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ZipVitals

ZIP code

48229

in Ecorse, MichiganPopulation 9,061

29.30/ 100

Ranked #30,902 of 32,066 US ZIPs (bottom 3.7%)

Ranked #958 of 973 Michigan ZIPs (bottom 1.6%)

Ranked #204 of 215 Detroit-Warren-Dearborn, MI ZIPs (bottom 5.2%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Independent-living disability

14.7%

in the top 3.0% nationally

Lower is healthier

ST97th
US97th
Definition & source ›

The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.

Full methodology ›

Self-care disability

7.7%

in the top 3.6% nationally

Lower is healthier

ST97th
US96th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Fair or poor health

33.5%

in the top 3.8% nationally

Lower is healthier

ST98th
US96th
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

Utility shut-off threat

21%

in the top 2.0% nationally

Lower is healthier

ST97th
US98th
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Vision disability

10.1%

in the top 4.7% nationally

Lower is healthier

ST97th
US95th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Short sleep

45.1%

in the top 3.0% nationally

Lower is healthier

ST97th
US97th
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Industrial-pollution burden

in the top 2.3% nationally

Lower is healthier

ST99th
US98th
Definition & 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 ›

Housing insecurity

27.6%

in the top 2.6% nationally

Lower is healthier

ST97th
US97th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Food insecurity

37.3%

in the top 2.7% nationally

Lower is healthier

ST97th
US97th
Definition & source ›

The estimated share of adults who experienced food insecurity in the past 12 months.

Full methodology ›

Lack of transportation

18.4%

in the top 3.1% nationally

Lower is healthier

ST97th
US97th
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

The read

Ecorse, Michigan (ZIP 48229), by its composite score, sits in the bottom 3.7% nationally (30,902nd) and the bottom 1.6% of Michigan (958th).

continue reading

The measures that matter most for this area lead the way: modeled independent living disability rests in the top 3.0% nationally, and self-care disability resides in the top 3.6% nationally. Modeled fair or poor health is in the top 3.8% nationally, and utility shutoff lands in the top 2.0% nationally. Modeled vision disability stands in the top 4.7% nationally, short sleep registers in the top 3.0% nationally, and industrial-pollution burden settles in the top 2.3% nationally. Modeled housing insecurity sits in the top 2.6% nationally, food insecurity lies in the top 2.7% nationally, and transportation rests in the top 3.1% nationally.

Next to the surrounding area, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. For a healthier comparison close by, see ZIP 48146, 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 Detroit-Warren-Dearborn, MI metro area.

Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.

Compare within

Lifting this score

Healthcare Access

healthier than 66%

5%

Holding it back

Chronic Disease Burden

healthier than 13%

21%

Social Need / SDOH

healthier than 1%

16%

Environmental Hazard

healthier than 4%

14%

Preventive Care

healthier than 23%

13%

Risk Behavior

healthier than 3%

11%

Mental Health

healthier than 6%

8%

Disability

healthier than 5%

7%

Climate / Disaster Risk

healthier than 34%

5%

Lifting this score

Healthcare Access

healthier than 69%

5%

Holding it back

Chronic Disease Burden

healthier than 10%

21%

Social Need / SDOH

healthier than 3%

16%

Environmental Hazard

in the bottom 0.2%

14%

Preventive Care

healthier than 5%

13%

Risk Behavior

healthier than 3%

11%

Mental Health

healthier than 7%

8%

Disability

healthier than 4%

7%

Climate / Disaster Risk

healthier than 3%

5%

Nothing measured is lifting this score.

About typical

Healthcare Access

healthier than 53%

5%

Holding it back

Chronic Disease Burden

healthier than 8%

21%

Social Need / SDOH

healthier than 9%

16%

Environmental Hazard

in the bottom 0.5%

14%

Preventive Care

healthier than 6%

13%

Risk Behavior

healthier than 9%

11%

Mental Health

healthier than 5%

8%

Disability

healthier than 8%

7%

Climate / Disaster Risk

healthier than 4%

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 ›

Findings that name this ZIP

2 of our published findings list this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.

  • Below what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 71.2 ± 1.7 years. A median household income of $40,264 predicts 76.5 years — 5.3 years below.

    Ranked #5,612 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Below its nearby ZIPs

    The ZIP codes that outlive their neighbors

    Estimated life expectancy is 71.2 ± 1.7 years. The 45 nearest ZIP codes with estimates average 74.7 years — 3.5 years below them.

    Ranked #2,739 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.

Nearby & similar ZIPs

Editorially selected — see how this ZIP compares to nearby and similar places.

