ZIP code
62298
in Waterloo, IllinoisPopulation 18,208
57.83/ 100
Ranked #6,543 of 32,066 US ZIPs (top 20%)
Ranked #238 of 1,368 Illinois ZIPs (top 17%)
Ranked #42 of 234 St. Louis, MO-IL ZIPs (top 18%)
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.
Expected annual disaster loss
$0
in the top 7.6% nationally
Lower is healthier
ST82ndUS92ndDefinition & 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 ›Lack of transportation
5.2%
in the bottom 9.9% nationally
Lower is healthier
ST9thUS10thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Food insecurity
8.8%
in the bottom 11.6% nationally
Lower is healthier
ST7thUS12thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Outpatient-care access
0.4 per 1,000 residents
in the top 11.8% nationally
Higher is healthier
ST92ndUS88thDefinition & 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 ›Utility shut-off threat
5.0%
in the bottom 13.5% nationally
Lower is healthier
ST10thUS13thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Tooth loss
7.6%
in the bottom 11.1% nationally
Lower is healthier
ST10thUS11thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Housing insecurity
7.9%
in the bottom 15% nationally
Lower is healthier
ST8thUS15thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Uninsured (under 65)
5.7%
in the bottom 11.7% nationally
Lower is healthier
ST9thUS12thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Dry extreme heat
17.5 days/year
in the top 25% nationally
Lower is healthier
ST92ndUS75thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›Humid extreme heat
86.9 days/year
in the top 29% nationally
Lower is healthier
ST93rdUS71stDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›The read
Overall, Waterloo, Illinois (ZIP 62298) places in the top 20% healthiest ZIPs nationally (6,543rd) and the top 17% of Illinois (238th), based on limited data; treat as directional.
The clearest bright points in the data come first here: modeled transportation registers in the bottom 9.9% nationally. Distance to a community health center settles at the national minimum, shared with about 23% of ZIPs. Modeled food insecurity sits in the bottom 11.6% nationally, outpatient lies in the top 11.8% nationally, and modeled utility shutoff rests in the bottom 13.5% nationally. Distance to a nursing home resides at the national minimum, shared with about 27% of ZIPs. Modeled tooth loss is in the bottom 11.1% nationally, and cognitive disability lands in the bottom 13.6% nationally. By contrast, modeled expected annual loss stands in the top 7.6% nationally, and binge drinking registers in the top 12.7% nationally.
For readers new to these terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Distance to a community health center is a federally funded (HRSA) community health center serving everyone regardless of ability to pay. Among nearby ZIPs, the nearest healthier one overall is ZIP 62236, 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 St. Louis, MO-IL 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 69%
21%
Social Need / SDOH
healthier than 81%
16%
Preventive Care
healthier than 70%
13%
Risk Behavior
healthier than 67%
11%
Mental Health
healthier than 72%
8%
Disability
healthier than 83%
7%
Healthcare Access
healthier than 84%
5%
Holding it back
Environmental Hazard
healthier than 39%
14%
Climate / Disaster RiskPartial
healthier than 27%
5%
Lifting this score
Chronic Disease Burden
healthier than 70%
21%
Social Need / SDOH
healthier than 87%
16%
Preventive Care
healthier than 85%
13%
Risk Behavior
healthier than 77%
11%
Mental Health
healthier than 70%
8%
Disability
healthier than 80%
7%
Healthcare Access
healthier than 85%
5%
About typical
Environmental Hazard
healthier than 51%
14%
Holding it back
Climate / Disaster RiskPartial
healthier than 12%
5%
Lifting this score
Chronic Disease Burden
healthier than 66%
21%
Social Need / SDOH
healthier than 67%
16%
Preventive Care
healthier than 76%
13%
Risk Behavior
healthier than 81%
11%
Mental Health
healthier than 84%
8%
Disability
healthier than 85%
7%
Healthcare Access
healthier than 79%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Holding it back
Climate / Disaster RiskPartial
healthier than 37%
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
62236
Illinoisshares a border
Score 59.88
Closest healthier
63126
Missouriabout 11 mi away
Score 61.66
Similar health profile
