Skip to main content
ZipVitals

ZIP code

60636

in Chicago, IllinoisPopulation 32,198

28.50/ 100

Ranked #31,033 of 32,066 US ZIPs (bottom 3.3%)

Ranked #1,356 of 1,368 Illinois ZIPs (bottom 0.9%)

Ranked #371 of 374 Chicago-Naperville-Elgin, IL-IN ZIPs (bottom 0.9%)

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.

Self-care disability

9.3%

in the top 1.2% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Vision disability

12.3%

in the top 1.9% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

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

Full methodology ›

Housing insecurity

36.5%

in the top 0.2% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Food insecurity

48.1%

in the top 0.4% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Energy-cost burden

7.1%

in the top 1.1% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.

A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.

Full methodology ›

Short sleep

48%

in the top 0.9% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Independent-living disability

15.7%

in the top 1.9% nationally

Lower is healthier

ST99th
US98th
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 ›

Utility shut-off threat

25.7%

in the top 0.6% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

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

Full methodology ›

Walkability

310 intersections/sq mi

in the top 0.6% nationally

Higher is healthier

ST99th
US99th
Definition & source ›

The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.

Full methodology ›

Fair or poor health

35.9%

in the top 2.1% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

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

Full methodology ›

The read

Judged by its overall standing, ZIP 60636, one of several in Chicago, Illinois sits in the bottom 3.3% nationally (31,033rd) and the bottom 0.9% of Illinois (1,356th).

continue reading

A demanding profile, and several measures drive it: modeled self-care disability settles in the top 1.2% nationally, vision disability lands in the top 1.9% nationally, and housing insecurity rests in the top 0.2% nationally. Modeled food insecurity settles in the top 0.4% nationally, energy burden lands in the top 1.1% nationally, and short sleep rests in the top 0.9% nationally. Modeled independent living disability settles in the top 1.9% nationally, and utility shutoff lands in the top 0.6% nationally. Modeled fair or poor health rests in the top 2.1% nationally. On the stronger side, walkability settles in the top 0.6% nationally.

Placed beside its immediate neighbors, walkability runs far higher than the surrounding ZIPs on this measure. Put plainly, energy burden is the share of household income that goes to home energy bills. A healthier nearby ZIP overall is ZIP 60609, 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 Chicago-Naperville-Elgin, IL-IN metro area.

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

Compare within

Lifting this score

Climate / Disaster Risk

healthier than 84%

5%

Healthcare Access

healthier than 86%

5%

About typical

Mental Health

healthier than 46%

8%

Holding it back

Chronic Disease Burden

healthier than 13%

21%

Social Need / SDOH

in the bottom 0.08%

16%

Environmental Hazard

healthier than 2%

14%

Preventive Care

healthier than 8%

13%

Risk Behavior

healthier than 2%

11%

Disability

healthier than 3%

7%

Lifting this score

Climate / Disaster Risk

healthier than 96%

5%

Healthcare Access

healthier than 87%

5%

Holding it back

Chronic Disease Burden

healthier than 2%

21%

Social Need / SDOH

in the bottom 0.00%

16%

Environmental Hazard

healthier than 4%

14%

Preventive Care

healthier than 3%

13%

Risk Behavior

in the bottom 0.4%

11%

Mental Health

healthier than 26%

8%

Disability

in the bottom 0.4%

7%

Lifting this score

Climate / Disaster Risk

healthier than 91%

5%

Healthcare Access

healthier than 71%

5%

Holding it back

Chronic Disease Burden

healthier than 3%

21%

Social Need / SDOH

in the bottom 0.00%

16%

Environmental Hazard

healthier than 13%

14%

Preventive Care

healthier than 6%

13%

Risk Behavior

healthier than 3%

11%

Mental Health

healthier than 12%

8%

Disability

healthier than 1%

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 ›

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 70.8 ± 1.1 years. A median household income of $38,807 predicts 76.3 years — 5.5 years below.

    Ranked #5,662 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 70.8 ± 1.1 years. The 43 nearest ZIP codes with estimates average 76.6 years — 5.8 years below them.

