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ZipVitals

ZIP code

66047

in Lawrence, KansasPopulation 20,473

57.21/ 100

Ranked #7,062 of 32,066 US ZIPs (top 22%)

Ranked #69 of 682 Kansas ZIPs (top 10.2%)

Too few scored ZIPs in the Lawrence, KS metro area to rank within it.

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.

Park land

23.2%

in the top 6.0% nationally

Higher is healthier

ST99th
US94th
Definition & source ›

The share of this ZIP’s land area that is public parkland.

Full methodology ›

Homeownership rate

45.8%

in the bottom 7.2% nationally

Higher is healthier

ST3rd
US7th
Definition & source ›

The share of occupied homes that are owned, rather than rented, by the people living in them.

Full methodology ›

Natural-disaster risk

in the top 8.6% nationally

Lower is healthier

ST94th
US91st
Definition & source ›

This area’s national rank on its single highest non-flood natural hazard — such as wildfire, tornado, or earthquake — in FEMA’s modeled National Risk Index; flooding is shown separately.

Full methodology ›

Expected annual disaster loss

$0

in the top 9.1% nationally

Lower is healthier

ST92nd
US91st
Definition & 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 ›

Transit access

3.1 per 1,000 residents

in the top 9.8% nationally

Higher is healthier

ST96th
US90th
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 ›

High blood pressure

29%

in the bottom 8.3% nationally

Lower is healthier

ST3rd
US8th
Definition & source ›

The estimated share of adults who have been told by a health professional that they have high blood pressure.

Full methodology ›

Subsidized affordable housing

218 units

in the top 11.1% nationally

Higher is healthier

ST95th
US89th
Definition & source ›

The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.

Full methodology ›

Diabetes

9.1%

in the bottom 9.4% nationally

Lower is healthier

ST5th
US9th
Definition & source ›

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

Full methodology ›

High cholesterol

33.3%

in the bottom 10.6% nationally

Lower is healthier

ST3rd
US11th
Definition & source ›

The estimated share of adults with high cholesterol, among those who have ever been screened for it.

Full methodology ›

Housing-cost burden

36.3%

in the top 15% nationally

Lower is healthier

ST94th
US85th
Definition & source ›

The share of households spending 30% or more of their income on housing.

Full methodology ›

The read

ZIP 66047, one of several in Lawrence, Kansas ranks in the top 22% healthiest ZIPs nationally (7,062nd) and the top 10.2% of Kansas (69th).

continue reading

The bright spots in the data define much of the story here: park land rests in the top 6.0% nationally, and transit lands in the top 9.8% nationally. Modeled high blood pressure settles in the bottom 8.3% nationally, and subsidized affordable housing rests in the top 11.1% nationally. Modeled diabetes lands in the bottom 9.4% nationally. On the other side, homeownership settles in the bottom 7.2% nationally, modeled disaster risk rests in the top 8.6% nationally, and modeled expected annual loss lands in the top 9.1% nationally. Floodplain exposure settles in the top 12.8% nationally, and outer-floodplain exposure rests in the top 13.1% nationally.

Against its neighbors, park land runs far higher than the surrounding ZIPs on this measure. For context, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. The closest ZIP that ranks healthier overall is ZIP 66006, 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 Lawrence, 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 86%

21%

Social Need / SDOH

healthier than 76%

16%

Risk Behavior

healthier than 78%

11%

Disability

healthier than 75%

7%

Healthcare Access

healthier than 69%

5%

About typical

Mental Health

healthier than 47%

8%

Holding it back

Environmental Hazard

healthier than 40%

14%

Preventive Care

healthier than 37%

13%

Climate / Disaster Risk

healthier than 18%

5%

Lifting this score

Chronic Disease Burden

healthier than 93%

21%

Social Need / SDOH

healthier than 85%

16%

Risk Behavior

healthier than 89%

11%

Disability

healthier than 83%

7%

Healthcare Access

healthier than 82%

5%

About typical

Environmental Hazard

healthier than 50%

14%

Holding it back

Preventive Care

healthier than 34%

13%

Mental Health

healthier than 13%

8%

Climate / Disaster Risk

healthier than 17%

5%

Lifting this score

Environmental Hazard

healthier than 71%

14%

About typical

Social Need / SDOH

healthier than 43%

16%

Preventive Care

healthier than 57%

13%

Risk Behavior

healthier than 57%

11%

Mental Health

healthier than 57%

8%

Disability

healthier than 57%

7%

Healthcare Access

healthier than 43%

5%

Holding it back

Chronic Disease Burden

healthier than 29%

21%

Climate / Disaster Risk

healthier than 14%

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

One of our published findings lists 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.

  • Above what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 80.4 ± 1.9 years. A median household income of $65,392 predicts 78.4 years — 2.0 years above.

