ZIP code
49457
in Twin Lake, MichiganPopulation 11,086
48.73/ 100
Ranked #18,039 of 32,066 US ZIPs (bottom 44%)
Ranked #589 of 973 Michigan ZIPs (bottom 39%)
Ranked #8 of 13 Muskegon-Norton Shores, MI ZIPs (bottom 38%)
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
43.4%
in the top 7.7% nationally
Lower is healthier
ST95thUS92ndDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Tree cover
54.7%
in the top 19% nationally
Higher is healthier
ST91stUS81stDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Binge drinking
17.9%
in the top 20% nationally
Lower is healthier
ST91stUS80thDefinition & 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 ›Floodplain exposure
14.3%
in the top 27% nationally
Lower is healthier
ST92ndUS73rdDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›The read
On the composite measure, Twin Lake, Michigan (ZIP 49457) stands in the bottom 44% nationally (18,039th) and the bottom 39% of Michigan (589th).
A balanced set of signals defines this area, not any single one: homeownership stands in the top 10.7% nationally, and park land sits in the top 10.8% nationally. Modeled humid heat resides in the bottom 17% nationally. Outer-floodplain exposure stands at the national minimum, shared with about 36% of ZIPs. Modeled tree cover sits in the top 19% nationally. By contrast, modeled pfas resides in the top 10.3% nationally, modeled obesity stands in the top 7.7% nationally, and distance to a Superfund site sits in the bottom 14.5% nationally. Modeled industrial-pollution burden resides in the top 15% nationally. Physicians stands at the national minimum, shared with about 38% of ZIPs.
Set beside the wider area around it, park land runs far higher than the surrounding ZIPs on this measure. For clarity, 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. 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. ZIP 49327, just across the boundary, ranks better overall among the ZIPs nearby.
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 69%
14%
Preventive Care
healthier than 61%
13%
Healthcare Access
healthier than 64%
5%
About typical
Chronic Disease Burden
healthier than 45%
21%
Social Need / SDOH
healthier than 52%
16%
Disability
healthier than 53%
7%
Climate / Disaster Risk
healthier than 60%
5%
Holding it back
Risk Behavior
healthier than 26%
11%
Mental Health
healthier than 10%
8%
Lifting this score
Environmental Hazard
healthier than 60%
14%
Healthcare Access
healthier than 68%
5%
About typical
Chronic Disease Burden
healthier than 54%
21%
Social Need / SDOH
healthier than 56%
16%
Disability
healthier than 54%
7%
Holding it back
Preventive Care
healthier than 24%
13%
Risk Behavior
healthier than 14%
11%
Mental Health
healthier than 17%
8%
Climate / Disaster Risk
healthier than 10%
5%
Lifting this score
Social Need / SDOH
healthier than 67%
16%
Preventive Care
healthier than 78%
13%
About typical
Chronic Disease Burden
healthier than 56%
21%
Environmental Hazard
healthier than 56%
14%
Risk Behavior
healthier than 56%
11%
Mental Health
healthier than 44%
8%
Disability
healthier than 56%
7%
Healthcare Access
healthier than 44%
5%
Holding it back
Climate / Disaster Risk
healthier than 11%
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
2 of our published findings list 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 77.4 ± 1.1 years. A median household income of $78,225 predicts 79.1 years — 1.7 years below.
Ranked #2,100 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Below its nearby ZIPs
The ZIP codes that outlive their neighbors
Estimated life expectancy is 77.4 ± 1.1 years. The 49 nearest ZIP codes with estimates average 79.2 years — 1.8 years below them.