    Ranked #3,507 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 adults26.8%24.6–28.8
High blood pressure among adults44.4%41.8–46.9
Cancer (non-skin) or melanoma among adults4.4%4.0–4.8
Current asthma among adults13.0%11.7–14.2
Coronary heart disease among adults7.7%7.1–8.4
Chronic obstructive pulmonary disease among adults10.4%9.4–11.4
Depression among adults18.7%16.6–20.9
Diagnosed diabetes among adults20.5%18.7–22.3
High cholesterol among adults who have ever been screened34.3%31.7–36.8
Obesity among adults44.9%41.0–48.6
Stroke among adults6.4%6.0–6.8
All teeth lost among adults aged >=65 years31.0%26.7–35.4
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years18.7%16.7–20.8
Taking medicine to control high blood pressure among adults with high blood pressure77.0%74.8–79.0
Visits to doctor for routine checkup within the past year among adults79.9%77.5–82.0
Cholesterol screening among adults84.1%82.4–85.7
Colorectal cancer screening among adults aged 45–75 years51.8%47.8–55.8
Visited dentist or dental clinic in the past year among adults41.0%37.8–44.1
Mammography use among women aged 50-74 years71.9%65.8–77.3
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults13.4%11.8–15.1
Current cigarette smoking among adults20.8%18.7–22.9
No leisure-time physical activity among adults39.0%35.6–42.3
Short sleep duration among adults48.0%44.1–51.8
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults35.9%33.2–38.4
Frequent mental distress among adults20.4%18.5–22.2
Frequent physical distress among adults17.3%15.8–18.9
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults20.2%18.3–22.0
Any disability among adults41.3%38.1–44.2
Hearing disability among adults5.9%5.3–6.5
Independent living disability among adults15.7%14.4–17.1
Mobility disability among adults24.0%22.1–25.9
Self-care disability among adults9.3%8.7–10.0
Vision disability among adults12.3%11.4–13.1
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults37.2%34.1–40.5
Food insecurity in the past 12 months among adults48.1%45.2–51.2
Received food stamps in the past 12 months among adults50.7%47.3–54.2
Housing insecurity in the past 12 months among adults36.5%33.8–39.5
Lack of reliable transportation in the past 12 months among adults22.9%20.9–25.0
Loneliness among adults41.2%38.0–44.5
Utility services shut-off threat in the past 12 months among adults25.7%23.3–28.1
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)IL median (p10–p90)
Poverty rate30.4%10.6% (3.1–25.8%) n=32,3649.4% (3.4–21.4%) n=1,378
Uninsured 18–6424.4%9.0% (1.5–24.3%) n=32,2866.6% (1.7–15.2%) n=1,375
No HS diploma (25+)22.5%7.9% (1.8–20.7%) n=32,5056.5% (2.1–16.1%) n=1,377
Bachelor's or higher (25+)10.9%23.3% (9.2–53.6%) n=32,50521.6% (9.3–49.2%) n=1,377
Unemployment rate (16+)16.4%3.9% (0.0–9.8%) n=32,2744.2% (0.7–10.0%) n=1,375
Households without a vehicle27.8%3.9% (0.0–12.5%) n=32,3223.9% (0.0–11.8%) n=1,377
Broadband subscription82.5%89.3% (75.1–97.1%) n=32,32289.4% (77.4–96.0%) n=1,377
Housing cost burden (≥30% income)48.1%23.7% (10.6–40.0%) n=32,32221.2% (10.7–34.7%) n=1,377
Homeownership rate52.8%78.7% (51.7–94.0%) n=32,32280.9% (61.0–94.1%) n=1,377
Crowded housing (>1 per room)3.7%1.3% (0.0–6.3%) n=32,3220.9% (0.0–4.1%) n=1,377
Foreign-born population13.9%2.6% (0.0–18.6%) n=32,5531.4% (0.0–17.6%) n=1,378
Single-parent households27.8%53.6% (37.3–74.1%) n=32,08753.8% (39.6–70.3%) n=1,372
Population 65+16.7%19.4% (10.8–33.6%) n=32,55319.4% (12.1–28.7%) n=1,378
Median age34.9 yr42.2 yr (33.0–56.3) n=32,29242.1 yr (34.3–52.1) n=1,373
Median household income$38,807$72,070 ($46,039–$118,707) n=30,318$75,429 ($50,714–$114,949) n=1,334
Median home value$155,300$222,200 ($100,300–$579,820) n=30,049$154,250 ($86,310–$346,100) n=1,332
Median gross rent$1,155$1,021 ($677–$1,912) n=25,670$934 ($675–$1,653) n=1,170
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)IL median (p10–p90)
Life expectancy at birth70.8 yr ± 0.5778.9 yr (74.7–82.8) n=31,30878.9 yr (75.5–82.2) n=1,348

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 0.57 years of 70.8, 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