ZIP code
49946
in Lanse, MichiganPopulation 3,757
48.54/ 100
Ranked #18,247 of 32,066 US ZIPs (bottom 43%)
Ranked #602 of 973 Michigan 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.
Mental-health provider access
0.79 per 1,000 residents
in the top 0.4% nationally
Higher is healthier
ST99thUS99thDefinition & 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
1.1 per 1,000 residents
in the top 1.7% nationally
Higher is healthier
ST99thUS98thDefinition & 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 ›Elder-services access
0.53 per 1,000 residents
in the top 2.2% 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 ›Air-toxics cancer risk
10 per million
in the bottom 2.8% nationally
Lower is healthier
ST1stUS3rdDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Pharmacy access
0.53 per 1,000 residents
in the top 4.5% nationally
Higher is healthier
ST96thUS96thDefinition & source ›
The number of pharmacies 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 ›Grocery access
0.26 per 1,000 residents
in the top 4.5% nationally
Higher is healthier
ST97thUS96thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Distance to a hazardous-chemical facility
18.8 mi
in the top 5.4% nationally
Higher is healthier
ST92ndUS95thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest facility that handles enough hazardous chemicals to require an EPA risk-management plan for accidental releases.
Full methodology ›Humid extreme heat
8.8 days/year
in the bottom 5.9% nationally
Lower is healthier
ST7thUS6thDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›Recreation access
1.1 per 1,000 residents
in the top 7.9% nationally
Higher is healthier
ST95thUS92ndDefinition & 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 ›Fine-particle (PM2.5) exceedance
1.1%
in the top 8.6% nationally
Lower is healthier
ST99thUS91stDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›The read
Lanse, Michigan (ZIP 49946), on the composite measure, lands in the bottom 43% nationally (18,247th) and the bottom 38% of Michigan (602nd), based on limited data; treat as directional.
The main burdens in the data show plainly and lead the picture: mental-health providers rests in the top 0.4% nationally. More positively, outpatient sits in the top 1.7% nationally, elder services registers in the top 2.2% nationally, and modeled air-toxics cancer risk lands in the bottom 2.8% nationally. Pharmacy resides in the top 4.5% nationally, and grocery lies in the top 4.5% nationally. Distance to an emergency room settles at the national minimum, shared with about 11% of ZIPs. Distance to a hazardous-chemical facility stands in the top 5.4% nationally, and modeled humid heat is in the bottom 5.9% nationally. Recreation rests in the top 7.9% nationally.
Set against the neighboring ZIPs, mental-health providers runs far higher than the surrounding ZIPs on this measure. In everyday language, air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. 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. Humid heat is a modeled heat-stress measure combining temperature, humidity, sun, and wind to gauge heat on the body outdoors. A healthier neighbor overall sits at ZIP 49958, 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
Social Need / SDOH
healthier than 61%
16%
Environmental Hazard
healthier than 95%
14%
Preventive Care
healthier than 83%
13%
Climate / Disaster RiskPartial
in the top 0.00%
5%
About typical
Risk Behavior
healthier than 50%
11%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Mental Health
healthier than 18%
8%
Disability
healthier than 32%
7%
Healthcare Access
healthier than 13%
5%
Lifting this score
Social Need / SDOH
healthier than 65%
16%
Environmental Hazard
healthier than 93%
14%
Climate / Disaster RiskPartial
in the top 0.00%
5%
About typical
Preventive Care
healthier than 59%
13%
Risk Behavior
healthier than 41%
11%
Mental Health
healthier than 45%
8%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Disability
healthier than 23%
7%
Healthcare Access
healthier than 7%
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
49861
Michiganshares a border
Score 44.34
Closest healthier
49958
Michiganshares a border
Score 50.76
Similar health profile
24280
