ZIP code
51028
in Kingsley, IowaPopulation 2,191
56.05/ 100
Ranked #8,220 of 32,066 US ZIPs (top 26%)
Ranked #192 of 922 Iowa ZIPs (top 21%)
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.
Radon
5.3 pCi/L
in the top 0.2% nationally
Lower is healthier
ST97thUS99thDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›Dental provider access
1.5 per 1,000 residents
in the top 2.7% nationally
Higher is healthier
ST99thUS97thDefinition & 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 ›Nitrate in drinking water
8.0%
in the top 3.4% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The modeled share of this area’s domestic-well groundwater at or above the federal nitrate limit of 10 milligrams per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Pharmacy access
0.49 per 1,000 residents
in the top 5.4% nationally
Higher is healthier
ST92ndUS95thDefinition & 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 ›Binge drinking
20.2%
in the top 5.5% nationally
Lower is healthier
ST62ndUS95thDefinition & 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 ›Short sleep
29.2%
in the bottom 6.5% nationally
Lower is healthier
ST8thUS6thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›Transportation noise
0.05%
in the bottom 7.2% nationally
Lower is healthier
ST12thUS7thDefinition & 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 ›Fiber broadband
97.5%
in the top 7.4% nationally
Higher is healthier
ST77thUS93rdDefinition & source ›
The share of homes where fiber-optic internet service is available.
Full methodology ›Fine-particle (PM2.5) exceedance
1.1%
in the top 8.6% nationally
Lower is healthier
ST97thUS91stDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Housing insecurity
7.3%
in the bottom 9.5% nationally
Lower is healthier
ST12thUS9thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›The read
Kingsley, Iowa (ZIP 51028), overall, ranks in the top 26% healthiest ZIPs nationally (8,220th) and the top 21% of Iowa (192nd).
This area's measures are easy to read as a mixed set: dental providers settles in the top 2.7% nationally, pharmacy is in the top 5.4% nationally, and modeled short sleep sits in the bottom 6.5% nationally. Modeled transportation noise lands in the bottom 7.2% nationally, fiber broadband lies in the top 7.4% nationally, and modeled housing insecurity stands in the bottom 9.5% nationally. Set against that, modeled radon rests in the top 0.2% nationally, and nitrate registers in the top 3.4% nationally. Modeled binge drinking resides in the top 5.5% nationally, and fine-particle settles in the top 8.6% nationally.
Defined simply, radon is a radioactive soil gas the EPA identifies as the top cause of lung cancer in nonsmokers. Nitrate is a groundwater compound from fertilizer, manure, and sewage, here a modeled estimate of the chance private-well levels exceed a benchmark. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. ZIP 51024, just across the boundary, comes out healthier 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Social Need / SDOH
healthier than 76%
16%
Preventive Care
healthier than 85%
13%
Mental Health
healthier than 84%
8%
Disability
healthier than 71%
7%
About typical
Chronic Disease Burden
healthier than 57%
21%
Risk Behavior
healthier than 58%
11%
Climate / Disaster Risk
healthier than 51%
5%
Holding it back
Environmental Hazard
healthier than 12%
14%
Healthcare Access
healthier than 20%
5%
Lifting this score
Chronic Disease Burden
healthier than 61%
21%
Social Need / SDOH
healthier than 89%
16%
Preventive Care
healthier than 83%
13%
Risk Behavior
healthier than 85%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 70%
7%
About typical
Climate / Disaster Risk
healthier than 40%
5%
Healthcare Access
healthier than 51%
5%
Holding it back
Environmental Hazard
healthier than 11%
14%
“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
51016
Iowashares a border
Score 47.88
Closest healthier
51024
Iowashares a border
Score 56.98
Similar health profile
51366
Iowa99% similar profile
Score 55.63
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 | 29.5% | 26.4–32.9 |
| High blood pressure among adults | 36.2% | 32.5–40.4 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.5–11.6 |
| Current asthma among adults | 9.7% | 8.7–11.0 |
