ZIP code
49795
in Vanderbilt, MichiganPopulation 1,884
45.60/ 100
Ranked #21,772 of 32,066 US ZIPs (bottom 32%)
Ranked #765 of 973 Michigan ZIPs (bottom 21%)
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.
Elder-services access
0.48 per 1,000 residents
in the top 2.5% nationally
Higher is healthier
ST98thUS98thDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Fatal road crashes
53.1 per 100,000 residents per year
in the top 3.2% nationally
Lower is healthier
ST99thUS97thDefinition & 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 ›Distance to an emergency room
16.2 mi
in the top 9.4% nationally
Lower is healthier
ST93rdUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Recreation access
0.96 per 1,000 residents
in the top 9.7% nationally
Higher is healthier
ST93rdUS90thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Arsenic in groundwater
1.4%
in the bottom 10.3% nationally
Lower is healthier
ST6thUS10thDefinition & 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 ›Tree cover
65.6%
in the top 11.5% nationally
Higher is healthier
ST97thUS89thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Slow internet speeds
0.55%
in the top 19% nationally
Lower is healthier
ST91stUS81stDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›The read
In overall standing, Vanderbilt, Michigan (ZIP 49795) comes out in the bottom 32% nationally (21,772nd) and the bottom 21% of Michigan (765th), based on limited data; treat as directional.
The profile opens balanced, with readings on either hand: elder services settles in the top 2.5% nationally. Modeled extreme heat registers at the national minimum, shared with about 19% of ZIPs. Recreation stands in the top 9.7% nationally, and modeled arsenic lands in the bottom 10.3% nationally. Distance to a hazardous-chemical facility is in the top 10.3% nationally, and modeled humid heat resides in the bottom 10.9% nationally. Distance to a community health center rests at the national minimum, shared with about 23% of ZIPs. Modeled tree cover lies in the top 11.5% nationally. By contrast, fatal road crashes sits in the top 3.2% nationally, and distance to an emergency room settles in the top 9.4% nationally.
Relative to the ZIPs around it, park land runs far lower than the surrounding ZIPs on this measure. In plain terms, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. The nearest healthier ZIP overall is ZIP 49713, 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
Environmental Hazard
healthier than 83%
14%
Preventive Care
healthier than 64%
13%
Climate / Disaster RiskPartial
in the top 0.9%
5%
About typical
Healthcare Access
healthier than 52%
5%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Social Need / SDOH
healthier than 30%
16%
Risk Behavior
healthier than 35%
11%
Mental Health
healthier than 12%
8%
Disability
healthier than 28%
7%
Lifting this score
Environmental Hazard
healthier than 78%
14%
Climate / Disaster RiskPartial
in the top 0.7%
5%
About typical
Healthcare Access
healthier than 55%
5%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Social Need / SDOH
healthier than 32%
16%
Preventive Care
healthier than 29%
13%
Risk Behavior
healthier than 21%
11%
Mental Health
healthier than 25%
8%
Disability
healthier than 18%
7%
“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
49709
Michiganshares a border
Score 45.54
Closest healthier
49713
Michiganshares a border
Score 54.02
Similar health profile
49688
Michigan99% similar profile
Score 46.71
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 | 34.5% | 31.2–37.7 |
| High blood pressure among adults | 40.9% | 37.0–44.8 |
| Cancer (non-skin) or melanoma among adults | 10.6% | 9.6–11.5 |
| Current asthma among adults | 11.9% | 10.6–13.3 |
| Coronary heart disease among adults | 9.1% | 8.2–10.2 |
| Chronic obstructive pulmonary disease among adults | 11.2% | 9.8–12.7 |
| Depression among adults | 28.1% | 24.5–31.8 |
| Diagnosed diabetes among adults | 14.1% | 12.4–15.9 |
