ZIP code
60457
in Hickory Hills, IllinoisPopulation 14,503
53.79/ 100
Ranked #10,975 of 32,066 US ZIPs (top 34%)
Ranked #436 of 1,368 Illinois ZIPs (top 32%)
Ranked #238 of 374 Chicago-Naperville-Elgin, IL-IN ZIPs (bottom 36%)
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.
Industrial-pollution burden
in the top 3.0% nationally
Lower is healthier
ST95thUS97thDefinition & 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 ›Binge drinking
20.3%
in the top 5.2% nationally
Lower is healthier
ST95thUS95thDefinition & 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 ›Transportation noise
10.2%
in the top 8.2% nationally
Lower is healthier
ST84thUS92ndDefinition & 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 ›Expected annual disaster loss
$0
in the top 8.4% nationally
Lower is healthier
ST81stUS92ndDefinition & 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 ›Transit access
3.5 per 1,000 residents
in the top 8.6% nationally
Higher is healthier
ST87thUS91stDefinition & source ›
The number of public-transit stops 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 ›Walkability
100 intersections/sq mi
in the top 10.0% nationally
Higher is healthier
ST89thUS90thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Park land
12.7%
in the top 10.0% nationally
Higher is healthier
ST92ndUS90thDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›Crowded housing
6.2%
in the top 10.3% nationally
Lower is healthier
ST96thUS90thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Pharmacy access
0.35 per 1,000 residents
in the top 10.8% nationally
Higher is healthier
ST91stUS89thDefinition & source ›
The number of pharmacies located 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 ›Grocery access
0.14 per 1,000 residents
in the top 13.1% nationally
Higher is healthier
ST91stUS87thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›The read
By its overall health score, Hickory Hills, Illinois (ZIP 60457) lands in the top 34% healthiest ZIPs nationally (10,975th) and the top 32% of Illinois (436th).
The profile opens on a set of genuinely favorable readings: transit settles in the top 8.6% nationally, and walkability lies in the top 10.0% nationally. Park land resides in the top 10.0% nationally, and lead in tap water lands in the bottom 10.1% nationally. Pharmacy registers in the top 10.8% nationally. On the other side, modeled industrial-pollution burden sits in the top 3.0% nationally, binge drinking rests in the top 5.2% nationally, and transportation noise is in the top 8.2% nationally. Modeled expected annual loss stands in the top 8.4% nationally, and crowded housing settles in the top 10.3% nationally.
Weighed against the ZIPs nearby, park land runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Overall, the nearest healthier neighbor is ZIP 60465, 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.
Lifting this score
Chronic Disease Burden
healthier than 79%
21%
Mental Health
healthier than 61%
8%
Disability
healthier than 70%
7%
Climate / Disaster Risk
healthier than 78%
5%
Healthcare Access
healthier than 61%
5%
About typical
Social Need / SDOH
healthier than 47%
16%
Risk Behavior
healthier than 48%
11%
Holding it back
Environmental Hazard
healthier than 11%
14%
Preventive Care
healthier than 25%
13%
Lifting this score
Chronic Disease Burden
healthier than 80%
21%
Disability
healthier than 64%
7%
Climate / Disaster Risk
healthier than 89%
5%
Healthcare Access
healthier than 67%
5%
About typical
Social Need / SDOH
healthier than 55%
16%
Risk Behavior
healthier than 48%
11%
Mental Health
healthier than 55%
8%
Holding it back
Environmental Hazard
healthier than 20%
14%
Preventive Care
healthier than 16%
13%
Lifting this score
Climate / Disaster Risk
healthier than 79%
5%
About typical
Chronic Disease Burden
healthier than 46%
21%
Environmental Hazard
healthier than 51%
14%
Holding it back
Social Need / SDOH
healthier than 33%
16%
Preventive Care
healthier than 26%
13%
Risk Behavior
healthier than 38%
11%
Mental Health
healthier than 23%
8%
Disability
healthier than 39%
7%
Healthcare Access
healthier than 24%
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 77.2 ± 1.3 years. A median household income of $76,786 predicts 79.0 years — 1.8 years below.
Ranked #2,331 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 11.7; chronic-disease standing 79.3 — 68 points apart, heavier on the environment than it is on chronic illness.
