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ZipVitals

ZIP code

67337

in Coffeyville, KansasPopulation 10,890

37.84/ 100

Ranked #28,113 of 32,066 US ZIPs (bottom 12.4%)

Ranked #668 of 682 Kansas ZIPs (bottom 2.1%)

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.

Expected annual disaster loss

$0

in the top 5.8% nationally

Lower is healthier

ST95th
US94th
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 ›

Distance to an emergency room

18.3 mi

in the top 6.8% nationally

Lower is healthier

ST98th
US93rd
Definition & source ›

The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.

Full methodology ›

Industrial-pollution burden

in the top 8.1% nationally

Lower is healthier

ST90th
US92nd
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 ›

Elder-services access

0.17 per 1,000 residents

in the top 8.7% nationally

Higher is healthier

ST74th
US91st
Definition & source ›

The number of services for older adults and people with disabilities 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 ›

Mammography

68.7%

in the bottom 9.4% nationally

Higher is healthier

ST7th
US9th
Definition & source ›

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

Full methodology ›

Fine-particle (PM2.5) exceedance

0.83%

in the top 10.2% nationally

Lower is healthier

ST95th
US90th
Definition & 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 ›

Utility shut-off threat

12.9%

in the top 11.4% nationally

Lower is healthier

ST97th
US89th
Definition & source ›

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

Full methodology ›

Colon-cancer screening

58.6%

in the bottom 10.5% nationally

Higher is healthier

ST6th
US10th
Definition & source ›

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

Full methodology ›

Households without a vehicle

11.2%

in the top 12.2% nationally

Lower is healthier

ST95th
US88th
Definition & source ›

The share of households with no vehicle available.

Full methodology ›

Subsidized affordable housing

157 units

in the top 14.0% nationally

Higher is healthier

ST93rd
US86th
Definition & source ›

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

Full methodology ›

The read

By its overall health score, Coffeyville, Kansas (ZIP 67337) lands in the bottom 12.4% nationally (28,113th) and the bottom 2.1% of Kansas (668th).

continue reading

The measures split the difference for this area: elder services registers in the top 8.7% nationally. Distance to a community health center sits at the national minimum, shared with about 23% of ZIPs. Against that, modeled expected annual loss rests in the top 5.8% nationally, distance to an emergency room is in the top 6.8% nationally, and modeled industrial-pollution burden stands in the top 8.1% nationally. Modeled mammography settles in the bottom 9.4% nationally, fine-particle lies in the top 10.2% nationally, and utility shutoff resides in the top 11.4% nationally. Modeled extreme heat lands in the top 11.4% nationally, and colon screening registers in the bottom 10.5% nationally.

Weighed against the ZIPs nearby, expected annual loss runs far higher than the surrounding ZIPs on this measure. To translate a couple of terms, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Overall, the nearest healthier neighbor is ZIP 67301, 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.

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 64%

5%

Holding it back

Chronic Disease Burden

healthier than 18%

21%

Social Need / SDOH

healthier than 18%

16%

Environmental Hazard

healthier than 20%

14%

Preventive Care

healthier than 14%

13%

Risk Behavior

healthier than 16%

11%

Mental Health

healthier than 39%

8%

Disability

healthier than 13%

7%

Climate / Disaster Risk

healthier than 16%

5%

Lifting this score

Healthcare Access

healthier than 77%

5%

Holding it back

Chronic Disease Burden

healthier than 6%

21%

Social Need / SDOH

healthier than 10%

16%

Environmental Hazard

healthier than 17%

14%

Preventive Care

healthier than 7%

13%

Risk Behavior

healthier than 4%

11%

Mental Health

healthier than 6%

8%

Disability

healthier than 3%

7%

Climate / Disaster Risk

healthier than 12%

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.

  • Below what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 75.2 ± 1.7 years. A median household income of $51,500 predicts 77.5 years — 2.3 years below.

