
| Broadband subscription | 95.8% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (80.0–94.8%) n=764 |
| Housing cost burden (≥30% income) | 20.2% | 23.7% (10.6–40.0%) n=32,322 | 21.8% (14.7–29.1%) n=764 |
| Homeownership rate | 77.4% | 78.7% (51.7–94.0%) n=32,322 | 81.3% (62.1–91.8%) n=764 |
| Crowded housing (>1 per room) | 8.3% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.7%) n=764 |
| Foreign-born population | 10.5% | 2.6% (0.0–18.6%) n=32,553 | 1.9% (0.3–6.8%) n=768 |
| Single-parent households | 70.0% | 53.6% (37.3–74.1%) n=32,087 | 59.0% (47.7–72.8%) n=762 |
| Population 65+ | 18.6% | 19.4% (10.8–33.6%) n=32,553 | 20.4% (13.9–32.2%) n=768 |
| Median age | 43.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 44.2 yr (36.2–56.1) n=765 |
| Median household income | $68,750 | $72,070 ($46,039–$118,707) n=30,318 | $75,147 ($57,542–$101,625) n=755 |
| Median home value | $86,700 | $222,200 ($100,300–$579,820) n=30,049 | $231,900 ($160,140–$367,300) n=755 |
| Median gross rent | $960 | $1,021 ($677–$1,912) n=25,670 | $914 ($696–$1,261) n=706 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | WI median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 81.4 yr ± 1.52 | 78.9 yr (74.7–82.8) n=31,308 | 80.4 yr (77.7–83.6) n=712 |
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 1.52 years of 81.4, 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