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
MeasureCrude prevalence95% CI
Arthritis among adults30.6%28.5–32.8
High blood pressure among adults43.4%40.9–46.1
Cancer (non-skin) or melanoma among adults6.2%5.6–6.8
Current asthma among adults13.5%12.2–14.9
Coronary heart disease among adults8.5%7.7–9.3
Chronic obstructive pulmonary disease among adults12.2%10.9–13.4
Depression among adults25.3%22.9–27.8
Diagnosed diabetes among adults17.4%15.8–19.1
High cholesterol among adults who have ever been screened36.1%33.6–38.7
Obesity among adults42.7%39.0–46.5
Stroke among adults5.5%5.1–6.0
All teeth lost among adults aged >=65 years23.5%20.3–26.7
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years14.2%12.3–16.1
Taking medicine to control high blood pressure among adults with high blood pressure76.2%74.0–78.5
Visits to doctor for routine checkup within the past year among adults79.6%77.2–81.9
Cholesterol screening among adults83.6%81.8–85.4
Colorectal cancer screening among adults aged 45–75 years62.2%58.7–65.6
Visited dentist or dental clinic in the past year among adults53.7%51.0–56.4
Mammography use among women aged 50-74 years74.4%69.5–79.0
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults13.1%11.4–15.1
Current cigarette smoking among adults23.3%20.8–25.7
No leisure-time physical activity among adults38.5%35.1–41.8
Short sleep duration among adults45.1%41.8–48.3
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults33.5%30.7–36.3
Frequent mental distress among adults23.0%20.9–25.0
Frequent physical distress among adults19.3%17.5–21.1
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults20.7%18.7–22.7
Any disability among adults41.8%38.6–45.0
Hearing disability among adults7.6%6.8–8.4
Independent living disability among adults14.7%13.2–16.1
Mobility disability among adults21.9%19.9–23.9
Self-care disability among adults7.7%7.0–8.4
Vision disability among adults10.1%9.2–11.0
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults31.4%28.2–34.7
Food insecurity in the past 12 months among adults37.3%34.0–40.9
Received food stamps in the past 12 months among adults38.3%34.9–42.0
Housing insecurity in the past 12 months among adults27.6%24.8–30.5
Lack of reliable transportation in the past 12 months among adults18.4%16.6–20.3
Loneliness among adults36.4%33.0–39.9
Utility services shut-off threat in the past 12 months among adults21.0%18.8–23.2
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MI median (p10–p90)
Poverty rate29.4%10.6% (3.1–25.8%) n=32,36410.7% (4.3–22.3%) n=974
Uninsured 18–648.2%9.0% (1.5–24.3%) n=32,2866.8% (2.5–13.5%) n=975
No HS diploma (25+)30.0%7.9% (1.8–20.7%) n=32,5056.7% (2.5–14.2%) n=974
Bachelor's or higher (25+)8.4%23.3% (9.2–53.6%) n=32,50522.1% (11.4–48.3%) n=974
Unemployment rate (16+)8.2%3.9% (0.0–9.8%) n=32,2744.6% (1.3–10.0%) n=974
Households without a vehicle15.9%3.9% (0.0–12.5%) n=32,3224.5% (0.9–10.8%) n=973
Broadband subscription72.3%89.3% (75.1–97.1%) n=32,32288.8% (79.5–95.5%) n=973
Housing cost burden (≥30% income)31.5%23.7% (10.6–40.0%) n=32,32222.5% (14.8–32.9%) n=973
Homeownership rate62.1%78.7% (51.7–94.0%) n=32,32285.3% (62.2–94.6%) n=973
Crowded housing (>1 per room)3.1%1.3% (0.0–6.3%) n=32,3221.1% (0.0–3.6%) n=973
Foreign-born population4.0%2.6% (0.0–18.6%) n=32,5531.8% (0.3–10.0%) n=975
Single-parent households26.7%53.6% (37.3–74.1%) n=32,08756.5% (43.6–74.2%) n=970
Population 65+15.5%19.4% (10.8–33.6%) n=32,55320.5% (13.7–35.2%) n=975
Median age34.9 yr42.2 yr (33.0–56.3) n=32,29243.6 yr (35.2–58.2) n=974
Median household income$40,264$72,070 ($46,039–$118,707) n=30,318$68,216 ($47,282–$105,129) n=962
Median home value$65,400$222,200 ($100,300–$579,820) n=30,049$192,350 ($116,360–$355,650) n=952
Median gross rent$840$1,021 ($677–$1,912) n=25,670$972 ($719–$1,368) n=849
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)MI median (p10–p90)
Life expectancy at birth71.2 yr ± 0.8678.9 yr (74.7–82.8) n=31,30878.6 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 0.86 years of 71.2, and it’s very unlikely to be off by more than twice that.

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