ZIP code
49060
in Hickory Corners, MichiganPopulation 2,660
60.36/ 100
Ranked #4,582 of 32,066 US ZIPs (top 14.3%)
Ranked #113 of 973 Michigan ZIPs (top 11.7%)
Ranked #13 of 79 Grand Rapids-Wyoming-Kentwood, MI ZIPs (top 16%)
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.
Colon-cancer screening
76.6%
in the top 1.3% nationally
Higher is healthier
ST96thUS99thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Median household income
$134,861
in the top 6.0% nationally
Higher is healthier
ST98thUS94thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Poverty rate
0.60%
in the bottom 4.9% nationally
Lower is healthier
ST2ndUS5thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Home broadband subscription
98.6%
in the top 6.4% nationally
Higher is healthier
ST97thUS94thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Short sleep
29.3%
in the bottom 6.8% nationally
Lower is healthier
ST9thUS7thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Housing insecurity
7.1%
in the bottom 8.1% nationally
Lower is healthier
ST8thUS8thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Housing-cost burden
9.2%
in the bottom 8.6% nationally
Lower is healthier
ST2ndUS9thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Lack of transportation
5.2%
in the bottom 9.9% nationally
Lower is healthier
ST8thUS10thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Food insecurity
8.6%
in the bottom 10.4% nationally
Lower is healthier
ST7thUS10thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Civic-institution access
0.54 per 1,000 residents
in the top 11.3% nationally
Higher is healthier
ST92ndUS89thDefinition & source ›
The number of civic and social organizations 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 ›The read
Overall, Hickory Corners, Michigan (ZIP 49060) places in the top 14.3% healthiest ZIPs nationally (4,582nd) and the top 11.7% of Michigan (113th).
Where the data is kindest to this area, a few readings lead the way: modeled colon screening lands in the top 1.3% nationally, and household income stands in the top 6.0% nationally. Poverty registers in the bottom 4.9% nationally, and home broadband subscription settles in the top 6.4% nationally. Modeled short sleep sits in the bottom 6.8% nationally. Households without a vehicle lies at the national minimum, shared with about 16% of ZIPs. Modeled housing insecurity rests in the bottom 8.1% nationally, housing-cost burden resides in the bottom 8.6% nationally, and modeled transportation is in the bottom 9.9% nationally. Modeled food insecurity lands in the bottom 10.4% nationally.
Beside the areas that surround it, park land runs far lower than the surrounding ZIPs on this measure. Among nearby ZIPs, the nearest healthier one overall is ZIP 49012, 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 Grand Rapids-Wyoming-Kentwood, MI metro area.
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 82%
16%
Environmental Hazard
healthier than 67%
14%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 88%
11%
Disability
healthier than 81%
7%
Climate / Disaster Risk
healthier than 73%
5%
About typical
Chronic Disease Burden
healthier than 58%
21%
Mental Health
healthier than 53%
8%
Holding it back
Healthcare Access
healthier than 29%
5%
Lifting this score
Chronic Disease Burden
healthier than 68%
21%
Social Need / SDOH
healthier than 86%
16%
Preventive Care
healthier than 94%
13%
Risk Behavior
healthier than 89%
11%
Mental Health
healthier than 88%
8%
Disability
healthier than 85%
7%
About typical
Environmental Hazard
healthier than 58%
14%
Holding it back
Climate / Disaster Risk
healthier than 26%
5%
Healthcare Access
healthier than 24%
5%
Lifting this score
Social Need / SDOH
healthier than 74%
16%
Preventive Care
in the top 0.00%
13%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 98%
8%
Disability
healthier than 78%
7%
About typical
Environmental Hazard
healthier than 57%
14%
Holding it back
Chronic Disease Burden
healthier than 24%
21%
Climate / Disaster Risk
healthier than 28%
5%
Healthcare Access
healthier than 15%
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
49012
Michiganshares a border
Score 60.47
Closest healthier
49083
Michiganshares a border
Score 61.92
Similar health profile
02050
Massachusetts99% similar profile
