ZIP code
49451
in Ravenna, MichiganPopulation 6,298
48.70/ 100
Ranked #18,077 of 32,066 US ZIPs (bottom 44%)
Ranked #591 of 973 Michigan ZIPs (bottom 39%)
Ranked #9 of 13 Muskegon-Norton Shores, MI ZIPs (bottom 31%)
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.
Obesity
42.6%
in the top 10.5% nationally
Lower is healthier
ST93rdUS90thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›The read
In overall standing, Ravenna, Michigan (ZIP 49451) comes out in the bottom 44% nationally (18,077th) and the bottom 39% of Michigan (591st).
The profile opens balanced, with readings on either hand: distance to a community health center stands at the national minimum, shared with about 23% of ZIPs. Homeownership lands in the top 17% nationally. Outer-floodplain exposure is at the national minimum, shared with about 36% of ZIPs. Floodplain exposure resides in the bottom 21% nationally. By contrast, distance to a Superfund site rests in the bottom 13.0% nationally, and modeled obesity lies in the top 10.5% nationally. Modeled industrial-pollution burden sits in the top 19% nationally, and pfas settles in the top 19% nationally. Childcare registers at the national minimum, shared with about 42% of ZIPs. Modeled arsenic stands in the top 22% nationally.
Relative to the ZIPs around it, park land runs far lower than the surrounding ZIPs on this measure. In plain terms, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. 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. The nearest healthier ZIP overall is ZIP 49303, 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 Muskegon-Norton Shores, MI metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 71%
14%
Climate / Disaster Risk
healthier than 89%
5%
About typical
Chronic Disease Burden
healthier than 46%
21%
Preventive Care
healthier than 57%
13%
Disability
healthier than 52%
7%
Healthcare Access
healthier than 56%
5%
Holding it back
Social Need / SDOH
healthier than 39%
16%
Risk Behavior
healthier than 27%
11%
Mental Health
healthier than 10%
8%
Lifting this score
Environmental Hazard
healthier than 63%
14%
Climate / Disaster Risk
healthier than 64%
5%
About typical
Chronic Disease Burden
healthier than 54%
21%
Social Need / SDOH
healthier than 44%
16%
Disability
healthier than 52%
7%
Healthcare Access
healthier than 58%
5%
Holding it back
Preventive Care
healthier than 20%
13%
Risk Behavior
healthier than 15%
11%
Mental Health
healthier than 18%
8%
Lifting this score
Chronic Disease Burden
healthier than 67%
21%
Environmental Hazard
healthier than 67%
14%
Risk Behavior
healthier than 67%
11%
Mental Health
healthier than 67%
8%
Climate / Disaster Risk
healthier than 67%
5%
About typical
Social Need / SDOH
healthier than 56%
16%
Preventive Care
healthier than 56%
13%
Disability
healthier than 44%
7%
Holding it back
Healthcare Access
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
49303
Michiganshares a border
Score 48.73
Closest healthier
49318
Michiganshares a border
Score 50.10
Similar health profile
49070
Michigan99% similar profile
Score 49.16
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 | 30.1% | 27.2–33.2 |
| High blood pressure among adults | 34.6% | 31.2–38.3 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.3–9.9 |
| Current asthma among adults | 12.0% | 10.7–13.4 |
| Coronary heart disease among adults | 7.0% | 6.3–7.7 |
| Chronic obstructive pulmonary disease among adults | 8.9% | 7.9–10.0 |
| Depression among adults | 28.8% | 25.4–32.6 |
| Diagnosed diabetes among adults | 11.5% | 10.1–13.1 |
| High cholesterol among adults who have ever been screened | 35.4% | 31.8–39.2 |
| Obesity among adults | 42.6% | 36.7–48.9 |
| Stroke among adults | 3.6% | 3.3–3.9 |