| High cholesterol among adults who have ever been screened | 38.6% | 34.6–42.6 |
| Obesity among adults | 40.5% | 33.3–47.8 |
| Stroke among adults | 4.5% | 4.1–5.0 |
| All teeth lost among adults aged >=65 years | 13.6% | 11.3–15.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.2% | 5.8–8.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.0% | 76.3–81.3 |
| Visits to doctor for routine checkup within the past year among adults | 80.8% | 77.6–83.3 |
| Cholesterol screening among adults | 86.8% | 85.1–88.4 |
| Colorectal cancer screening among adults aged 45–75 years | 68.7% | 64.4–72.7 |
| Visited dentist or dental clinic in the past year among adults | 64.1% | 60.9–67.2 |
| Mammography use among women aged 50-74 years | 72.8% | 65.3–79.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.8% | 13.3–18.5 |
| Current cigarette smoking among adults | 18.4% | 15.7–21.2 |
| No leisure-time physical activity among adults | 29.0% | 24.7–33.7 |
| Short sleep duration among adults | 35.0% | 29.3–40.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 22.8% | 19.9–25.9 |
| Frequent mental distress among adults | 18.8% | 16.8–20.8 |
| Frequent physical distress among adults | 16.8% | 14.9–18.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.4% | 14.5–18.3 |
| Any disability among adults | 36.9% | 32.7–41.4 |
| Hearing disability among adults | 9.6% | 8.6–10.6 |
| Independent living disability among adults | 10.3% | 9.1–11.5 |
| Mobility disability among adults | 17.7% | 15.5–20.2 |
| Self-care disability among adults | 4.8% | 4.3–5.4 |
| Vision disability among adults | 5.8% | 5.2–6.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.3% | 19.3–25.5 |
| Food insecurity in the past 12 months among adults | 15.9% | 13.6–18.7 |
| Received food stamps in the past 12 months among adults | 16.1% | 13.6–18.8 |
| Housing insecurity in the past 12 months among adults | 11.4% | 9.8–13.1 |
| Lack of reliable transportation in the past 12 months among adults | 8.5% | 7.5–9.7 |
| Loneliness among adults | 31.9% | 27.4–36.5 |
| Utility services shut-off threat in the past 12 months among adults | 8.6% | 7.6–9.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 18.2% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (4.3–22.3%) n=974 |
| Uninsured 18–64 | 11.9% | 9.0% (1.5–24.3%) n=32,286 | 6.8% (2.5–13.5%) n=975 |
| No HS diploma (25+) | 12.8% | 7.9% (1.8–20.7%) n=32,505 | 6.7% (2.5–14.2%) n=974 |
| Bachelor's or higher (25+) | 15.5% | 23.3% (9.2–53.6%) n=32,505 | 22.1% (11.4–48.3%) n=974 |
| Unemployment rate (16+) | 5.9% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (1.3–10.0%) n=974 |
| Households without a vehicle | 7.2% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.9–10.8%) n=973 |
| Broadband subscription | 88.9% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (79.5–95.5%) n=973 |
| Housing cost burden (≥30% income) | 24.5% | 23.7% (10.6–40.0%) n=32,322 | 22.5% (14.8–32.9%) n=973 |
| Homeownership rate | 76.2% | 78.7% (51.7–94.0%) n=32,322 | 85.3% (62.2–94.6%) n=973 |
| Crowded housing (>1 per room) | 2.6% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.6%) n=973 |
| Foreign-born population | 2.4% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.3–10.0%) n=975 |
| Single-parent households | 63.8% | 53.6% (37.3–74.1%) n=32,087 | 56.5% (43.6–74.2%) n=970 |
| Population 65+ | 18.7% | 19.4% (10.8–33.6%) n=32,553 | 20.5% (13.7–35.2%) n=975 |
| Median age | 45.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.6 yr (35.2–58.2) n=974 |
| Median household income | $57,019 | $72,070 ($46,039–$118,707) n=30,318 | $68,216 ($47,282–$105,129) n=962 |
| Median home value | $166,500 | $222,200 ($100,300–$579,820) n=30,049 | $192,350 ($116,360–$355,650) n=952 |
| Median gross rent | $966 | $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 | 78.9 yr ± 1.12 | 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 1.12 years of 78.9, 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