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ZipVitals

ZIP code

64120

in Kansas City, MissouriPopulation 552

27.14/ 100

Ranked #31,220 of 32,066 US ZIPs (bottom 2.7%)

Ranked #977 of 993 Missouri ZIPs (bottom 1.7%)

Ranked #194 of 200 Kansas City, MO-KS ZIPs (bottom 3.0%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Tooth loss

46.8%

in the top 0.2% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults aged 65 and older who have lost all of their natural teeth.

Full methodology ›

Transit access

110 per 1,000 residents

in the top 0.03% nationally

Higher is healthier

ST99th
US99th
Definition & 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 ›

Cognitive disability

24.9%

in the top 1.1% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.

Full methodology ›

PFAS in drinking water

89.3%

in the top 0.5% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.

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 ›

Mammography

62.6%

in the bottom 1.4% nationally

Higher is healthier

ST1st
US1st
Definition & source ›

The estimated share of women aged 50–74 who had a mammogram within the past two years.

Full methodology ›

Colon-cancer screening

50.6%

in the bottom 2.3% nationally

Higher is healthier

ST1st
US2nd
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Loud transportation noise

7.0%

in the top 0.7% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.

Full methodology ›

Pharmacy access

1.1 per 1,000 residents

in the top 0.7% nationally

Higher is healthier

ST99th
US99th
Definition & 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 ›

Transportation noise

39.1%

in the top 0.8% nationally

Lower is healthier

ST99th
US99th
Definition & 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 ›

Industrial-pollution burden

in the top 1.1% nationally

Lower is healthier

ST99th
US99th
Definition & 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

In overall standing, ZIP 64120, one of several in Kansas City, Missouri comes out in the bottom 2.7% nationally (31,220th) and the bottom 1.7% of Missouri (977th).

continue reading

The profile opens on the burdens that define it most: modeled tooth loss resides in the top 0.2% nationally, cognitive disability rests in the top 1.1% nationally, and pfas lies in the top 0.5% nationally. Modeled mammography sits in the bottom 1.4% nationally, colon screening settles in the bottom 2.3% nationally, and loud transportation noise registers in the top 0.7% nationally. Modeled transportation noise stands in the top 0.8% nationally, and industrial-pollution burden lands in the top 1.1% nationally. More positively, transit is in the top 0.03% nationally, and pharmacy resides in the top 0.7% nationally.

Relative to the ZIPs around it, transit runs far higher than the surrounding ZIPs on this measure. In plain terms, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. The nearest healthier ZIP overall is ZIP 64105, 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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 69%

21%

Healthcare Access

healthier than 75%

5%

Holding it back

Social Need / SDOH

healthier than 9%

16%

Environmental Hazard

in the bottom 0.05%

14%

Preventive Care

in the bottom 0.6%

13%

Risk Behavior

healthier than 2%

11%

Mental Health

healthier than 1%

8%

Disability

healthier than 12%

7%

Climate / Disaster Risk

healthier than 10%

5%

Lifting this score

Chronic Disease Burden

healthier than 87%

21%

Healthcare Access

healthier than 82%

5%

Holding it back

Social Need / SDOH

healthier than 6%

16%

Environmental Hazard

in the bottom 0.4%

14%

Preventive Care

in the bottom 0.2%

13%

Risk Behavior

healthier than 3%

11%

Mental Health

in the bottom 0.4%

8%

Disability

healthier than 19%

7%

Climate / Disaster Risk

healthier than 5%

5%

Lifting this score

Chronic Disease Burden

healthier than 60%

21%

Healthcare Access

healthier than 69%

5%

Holding it back

Social Need / SDOH

healthier than 7%

16%

Environmental Hazard

healthier than 2%

14%

Preventive Care

in the bottom 0.6%

13%

Risk Behavior

healthier than 5%

11%

Mental Health

in the bottom 0.6%

8%

Disability

healthier than 8%

7%

Climate / Disaster Risk

healthier than 4%

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.