Ranked #16,164 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
60455
Illinoisshares a border
Score 50.73
Closest healthier
60465
Illinoisshares a border
Score 56.43
Similar health profile
89434
Nevada96% similar profile
Score 54.05
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 | 23.8% | 21.7–25.9 |
| High blood pressure among adults | 30.1% | 27.6–32.5 |
| Cancer (non-skin) or melanoma among adults | 7.9% | 7.2–8.5 |
| Current asthma among adults | 10.1% | 9.1–11.2 |
| Coronary heart disease among adults | 5.8% | 5.2–6.4 |
| Chronic obstructive pulmonary disease among adults | 6.9% | 6.1–7.8 |
| Depression among adults | 21.9% | 19.3–24.3 |
| Diagnosed diabetes among adults | 10.5% | 9.3–11.8 |
| High cholesterol among adults who have ever been screened | 35.2% | 32.5–37.8 |
| Obesity among adults | 30.1% | 26.7–33.4 |
| Stroke among adults | 3.2% | 2.9–3.5 |
| All teeth lost among adults aged >=65 years | 13.9% | 11.5–16.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 10.5% | 9.0–12.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.9% | 71.1–76.5 |
| Visits to doctor for routine checkup within the past year among adults | 76.2% | 73.5–78.6 |
| Cholesterol screening among adults | 87.1% | 85.4–88.6 |
| Colorectal cancer screening among adults aged 45–75 years | 59.8% | 55.8–63.6 |
| Visited dentist or dental clinic in the past year among adults | 62.1% | 59.0–65.1 |
| Mammography use among women aged 50-74 years | 72.3% | 66.2–77.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.3% | 18.1–22.6 |
| Current cigarette smoking among adults | 13.1% | 11.3–14.9 |
| No leisure-time physical activity among adults | 22.2% | 19.7–24.9 |
| Short sleep duration among adults | 34.3% | 30.8–37.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.8% | 16.9–20.8 |
| Frequent mental distress among adults | 16.4% | 14.7–18.0 |
| Frequent physical distress among adults | 12.6% | 11.3–13.8 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 13.5% | 12.0–15.1 |
| Any disability among adults | 28.1% | 25.4–30.9 |
| Hearing disability among adults | 6.4% | 5.7–7.1 |
| Independent living disability among adults | 8.0% | 7.1–8.9 |
| Mobility disability among adults | 12.7% | 11.3–14.2 |
| Self-care disability among adults | 3.5% | 3.2–3.9 |
| Vision disability among adults | 4.7% | 4.2–5.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.2% | 22.7–28.2 |
| Food insecurity in the past 12 months among adults | 16.0% | 14.2–18.2 |
| Received food stamps in the past 12 months among adults | 13.6% | 11.7–15.9 |
| Housing insecurity in the past 12 months among adults | 13.1% | 11.6–14.9 |
| Lack of reliable transportation in the past 12 months among adults | 7.9% | 7.1–9.0 |
| Loneliness among adults | 33.8% | 30.8–37.2 |
| Utility services shut-off threat in the past 12 months among adults | 7.3% | 6.5–8.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | IL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.4% | 10.6% (3.1–25.8%) n=32,364 | 9.4% (3.4–21.4%) n=1,378 |
| Uninsured 18–64 | 15.6% | 9.0% (1.5–24.3%) n=32,286 | 6.6% (1.7–15.2%) n=1,375 |
| No HS diploma (25+) | 11.5% | 7.9% (1.8–20.7%) n=32,505 | 6.5% (2.1–16.1%) n=1,377 |
| Bachelor's or higher (25+) | 24.8% | 23.3% (9.2–53.6%) n=32,505 | 21.6% (9.3–49.2%) n=1,377 |
| Unemployment rate (16+) | 6.1% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.7–10.0%) n=1,375 |
| Households without a vehicle | 5.2% | 3.9% (0.0–12.5%) n=32,322 | 3.9% (0.0–11.8%) n=1,377 |
| Broadband subscription | 89.9% | 89.3% (75.1–97.1%) n=32,322 | 89.4% (77.4–96.0%) n=1,377 |
| Housing cost burden (≥30% income) | 33.5% | 23.7% (10.6–40.0%) n=32,322 | 21.2% (10.7–34.7%) n=1,377 |
| Homeownership rate | 71.1% | 78.7% (51.7–94.0%) n=32,322 | 80.9% (61.0–94.1%) n=1,377 |
| Crowded housing (>1 per room) | 6.2% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–4.1%) n=1,377 |
| Foreign-born population | 31.2% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–17.6%) n=1,378 |
| Single-parent households | 38.6% | 53.6% (37.3–74.1%) n=32,087 | 53.8% (39.6–70.3%) n=1,372 |
| Population 65+ | 14.1% | 19.4% (10.8–33.6%) n=32,553 | 19.4% (12.1–28.7%) n=1,378 |
| Median age | 38.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.1 yr (34.3–52.1) n=1,373 |
| Median household income | $76,786 | $72,070 ($46,039–$118,707) n=30,318 | $75,429 ($50,714–$114,949) n=1,334 |
| Median home value | $287,800 | $222,200 ($100,300–$579,820) n=30,049 | $154,250 ($86,310–$346,100) n=1,332 |
| Median gross rent | $1,145 | $1,021 ($677–$1,912) n=25,670 | $934 ($675–$1,653) n=1,170 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | IL median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 77.2 yr ± 0.64 | 78.9 yr (74.7–82.8) n=31,308 | 78.9 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 0.64 years of 77.2, 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