ZIP code
49722
in Conway, MichiganPopulation 73
55.47/ 100
Ranked #8,898 of 32,066 US ZIPs (top 28%)
Ranked #248 of 973 Michigan ZIPs (top 25%)
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.
Natural-disaster risk
in the bottom 0.2% nationally
Lower is healthier
ST1stUS1stDefinition & 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 ›Loud transportation noise
8.0%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Home broadband subscription
53.3%
in the bottom 1.9% nationally
Higher is healthier
ST1stUS2ndDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Transportation noise
21.3%
in the top 2.3% nationally
Lower is healthier
ST99thUS98thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full 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 ›Colon-cancer screening
76.1%
in the top 1.7% nationally
Higher is healthier
ST96thUS98thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Expected annual disaster loss
$0
in the bottom 6.2% nationally
Lower is healthier
ST3rdUS6thDefinition & 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 ›High cholesterol
31.5%
in the bottom 5.5% nationally
Lower is healthier
ST5thUS5thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Industrial-pollution burden
in the bottom 8.6% nationally
Lower is healthier
ST4thUS9thDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Humid extreme heat
12.4 days/year
in the bottom 9.3% nationally
Lower is healthier
ST15thUS9thDefinition & 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 ›The read
Conway, Michigan (ZIP 49722), on the composite measure, lands in the top 28% healthiest ZIPs nationally (8,898th) and the top 25% of Michigan (248th).
The readings split fairly evenly between strengths and concerns: modeled disaster risk lands in the bottom 0.2% nationally, floodplain exposure resides at the national minimum, and modeled colon screening lies in the top 1.7% nationally. Modeled expected annual loss settles in the bottom 6.2% nationally. Unemployment stands at the national minimum, shared with about 15% of ZIPs. Modeled high cholesterol is in the bottom 5.5% nationally. Households without a vehicle rests at the national minimum, shared with about 16% of ZIPs. Working the other way, modeled loud transportation noise sits in the top 0.5% nationally, and home broadband subscription registers in the bottom 1.9% nationally. Modeled transportation noise lands in the top 2.3% nationally.
Set against the neighboring ZIPs, loud transportation noise runs far higher than the surrounding ZIPs on this measure. In everyday language, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. A healthier neighbor overall sits at ZIP 49740, 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
Chronic Disease Burden
healthier than 82%
21%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 64%
11%
Disability
healthier than 84%
7%
Climate / Disaster Risk
healthier than 98%
5%
About typical
Social Need / SDOH
healthier than 44%
16%
Healthcare Access
healthier than 53%
5%
Holding it back
Environmental Hazard
healthier than 17%
14%
Mental Health
healthier than 7%
8%
Lifting this score
Chronic Disease Burden
healthier than 92%
21%
Preventive Care
healthier than 61%
13%
Risk Behavior
healthier than 63%
11%
Disability
healthier than 87%
7%
Climate / Disaster Risk
healthier than 98%
5%
About typical
Social Need / SDOH
healthier than 48%
16%
Healthcare Access
healthier than 56%
5%
Holding it back
Environmental Hazard
healthier than 9%
14%
Mental Health
healthier than 7%
8%
“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
49706
Michiganshares a border
Score 53.18
Closest healthier
49740
Michiganshares a border
Score 62.24
Similar health profile
04087
Maine98% similar profile
Score 52.06
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 | 24.6% | 20.9–28.2 |
| High blood pressure among adults | 29.9% | 25.5–34.2 |
| Cancer (non-skin) or melanoma among adults | 7.7% | 6.8–8.7 |
| Current asthma among adults | 12.2% | 10.6–13.9 |
