ZIP code
14731
in Ellicottville, New YorkPopulation 1,226
59.08/ 100
Ranked #5,540 of 32,066 US ZIPs (top 17%)
Ranked #686 of 1,730 New York ZIPs (top 40%)
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.
Recreation access
5.5 per 1,000 residents
in the top 0.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Physician access
2.4 per 1,000 residents
in the top 5.4% nationally
Higher is healthier
ST93rdUS95thDefinition & source ›
The number of physicians’ offices 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 ›Colon-cancer screening
74.6%
in the top 3.7% nationally
Higher is healthier
ST92ndUS96thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Civic-institution access
0.79 per 1,000 residents
in the top 6.4% nationally
Higher is healthier
ST92ndUS94thDefinition & source ›
The number of civic and social organizations 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 ›Tree cover
73.8%
in the top 7.4% nationally
Higher is healthier
ST89thUS93rdDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Loud transportation noise
2.0%
in the top 7.7% nationally
Lower is healthier
ST91stUS92ndDefinition & 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 ›Mammography
80.9%
in the top 7.1% nationally
Higher is healthier
ST83rdUS93rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Cognitive disability
10.9%
in the bottom 9.5% nationally
Lower is healthier
ST27thUS9thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›High cholesterol
42.9%
in the top 11.1% nationally
Lower is healthier
ST93rdUS89thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Uninsured (under 65)
4.7%
in the bottom 4.8% nationally
Lower is healthier
ST20thUS5thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›The read
On the composite measure, Ellicottville, New York (ZIP 14731) stands in the top 17% healthiest ZIPs nationally (5,540th) and the top 40% of New York (686th), based on limited data; treat as directional.
A profile of give and take, with clear readings each way: recreation resides in the top 0.2% nationally, and physicians stands in the top 5.4% nationally. Modeled colon screening sits in the top 3.7% nationally, and civic resides in the top 6.4% nationally. Modeled tree cover stands in the top 7.4% nationally. Modeled extreme heat sits at the national minimum, shared with about 19% of ZIPs. Modeled mammography resides in the top 7.1% nationally, dental providers stands in the top 11.2% nationally, and modeled cognitive disability sits in the bottom 9.5% nationally. On the other side, modeled loud transportation noise resides in the top 7.7% nationally.
Set beside the wider area around it, recreation runs far higher than the surrounding ZIPs on this measure. For clarity, loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. ZIP 14778, about 13 miles away, ranks better overall among the ZIPs nearby.
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
Social Need / SDOH
healthier than 61%
16%
Preventive Care
healthier than 97%
13%
Risk Behavior
healthier than 72%
11%
Mental Health
healthier than 89%
8%
Disability
healthier than 71%
7%
Climate / Disaster RiskPartial
healthier than 98%
5%
About typical
Chronic Disease Burden
healthier than 41%
21%
Environmental Hazard
healthier than 57%
14%
Holding it back
Healthcare Access
healthier than 26%
5%
Lifting this score
Preventive Care
healthier than 91%
13%
Risk Behavior
healthier than 67%
11%
Mental Health
healthier than 60%
8%
Climate / Disaster RiskPartial
in the top 0.2%
5%
About typical
Social Need / SDOH
healthier than 55%
16%
Environmental Hazard
healthier than 50%
14%
Disability
healthier than 42%
7%
Holding it back
Chronic Disease Burden
healthier than 16%
21%
Healthcare Access
healthier than 23%
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
14101
New Yorkshares a border
Score 45.72
Closest healthier
14778
New Yorkabout 13 mi away
Score 59.59
Similar health profile
12816
New York99% similar profile
Score 57.38
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 | 31.7% | 28.0–35.4 |
| High blood pressure among adults | 39.6% | 35.2–44.1 |
| Cancer (non-skin) or melanoma among adults | 12.0% | 10.8–13.2 |
| Current asthma among adults | 10.5% | 9.3–11.8 |
| Coronary heart disease among adults | 8.0% | 7.1–9.0 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.7–9.1 |
| Depression among adults | 19.1% | 16.0–22.2 |
| Diagnosed diabetes among adults | 11.7% | 10.0–13.5 |
| High cholesterol among adults who have ever been screened | 42.9% | 38.1–47.4 |
| Obesity among adults | 32.9% | 26.0–40.1 |
| Stroke among adults | 3.9% | 3.5–4.4 |
| All teeth lost among adults aged >=65 years | 10.4% | 8.5–12.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.7% | 3.8–5.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.1% | 78.0–83.7 |
| Visits to doctor for routine checkup within the past year among adults | 84.0% | 81.1–86.6 |
| Cholesterol screening among adults | 91.8% | 90.5–93.0 |
| Colorectal cancer screening among adults aged 45–75 years | 74.6% | 70.2–78.6 |
| Visited dentist or dental clinic in the past year among adults | 69.2% | 66.0–72.3 |
| Mammography use among women aged 50-74 years | 80.9% | 74.5–86.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.7% | 12.9–18.7 |
| Current cigarette smoking among adults | 12.3% | 10.2–14.7 |
| No leisure-time physical activity among adults | 24.1% | 20.1–28.7 |
| Short sleep duration among adults | 34.5% | 28.6–40.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.5% | 14.1–19.2 |
| Frequent mental distress among adults | 14.0% | 12.3–15.9 |
| Frequent physical distress among adults | 13.8% | 12.0–15.7 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.9% | 9.5–12.5 |
| Any disability among adults | 28.1% | 24.1–32.4 |
| Hearing disability among adults | 7.6% | 6.7–8.5 |
| Independent living disability among adults | 7.3% | 6.3–8.3 |
| Mobility disability among adults | 14.4% | 12.4–16.8 |
| Self-care disability among adults | 3.6% | 3.2–4.2 |
| Vision disability among adults | 4.4% | 3.9–5.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.0% | 17.7–24.4 |
| Food insecurity in the past 12 months among adults | 10.2% | 8.3–12.3 |
| Received food stamps in the past 12 months among adults | 9.1% | 7.4–10.9 |
| Housing insecurity in the past 12 months among adults | 8.6% | 7.1–10.1 |
| Lack of reliable transportation in the past 12 months among adults | 5.7% | 4.9–6.6 |
| Loneliness among adults | 28.8% | 24.3–33.5 |
| Utility services shut-off threat in the past 12 months among adults | 5.4% | 4.5–6.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.8% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 6.5% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 4.7% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 34.6% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 7.2% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 8.3% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 87.2% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 37.5% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 80.9% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 4.3% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 71.5% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 33.0% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 57.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $67,583 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $286,800 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $774 | $1,021 ($677–$1,912) n=25,670 | $1,162 ($782–$2,359) n=1,367 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 83.4 yr ± 1.24 | 78.9 yr (74.7–82.8) n=31,308 | 80.9 yr (78.0–84.5) n=1,692 |
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 1.24 years of 83.4, 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