ZIP code
66725
in Columbus, KansasPopulation 4,991
45.19/ 100
Ranked #22,214 of 32,066 US ZIPs (bottom 31%)
Ranked #568 of 682 Kansas ZIPs (bottom 17%)
Ranked #9 of 31 Joplin, MO-KS ZIPs (top 29%)
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.
Mental-health provider access
0.2 per 1,000 residents
in the top 4.3% nationally
Higher is healthier
ST95thUS96thDefinition & source ›
The number of mental-health clinics 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 ›Fine-particle (PM2.5) exceedance
1.4%
in the top 6.9% nationally
Lower is healthier
ST99thUS93rdDefinition & 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 ›Distance to a Superfund site
1.2 mi
in the bottom 7.8% nationally
Higher is healthier
ST4thUS8thDefinition & 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 ›Outpatient-care access
0.39 per 1,000 residents
in the top 11.9% nationally
Higher is healthier
ST90thUS88thDefinition & source ›
The number of outpatient clinics 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 ›Obesity
43%
in the top 9.0% nationally
Lower is healthier
ST95thUS91stDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Median household income
$48,443
in the bottom 12.4% nationally
Higher is healthier
ST8thUS12thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Humid extreme heat
90 days/year
in the top 28% nationally
Lower is healthier
ST98thUS72ndDefinition & source ›
The average number of days per year when modeled heat stress — temperature, humidity, sun, and wind combined — reaches levels hard on the body outdoors.
Full methodology ›The read
Columbus, Kansas (ZIP 66725), overall, ranks in the bottom 31% nationally (22,214th) and the bottom 17% of Kansas (568th).
Reading the numbers as a whole, the picture lands somewhere in between: mental-health providers registers in the top 4.3% nationally. Distance to an emergency room resides at the national minimum, shared with about 11% of ZIPs. Distance to a community health center settles at the national minimum, shared with about 23% of ZIPs. Outpatient is in the top 11.9% nationally. Distance to a nursing home sits at the national minimum, shared with about 27% of ZIPs. On the other side, modeled fine-particle lands in the top 6.9% nationally, and distance to a Superfund site lies in the bottom 7.8% nationally. Modeled obesity stands in the top 9.0% nationally, modeled disaster risk rests in the top 13.3% nationally, and floodplain exposure registers in the top 13.5% nationally.
Defined simply, fine-particle is fine airborne particles about one-thirtieth the width of a hair, counted on modeled days above the EPA standard. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. ZIP 66753, just across the boundary, comes out healthier overall.
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 Joplin, MO-KS metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Healthcare Access
in the top 0.00%
5%
About typical
Mental Health
healthier than 53%
8%
Holding it back
Chronic Disease Burden
healthier than 29%
21%
Social Need / SDOH
healthier than 33%
16%
Environmental Hazard
healthier than 28%
14%
Preventive Care
healthier than 35%
13%
Risk Behavior
healthier than 39%
11%
Disability
healthier than 31%
7%
Climate / Disaster Risk
healthier than 17%
5%
Lifting this score
Healthcare Access
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Social Need / SDOH
healthier than 29%
16%
Environmental Hazard
healthier than 29%
14%
Preventive Care
healthier than 29%
13%
Risk Behavior
healthier than 23%
11%
Mental Health
healthier than 20%
8%
Disability
healthier than 16%
7%
Climate / Disaster Risk
healthier than 15%
5%
Lifting this score
Social Need / SDOH
healthier than 63%
16%
Preventive Care
healthier than 73%
13%
Risk Behavior
healthier than 93%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 63%
7%
Healthcare Access
in the top 0.00%
5%
Holding it back
Chronic Disease Burden
healthier than 37%
21%
Environmental Hazard
healthier than 27%
14%
Climate / Disaster Risk
healthier than 10%
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.
Nearby
66713
Kansasshares a border
Score 38.31
Closest healthier
66753
Kansasshares a border
Score 46.20
Similar health profile
66748
Kansas97% similar profile
Score 45.61
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 | 32.2% | 28.8–35.7 |
| High blood pressure among adults | 38.9% | 34.9–43.2 |
| Cancer (non-skin) or melanoma among adults | 9.8% | 8.9–10.7 |
| Current asthma among adults | 10.8% | 9.6–12.1 |
| Coronary heart disease among adults | 8.5% | 7.6–9.5 |
| Chronic obstructive pulmonary disease among adults | 9.6% | 8.4–10.9 |
| Depression among adults | 22.2% | 19.0–25.8 |
| Diagnosed diabetes among adults | 13.2% | 11.4–15.1 |
| High cholesterol among adults who have ever been screened | 39.5% | 35.3–43.7 |
| Obesity among adults | 43.0% | 35.7–50.7 |
| Stroke among adults | 4.2% | 3.8–4.7 |
| All teeth lost among adults aged >=65 years | 16.0% | 13.0–19.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.0% | 7.5–10.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.8% | 78.2–83.2 |
| Visits to doctor for routine checkup within the past year among adults | 78.4% | 75.0–81.6 |
| Cholesterol screening among adults | 84.7% | 82.8–86.6 |
| Colorectal cancer screening among adults aged 45–75 years | 60.6% | 55.0–65.7 |
| Visited dentist or dental clinic in the past year among adults | 58.7% | 54.8–62.4 |
| Mammography use among women aged 50-74 years | 73.5% | 65.1–80.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.4% | 11.8–17.2 |
| Current cigarette smoking among adults | 18.0% | 15.5–20.8 |
| No leisure-time physical activity among adults | 30.1% | 25.5–34.9 |
| Short sleep duration among adults | 35.9% | 29.6–42.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 21.9% | 19.2–25.1 |
| Frequent mental distress among adults | 17.1% | 15.1–19.1 |
| Frequent physical distress among adults | 15.2% | 13.5–17.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 16.2% | 14.3–18.3 |
| Any disability among adults | 37.4% | 32.8–42.0 |
| Hearing disability among adults | 9.8% | 8.7–10.9 |
| Independent living disability among adults | 9.6% | 8.5–10.9 |
| Mobility disability among adults | 17.8% | 15.6–20.3 |
| Self-care disability among adults | 4.5% | 4.1–5.1 |
| Vision disability among adults | 5.6% | 5.0–6.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.1% | 17.9–24.6 |
| Food insecurity in the past 12 months among adults | 14.2% | 11.8–16.8 |
| Received food stamps in the past 12 months among adults | 9.2% | 7.6–11.0 |
| Housing insecurity in the past 12 months among adults | 11.1% | 9.3–13.0 |
| Lack of reliable transportation in the past 12 months among adults | 7.9% | 6.8–9.1 |
| Loneliness among adults | 30.5% | 25.8–35.8 |
| Utility services shut-off threat in the past 12 months among adults | 8.8% | 7.5–10.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 17.4% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 13.7% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 7.0% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 27.8% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 4.3% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 3.7% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 86.4% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 30.2% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 75.0% | 78.7% (51.7–94.0%) n=32,322 | 79.7% (59.7–94.6%) n=688 |
| Crowded housing (>1 per room) | 2.0% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.6%) n=688 |
| Foreign-born population | 0.9% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 61.5% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 21.3% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 43.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $48,443 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $105,000 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | $803 | $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 | 78.1 yr ± 1.00 | 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 1.00 years of 78.1, 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