Ranked #1,517 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
49327
Michiganshares a border
Score 51.11
Closest healthier
49437
Michiganshares a border
Score 53.96
Similar health profile
43466
Ohio97% similar profile
Score 47.78
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 | 30.3% | 27.4–33.6 |
| High blood pressure among adults | 34.9% | 31.5–38.7 |
| Cancer (non-skin) or melanoma among adults | 8.9% | 8.1–9.8 |
| Current asthma among adults | 12.1% | 10.8–13.5 |
| Coronary heart disease among adults | 7.0% | 6.3–7.8 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 8.0–10.0 |
| Depression among adults | 29.0% | 25.5–32.9 |
| Diagnosed diabetes among adults | 11.8% | 10.3–13.5 |
| High cholesterol among adults who have ever been screened | 35.6% | 31.9–39.6 |
| Obesity among adults | 43.4% | 37.4–50.0 |
| Stroke among adults | 3.6% | 3.3–3.9 |
| All teeth lost among adults aged >=65 years | 11.5% | 9.4–14.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.7% | 5.7–8.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.0% | 73.0–78.9 |
| Visits to doctor for routine checkup within the past year among adults | 78.8% | 75.5–82.0 |
| Cholesterol screening among adults | 86.6% | 84.9–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 67.4% | 62.8–71.8 |
| Visited dentist or dental clinic in the past year among adults | 67.5% | 64.1–70.9 |
| Mammography use among women aged 50-74 years | 74.9% | 67.7–81.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.9% | 15.0–21.2 |
| Current cigarette smoking among adults | 17.7% | 15.3–20.2 |
| No leisure-time physical activity among adults | 26.1% | 22.5–30.2 |
| Short sleep duration among adults | 36.7% | 31.3–42.3 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.1% | 17.8–22.7 |
| Frequent mental distress among adults | 18.8% | 16.9–21.0 |
| Frequent physical distress among adults | 14.9% | 13.3–16.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.3% | 13.7–17.1 |
| Any disability among adults | 32.1% | 28.4–36.2 |
| Hearing disability among adults | 7.4% | 6.7–8.3 |
| Independent living disability among adults | 9.0% | 8.1–10.0 |
| Mobility disability among adults | 14.0% | 12.4–15.9 |
| Self-care disability among adults | 3.9% | 3.6–4.3 |
| Vision disability among adults | 4.8% | 4.4–5.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.0% | 18.9–25.5 |
| Food insecurity in the past 12 months among adults | 14.2% | 12.1–16.5 |
| Received food stamps in the past 12 months among adults | 14.2% | 12.1–16.4 |
| Housing insecurity in the past 12 months among adults | 11.3% | 9.8–13.2 |
| Lack of reliable transportation in the past 12 months among adults | 7.9% | 7.0–9.1 |
| Loneliness among adults | 31.4% | 27.0–36.2 |
| Utility services shut-off threat in the past 12 months among adults | 8.5% | 7.4–9.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.5% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (4.3–22.3%) n=974 |
| Uninsured 18–64 | 4.7% | 9.0% (1.5–24.3%) n=32,286 | 6.8% (2.5–13.5%) n=975 |
| No HS diploma (25+) | 5.8% | 7.9% (1.8–20.7%) n=32,505 | 6.7% (2.5–14.2%) n=974 |
| Bachelor's or higher (25+) | 20.6% | 23.3% (9.2–53.6%) n=32,505 | 22.1% (11.4–48.3%) n=974 |
| Unemployment rate (16+) | 6.5% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (1.3–10.0%) n=974 |
| Households without a vehicle | 3.4% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.9–10.8%) n=973 |
| Broadband subscription | 90.2% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (79.5–95.5%) n=973 |
| Housing cost burden (≥30% income) | 19.7% | 23.7% (10.6–40.0%) n=32,322 | 22.5% (14.8–32.9%) n=973 |
| Homeownership rate | 93.6% | 78.7% (51.7–94.0%) n=32,322 | 85.3% (62.2–94.6%) n=973 |
| Crowded housing (>1 per room) | 1.6% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.6%) n=973 |
| Foreign-born population | 1.6% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.3–10.0%) n=975 |
| Single-parent households | 61.9% | 53.6% (37.3–74.1%) n=32,087 | 56.5% (43.6–74.2%) n=970 |
| Population 65+ | 17.2% | 19.4% (10.8–33.6%) n=32,553 | 20.5% (13.7–35.2%) n=975 |
| Median age | 43.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.6 yr (35.2–58.2) n=974 |
| Median household income | $78,225 | $72,070 ($46,039–$118,707) n=30,318 | $68,216 ($47,282–$105,129) n=962 |
| Median home value | $222,300 | $222,200 ($100,300–$579,820) n=30,049 | $192,350 ($116,360–$355,650) n=952 |
| Median gross rent | $1,105 | $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 | 77.4 yr ± 0.58 | 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 0.58 years of 77.4, 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