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ZipVitals

ZIP code

64130

in Kansas City, MissouriPopulation 19,644

27.77/ 100

Ranked #31,134 of 32,066 US ZIPs (bottom 3.0%)

Ranked #971 of 993 Missouri ZIPs (bottom 2.3%)

Ranked #193 of 200 Kansas City, MO-KS ZIPs (bottom 3.5%)

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.

Self-care disability

8.8%

in the top 1.6% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Independent-living disability

15.8%

in the top 1.8% nationally

Lower is healthier

ST98th
US98th
Definition & source ›

The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.

Full methodology ›

Stroke

6.8%

in the top 1.6% nationally

Lower is healthier

ST98th
US98th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have had a stroke.

Full methodology ›

Vision disability

11.2%

in the top 3.0% nationally

Lower is healthier

ST99th
US97th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Mobility disability

27.5%

in the top 1.4% nationally

Lower is healthier

ST98th
US99th
Definition & source ›

The estimated share of adults with serious difficulty walking or climbing stairs.

Full methodology ›

Diabetes

21.6%

in the top 2.0% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

The estimated share of adults who have been diagnosed with diabetes.

Full methodology ›

Utility shut-off threat

25%

in the top 0.8% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Fair or poor health

34.9%

in the top 2.8% nationally

Lower is healthier

ST98th
US97th
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

Tooth loss

29.8%

in the top 3.3% nationally

Lower is healthier

ST96th
US97th
Definition & source ›

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

Full methodology ›

Housing insecurity

30.8%

in the top 1.4% nationally

Lower is healthier

ST99th
US99th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

The read

ZIP 64130, one of several in Kansas City, Missouri, by its overall standing, sits in the bottom 3.0% nationally (31,134th) and the bottom 2.3% of Missouri (971st).

continue reading

The data points to real strain across a number of measures here: modeled self-care disability is in the top 1.6% nationally, independent living disability resides in the top 1.8% nationally, and stroke rests in the top 1.6% nationally. Modeled vision disability lies in the top 3.0% nationally, mobility disability sits in the top 1.4% nationally, and diabetes settles in the top 2.0% nationally. Modeled utility shutoff registers in the top 0.8% nationally, and fair or poor health stands in the top 2.8% nationally. Modeled tooth loss lands in the top 3.3% nationally, and housing insecurity is in the top 1.4% nationally.

Held up against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. The nearest ZIP ranking healthier overall is ZIP 64110, 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

Healthcare Access

healthier than 93%

5%

Holding it back

Chronic Disease Burden

healthier than 5%

21%

Social Need / SDOH

healthier than 3%

16%

Environmental Hazard

healthier than 4%

14%

Preventive Care

healthier than 24%

13%

Risk Behavior

healthier than 2%

11%

Mental Health

healthier than 18%

8%

Disability

healthier than 2%

7%

Climate / Disaster Risk

healthier than 34%

5%

Lifting this score

Healthcare Access

healthier than 94%

5%

Holding it back

Chronic Disease Burden

healthier than 5%

21%

Social Need / SDOH

healthier than 1%

16%

Environmental Hazard

healthier than 4%

14%

Preventive Care

healthier than 24%

13%

Risk Behavior

healthier than 2%

11%

Mental Health

healthier than 21%

8%

Disability

healthier than 1%

7%

Climate / Disaster Risk

healthier than 39%

5%

Lifting this score

Healthcare Access

healthier than 93%

5%

About typical

Climate / Disaster Risk

healthier than 44%

5%

Holding it back

Chronic Disease Burden

in the bottom 0.6%

21%

Social Need / SDOH

healthier than 2%

16%

Environmental Hazard

healthier than 17%

14%

Preventive Care

healthier than 22%

13%

Risk Behavior

healthier than 4%

11%

Mental Health

healthier than 17%

8%

Disability

healthier than 2%

7%

“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 69.9 ± 1.4 years. A median household income of $42,221 predicts 76.7 years — 6.8 years below.

    Ranked #5,794 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Below its nearby ZIPs

    The ZIP codes that outlive their neighbors

    Estimated life expectancy is 69.9 ± 1.4 years. The 45 nearest ZIP codes with estimates average 76.0 years — 6.1 years below them.

    Ranked #3,553 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.

  • Highest-risk tenth

    Air toxics and the years between the two ends of the risk scale

    Modeled air-toxics cancer risk is 40.0 cases per million — among the tenth of compared ZIP codes with the most. Estimated life expectancy is 69.9 ± 1.4 years.

    Ranked #504 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.

