ZIP code
66106
in Kansas City, KansasPopulation 24,245
42.75/ 100
Ranked #24,589 of 32,066 US ZIPs (bottom 23%)
Ranked #623 of 682 Kansas ZIPs (bottom 8.7%)
Ranked #165 of 200 Kansas City, MO-KS ZIPs (bottom 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.
Industrial-pollution burden
in the top 0.2% nationally
Lower is healthier
ST99thUS99thDefinition & 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 ›Air-toxics cancer risk
49 per million
in the top 1.2% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The EPA’s modeled estimate of added lifetime cancer risk from breathing outdoor air toxics, in cases per million people exposed over a lifetime.
Full methodology ›Uninsured (under 65)
18.1%
in the top 6.4% nationally
Lower is healthier
ST98thUS94thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Lead in tap water
7.5 ppb
in the top 5.6% nationally
Lower is healthier
US94thDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Distance to a Superfund site
0.6 mi
in the bottom 5.7% nationally
Higher is healthier
ST3rdUS6thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Expected annual disaster loss
$0
in the top 6.0% nationally
Lower is healthier
ST95thUS94thDefinition & 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 ›Utility shut-off threat
13.1%
in the top 10.8% nationally
Lower is healthier
ST97thUS89thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Housing insecurity
17.8%
in the top 12.7% nationally
Lower is healthier
ST97thUS87thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Transit access
1.9 per 1,000 residents
in the top 15% nationally
Higher is healthier
ST95thUS85thDefinition & 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 ›Dry extreme heat
28.7 days/year
in the top 16% nationally
Lower is healthier
ST8thUS84thDefinition & source ›
The average number of days per year with a modeled daily high of at least 95 °F.
Full methodology ›The read
ZIP 66106, one of several in Kansas City, Kansas, by its composite score, sits in the bottom 23% nationally (24,589th) and the bottom 8.7% of Kansas (623rd).
The data opens on real and measurable burdens: modeled industrial-pollution burden settles in the top 0.2% nationally, and air-toxics cancer risk sits in the top 1.2% nationally. Modeled uninsured lies in the top 6.4% nationally, and lead in tap water rests in the top 5.6% nationally. Distance to a Superfund site resides in the bottom 5.7% nationally, modeled expected annual loss is in the top 6.0% nationally, and modeled utility shutoff lands in the top 10.8% nationally. Modeled housing insecurity stands in the top 12.7% nationally, modeled disaster risk registers in the top 14.1% nationally, and lithium in drinking water settles in the top 14.2% nationally.
Next to the surrounding area, industrial-pollution burden runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Air-toxics cancer risk is a modeled EPA estimate of added lifetime cancer risk from breathing outdoor air, per million people. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. For a healthier comparison close by, see ZIP 66103, 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 Kansas City, MO-KS 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 64%
21%
Mental Health
healthier than 71%
8%
Healthcare Access
healthier than 69%
5%
Holding it back
Social Need / SDOH
healthier than 18%
16%
Environmental Hazard
in the bottom 0.05%
14%
Preventive Care
healthier than 10%
13%
Risk Behavior
healthier than 20%
11%
Disability
healthier than 34%
7%
Climate / Disaster Risk
healthier than 30%
5%
Lifting this score
Chronic Disease Burden
healthier than 74%
21%
Climate / Disaster Risk
healthier than 63%
5%
Healthcare Access
healthier than 81%
5%
About typical
Mental Health
healthier than 58%
8%
Holding it back
Social Need / SDOH
healthier than 11%
16%
Environmental Hazard
in the bottom 0.00%
14%
Preventive Care
healthier than 5%
13%
Risk Behavior
healthier than 6%
11%
Disability
healthier than 22%
7%
Lifting this score
Mental Health
healthier than 75%
8%
About typical
Chronic Disease Burden
healthier than 55%
21%
Healthcare Access
healthier than 57%
5%
Holding it back
Social Need / SDOH
healthier than 11%
16%
Environmental Hazard
healthier than 2%
14%
Preventive Care
healthier than 9%
13%
Risk Behavior
healthier than 23%
11%
Disability
healthier than 29%
7%
Climate / Disaster Risk
healthier than 36%
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
3 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 75.8 ± 1.5 years. A median household income of $61,331 predicts 78.1 years — 2.4 years below.
