ZIP code
60461
in Olympia Fields, IllinoisPopulation 4,761
57.86/ 100
Ranked #6,516 of 32,066 US ZIPs (top 20%)
Ranked #237 of 1,368 Illinois ZIPs (top 17%)
Ranked #179 of 374 Chicago-Naperville-Elgin, IL-IN ZIPs (top 48%)
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.
Physician access
7.3 per 1,000 residents
in the top 0.6% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of physicians’ offices 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 ›Pharmacy access
1 per 1,000 residents
in the top 0.9% nationally
Higher is healthier
ST99thUS99thDefinition & 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 ›Dental provider access
1.9 per 1,000 residents
in the top 1.4% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of dental offices 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 ›Outpatient-care access
1 per 1,000 residents
in the top 1.7% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The number of outpatient clinics 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 ›Mental-health provider access
0.21 per 1,000 residents
in the top 3.9% nationally
Higher is healthier
ST98thUS96thDefinition & source ›
The number of mental-health clinics 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 ›Housing-cost burden
43.3%
in the top 6.8% nationally
Lower is healthier
ST96thUS93rdDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Grocery access
0.21 per 1,000 residents
in the top 6.8% nationally
Higher is healthier
ST95thUS93rdDefinition & 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 ›Elder-services access
0.21 per 1,000 residents
in the top 6.8% nationally
Higher is healthier
ST95thUS93rdDefinition & source ›
The number of services for older adults and people with disabilities 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 ›Cognitive disability
10.1%
in the bottom 5.4% nationally
Lower is healthier
ST7thUS5thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Industrial-pollution burden
in the top 7.8% nationally
Lower is healthier
ST84thUS92ndDefinition & 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 ›The read
Overall, Olympia Fields, Illinois (ZIP 60461) lands in the top 20% healthiest ZIPs nationally (6,516th) and the top 17% of Illinois (237th).
The signals balance out across the profile, strengths against concerns: physicians registers in the top 0.6% nationally, and pharmacy rests in the top 0.9% nationally. Dental providers stands in the top 1.4% nationally, and outpatient lies in the top 1.7% nationally. Mental-health providers lands in the top 3.9% nationally. Distance to an emergency room sits at the national minimum, shared with about 11% of ZIPs. Grocery is in the top 6.8% nationally, elder services settles in the top 6.8% nationally, and modeled cognitive disability resides in the bottom 5.4% nationally. Set against that, housing-cost burden registers in the top 6.8% nationally.
Set beside the nearby areas, physicians runs far higher than the surrounding ZIPs on this measure. For a healthier nearby comparison, ZIP 60422, just across the boundary, ranks better overall.
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
Preventive Care
healthier than 95%
13%
Risk Behavior
healthier than 82%
11%
Mental Health
healthier than 98%
8%
Disability
healthier than 62%
7%
Healthcare Access
healthier than 88%
5%
About typical
Social Need / SDOH
healthier than 60%
16%
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Chronic Disease Burden
healthier than 38%
21%
Environmental Hazard
healthier than 5%
14%
Lifting this score
Social Need / SDOH
healthier than 69%
16%
Preventive Care
in the top 0.3%
13%
Risk Behavior
healthier than 90%
11%
Mental Health
in the top 0.8%
8%
Healthcare Access
healthier than 89%
5%
About typical
Disability
healthier than 52%
7%
Climate / Disaster Risk
healthier than 46%
5%
Holding it back
Chronic Disease Burden
healthier than 26%
21%
Environmental Hazard
healthier than 10%
14%
Lifting this score
Preventive Care
in the top 0.9%
13%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 98%
8%
Healthcare Access
healthier than 75%
5%
About typical
Social Need / SDOH
healthier than 44%
16%
Holding it back
Chronic Disease Burden
healthier than 11%
21%
Environmental Hazard
healthier than 30%
14%
Disability
healthier than 28%
7%
Climate / Disaster Risk
healthier than 38%
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
60411
Illinoisshares a border
Score 42.92
Closest healthier
60422
Illinoisshares a border
Score 63.84
Similar health profile
