ZIP code
66714
in Benedict, KansasPopulation 162
42.51/ 100
Ranked #24,808 of 32,066 US ZIPs (bottom 23%)
Ranked #628 of 682 Kansas ZIPs (bottom 8.0%)
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.
Hearing disability
11.8%
in the top 5.2% nationally
Lower is healthier
ST95thUS95thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Coronary heart disease
10.6%
in the top 6.0% nationally
Lower is healthier
ST96thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Arsenic in groundwater
1.4%
in the bottom 11.0% nationally
Lower is healthier
ST5thUS11thDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
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 ›Energy-cost burden
4.9%
in the top 10.9% nationally
Lower is healthier
ST92ndUS89thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›High cholesterol
42.9%
in the top 11.1% nationally
Lower is healthier
ST92ndUS89thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Stroke
5.1%
in the top 12.8% nationally
Lower is healthier
ST96thUS87thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Natural-disaster risk
in the bottom 16% nationally
Lower is healthier
ST7thUS16thDefinition & 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 ›High blood pressure
44.1%
in the top 15% nationally
Lower is healthier
ST94thUS85thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Median household income
$47,361
in the bottom 11.4% nationally
Higher is healthier
ST7thUS11thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Mobility disability
20%
in the top 17% nationally
Lower is healthier
ST94thUS83rdDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›The read
By the composite measure, Benedict, Kansas (ZIP 66714) sits in the bottom 23% nationally (24,808th) and the bottom 8.0% of Kansas (628th).
The readings split fairly evenly between strengths and concerns: unemployment sits at the national minimum, shared with about 15% of ZIPs. Housing-cost burden registers in the bottom 10.6% nationally, and modeled arsenic lands in the bottom 11.0% nationally. Working the other way, modeled hearing disability resides in the top 5.2% nationally, and coronary heart disease lies in the top 6.0% nationally. Fiber broadband settles at the national minimum, shared with about 19% of ZIPs. Modeled extreme heat stands in the top 12.6% nationally, and energy burden is in the top 10.9% nationally. Distance to a nursing home rests in the top 14.2% nationally, and modeled mammography sits in the bottom 13.2% nationally.
In plain language, arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Energy burden is the share of household income that goes to home energy bills. ZIP 66710, just across the boundary, ranks 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Mental Health
healthier than 72%
8%
About typical
Environmental Hazard
healthier than 48%
14%
Risk Behavior
healthier than 42%
11%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Social Need / SDOH
healthier than 22%
16%
Preventive Care
healthier than 34%
13%
Disability
healthier than 21%
7%
Climate / Disaster Risk
healthier than 20%
5%
Healthcare Access
healthier than 17%
5%
Lifting this score
Environmental Hazard
healthier than 63%
14%
Mental Health
healthier than 60%
8%
Holding it back
Chronic Disease Burden
healthier than 2%
21%
Social Need / SDOH
healthier than 13%
16%
Preventive Care
healthier than 28%
13%
Risk Behavior
healthier than 27%
11%
Disability
healthier than 6%
7%
Climate / Disaster Risk
healthier than 26%
5%
Healthcare Access
healthier than 33%
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
66710
Kansasshares a border
Score 42.61
Closest healthier
66717
Kansasshares a border
Score 43.42
Similar health profile
31735
Georgia97% similar profile
Score 36.66
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 | 35.5% | 31.9–39.3 |
| High blood pressure among adults | 44.1% | 39.8–48.4 |
| Cancer (non-skin) or melanoma among adults | 11.5% | 10.3–12.8 |
| Current asthma among adults | 10.4% | 9.1–11.7 |
| Coronary heart disease among adults | 10.6% | 9.3–12.0 |
| Chronic obstructive pulmonary disease among adults | 11.0% | 9.4–12.9 |
| Depression among adults | 20.5% | 17.3–23.9 |
| Diagnosed diabetes among adults | 15.7% | 13.6–18.1 |
| High cholesterol among adults who have ever been screened | 42.9% | 38.2–47.4 |
| Obesity among adults | 39.9% | 31.8–48.1 |
| Stroke among adults | 5.1% | 4.5–5.8 |
| All teeth lost among adults aged >=65 years | 18.3% | 14.8–22.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.6% | 7.4–11.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.1% | 80.7–85.3 |
| Visits to doctor for routine checkup within the past year among adults | 79.1% | 75.6–82.2 |
| Cholesterol screening among adults | 85.4% | 83.4–87.2 |
| Colorectal cancer screening among adults aged 45–75 years | 63.2% | 57.0–68.8 |
| Visited dentist or dental clinic in the past year among adults | 55.3% | 50.9–59.6 |
| Mammography use among women aged 50-74 years | 69.8% | 60.0–78.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.5% | 11.1–16.2 |
| Current cigarette smoking among adults | 17.8% | 14.8–21.0 |
| No leisure-time physical activity among adults | 31.3% | 26.1–37.0 |
| Short sleep duration among adults | 36.1% | 28.9–43.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 23.2% | 19.9–26.8 |
| Frequent mental distress among adults | 16.1% | 14.1–18.3 |
| Frequent physical distress among adults | 15.8% | 13.8–18.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.9% | 13.8–18.2 |
| Any disability among adults | 38.7% | 33.6–43.9 |
| Hearing disability among adults | 11.8% | 10.4–13.3 |
| Independent living disability among adults | 9.7% | 8.4–11.2 |
| Mobility disability among adults | 20.0% | 17.1–23.0 |
| Self-care disability among adults | 4.9% | 4.3–5.7 |
| Vision disability among adults | 6.0% | 5.2–6.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.1% | 17.9–24.7 |
| Food insecurity in the past 12 months among adults | 13.7% | 11.4–16.6 |
| Received food stamps in the past 12 months among adults | 8.5% | 6.9–10.5 |
| Housing insecurity in the past 12 months among adults | 10.4% | 8.7–12.3 |
| Lack of reliable transportation in the past 12 months among adults | 7.6% | 6.5–8.8 |
| Loneliness among adults | 29.6% | 25.0–34.5 |
| Utility services shut-off threat in the past 12 months among adults | 8.3% | 7.1–9.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 17.3% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 19.3% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 16.2% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 3.6% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 5.5% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 90.9% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 10.9% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 87.3% | 78.7% (51.7–94.0%) n=32,322 | 79.7% (59.7–94.6%) n=688 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.6%) n=688 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 41.9% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 16.0% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 41.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $47,361 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | — | $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 | 78.0 yr ± 1.58 | 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 1.58 years of 78.0, 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