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 adults32.3%29.7–34.8
High blood pressure among adults49.9%47.0–52.9
Cancer (non-skin) or melanoma among adults5.5%5.1–6.1
Current asthma among adults12.6%11.3–14.1
Coronary heart disease among adults8.8%8.0–9.6
Chronic obstructive pulmonary disease among adults11.0%9.9–12.1
Depression among adults22.4%19.9–25.1
Diagnosed diabetes among adults21.6%19.5–23.8
High cholesterol among adults who have ever been screened40.6%37.7–43.7
Obesity among adults48.8%44.6–53.1
Stroke among adults6.8%6.3–7.3
All teeth lost among adults aged >=65 years29.8%25.6–34.0
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years14.2%12.3–16.1
Taking medicine to control high blood pressure among adults with high blood pressure80.2%78.1–82.3
Visits to doctor for routine checkup within the past year among adults81.2%78.9–83.5
Cholesterol screening among adults84.0%82.2–85.6
Colorectal cancer screening among adults aged 45–75 years60.5%56.2–64.6
Visited dentist or dental clinic in the past year among adults46.7%43.4–49.9
Mammography use among women aged 50-74 years74.9%68.8–80.2
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults11.9%10.3–13.8
Current cigarette smoking among adults22.5%20.1–25.1
No leisure-time physical activity among adults45.3%41.7–49.0
Short sleep duration among adults45.1%41.0–49.1
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults34.9%32.0–37.9
Frequent mental distress among adults21.6%19.6–23.7
Frequent physical distress among adults18.4%16.6–20.3
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults22.6%20.5–24.7
Any disability among adults48.0%44.6–51.3
Hearing disability among adults7.7%6.9–8.5
Independent living disability among adults15.8%14.3–17.3
Mobility disability among adults27.5%25.2–29.9
Self-care disability among adults8.8%8.1–9.6
Vision disability among adults11.2%10.3–12.2
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults31.1%27.8–34.5
Food insecurity in the past 12 months among adults37.0%33.6–40.5
Received food stamps in the past 12 months among adults34.4%31.1–37.9
Housing insecurity in the past 12 months among adults30.8%27.7–33.9
Lack of reliable transportation in the past 12 months among adults19.6%17.6–21.7
Loneliness among adults37.6%34.0–41.4
Utility services shut-off threat in the past 12 months among adults25.0%22.5–27.7
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)MO median (p10–p90)
Poverty rate26.0%10.6% (3.1–25.8%) n=32,36412.3% (3.2–26.0%) n=1,009
Uninsured 18–6421.2%9.0% (1.5–24.3%) n=32,28613.2% (3.5–28.4%) n=1,006
No HS diploma (25+)14.4%7.9% (1.8–20.7%) n=32,5059.5% (2.5–20.5%) n=1,009
Bachelor's or higher (25+)14.9%23.3% (9.2–53.6%) n=32,50518.1% (7.2–40.2%) n=1,009
Unemployment rate (16+)6.9%3.9% (0.0–9.8%) n=32,2742.9% (0.0–8.5%) n=1,003
Households without a vehicle21.0%3.9% (0.0–12.5%) n=32,3224.1% (0.0–11.9%) n=1,009
Broadband subscription86.0%89.3% (75.1–97.1%) n=32,32286.3% (72.7–95.2%) n=1,009
Housing cost burden (≥30% income)38.3%23.7% (10.6–40.0%) n=32,32220.7% (8.4–33.9%) n=1,009
Homeownership rate51.6%78.7% (51.7–94.0%) n=32,32279.4% (56.0–94.3%) n=1,009
Crowded housing (>1 per room)1.1%1.3% (0.0–6.3%) n=32,3221.1% (0.0–5.1%) n=1,009
Foreign-born population5.5%2.6% (0.0–18.6%) n=32,5530.8% (0.0–6.4%) n=1,010
Single-parent households32.9%53.6% (37.3–74.1%) n=32,08755.0% (39.5–75.6%) n=1,005
Population 65+17.0%19.4% (10.8–33.6%) n=32,55319.2% (11.7–31.1%) n=1,010
Median age35.6 yr42.2 yr (33.0–56.3) n=32,29241.5 yr (33.3–55.9) n=1,005
Median household income$42,221$72,070 ($46,039–$118,707) n=30,318$61,740 ($42,457–$95,231) n=948
Median home value$86,300$222,200 ($100,300–$579,820) n=30,049$174,150 ($91,880–$309,500) n=930
Median gross rent$1,081$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 birth69.9 yr ± 0.7178.9 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 0.71 years of 69.9, 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