    Ranked #952 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, 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 adults23.2%21.0–25.7
High blood pressure among adults29.0%26.3–32.0
Cancer (non-skin) or melanoma among adults7.7%7.0–8.4
Current asthma among adults10.1%9.0–11.4
Coronary heart disease among adults5.4%4.8–6.0
Chronic obstructive pulmonary disease among adults5.8%5.1–6.5
Depression among adults23.9%21.1–27.2
Diagnosed diabetes among adults9.1%8.0–10.4
High cholesterol among adults who have ever been screened33.3%30.2–36.5
Obesity among adults31.3%27.1–36.1
Stroke among adults2.8%2.5–3.0
All teeth lost among adults aged >=65 years10.3%8.5–12.5
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years7.9%6.7–9.2
Taking medicine to control high blood pressure among adults with high blood pressure75.9%73.4–78.3
Visits to doctor for routine checkup within the past year among adults77.7%74.7–80.7
Cholesterol screening among adults82.2%80.0–84.2
Colorectal cancer screening among adults aged 45–75 years65.6%61.6–69.4
Visited dentist or dental clinic in the past year among adults66.5%63.6–69.4
Mammography use among women aged 50-74 years73.0%66.6–78.8
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults18.1%15.6–21.1
Current cigarette smoking among adults11.9%10.2–13.7
No leisure-time physical activity among adults19.7%16.9–22.8
Short sleep duration among adults31.5%27.7–35.5
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults15.4%13.5–17.5
Frequent mental distress among adults16.5%14.7–18.4
Frequent physical distress among adults11.2%9.9–12.6
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults14.5%12.8–16.2
Any disability among adults28.8%25.6–32.4
Hearing disability among adults6.7%6.0–7.5
Independent living disability among adults7.4%6.6–8.3
Mobility disability among adults11.4%10.0–12.9
Self-care disability among adults3.0%2.7–3.3
Vision disability among adults4.1%3.7–4.6
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults20.6%17.8–23.5
Food insecurity in the past 12 months among adults11.7%9.9–13.6
Received food stamps in the past 12 months among adults7.1%5.9–8.4
Housing insecurity in the past 12 months among adults10.0%8.5–11.5
Lack of reliable transportation in the past 12 months among adults7.3%6.3–8.2
Loneliness among adults29.7%26.0–33.5
Utility services shut-off threat in the past 12 months among adults8.1%7.0–9.2
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)KS median (p10–p90)
Poverty rate15.5%10.6% (3.1–25.8%) n=32,3648.8% (2.7–20.7%) n=688
Uninsured 18–6412.1%9.0% (1.5–24.3%) n=32,28610.6% (2.3–24.2%) n=686
No HS diploma (25+)3.2%7.9% (1.8–20.7%) n=32,5055.7% (1.1–14.8%) n=689
Bachelor's or higher (25+)55.6%23.3% (9.2–53.6%) n=32,50524.0% (11.3–43.6%) n=689
Unemployment rate (16+)3.1%3.9% (0.0–9.8%) n=32,2742.2% (0.0–7.1%) n=689
Households without a vehicle6.0%3.9% (0.0–12.5%) n=32,3222.8% (0.0–8.3%) n=688
Broadband subscription90.2%89.3% (75.1–97.1%) n=32,32288.4% (75.3–96.9%) n=688
Housing cost burden (≥30% income)36.3%23.7% (10.6–40.0%) n=32,32219.5% (7.8–31.9%) n=688
Homeownership rate45.8%78.7% (51.7–94.0%) n=32,32279.7% (59.7–94.6%) n=688
Crowded housing (>1 per room)2.1%1.3% (0.0–6.3%) n=32,3220.7% (0.0–4.6%) n=688
Foreign-born population7.7%2.6% (0.0–18.6%) n=32,5531.1% (0.0–9.9%) n=692
Single-parent households51.7%53.6% (37.3–74.1%) n=32,08755.7% (41.7–78.0%) n=684
Population 65+16.3%19.4% (10.8–33.6%) n=32,55320.6% (11.9–35.1%) n=692
Median age32.1 yr42.2 yr (33.0–56.3) n=32,29241.9 yr (32.2–56.9) n=689
Median household income$65,392$72,070 ($46,039–$118,707) n=30,318$67,738 ($49,860–$97,877) n=659
Median home value$342,300$222,200 ($100,300–$579,820) n=30,049$135,800 ($68,740–$290,700) n=627
Median gross rent$1,147$1,021 ($677–$1,912) n=25,670$820 ($592–$1,257) n=519
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)KS median (p10–p90)
Life expectancy at birth80.4 yr ± 0.9678.9 yr (74.7–82.8) n=31,30878.9 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 0.96 years of 80.4, 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