ZIP code
49448
in Nunica, MichiganPopulation 4,374
58.37/ 100
Ranked #6,091 of 32,066 US ZIPs (top 19%)
Ranked #154 of 973 Michigan ZIPs (top 16%)
Ranked #22 of 79 Grand Rapids-Wyoming-Kentwood, MI ZIPs (top 28%)
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.
Mental-health provider access
0.25 per 1,000 residents
in the top 2.9% nationally
Higher is healthier
ST97thUS97thDefinition & source ›
The number of mental-health clinics located 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 ›Outpatient-care access
0.5 per 1,000 residents
in the top 7.9% nationally
Higher is healthier
ST94thUS92ndDefinition & source ›
The number of outpatient clinics located 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
2.8%
in the bottom 9.1% nationally
Lower is healthier
ST4thUS9thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Housing-cost burden
10.7%
in the bottom 10.2% nationally
Lower is healthier
ST3rdUS10thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Fatal road crashes
32 per 100,000 residents per year
in the top 11.7% nationally
Lower is healthier
ST94thUS88thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Binge drinking
18.7%
in the top 13.4% nationally
Lower is healthier
ST97thUS87thDefinition & 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 ›Diabetes
9.5%
in the bottom 12.2% nationally
Lower is healthier
ST9thUS12thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Home broadband subscription
95.6%
in the top 16% nationally
Higher is healthier
ST91stUS84thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›High blood pressure
32.4%
in the bottom 20% nationally
Lower is healthier
ST10thUS20thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›The read
Nunica, Michigan (ZIP 49448), by its composite score, sits in the top 19% healthiest ZIPs nationally (6,091st) and the top 16% of Michigan (154th).
Where the data is kindest to this area, a few readings lead the way: mental-health providers lies in the top 2.9% nationally, and outpatient rests in the top 7.9% nationally. Poverty resides in the bottom 9.1% nationally, and housing-cost burden is in the bottom 10.2% nationally. Modeled short sleep lands in the bottom 11.0% nationally, colon screening stands in the top 12.8% nationally, and diabetes registers in the bottom 12.2% nationally. On the other hand, fatal road crashes settles in the top 11.7% nationally, modeled binge drinking sits in the top 13.4% nationally, and modeled industrial-pollution burden lies in the top 15% nationally.
Next to the surrounding area, park land runs far lower than the surrounding ZIPs on this measure. For anyone unfamiliar, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. For a healthier comparison close by, see ZIP 49417, 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. Compare it against the US, this state and the Grand Rapids-Wyoming-Kentwood, MI metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Chronic Disease Burden
healthier than 73%
21%
Social Need / SDOH
healthier than 82%
16%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 75%
11%
Disability
healthier than 79%
7%
Climate / Disaster Risk
healthier than 71%
5%
About typical
Environmental Hazard
healthier than 57%
14%
Healthcare Access
healthier than 55%
5%
Holding it back
Mental Health
healthier than 27%
8%
Lifting this score
Chronic Disease Burden
healthier than 84%
21%
Social Need / SDOH
healthier than 85%
16%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 64%
8%
Disability
healthier than 83%
7%
About typical
Environmental Hazard
healthier than 46%
14%
Preventive Care
healthier than 60%
13%
Healthcare Access
healthier than 57%
5%
Holding it back
Climate / Disaster Risk
healthier than 23%
5%
Lifting this score
Social Need / SDOH
healthier than 72%
16%
Preventive Care
healthier than 69%
13%
Risk Behavior
healthier than 69%
11%
Mental Health
healthier than 69%
8%
Disability
healthier than 69%
7%
About typical
Chronic Disease Burden
healthier than 52%
21%
Environmental Hazard
healthier than 41%
14%
Healthcare Access
healthier than 56%
5%
Holding it back
Climate / Disaster Risk
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 ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
49404
Michiganshares a border
Score 55.22
Closest healthier
49417
Michiganshares a border
Score 60.18
Similar health profile
49071
Michigan99% similar profile
Score 59.37
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 | 26.5% | 23.8–29.3 |