Virginia98% similar profile
Score 48.66
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 | 35.6% | 31.8–39.5 |
| High blood pressure among adults | 40.8% | 36.2–45.3 |
| Cancer (non-skin) or melanoma among adults | 11.2% | 10.1–12.3 |
| Current asthma among adults | 12.2% | 10.8–13.7 |
| Coronary heart disease among adults | 9.2% | 8.2–10.3 |
| Chronic obstructive pulmonary disease among adults | 10.5% | 9.1–11.8 |
| Depression among adults | 27.5% | 23.5–31.6 |
| Diagnosed diabetes among adults | 14.3% | 12.4–16.3 |
| High cholesterol among adults who have ever been screened | 39.1% | 34.5–43.7 |
| Obesity among adults | 38.6% | 30.1–47.3 |
| Stroke among adults | 4.6% | 4.1–5.0 |
| All teeth lost among adults aged >=65 years | 14.0% | 11.3–16.9 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.4% | 5.3–7.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.4% | 77.5–82.9 |
| Visits to doctor for routine checkup within the past year among adults | 81.2% | 78.0–84.3 |
| Cholesterol screening among adults | 88.6% | 87.0–90.0 |
| Colorectal cancer screening among adults aged 45–75 years | 70.8% | 65.8–75.3 |
| Visited dentist or dental clinic in the past year among adults | 67.7% | 64.2–70.9 |
| Mammography use among women aged 50-74 years | 74.8% | 66.9–81.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.2% | 12.5–18.2 |
| Current cigarette smoking among adults | 17.2% | 14.6–19.7 |
| No leisure-time physical activity among adults | 26.9% | 22.3–31.9 |
| Short sleep duration among adults | 34.9% | 28.3–42.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.8% | 18.8–24.9 |
| Frequent mental distress among adults | 17.9% | 15.8–20.1 |
| Frequent physical distress among adults | 16.6% | 14.6–18.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.2% | 13.3–17.2 |
| Any disability among adults | 36.1% | 31.4–41.0 |
| Hearing disability among adults | 9.9% | 8.8–11.1 |
| Independent living disability among adults | 9.7% | 8.5–10.9 |
| Mobility disability among adults | 17.6% | 15.1–20.1 |
| Self-care disability among adults | 4.5% | 4.0–5.0 |
| Vision disability among adults | 5.7% | 5.0–6.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.7% | 19.5–26.4 |
| Food insecurity in the past 12 months among adults | 14.9% | 12.7–17.2 |
| Received food stamps in the past 12 months among adults | 14.1% | 12.1–16.4 |
| Housing insecurity in the past 12 months among adults | 11.0% | 9.5–12.7 |
| Lack of reliable transportation in the past 12 months among adults | 8.2% | 7.3–9.3 |
| Loneliness among adults | 31.7% | 27.0–37.0 |
| Utility services shut-off threat in the past 12 months among adults | 8.3% | 7.2–9.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 15.6% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (4.3–22.3%) n=974 |
| Uninsured 18–64 | 6.1% | 9.0% (1.5–24.3%) n=32,286 | 6.8% (2.5–13.5%) n=975 |
| No HS diploma (25+) | 7.1% | 7.9% (1.8–20.7%) n=32,505 | 6.7% (2.5–14.2%) n=974 |
| Bachelor's or higher (25+) | 17.5% | 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 | 6.8% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.9–10.8%) n=973 |
| Broadband subscription | 84.6% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (79.5–95.5%) n=973 |
| Housing cost burden (≥30% income) | 22.1% | 23.7% (10.6–40.0%) n=32,322 | 22.5% (14.8–32.9%) n=973 |
| Homeownership rate | 79.1% | 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 | 1.3% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.3–10.0%) n=975 |
| Single-parent households | 60.7% | 53.6% (37.3–74.1%) n=32,087 | 56.5% (43.6–74.2%) n=970 |
| Population 65+ | 27.9% | 19.4% (10.8–33.6%) n=32,553 | 20.5% (13.7–35.2%) n=975 |
| Median age | 49.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.6 yr (35.2–58.2) n=974 |
| Median household income | $55,341 | $72,070 ($46,039–$118,707) n=30,318 | $68,216 ($47,282–$105,129) n=962 |
| Median home value | $130,900 | $222,200 ($100,300–$579,820) n=30,049 | $192,350 ($116,360–$355,650) n=952 |
| Median gross rent | $663 | $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 | 77.2 yr ± 1.21 | 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 1.21 years of 77.2, 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