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
MeasureCrude prevalence95% CI
Arthritis among adults19.4%17.6–21.3
High blood pressure among adults28.7%26.4–31.4
Cancer (non-skin) or melanoma among adults4.1%3.8–4.6
Current asthma among adults10.8%9.6–12.2
Coronary heart disease among adults5.8%5.2–6.5
Chronic obstructive pulmonary disease among adults9.1%7.8–10.6
Depression among adults30.7%27.6–34.2
Diagnosed diabetes among adults10.4%9.2–11.7
High cholesterol among adults who have ever been screened31.8%29.2–34.7
Obesity among adults39.4%35.4–43.7
Stroke among adults3.3%2.9–3.7
All teeth lost among adults aged >=65 years46.8%41.7–51.7
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years16.4%13.0–20.9
Taking medicine to control high blood pressure among adults with high blood pressure62.7%59.8–65.4
Visits to doctor for routine checkup within the past year among adults69.6%65.8–73.0
Cholesterol screening among adults72.8%68.2–76.6
Colorectal cancer screening among adults aged 45–75 years50.6%46.1–55.2
Visited dentist or dental clinic in the past year among adults43.4%40.3–46.4
Mammography use among women aged 50-74 years62.6%55.4–69.5
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults20.1%17.3–23.0
Current cigarette smoking among adults21.7%17.6–26.2
No leisure-time physical activity among adults36.3%31.8–41.6
Short sleep duration among adults37.7%33.8–41.6
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults27.5%24.0–31.8
Frequent mental distress among adults24.4%21.4–27.7
Frequent physical distress among adults15.6%13.7–17.9
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults24.9%21.2–29.1
Any disability among adults41.5%36.9–46.6
Hearing disability among adults7.5%6.7–8.5
Independent living disability among adults13.6%11.6–16.1
Mobility disability among adults15.9%14.1–18.0
Self-care disability among adults5.4%4.8–6.3
Vision disability among adults8.2%7.2–9.4
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults24.2%20.7–28.2
Food insecurity in the past 12 months among adults28.6%23.6–34.9
Received food stamps in the past 12 months among adults25.5%20.8–31.3
Housing insecurity in the past 12 months among adults22.8%19.0–27.3
Lack of reliable transportation in the past 12 months among adults16.3%13.7–19.5
Loneliness among adults36.8%32.8–41.4
Utility services shut-off threat in the past 12 months among adults17.5%14.9–20.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MO median (p10–p90)
Poverty rate10.5%10.6% (3.1–25.8%) n=32,36412.3% (3.2–26.0%) n=1,009
Uninsured 18–646.4%9.0% (1.5–24.3%) n=32,28613.2% (3.5–28.4%) n=1,006
No HS diploma (25+)8.8%7.9% (1.8–20.7%) n=32,5059.5% (2.5–20.5%) n=1,009
Bachelor's or higher (25+)59.8%23.3% (9.2–53.6%) n=32,50518.1% (7.2–40.2%) n=1,009
Unemployment rate (16+)1.6%3.9% (0.0–9.8%) n=32,2742.9% (0.0–8.5%) n=1,003
Households without a vehicle11.9%3.9% (0.0–12.5%) n=32,3224.1% (0.0–11.9%) n=1,009
Broadband subscription92.5%89.3% (75.1–97.1%) n=32,32286.3% (72.7–95.2%) n=1,009
Housing cost burden (≥30% income)31.1%23.7% (10.6–40.0%) n=32,32220.7% (8.4–33.9%) n=1,009
Homeownership rate7.5%78.7% (51.7–94.0%) n=32,32279.4% (56.0–94.3%) n=1,009
Crowded housing (>1 per room)0.0%1.3% (0.0–6.3%) n=32,3221.1% (0.0–5.1%) n=1,009
Foreign-born population0.0%2.6% (0.0–18.6%) n=32,5530.8% (0.0–6.4%) n=1,010
Single-parent households45.2%53.6% (37.3–74.1%) n=32,08755.0% (39.5–75.6%) n=1,005
Population 65+5.8%19.4% (10.8–33.6%) n=32,55319.2% (11.7–31.1%) n=1,010
Median age29.5 yr42.2 yr (33.0–56.3) n=32,29241.5 yr (33.3–55.9) n=1,005
Median household income$76,833$72,070 ($46,039–$118,707) n=30,318$61,740 ($42,457–$95,231) n=948
Median home value$38,000$222,200 ($100,300–$579,820) n=30,049$174,150 ($91,880–$309,500) n=930
Median gross rent$1,737$1,021 ($677–$1,912) n=25,670$813 ($553–$1,265) n=786
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)MO median (p10–p90)
Life expectancy at birth72.0 yr ± 2.0678.9 yr (74.7–82.8) n=31,30877.6 yr (74.6–81.0) n=995

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 2.06 years of 72.0, and it’s very unlikely to be off by more than twice that.

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