| Coronary heart disease among adults | 7.1% | 6.3–8.0 |
| Chronic obstructive pulmonary disease among adults | 7.1% | 6.0–8.2 |
| Depression among adults | 19.1% | 16.4–22.3 |
| Diagnosed diabetes among adults | 11.3% | 9.8–13.1 |
| High cholesterol among adults who have ever been screened | 36.7% | 33.0–41.0 |
| Obesity among adults | 38.3% | 31.9–45.7 |
| Stroke among adults | 3.5% | 3.1–4.0 |
| All teeth lost among adults aged >=65 years | 14.9% | 12.1–18.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.9% | 4.8–7.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.6% | 78.0–83.0 |
| Visits to doctor for routine checkup within the past year among adults | 78.9% | 75.6–82.0 |
| Cholesterol screening among adults | 86.8% | 84.9–88.5 |
| Colorectal cancer screening among adults aged 45–75 years | 69.4% | 64.6–73.8 |
| Visited dentist or dental clinic in the past year among adults | 72.6% | 69.5–75.5 |
| Mammography use among women aged 50-74 years | 79.5% | 72.7–84.9 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 20.2% | 17.1–23.7 |
| Current cigarette smoking among adults | 14.0% | 11.7–16.7 |
| No leisure-time physical activity among adults | 24.5% | 20.7–29.1 |
| Short sleep duration among adults | 29.2% | 23.8–35.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.6% | 14.2–19.3 |
| Frequent mental distress among adults | 15.2% | 13.4–17.1 |
| Frequent physical distress among adults | 12.7% | 11.2–14.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.4% | 10.7–14.2 |
| Any disability among adults | 27.7% | 24.0–31.9 |
| Hearing disability among adults | 8.2% | 7.3–9.3 |
| Independent living disability among adults | 7.1% | 6.1–8.2 |
| Mobility disability among adults | 13.1% | 11.2–15.3 |
| Self-care disability among adults | 3.3% | 2.8–3.7 |
| Vision disability among adults | 4.0% | 3.5–4.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.4% | 19.1–26.2 |
| Food insecurity in the past 12 months among adults | 9.1% | 7.4–11.1 |
| Received food stamps in the past 12 months among adults | 7.3% | 5.9–8.9 |
| Housing insecurity in the past 12 months among adults | 7.3% | 6.1–8.7 |
| Lack of reliable transportation in the past 12 months among adults | 5.4% | 4.7–6.3 |
| Loneliness among adults | 30.9% | 26.3–35.7 |
| Utility services shut-off threat in the past 12 months among adults | 5.0% | 4.2–5.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | IA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.8% | 10.6% (3.1–25.8%) n=32,364 | 8.5% (2.7–19.1%) n=931 |
| Uninsured 18–64 | 9.8% | 9.0% (1.5–24.3%) n=32,286 | 5.4% (0.7–14.7%) n=931 |
| No HS diploma (25+) | 4.8% | 7.9% (1.8–20.7%) n=32,505 | 5.1% (1.6–12.9%) n=932 |
| Bachelor's or higher (25+) | 29.9% | 23.3% (9.2–53.6%) n=32,505 | 20.9% (9.8–36.8%) n=932 |
| Unemployment rate (16+) | 1.0% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–6.7%) n=932 |
| Households without a vehicle | 2.4% | 3.9% (0.0–12.5%) n=32,322 | 2.4% (0.0–7.9%) n=931 |
| Broadband subscription | 92.4% | 89.3% (75.1–97.1%) n=32,322 | 88.5% (77.9–95.1%) n=931 |
| Housing cost burden (≥30% income) | 15.2% | 23.7% (10.6–40.0%) n=32,322 | 18.2% (9.0–28.8%) n=931 |
| Homeownership rate | 83.4% | 78.7% (51.7–94.0%) n=32,322 | 82.1% (66.8–93.5%) n=931 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.4% (0.0–3.3%) n=931 |
| Foreign-born population | 1.4% | 2.6% (0.0–18.6%) n=32,553 | 1.0% (0.0–7.2%) n=932 |
| Single-parent households | 59.4% | 53.6% (37.3–74.1%) n=32,087 | 56.8% (43.7–75.5%) n=928 |
| Population 65+ | 20.4% | 19.4% (10.8–33.6%) n=32,553 | 20.2% (12.7–31.0%) n=932 |
| Median age | 41.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 42.7 yr (34.1–54.7) n=931 |
| Median household income | $78,000 | $72,070 ($46,039–$118,707) n=30,318 | $73,848 ($55,055–$102,762) n=911 |
| Median home value | $219,600 | $222,200 ($100,300–$579,820) n=30,049 | $161,100 ($93,820–$278,170) n=892 |
| Median gross rent | $785 | $1,021 ($677–$1,912) n=25,670 | $825 ($614–$1,113) n=771 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | IA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 79.8 yr ± 0.96 | 78.9 yr (74.7–82.8) n=31,308 | 80.0 yr (77.2–83.4) n=917 |
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 0.96 years of 79.8, 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