| Coronary heart disease among adults | 5.3% | 4.5–6.2 |
| Chronic obstructive pulmonary disease among adults | 6.2% | 4.8–7.9 |
| Depression among adults | 29.9% | 25.3–34.5 |
| Diagnosed diabetes among adults | 8.7% | 7.1–10.3 |
| High cholesterol among adults who have ever been screened | 31.5% | 27.3–35.9 |
| Obesity among adults | 34.2% | 25.9–42.7 |
| Stroke among adults | 2.6% | 2.2–3.1 |
| All teeth lost among adults aged >=65 years | 7.6% | 6.1–9.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.1% | 3.5–7.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 71.6% | 67.8–75.1 |
| Visits to doctor for routine checkup within the past year among adults | 78.4% | 74.3–82.0 |
| Cholesterol screening among adults | 88.1% | 85.4–90.3 |
| Colorectal cancer screening among adults aged 45–75 years | 76.1% | 71.5–80.2 |
| Visited dentist or dental clinic in the past year among adults | 70.5% | 67.2–73.7 |
| Mammography use among women aged 50-74 years | 78.6% | 71.6–84.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.7% | 15.3–22.6 |
| Current cigarette smoking among adults | 14.8% | 10.4–19.4 |
| No leisure-time physical activity among adults | 19.7% | 14.3–25.3 |
| Short sleep duration among adults | 32.6% | 26.3–39.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.1% | 11.6–19.1 |
| Frequent mental distress among adults | 19.6% | 16.2–22.8 |
| Frequent physical distress among adults | 12.4% | 10.1–14.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.2% | 11.2–17.3 |
| Any disability among adults | 26.3% | 20.9–31.9 |
| Hearing disability among adults | 6.0% | 5.1–6.9 |
| Independent living disability among adults | 7.2% | 5.7–9.0 |
| Mobility disability among adults | 9.9% | 7.7–12.3 |
| Self-care disability among adults | 2.7% | 2.2–3.4 |
| Vision disability among adults | 3.4% | 2.8–4.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.7% | 17.5–26.1 |
| Food insecurity in the past 12 months among adults | 11.8% | 8.3–16.0 |
| Received food stamps in the past 12 months among adults | 11.2% | 7.2–15.8 |
| Housing insecurity in the past 12 months among adults | 10.6% | 7.7–13.8 |
| Lack of reliable transportation in the past 12 months among adults | 6.9% | 5.3–8.6 |
| Loneliness among adults | 32.7% | 26.9–38.5 |
| Utility services shut-off threat in the past 12 months among adults | 7.5% | 5.6–9.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.0% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (4.3–22.3%) n=974 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 6.8% (2.5–13.5%) n=975 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 6.7% (2.5–14.2%) n=974 |
| Bachelor's or higher (25+) | 69.9% | 23.3% (9.2–53.6%) n=32,505 | 22.1% (11.4–48.3%) n=974 |
| Unemployment rate (16+) | 0.0% | 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 | 53.3% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (79.5–95.5%) n=973 |
| Housing cost burden (≥30% income) | 13.3% | 23.7% (10.6–40.0%) n=32,322 | 22.5% (14.8–32.9%) n=973 |
| Homeownership rate | 66.7% | 78.7% (51.7–94.0%) n=32,322 | 85.3% (62.2–94.6%) n=973 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.6%) n=973 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.3–10.0%) n=975 |
| Single-parent households | 100.0% | 53.6% (37.3–74.1%) n=32,087 | 56.5% (43.6–74.2%) n=970 |
| Population 65+ | 61.6% | 19.4% (10.8–33.6%) n=32,553 | 20.5% (13.7–35.2%) n=975 |
| Median age | 71.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.6 yr (35.2–58.2) n=974 |
| Median household income | $87,721 | $72,070 ($46,039–$118,707) n=30,318 | $68,216 ($47,282–$105,129) n=962 |
| Median home value | $488,200 | $222,200 ($100,300–$579,820) n=30,049 | $192,350 ($116,360–$355,650) n=952 |
| Median gross rent | — | $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 | 80.6 yr ± 1.06 | 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 1.06 years of 80.6, 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