Ranked #3,249 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 0.0 (bottom 1%); chronic-disease standing 64.4 — 64 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,853 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Highest-risk tenth
Air toxics and the years between the two ends of the risk scale
Modeled air-toxics cancer risk is 49.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 75.8 ± 1.5 years.
Ranked #217 of the 4,173 ZIP codes this finding names, ordered by modeled air-toxics risk, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
66102
Kansasshares a border
Score 34.28
Closest healthier
66103
Kansasshares a border
Score 48.18
Similar health profile
60633
Illinois92% similar profile
Score 44.63
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 | 23.5% | 21.0–25.8 |
| High blood pressure among adults | 35.1% | 31.8–38.2 |
| Cancer (non-skin) or melanoma among adults | 6.2% | 5.6–6.9 |
| Current asthma among adults | 9.9% | 8.7–11.2 |
| Coronary heart disease among adults | 6.6% | 6.0–7.3 |
| Chronic obstructive pulmonary disease among adults | 7.5% | 6.7–8.3 |
| Depression among adults | 18.8% | 16.1–21.6 |
| Diagnosed diabetes among adults | 13.5% | 11.9–15.2 |
| High cholesterol among adults who have ever been screened | 35.5% | 32.2–38.7 |
| Obesity among adults | 40.0% | 35.1–44.8 |
| Stroke among adults | 3.5% | 3.3–3.8 |
| All teeth lost among adults aged >=65 years | 18.4% | 15.9–21.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 18.1% | 15.8–20.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 74.9% | 71.8–77.7 |
| Visits to doctor for routine checkup within the past year among adults | 74.6% | 71.0–78.1 |
| Cholesterol screening among adults | 80.9% | 78.6–83.1 |
| Colorectal cancer screening among adults aged 45–75 years | 59.9% | 56.1–63.7 |
| Visited dentist or dental clinic in the past year among adults | 56.0% | 53.1–59.0 |
| Mammography use among women aged 50-74 years | 72.9% | 67.3–78.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.2% | 13.5–19.2 |
| Current cigarette smoking among adults | 17.9% | 15.6–20.3 |
| No leisure-time physical activity among adults | 34.2% | 30.3–37.9 |
| Short sleep duration among adults | 35.7% | 32.2–39.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.6% | 21.9–27.3 |
| Frequent mental distress among adults | 17.5% | 15.4–19.5 |
| Frequent physical distress among adults | 14.6% | 12.8–16.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.4% | 15.5–19.4 |
| Any disability among adults | 32.3% | 28.8–35.8 |
| Hearing disability among adults | 7.2% | 6.4–8.1 |
| Independent living disability among adults | 9.8% | 8.7–10.9 |
| Mobility disability among adults | 15.4% | 13.7–17.2 |
| Self-care disability among adults | 4.8% | 4.4–5.3 |
| Vision disability among adults | 6.8% | 6.1–7.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.7% | 22.8–28.8 |
| Food insecurity in the past 12 months among adults | 21.3% | 18.9–23.9 |
| Received food stamps in the past 12 months among adults | 13.0% | 11.4–14.9 |
| Housing insecurity in the past 12 months among adults | 17.8% | 15.7–20.0 |
| Lack of reliable transportation in the past 12 months among adults | 11.1% | 9.9–12.4 |
| Loneliness among adults | 33.2% | 29.7–36.9 |
| Utility services shut-off threat in the past 12 months among adults | 13.1% | 11.6–14.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.1% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 25.2% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 15.5% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 16.4% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 6.3% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 6.6% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 87.4% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 32.2% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 68.3% | 78.7% (51.7–94.0%) n=32,322 | 79.7% (59.7–94.6%) n=688 |
| Crowded housing (>1 per room) | 2.5% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.6%) n=688 |
| Foreign-born population | 15.6% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 37.0% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 11.8% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 33.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $61,331 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $168,800 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | $1,013 | $1,021 ($677–$1,912) n=25,670 | $820 ($592–$1,257) n=519 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 75.8 yr ± 0.75 | 78.9 yr (74.7–82.8) n=31,308 | 78.9 yr (76.2–81.8) n=687 |
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 0.75 years of 75.8, 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