ZIP code
49303
in Bailey, MichiganPopulation 772
48.73/ 100
Ranked #18,034 of 32,066 US ZIPs (bottom 44%)
Ranked #588 of 973 Michigan ZIPs (bottom 40%)
Ranked #7 of 13 Muskegon-Norton Shores, MI ZIPs (bottom 46%)
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.
Floodplain exposure
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Natural-disaster risk
in the bottom 5.3% nationally
Lower is healthier
ST9thUS5thDefinition & 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 ›Distance to a nursing home
11.5 mi
in the top 8.6% nationally
Lower is healthier
ST94thUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Crowded housing
6.7%
in the top 9.1% nationally
Lower is healthier
ST98thUS91stDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Obesity
43%
in the top 9.0% nationally
Lower is healthier
ST94thUS91stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Binge drinking
18.8%
in the top 12.7% nationally
Lower is healthier
ST97thUS87thDefinition & 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 ›Expected annual disaster loss
$0
in the bottom 17% nationally
Lower is healthier
ST9thUS17thDefinition & 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 ›The read
Bailey, Michigan (ZIP 49303) ranks in the bottom 44% nationally (18,034th) and the bottom 40% of Michigan (588th).
A profile of give and take, with clear readings each way: floodplain exposure sits at the national minimum, and modeled disaster risk resides in the bottom 5.3% nationally. Households without a vehicle stands at the national minimum, shared with about 16% of ZIPs. Distance to a hazardous-chemical facility sits in the top 13.4% nationally, and modeled expected annual loss resides in the bottom 17% nationally. On the other side, distance to a nursing home stands in the top 8.6% nationally, crowded housing sits in the top 9.1% nationally, and modeled obesity resides in the top 9.0% nationally. Modeled binge drinking stands in the top 12.7% nationally, and home broadband subscription sits in the bottom 17% nationally.
Against its neighbors, park land runs far lower than the surrounding ZIPs on this measure. For context, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. 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. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. The closest ZIP that ranks healthier overall is ZIP 49318, 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 82%
14%
Climate / Disaster Risk
healthier than 94%
5%
About typical
Chronic Disease Burden
healthier than 56%
21%
Preventive Care
healthier than 47%
13%
Disability
healthier than 59%
7%
Holding it back
Social Need / SDOH
healthier than 26%
16%
Risk Behavior
healthier than 21%
11%
Mental Health
healthier than 10%
8%
Healthcare Access
healthier than 28%
5%
Lifting this score
Chronic Disease Burden
healthier than 66%
21%
Environmental Hazard
healthier than 77%
14%
Disability
healthier than 60%
7%
Climate / Disaster Risk
healthier than 82%
5%
Holding it back
Social Need / SDOH
healthier than 27%
16%
Preventive Care
healthier than 14%
13%
Risk Behavior
healthier than 11%
11%
Mental Health
healthier than 18%
8%
Healthcare Access
healthier than 23%
5%
Lifting this score
Chronic Disease Burden
in the top 0.00%
21%
Environmental Hazard
healthier than 89%
14%
Disability
healthier than 89%
7%
Climate / Disaster Risk
healthier than 89%
5%
About typical
Risk Behavior
healthier than 44%
11%
Mental Health
healthier than 56%
8%
Holding it back
Social Need / SDOH
healthier than 33%
16%
Preventive Care
healthier than 33%
13%
Healthcare Access
in the bottom 0.00%
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
49318
Michiganshares a border
Score 50.10
Closest healthier
49327
Michiganshares a border
Score 51.11
Similar health profile
47344
Indiana98% similar profile
Score 47.41
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 | 28.0% | 25.1–31.0 |
| High blood pressure among adults | 32.9% | 29.5–36.5 |
| Cancer (non-skin) or melanoma among adults | 8.0% | 7.2–8.9 |
| Current asthma among adults | 11.8% | 10.5–13.1 |
| Coronary heart disease among adults | 6.4% | 5.5–7.2 |