Score 63.63
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 | 31.1% | 28.6–33.8 |
| High blood pressure among adults | 35.3% | 32.3–38.3 |
| Cancer (non-skin) or melanoma among adults | 11.3% | 10.4–12.2 |
| Current asthma among adults | 10.7% | 9.7–11.7 |
| Coronary heart disease among adults | 7.0% | 6.4–7.7 |
| Chronic obstructive pulmonary disease among adults | 7.1% | 6.2–8.0 |
| Depression among adults | 25.2% | 22.5–28.0 |
| Diagnosed diabetes among adults | 10.6% | 9.4–11.9 |
| High cholesterol among adults who have ever been screened | 38.8% | 35.7–41.8 |
| Obesity among adults | 35.2% | 30.2–40.3 |
| Stroke among adults | 3.3% | 3.0–3.6 |
| All teeth lost among adults aged >=65 years | 7.8% | 6.6–9.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.8% | 3.9–5.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.6% | 77.3–81.6 |
| Visits to doctor for routine checkup within the past year among adults | 81.4% | 78.9–83.6 |
| Cholesterol screening among adults | 90.2% | 89.0–91.3 |
| Colorectal cancer screening among adults aged 45–75 years | 76.6% | 73.2–79.6 |
| Visited dentist or dental clinic in the past year among adults | 75.0% | 72.5–77.2 |
| Mammography use among women aged 50-74 years | 79.4% | 74.1–83.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.5% | 14.3–18.8 |
| Current cigarette smoking among adults | 11.7% | 10.0–13.5 |
| No leisure-time physical activity among adults | 20.3% | 17.4–23.3 |
| Short sleep duration among adults | 29.3% | 25.1–33.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.2% | 13.3–17.2 |
| Frequent mental distress among adults | 15.0% | 13.5–16.6 |
| Frequent physical distress among adults | 12.5% | 11.2–13.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.5% | 10.3–12.9 |
| Any disability among adults | 27.9% | 24.9–31.1 |
| Hearing disability among adults | 7.8% | 7.0–8.6 |
| Independent living disability among adults | 6.6% | 5.9–7.4 |
| Mobility disability among adults | 11.9% | 10.4–13.5 |
| Self-care disability among adults | 2.9% | 2.6–3.3 |
| Vision disability among adults | 3.6% | 3.2–4.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.5% | 16.9–22.2 |
| Food insecurity in the past 12 months among adults | 8.6% | 7.3–10.1 |
| Received food stamps in the past 12 months among adults | 7.4% | 6.2–8.7 |
| Housing insecurity in the past 12 months among adults | 7.1% | 6.1–8.2 |
| Lack of reliable transportation in the past 12 months among adults | 5.2% | 4.5–5.9 |
| Loneliness among adults | 29.1% | 25.5–32.8 |
| Utility services shut-off threat in the past 12 months among adults | 5.2% | 4.4–5.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | MI median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.6% | 10.6% (3.1–25.8%) n=32,364 | 10.7% (4.3–22.3%) n=974 |
| Uninsured 18–64 | 3.9% | 9.0% (1.5–24.3%) n=32,286 | 6.8% (2.5–13.5%) n=975 |
| No HS diploma (25+) | 1.0% | 7.9% (1.8–20.7%) n=32,505 | 6.7% (2.5–14.2%) n=974 |
| Bachelor's or higher (25+) | 69.3% | 23.3% (9.2–53.6%) n=32,505 | 22.1% (11.4–48.3%) n=974 |
| Unemployment rate (16+) | 5.1% | 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 | 98.6% | 89.3% (75.1–97.1%) n=32,322 | 88.8% (79.5–95.5%) n=973 |
| Housing cost burden (≥30% income) | 9.2% | 23.7% (10.6–40.0%) n=32,322 | 22.5% (14.8–32.9%) n=973 |
| Homeownership rate | 83.2% | 78.7% (51.7–94.0%) n=32,322 | 85.3% (62.2–94.6%) n=973 |
| Crowded housing (>1 per room) | 1.1% | 1.3% (0.0–6.3%) n=32,322 | 1.1% (0.0–3.6%) n=973 |
| Foreign-born population | 0.1% | 2.6% (0.0–18.6%) n=32,553 | 1.8% (0.3–10.0%) n=975 |
| Single-parent households | 71.5% | 53.6% (37.3–74.1%) n=32,087 | 56.5% (43.6–74.2%) n=970 |
| Population 65+ | 21.4% | 19.4% (10.8–33.6%) n=32,553 | 20.5% (13.7–35.2%) n=975 |
| Median age | 51.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.6 yr (35.2–58.2) n=974 |
| Median household income | $134,861 | $72,070 ($46,039–$118,707) n=30,318 | $68,216 ($47,282–$105,129) n=962 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $192,350 ($116,360–$355,650) n=952 |
| Median gross rent | $347 | $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 | 79.4 yr ± 0.89 | 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 0.89 years of 79.4, 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