    Ranked #3,092 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 adults32.4%29.2–35.6
High blood pressure among adults42.1%38.2–46.0
Cancer (non-skin) or melanoma among adults8.9%8.0–9.7
Current asthma among adults11.3%10.0–12.6
Coronary heart disease among adults9.2%8.3–10.1
Chronic obstructive pulmonary disease among adults10.9%9.8–12.0
Depression among adults22.1%19.0–25.5
Diagnosed diabetes among adults15.5%13.6–17.4
High cholesterol among adults who have ever been screened39.5%35.6–43.5
Obesity among adults41.3%34.7–48.2
Stroke among adults4.9%4.5–5.3
All teeth lost among adults aged >=65 years19.4%16.3–23.0
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years12.4%10.7–14.3
Taking medicine to control high blood pressure among adults with high blood pressure80.2%77.8–82.3
Visits to doctor for routine checkup within the past year among adults76.9%73.4–80.2
Cholesterol screening among adults82.1%80.1–83.9
Colorectal cancer screening among adults aged 45–75 years58.6%53.6–63.6
Visited dentist or dental clinic in the past year among adults53.6%49.9–57.3
Mammography use among women aged 50-74 years68.7%60.5–76.0
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.2%11.8–17.0
Current cigarette smoking among adults20.4%17.9–23.0
No leisure-time physical activity among adults32.9%28.5–37.5
Short sleep duration among adults39.2%33.6–45.2
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults25.7%22.8–28.6
Frequent mental distress among adults18.8%16.8–20.9
Frequent physical distress among adults16.6%14.7–18.5
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults18.8%16.8–20.8
Any disability among adults39.8%35.6–44.0
Hearing disability among adults10.3%9.2–11.3
Independent living disability among adults11.6%10.4–12.9
Mobility disability among adults20.1%17.8–22.3
Self-care disability among adults5.9%5.4–6.4
Vision disability among adults7.5%6.8–8.2
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults23.7%20.6–27.1
Food insecurity in the past 12 months among adults21.3%18.8–24.1
Received food stamps in the past 12 months among adults15.0%13.1–17.1
Housing insecurity in the past 12 months among adults15.8%13.9–17.9
Lack of reliable transportation in the past 12 months among adults11.2%10.0–12.6
Loneliness among adults33.3%28.9–38.1
Utility services shut-off threat in the past 12 months among adults12.9%11.5–14.5
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)KS median (p10–p90)
Poverty rate18.9%10.6% (3.1–25.8%) n=32,3648.8% (2.7–20.7%) n=688
Uninsured 18–6414.7%9.0% (1.5–24.3%) n=32,28610.6% (2.3–24.2%) n=686
No HS diploma (25+)11.2%7.9% (1.8–20.7%) n=32,5055.7% (1.1–14.8%) n=689
Bachelor's or higher (25+)17.1%23.3% (9.2–53.6%) n=32,50524.0% (11.3–43.6%) n=689
Unemployment rate (16+)2.6%3.9% (0.0–9.8%) n=32,2742.2% (0.0–7.1%) n=689
Households without a vehicle11.2%3.9% (0.0–12.5%) n=32,3222.8% (0.0–8.3%) n=688
Broadband subscription84.0%89.3% (75.1–97.1%) n=32,32288.4% (75.3–96.9%) n=688
Housing cost burden (≥30% income)28.7%23.7% (10.6–40.0%) n=32,32219.5% (7.8–31.9%) n=688
Homeownership rate72.3%78.7% (51.7–94.0%) n=32,32279.7% (59.7–94.6%) n=688
Crowded housing (>1 per room)2.4%1.3% (0.0–6.3%) n=32,3220.7% (0.0–4.6%) n=688
Foreign-born population4.7%2.6% (0.0–18.6%) n=32,5531.1% (0.0–9.9%) n=692
Single-parent households46.9%53.6% (37.3–74.1%) n=32,08755.7% (41.7–78.0%) n=684
Population 65+19.0%19.4% (10.8–33.6%) n=32,55320.6% (11.9–35.1%) n=692
Median age42.0 yr42.2 yr (33.0–56.3) n=32,29241.9 yr (32.2–56.9) n=689
Median household income$51,500$72,070 ($46,039–$118,707) n=30,318$67,738 ($49,860–$97,877) n=659
Median home value$75,000$222,200 ($100,300–$579,820) n=30,049$135,800 ($68,740–$290,700) n=627
Median gross rent$736$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 birth75.2 yr ± 0.8978.9 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 0.89 years of 75.2, 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