| Chronic obstructive pulmonary disease among adults | 8.2% | 6.9–9.6 |
| Depression among adults | 28.7% | 25.2–32.4 |
| Diagnosed diabetes among adults | 11.0% | 9.5–12.6 |
| High cholesterol among adults who have ever been screened | 34.1% | 30.7–37.8 |
| Obesity among adults | 43.0% | 36.9–49.1 |
| Stroke among adults | 3.2% | 2.8–3.7 |
| All teeth lost among adults aged >=65 years | 16.2% | 13.4–19.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.7% | 6.0–9.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.8% | 70.5–76.8 |
| Visits to doctor for routine checkup within the past year among adults | 77.4% | 73.9–80.7 |
| Cholesterol screening among adults | 86.0% | 83.7–88.1 |
| Colorectal cancer screening among adults aged 45–75 years | 64.3% | 60.0–68.7 |
| Visited dentist or dental clinic in the past year among adults | 66.5% | 63.2–69.8 |
| Mammography use among women aged 50-74 years | 76.5% | 69.9–82.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.8% | 15.8–22.1 |
| Current cigarette smoking among adults | 17.8% | 14.6–21.2 |
| No leisure-time physical activity among adults | 26.1% | 21.9–30.6 |
| Short sleep duration among adults | 36.8% | 31.7–42.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.0% | 17.0–23.2 |
| Frequent mental distress among adults | 18.9% | 16.6–21.3 |
| Frequent physical distress among adults | 14.5% | 12.6–16.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.5% | 13.3–17.9 |
| Any disability among adults | 31.3% | 27.1–35.5 |
| Hearing disability among adults | 7.0% | 6.1–7.9 |
| Independent living disability among adults | 8.7% | 7.5–10.0 |
| Mobility disability among adults | 13.1% | 11.1–15.3 |
| Self-care disability among adults | 3.7% | 3.2–4.4 |
| Vision disability among adults | 4.7% | 4.1–5.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.6% | 19.1–26.3 |
| Food insecurity in the past 12 months among adults | 14.6% | 11.9–17.6 |
| Received food stamps in the past 12 months among adults | 14.1% | 11.2–17.1 |
| Housing insecurity in the past 12 months among adults | 12.0% | 9.9–14.2 |
| Lack of reliable transportation in the past 12 months among adults | 8.0% | 6.7–9.3 |
| Loneliness among adults | 31.9% | 27.4–36.8 |
| Utility services shut-off threat in the past 12 months among adults | 8.6% | 7.2–10.0 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.7% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (4.3–22.3%) n=974 |
| Uninsured 18–64 | 9.9% | 9.0% (1.5–24.3%) n=32,286 | 6.8% (2.5–13.5%) n=975 |
| No HS diploma (25+) | 11.3% | 7.9% (1.8–20.7%) n=32,505 | 6.7% (2.5–14.2%) n=974 |
| Bachelor's or higher (25+) | 18.4% | 23.3% (9.2–53.6%) n=32,505 | 22.1% (11.4–48.3%) n=974 |
| Unemployment rate (16+) | 3.9% | 3.9% (0.0–9.8%) n=32,274 | 4.6% (1.3–10.0%) n=974 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.5% (0.9–10.8%) n=973 |
| Broadband subscription | 79.9% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (79.5–95.5%) n=973 |
| Housing cost burden (≥30% income) | 20.9% | 23.7% (10.6–40.0%) n=32,322 | 22.5% (14.8–32.9%) n=973 |
| Homeownership rate | 87.4% | 78.7% (51.7–94.0%) n=32,322 | 85.3% (62.2–94.6%) n=973 |
| Crowded housing (>1 per room) | 6.7% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.6%) n=973 |
| Foreign-born population | 3.6% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.3–10.0%) n=975 |
| Single-parent households | 70.3% | 53.6% (37.3–74.1%) n=32,087 | 56.5% (43.6–74.2%) n=970 |
| Population 65+ | 14.2% | 19.4% (10.8–33.6%) n=32,553 | 20.5% (13.7–35.2%) n=975 |
| Median age | 33.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.6 yr (35.2–58.2) n=974 |
| Median household income | $78,917 | $72,070 ($46,039–$118,707) n=30,318 | $68,216 ($47,282–$105,129) n=962 |
| Median home value | $241,700 | $222,200 ($100,300–$579,820) n=30,049 | $192,350 ($116,360–$355,650) n=952 |
| Median gross rent | $756 | $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 | 78.2 yr ± 1.31 | 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 1.31 years of 78.2, 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