ZIP code
66767
in Prescott, KansasPopulation 374
47.22/ 100
Ranked #19,895 of 32,066 US ZIPs (bottom 38%)
Ranked #473 of 682 Kansas ZIPs (bottom 31%)
Ranked #132 of 200 Kansas City, MO-KS ZIPs (bottom 34%)
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.
Transportation noise
16%
in the top 3.9% nationally
Lower is healthier
ST98thUS96thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Distance to a nursing home
14.3 mi
in the top 5.9% nationally
Lower is healthier
ST98thUS94thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Distance to an emergency room
17.6 mi
in the top 7.6% nationally
Lower is healthier
ST97thUS92ndDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Loneliness
28.1%
in the bottom 7.9% nationally
Lower is healthier
ST14thUS8thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Natural-disaster risk
in the bottom 9.9% nationally
Lower is healthier
ST4thUS10thDefinition & 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 ›Lead in tap water
5 ppb
in the top 10.0% nationally
Lower is healthier
US90thDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Poverty rate
23.2%
in the top 13.0% nationally
Lower is healthier
ST93rdUS87thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Loud transportation noise
1.4%
in the top 13.5% nationally
Lower is healthier
ST92ndUS87thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 65 decibels — around the volume of normal conversation.
Full methodology ›Median household income
$46,635
in the bottom 10.6% 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 ›The read
Prescott, Kansas (ZIP 66767), on the composite measure, lands in the bottom 38% nationally (19,895th) and the bottom 31% of Kansas (473rd).
Where the data leans one way, another reading answers it: modeled loneliness resides in the bottom 7.9% nationally, disaster risk lies in the bottom 9.9% nationally, and industrial-pollution burden settles in the bottom 14.6% nationally. On the other hand, modeled transportation noise stands in the top 3.9% nationally, distance to a nursing home is in the top 5.9% nationally, and distance to an emergency room rests in the top 7.6% nationally. Lead in tap water sits in the top 10.0% nationally, and modeled mammography registers in the bottom 12.0% nationally. Poverty lands in the top 13.0% nationally, and modeled loud transportation noise resides in the top 13.5% nationally.
In everyday language, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. A healthier neighbor overall sits at ZIP 66056, 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.
Lifting this score
Mental Health
healthier than 64%
8%
About typical
Preventive Care
healthier than 48%
13%
Risk Behavior
healthier than 54%
11%
Holding it back
Chronic Disease Burden
healthier than 30%
21%
Social Need / SDOH
healthier than 19%
16%
Environmental Hazard
healthier than 27%
14%
Disability
healthier than 39%
7%
Climate / Disaster Risk
healthier than 40%
5%
Healthcare Access
healthier than 22%
5%
Lifting this score
Climate / Disaster Risk
healthier than 88%
5%
About typical
Preventive Care
healthier than 51%
13%
Risk Behavior
healthier than 48%
11%
Mental Health
healthier than 41%
8%
Healthcare Access
healthier than 40%
5%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Social Need / SDOH
healthier than 11%
16%
Environmental Hazard
healthier than 27%
14%
Disability
healthier than 32%
7%
Lifting this score
Mental Health
healthier than 69%
8%
Climate / Disaster Risk
healthier than 62%
5%
About typical
Environmental Hazard
healthier than 58%
14%
Preventive Care
healthier than 53%
13%
Risk Behavior
healthier than 58%
11%
Holding it back
Chronic Disease Burden
healthier than 12%
21%
Social Need / SDOH
healthier than 13%
16%
Disability
healthier than 32%
7%
Healthcare Access
healthier than 4%
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
66056
Kansasshares a border
Score 48.98
Closest healthier
66075
Kansasshares a border
Score 49.59
Similar health profile
95443
California93% similar profile
Score 42.96
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 | 33.7% | 30.1–37.6 |
| High blood pressure among adults | 39.3% | 35.0–43.8 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.5–11.6 |