62269
Illinois98% similar profile
Score 61.58
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 | 28.1% | 24.6–31.7 |
| High blood pressure among adults | 34.6% | 30.3–38.9 |
| Cancer (non-skin) or melanoma among adults | 10.1% | 9.1–11.1 |
| Current asthma among adults | 10.1% | 8.8–11.5 |
| Coronary heart disease among adults | 6.2% | 5.6–7.0 |
| Chronic obstructive pulmonary disease among adults | 6.5% | 5.7–7.4 |
| Depression among adults | 21.6% | 18.1–25.3 |
| Diagnosed diabetes among adults | 10.4% | 8.9–12.1 |
| High cholesterol among adults who have ever been screened | 37.9% | 33.3–42.7 |
| Obesity among adults | 35.6% | 27.5–44.2 |
| Stroke among adults | 3.2% | 2.9–3.4 |
| All teeth lost among adults aged >=65 years | 7.6% | 6.0–9.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.7% | 4.7–6.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.7% | 74.3–80.6 |
| Visits to doctor for routine checkup within the past year among adults | 79.4% | 75.6–82.8 |
| Cholesterol screening among adults | 89.2% | 87.6–90.6 |
| Colorectal cancer screening among adults aged 45–75 years | 67.7% | 62.3–72.6 |
| Visited dentist or dental clinic in the past year among adults | 68.9% | 65.1–72.4 |
| Mammography use among women aged 50-74 years | 72.4% | 63.6–79.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.8% | 15.4–22.5 |
| Current cigarette smoking among adults | 11.8% | 9.9–13.8 |
| No leisure-time physical activity among adults | 19.4% | 15.8–23.4 |
| Short sleep duration among adults | 34.6% | 27.7–41.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.4% | 13.2–17.8 |
| Frequent mental distress among adults | 15.4% | 13.4–17.4 |
| Frequent physical distress among adults | 12.2% | 10.7–13.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.5% | 10.0–13.0 |
| Any disability among adults | 26.6% | 22.8–30.8 |
| Hearing disability among adults | 6.9% | 6.1–7.8 |
| Independent living disability among adults | 6.7% | 5.9–7.6 |
| Mobility disability among adults | 12.1% | 10.4–14.0 |
| 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 | 21.9% | 18.5–25.5 |
| Food insecurity in the past 12 months among adults | 8.8% | 7.3–10.4 |
| Received food stamps in the past 12 months among adults | 7.8% | 6.5–9.3 |
| Housing insecurity in the past 12 months among adults | 7.9% | 6.6–9.2 |
| Lack of reliable transportation in the past 12 months among adults | 5.2% | 4.5–5.9 |
| Loneliness among adults | 31.0% | 26.0–36.4 |
| Utility services shut-off threat in the past 12 months among adults | 5.0% | 4.2–5.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | IL median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.9% | 10.6% (3.1–25.8%) n=32,364 | 9.4% (3.4–21.4%) n=1,378 |
| Uninsured 18–64 | 3.7% | 9.0% (1.5–24.3%) n=32,286 | 6.6% (1.7–15.2%) n=1,375 |
| No HS diploma (25+) | 4.4% | 7.9% (1.8–20.7%) n=32,505 | 6.5% (2.1–16.1%) n=1,377 |
| Bachelor's or higher (25+) | 36.2% | 23.3% (9.2–53.6%) n=32,505 | 21.6% (9.3–49.2%) n=1,377 |
| Unemployment rate (16+) | 2.0% | 3.9% (0.0–9.8%) n=32,274 | 4.2% (0.7–10.0%) n=1,375 |
| Households without a vehicle | 3.9% | 3.9% (0.0–12.5%) n=32,322 | 3.9% (0.0–11.8%) n=1,377 |
| Broadband subscription | 92.3% | 89.3% (75.1–97.1%) n=32,322 | 89.4% (77.4–96.0%) n=1,377 |
| Housing cost burden (≥30% income) | 21.4% | 23.7% (10.6–40.0%) n=32,322 | 21.2% (10.7–34.7%) n=1,377 |
| Homeownership rate | 85.3% | 78.7% (51.7–94.0%) n=32,322 | 80.9% (61.0–94.1%) n=1,377 |
| Crowded housing (>1 per room) | 0.2% | 1.3% (0.0–6.3%) n=32,322 | 0.9% (0.0–4.1%) n=1,377 |
| Foreign-born population | 1.8% | 2.6% (0.0–18.6%) n=32,553 | 1.4% (0.0–17.6%) n=1,378 |
| Single-parent households | 55.9% | 53.6% (37.3–74.1%) n=32,087 | 53.8% (39.6–70.3%) n=1,372 |
| Population 65+ | 20.9% | 19.4% (10.8–33.6%) n=32,553 | 19.4% (12.1–28.7%) n=1,378 |
| Median age | 44.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.1 yr (34.3–52.1) n=1,373 |
| Median household income | $101,155 | $72,070 ($46,039–$118,707) n=30,318 | $75,429 ($50,714–$114,949) n=1,334 |
| Median home value | $290,200 | $222,200 ($100,300–$579,820) n=30,049 | $154,250 ($86,310–$346,100) n=1,332 |
| Median gross rent | $890 | $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 | 79.0 yr ± 0.71 | 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 0.71 years of 79.0, 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