| High blood pressure among adults | 32.4% | 29.2–35.8 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 8.1–9.8 |
| Current asthma among adults | 11.2% | 10.0–12.5 |
| Coronary heart disease among adults | 6.0% | 5.3–6.8 |
| Chronic obstructive pulmonary disease among adults | 6.9% | 5.9–8.1 |
| Depression among adults | 26.9% | 23.7–30.3 |
| Diagnosed diabetes among adults | 9.5% | 8.3–10.9 |
| High cholesterol among adults who have ever been screened | 33.6% | 30.3–37.1 |
| Obesity among adults | 33.9% | 29.0–39.2 |
| Stroke among adults | 3.0% | 2.6–3.4 |
| All teeth lost among adults aged >=65 years | 11.6% | 9.5–13.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.8% | 4.5–7.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.3% | 73.2–79.1 |
| Visits to doctor for routine checkup within the past year among adults | 80.5% | 77.5–83.2 |
| Cholesterol screening among adults | 87.9% | 86.0–89.6 |
| Colorectal cancer screening among adults aged 45–75 years | 71.5% | 67.4–75.4 |
| Visited dentist or dental clinic in the past year among adults | 73.4% | 70.5–76.1 |
| Mammography use among women aged 50-74 years | 75.8% | 69.0–81.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.7% | 16.0–21.6 |
| Current cigarette smoking among adults | 13.2% | 10.8–16.0 |
| No leisure-time physical activity among adults | 20.1% | 16.9–23.8 |
| Short sleep duration among adults | 30.3% | 26.0–34.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.5% | 13.2–18.2 |
| Frequent mental distress among adults | 16.9% | 14.8–19.1 |
| Frequent physical distress among adults | 12.8% | 11.2–14.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.5% | 11.5–15.5 |
| Any disability among adults | 28.5% | 24.8–32.5 |
| Hearing disability among adults | 6.7% | 5.9–7.6 |
| Independent living disability among adults | 7.2% | 6.2–8.3 |
| Mobility disability among adults | 11.5% | 9.7–13.4 |
| Self-care disability among adults | 3.0% | 2.6–3.5 |
| Vision disability among adults | 3.7% | 3.2–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.8% | 18.7–25.4 |
| Food insecurity in the past 12 months among adults | 10.7% | 8.5–13.2 |
| Received food stamps in the past 12 months among adults | 9.3% | 7.2–11.6 |
| Housing insecurity in the past 12 months among adults | 8.9% | 7.3–10.7 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 5.2–7.3 |
| Loneliness among adults | 30.9% | 27.0–35.6 |
| 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) | MI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 2.8% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (4.3–22.3%) n=974 |
| Uninsured 18–64 | 1.8% | 9.0% (1.5–24.3%) n=32,286 | 6.8% (2.5–13.5%) n=975 |
| No HS diploma (25+) | 5.3% | 7.9% (1.8–20.7%) n=32,505 | 6.7% (2.5–14.2%) n=974 |
| Bachelor's or higher (25+) | 39.3% | 23.3% (9.2–53.6%) n=32,505 | 22.1% (11.4–48.3%) n=974 |
| Unemployment rate (16+) | 2.0% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (1.3–10.0%) n=974 |
| Households without a vehicle | 2.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.9–10.8%) n=973 |
| Broadband subscription | 95.6% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (79.5–95.5%) n=973 |
| Housing cost burden (≥30% income) | 10.7% | 23.7% (10.6–40.0%) n=32,322 | 22.5% (14.8–32.9%) n=973 |
| Homeownership rate | 88.5% | 78.7% (51.7–94.0%) n=32,322 | 85.3% (62.2–94.6%) n=973 |
| Crowded housing (>1 per room) | 0.5% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.6%) n=973 |
| Foreign-born population | 0.7% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.3–10.0%) n=975 |
| Single-parent households | 58.0% | 53.6% (37.3–74.1%) n=32,087 | 56.5% (43.6–74.2%) n=970 |
| Population 65+ | 15.4% | 19.4% (10.8–33.6%) n=32,553 | 20.5% (13.7–35.2%) n=975 |
| Median age | 39.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.6 yr (35.2–58.2) n=974 |
| Median household income | $86,458 | $72,070 ($46,039–$118,707) n=30,318 | $68,216 ($47,282–$105,129) n=962 |
| Median home value | $301,300 | $222,200 ($100,300–$579,820) n=30,049 | $192,350 ($116,360–$355,650) n=952 |
| Median gross rent | $778 | $1,021 ($677–$1,912) n=25,670 | $972 ($719–$1,368) n=849 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | MI median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 78.7 yr ± 1.61 | 78.9 yr (74.7–82.8) n=31,308 | 78.6 yr (75.7–81.6) n=940 |
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 1.61 years of 78.7, 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