40280
Kentucky98% similar profile
Score 55.95
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 | 30.5% | 27.8–33.2 |
| High blood pressure among adults | 45.2% | 42.2–48.2 |
| Cancer (non-skin) or melanoma among adults | 8.6% | 7.8–9.4 |
| Current asthma among adults | 11.0% | 9.8–12.2 |
| Coronary heart disease among adults | 7.3% | 6.5–8.1 |
| Chronic obstructive pulmonary disease among adults | 6.5% | 5.5–7.5 |
| Depression among adults | 14.8% | 12.9–16.7 |
| Diagnosed diabetes among adults | 16.8% | 14.9–18.8 |
| High cholesterol among adults who have ever been screened | 38.8% | 35.9–41.5 |
| Obesity among adults | 34.6% | 30.8–38.2 |
| Stroke among adults | 5.1% | 4.6–5.7 |
| All teeth lost among adults aged >=65 years | 9.9% | 8.1–12.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.5% | 5.3–8.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.9% | 81.8–85.7 |
| Visits to doctor for routine checkup within the past year among adults | 86.1% | 84.3–87.7 |
| Cholesterol screening among adults | 93.2% | 92.3–94.1 |
| Colorectal cancer screening among adults aged 45–75 years | 66.1% | 62.3–69.8 |
| Visited dentist or dental clinic in the past year among adults | 62.4% | 59.3–65.5 |
| Mammography use among women aged 50-74 years | 80.3% | 75.7–84.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.2% | 10.7–13.7 |
| Current cigarette smoking among adults | 9.1% | 7.5–10.7 |
| No leisure-time physical activity among adults | 23.7% | 20.3–27.0 |
| Short sleep duration among adults | 39.7% | 36.0–43.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.8% | 17.2–22.3 |
| Frequent mental distress among adults | 12.7% | 11.2–14.2 |
| Frequent physical distress among adults | 11.8% | 10.3–13.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.1% | 8.8–11.5 |
| Any disability among adults | 29.5% | 26.3–32.8 |
| Hearing disability among adults | 6.1% | 5.4–6.9 |
| Independent living disability among adults | 8.0% | 6.9–9.1 |
| Mobility disability among adults | 17.0% | 14.8–19.4 |
| Self-care disability among adults | 4.6% | 3.9–5.2 |
| Vision disability among adults | 5.6% | 4.9–6.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.2% | 25.1–31.3 |
| Food insecurity in the past 12 months among adults | 17.7% | 14.9–20.7 |
| Received food stamps in the past 12 months among adults | 16.3% | 13.2–19.6 |
| Housing insecurity in the past 12 months among adults | 15.1% | 12.8–17.4 |
| Lack of reliable transportation in the past 12 months among adults | 8.7% | 7.4–10.0 |
| Loneliness among adults | 33.5% | 30.3–36.8 |
| Utility services shut-off threat in the past 12 months among adults | 9.6% | 8.1–11.1 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | IL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.6% | 10.6% (3.1–25.8%) n=32,364 | 9.4% (3.4–21.4%) n=1,378 |
| Uninsured 18–64 | 3.3% | 9.0% (1.5–24.3%) n=32,286 | 6.6% (1.7–15.2%) n=1,375 |
| No HS diploma (25+) | 2.2% | 7.9% (1.8–20.7%) n=32,505 | 6.5% (2.1–16.1%) n=1,377 |
| Bachelor's or higher (25+) | 50.8% | 23.3% (9.2–53.6%) n=32,505 | 21.6% (9.3–49.2%) n=1,377 |
| Unemployment rate (16+) | 5.8% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.7–10.0%) n=1,375 |
| Households without a vehicle | 8.8% | 3.9% (0.0–12.5%) n=32,322 | 3.9% (0.0–11.8%) n=1,377 |
| Broadband subscription | 91.8% | 89.3% (75.1–97.1%) n=32,322 | 89.4% (77.4–96.0%) n=1,377 |
| Housing cost burden (≥30% income) | 43.3% | 23.7% (10.6–40.0%) n=32,322 | 21.2% (10.7–34.7%) n=1,377 |
| Homeownership rate | 88.9% | 78.7% (51.7–94.0%) n=32,322 | 80.9% (61.0–94.1%) n=1,377 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–4.1%) n=1,377 |
| Foreign-born population | 3.8% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–17.6%) n=1,378 |
| Single-parent households | 55.5% | 53.6% (37.3–74.1%) n=32,087 | 53.8% (39.6–70.3%) n=1,372 |
| Population 65+ | 30.6% | 19.4% (10.8–33.6%) n=32,553 | 19.4% (12.1–28.7%) n=1,378 |
| Median age | 47.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.1 yr (34.3–52.1) n=1,373 |
| Median household income | $124,417 | $72,070 ($46,039–$118,707) n=30,318 | $75,429 ($50,714–$114,949) n=1,334 |
| Median home value | $328,000 | $222,200 ($100,300–$579,820) n=30,049 | $154,250 ($86,310–$346,100) n=1,332 |
| Median gross rent | $3,501 | $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 | 79.6 yr ± 1.03 | 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 1.03 years of 79.6, 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