ZIP code
48706
in Bay City, MichiganPopulation 38,974
50.89/ 100
Ranked #15,016 of 32,066 US ZIPs (top 47%)
Ranked #452 of 973 Michigan ZIPs (top 46%)
Too few scored ZIPs in the Bay City, MI metro area to rank within it.
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.
Distance to a Superfund site
In this ZIP
at the national minimum
Higher is healthier
ST1stUS1stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Expected annual disaster loss
$0
in the top 4.7% nationally
Lower is healthier
ST99thUS95thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Natural-disaster risk
in the top 6.7% nationally
Lower is healthier
ST99thUS93rdDefinition & source ›
This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.
Full methodology ›Lead in tap water
6.1 ppb
in the top 7.5% nationally
Lower is healthier
US93rdDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Radon
1 pCi/L
in the bottom 22% nationally
Lower is healthier
ST7thUS22ndDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›The read
By the composite measure, ZIP 48706, one of several in Bay City, Michigan sits in the top 47% healthiest ZIPs nationally (15,016th) and the top 46% of Michigan (452nd), based on limited data; treat as directional.
The profile cuts both ways, and the readings bear that out: distance to a community health center lands at the national minimum, shared with about 23% of ZIPs. Subsidized affordable housing resides in the top 13.4% nationally. Distance to a nursing home lies at the national minimum, shared with about 27% of ZIPs. Dental providers settles in the top 13.7% nationally, and physicians stands in the top 14.5% nationally. Working the other way, distance to a Superfund site is at the national minimum, and modeled expected annual loss rests in the top 4.7% nationally. Modeled disaster risk sits in the top 6.7% nationally, and lead in tap water registers in the top 7.5% nationally. Distance to a hazardous-chemical facility lands at the national minimum, shared with about 31% of ZIPs.
Compared with the ZIPs that surround it, expected annual loss runs far higher than the surrounding ZIPs on this measure. In plain language, distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. ZIP 48611, just across the boundary, ranks healthier overall.
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 Bay City, MI metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Preventive Care
healthier than 82%
13%
Risk Behavior
healthier than 63%
11%
Climate / Disaster RiskPartial
healthier than 93%
5%
Healthcare Access
healthier than 90%
5%
About typical
Social Need / SDOH
healthier than 44%
16%
Disability
healthier than 46%
7%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Environmental Hazard
healthier than 29%
14%
Mental Health
healthier than 23%
8%
Lifting this score
Risk Behavior
healthier than 61%
11%
Climate / Disaster RiskPartial
healthier than 80%
5%
Healthcare Access
healthier than 91%
5%
About typical
Chronic Disease Burden
healthier than 41%
21%
Social Need / SDOH
healthier than 48%
16%
Preventive Care
healthier than 58%
13%
Mental Health
healthier than 59%
8%
Disability
healthier than 45%
7%
Holding it back
Environmental Hazard
healthier than 18%
14%
Lifting this score
Climate / Disaster RiskPartial
healthier than 88%
5%
Healthcare Access
healthier than 97%
5%
About typical
Social Need / SDOH
healthier than 56%
16%
Preventive Care
healthier than 41%
13%
Risk Behavior
healthier than 57%
11%
Mental Health
healthier than 54%
8%
Holding it back
Chronic Disease Burden
healthier than 21%
21%
Environmental Hazard
healthier than 4%
14%
Disability
healthier than 37%
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
48604
Michiganshares a border
Score 40.47
Closest healthier
48611
Michiganshares a border
Score 58.37
Similar health profile
04983
Maine97% similar profile
Score 50.02
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 | 33.1% | 29.6–36.8 |
| High blood pressure among adults | 38.0% | 33.8–42.3 |
| Cancer (non-skin) or melanoma among adults | 10.6% | 9.6–11.6 |
| Current asthma among adults | 11.6% | 10.3–13.2 |
| Coronary heart disease among adults | 7.9% | 7.1–8.8 |