| All teeth lost among adults aged >=65 years | 12.9% | 10.6–15.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.1% | 6.0–8.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.0% | 73.1–78.8 |
| Visits to doctor for routine checkup within the past year among adults | 78.7% | 75.5–81.7 |
| Cholesterol screening among adults | 86.5% | 84.6–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 67.2% | 62.7–71.6 |
| Visited dentist or dental clinic in the past year among adults | 66.6% | 63.1–70.0 |
| Mammography use among women aged 50-74 years | 74.5% | 67.4–81.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.8% | 15.0–20.9 |
| Current cigarette smoking among adults | 17.5% | 15.0–20.2 |
| No leisure-time physical activity among adults | 26.6% | 22.5–30.7 |
| Short sleep duration among adults | 36.6% | 31.4–42.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.2% | 17.6–22.9 |
| Frequent mental distress among adults | 18.8% | 16.7–20.9 |
| Frequent physical distress among adults | 14.9% | 13.2–16.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.5% | 13.7–17.4 |
| Any disability among adults | 32.5% | 28.6–36.6 |
| Hearing disability among adults | 7.6% | 6.8–8.5 |
| Independent living disability among adults | 9.1% | 8.0–10.2 |
| Mobility disability among adults | 14.2% | 12.3–16.1 |
| Self-care disability among adults | 3.9% | 3.5–4.3 |
| Vision disability among adults | 4.8% | 4.3–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.2% | 19.0–25.7 |
| Food insecurity in the past 12 months among adults | 14.1% | 11.9–16.6 |
| Received food stamps in the past 12 months among adults | 13.9% | 11.7–16.3 |
| Housing insecurity in the past 12 months among adults | 11.3% | 9.6–13.1 |
| Lack of reliable transportation in the past 12 months among adults | 7.8% | 6.8–8.9 |
| Loneliness among adults | 31.8% | 27.3–36.6 |
| Utility services shut-off threat in the past 12 months among adults | 8.2% | 7.0–9.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 8.6% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (4.3–22.3%) n=974 |
| Uninsured 18–64 | 8.3% | 9.0% (1.5–24.3%) n=32,286 | 6.8% (2.5–13.5%) n=975 |
| No HS diploma (25+) | 5.7% | 7.9% (1.8–20.7%) n=32,505 | 6.7% (2.5–14.2%) n=974 |
| Bachelor's or higher (25+) | 18.2% | 23.3% (9.2–53.6%) n=32,505 | 22.1% (11.4–48.3%) n=974 |
| Unemployment rate (16+) | 5.0% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (1.3–10.0%) n=974 |
| Households without a vehicle | 2.2% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.9–10.8%) n=973 |
| Broadband subscription | 89.0% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (79.5–95.5%) n=973 |
| Housing cost burden (≥30% income) | 23.6% | 23.7% (10.6–40.0%) n=32,322 | 22.5% (14.8–32.9%) n=973 |
| Homeownership rate | 90.1% | 78.7% (51.7–94.0%) n=32,322 | 85.3% (62.2–94.6%) n=973 |
| Crowded housing (>1 per room) | 3.4% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.6%) n=973 |
| Foreign-born population | 0.6% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.3–10.0%) n=975 |
| Single-parent households | 51.8% | 53.6% (37.3–74.1%) n=32,087 | 56.5% (43.6–74.2%) n=970 |
| Population 65+ | 13.4% | 19.4% (10.8–33.6%) n=32,553 | 20.5% (13.7–35.2%) n=975 |
| Median age | 37.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.6 yr (35.2–58.2) n=974 |
| Median household income | $71,563 | $72,070 ($46,039–$118,707) n=30,318 | $68,216 ($47,282–$105,129) n=962 |
| Median home value | $211,100 | $222,200 ($100,300–$579,820) n=30,049 | $192,350 ($116,360–$355,650) n=952 |
| Median gross rent | $1,010 | $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 | 78.1 yr ± 0.74 | 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 0.74 years of 78.1, 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