| Current asthma among adults | 10.7% | 9.4–12.1 |
| Coronary heart disease among adults | 8.6% | 7.6–9.6 |
| Chronic obstructive pulmonary disease among adults | 9.5% | 8.2–11.1 |
| Depression among adults | 21.2% | 18.0–24.7 |
| Diagnosed diabetes among adults | 13.5% | 11.6–15.5 |
| High cholesterol among adults who have ever been screened | 40.6% | 36.2–45.2 |
| Obesity among adults | 39.0% | 31.6–46.9 |
| Stroke among adults | 4.2% | 3.8–4.7 |
| All teeth lost among adults aged >=65 years | 12.9% | 10.4–15.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.8% | 6.1–9.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 82.1% | 79.3–84.5 |
| Visits to doctor for routine checkup within the past year among adults | 79.3% | 75.7–82.5 |
| Cholesterol screening among adults | 86.9% | 85.0–88.6 |
| Colorectal cancer screening among adults aged 45–75 years | 63.8% | 58.5–69.1 |
| Visited dentist or dental clinic in the past year among adults | 63.4% | 59.6–66.8 |
| Mammography use among women aged 50-74 years | 69.5% | 60.9–77.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.2% | 11.6–17.1 |
| Current cigarette smoking among adults | 17.8% | 14.8–21.1 |
| No leisure-time physical activity among adults | 29.2% | 24.4–34.7 |
| Short sleep duration among adults | 33.2% | 27.2–39.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 20.7% | 17.8–24.3 |
| Frequent mental distress among adults | 16.6% | 14.5–18.8 |
| Frequent physical distress among adults | 14.9% | 13.0–17.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.8% | 12.8–17.0 |
| Any disability among adults | 33.7% | 29.0–38.6 |
| Hearing disability among adults | 9.4% | 8.4–10.6 |
| Independent living disability among adults | 8.8% | 7.6–10.2 |
| Mobility disability among adults | 17.4% | 14.9–20.1 |
| Self-care disability among adults | 4.4% | 3.8–5.0 |
| Vision disability among adults | 5.0% | 4.4–5.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.9% | 16.7–23.4 |
| Food insecurity in the past 12 months among adults | 12.3% | 10.1–15.1 |
| Received food stamps in the past 12 months among adults | 7.9% | 6.4–10.0 |
| Housing insecurity in the past 12 months among adults | 10.0% | 8.3–11.9 |
| Lack of reliable transportation in the past 12 months among adults | 6.6% | 5.7–7.8 |
| Loneliness among adults | 28.1% | 23.6–33.1 |
| Utility services shut-off threat in the past 12 months among adults | 8.0% | 6.8–9.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | KS median (p10–p90) |
|---|---|---|---|
| Poverty rate | 23.2% | 10.6% (3.1–25.8%) n=32,364 | 8.8% (2.7–20.7%) n=688 |
| Uninsured 18–64 | 27.7% | 9.0% (1.5–24.3%) n=32,286 | 10.6% (2.3–24.2%) n=686 |
| No HS diploma (25+) | 6.5% | 7.9% (1.8–20.7%) n=32,505 | 5.7% (1.1–14.8%) n=689 |
| Bachelor's or higher (25+) | 19.8% | 23.3% (9.2–53.6%) n=32,505 | 24.0% (11.3–43.6%) n=689 |
| Unemployment rate (16+) | 5.6% | 3.9% (0.0–9.8%) n=32,274 | 2.2% (0.0–7.1%) n=689 |
| Households without a vehicle | 5.3% | 3.9% (0.0–12.5%) n=32,322 | 2.8% (0.0–8.3%) n=688 |
| Broadband subscription | 81.3% | 89.3% (75.1–97.1%) n=32,322 | 88.4% (75.3–96.9%) n=688 |
| Housing cost burden (≥30% income) | 28.7% | 23.7% (10.6–40.0%) n=32,322 | 19.5% (7.8–31.9%) n=688 |
| Homeownership rate | 77.8% | 78.7% (51.7–94.0%) n=32,322 | 79.7% (59.7–94.6%) n=688 |
| Crowded housing (>1 per room) | 1.8% | 1.3% (0.0–6.3%) n=32,322 | 0.7% (0.0–4.6%) n=688 |
| Foreign-born population | 2.1% | 2.6% (0.0–18.6%) n=32,553 | 1.1% (0.0–9.9%) n=692 |
| Single-parent households | 53.3% | 53.6% (37.3–74.1%) n=32,087 | 55.7% (41.7–78.0%) n=684 |
| Population 65+ | 33.4% | 19.4% (10.8–33.6%) n=32,553 | 20.6% (11.9–35.1%) n=692 |
| Median age | 54.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 41.9 yr (32.2–56.9) n=689 |
| Median household income | $46,635 | $72,070 ($46,039–$118,707) n=30,318 | $67,738 ($49,860–$97,877) n=659 |
| Median home value | $104,800 | $222,200 ($100,300–$579,820) n=30,049 | $135,800 ($68,740–$290,700) n=627 |
| Median gross rent | $903 | $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 | 76.9 yr ± 1.22 | 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 1.22 years of 76.9, 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