| Chronic obstructive pulmonary disease among adults | 9.3% | 8.4–10.4 |
| Depression among adults | 26.9% | 23.2–31.1 |
| Diagnosed diabetes among adults | 12.6% | 10.9–14.5 |
| High cholesterol among adults who have ever been screened | 36.6% | 32.4–41.1 |
| Obesity among adults | 37.5% | 30.4–45.1 |
| Stroke among adults | 4.0% | 3.7–4.3 |
| All teeth lost among adults aged >=65 years | 11.8% | 9.5–14.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.9% | 5.9–8.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.0% | 76.1–81.8 |
| Visits to doctor for routine checkup within the past year among adults | 80.4% | 77.1–83.6 |
| Cholesterol screening among adults | 87.9% | 86.3–89.4 |
| Colorectal cancer screening among adults aged 45–75 years | 70.6% | 65.9–74.9 |
| Visited dentist or dental clinic in the past year among adults | 67.2% | 63.7–70.4 |
| Mammography use among women aged 50-74 years | 78.1% | 70.9–84.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.4% | 12.6–18.5 |
| Current cigarette smoking among adults | 15.3% | 13.2–17.8 |
| No leisure-time physical activity among adults | 26.1% | 22.0–30.8 |
| Short sleep duration among adults | 33.6% | 27.9–39.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.6% | 17.1–22.4 |
| Frequent mental distress among adults | 17.4% | 15.5–19.7 |
| Frequent physical distress among adults | 15.0% | 13.3–17.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.8% | 13.2–16.7 |
| Any disability among adults | 32.4% | 28.3–36.9 |
| Hearing disability among adults | 8.6% | 7.7–9.7 |
| Independent living disability among adults | 9.1% | 8.1–10.2 |
| Mobility disability among adults | 15.3% | 13.4–17.4 |
| Self-care disability among adults | 4.0% | 3.7–4.4 |
| Vision disability among adults | 5.0% | 4.6–5.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.5% | 18.2–24.8 |
| Food insecurity in the past 12 months among adults | 13.9% | 11.9–16.1 |
| Received food stamps in the past 12 months among adults | 13.2% | 11.3–15.2 |
| Housing insecurity in the past 12 months among adults | 10.2% | 8.8–11.8 |
| Lack of reliable transportation in the past 12 months among adults | 7.5% | 6.6–8.4 |
| Loneliness among adults | 31.1% | 26.3–36.1 |
| Utility services shut-off threat in the past 12 months among adults | 7.7% | 6.6–8.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 12.3% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (4.3–22.3%) n=974 |
| Uninsured 18–64 | 6.2% | 9.0% (1.5–24.3%) n=32,286 | 6.8% (2.5–13.5%) n=975 |
| No HS diploma (25+) | 7.2% | 7.9% (1.8–20.7%) n=32,505 | 6.7% (2.5–14.2%) n=974 |
| Bachelor's or higher (25+) | 24.7% | 23.3% (9.2–53.6%) n=32,505 | 22.1% (11.4–48.3%) n=974 |
| Unemployment rate (16+) | 3.7% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (1.3–10.0%) n=974 |
| Households without a vehicle | 4.6% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.9–10.8%) n=973 |
| Broadband subscription | 90.4% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (79.5–95.5%) n=973 |
| Housing cost burden (≥30% income) | 24.1% | 23.7% (10.6–40.0%) n=32,322 | 22.5% (14.8–32.9%) n=973 |
| Homeownership rate | 78.2% | 78.7% (51.7–94.0%) n=32,322 | 85.3% (62.2–94.6%) n=973 |
| Crowded housing (>1 per room) | 0.2% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.6%) n=973 |
| Foreign-born population | 1.0% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.3–10.0%) n=975 |
| Single-parent households | 55.3% | 53.6% (37.3–74.1%) n=32,087 | 56.5% (43.6–74.2%) n=970 |
| Population 65+ | 23.6% | 19.4% (10.8–33.6%) n=32,553 | 20.5% (13.7–35.2%) n=975 |
| Median age | 44.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.6 yr (35.2–58.2) n=974 |
| Median household income | $62,747 | $72,070 ($46,039–$118,707) n=30,318 | $68,216 ($47,282–$105,129) n=962 |
| Median home value | $155,800 | $222,200 ($100,300–$579,820) n=30,049 | $192,350 ($116,360–$355,650) n=952 |
| Median gross rent | $922 | $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 ± 0.45 | 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 0.45 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