ZIP code
14030
in Chaffee, New YorkPopulation 2,067
55.19/ 100
Ranked #9,216 of 32,066 US ZIPs (top 29%)
Ranked #1,011 of 1,730 New York ZIPs (bottom 42%)
Ranked #58 of 86 Buffalo-Cheektowaga, NY ZIPs (bottom 33%)
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
2.3 per 1,000 residents
in the top 1.1% 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 ›Grocery access
0.57 per 1,000 residents
in the top 1.2% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Fatal road crashes
43.5 per 100,000 residents per year
in the top 5.7% nationally
Lower is healthier
ST99thUS94thDefinition & source ›
The annual rate of fatal road crashes per 100,000 residents, pooled over a ten-year window.
A rate per resident population. Where a ZIP has too few residents for the rate to be reliable — about 30% of US ZIPs — no value is published rather than an unstable one; those ZIPs are absent from this comparison, not counted as crash-free.
Full methodology ›Outpatient-care access
0.57 per 1,000 residents
in the top 6.1% nationally
Higher is healthier
ST96thUS94thDefinition & 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 ›Natural-disaster risk
in the bottom 6.9% nationally
Lower is healthier
ST13thUS7thDefinition & 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 ›Distance to a community health center
17 mi
in the top 10.3% nationally
Lower is healthier
ST94thUS90thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Arsenic in groundwater
12.1%
in the top 13.6% nationally
Lower is healthier
ST91stUS86thDefinition & 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 ›Slow internet speeds
0.73%
in the top 14.8% nationally
Lower is healthier
ST92ndUS85thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Radon
2.6 pCi/L
in the top 17% nationally
Lower is healthier
ST98thUS83rdDefinition & source ›
The modeled typical indoor radon level for this area, in picocuries per liter — the EPA recommends fixing a home at 4 pCi/L or above.
Modeled from indoor-radon measurements. In Alaska and Hawaii, where those measurements are not published, a US Geological Survey geologic radon-potential category stands in — a coarser input, disclosed rather than hidden.
Full methodology ›Uninsured (under 65)
5.2%
in the bottom 7.6% nationally
Lower is healthier
ST32ndUS8thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›The read
Overall, Chaffee, New York (ZIP 14030) places in the top 29% healthiest ZIPs nationally (9,216th) and the bottom 42% of New York (1,011th), based on limited data; treat as directional.
The data opens on a genuinely even set of readings: recreation lies in the top 1.1% nationally, and grocery rests in the top 1.2% nationally. Outpatient resides in the top 6.1% nationally, and modeled disaster risk is in the bottom 6.9% nationally. Modeled extreme heat lands at the national minimum, shared with about 19% of ZIPs. Distance to a hazardous-chemical facility stands in the top 12.2% nationally, and modeled industrial-pollution burden registers in the bottom 13.7% nationally. On the other side, fatal road crashes settles in the top 5.7% nationally, distance to a community health center sits in the top 10.3% nationally, and modeled arsenic lies in the top 13.6% nationally.
Beside the areas that surround it, grocery runs far higher than the surrounding ZIPs on this measure. For readers new to these terms, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Among nearby ZIPs, the nearest healthier one overall is ZIP 14055, 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 Buffalo-Cheektowaga, NY metro area.
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 70%
16%
Preventive Care
healthier than 92%
13%
Mental Health
healthier than 69%
8%
Disability
healthier than 67%
7%
Climate / Disaster RiskPartial
healthier than 98%
5%
About typical
Chronic Disease Burden
healthier than 45%
21%
Environmental Hazard
healthier than 44%
14%
Risk Behavior
healthier than 42%
11%
Holding it back
Healthcare Access
healthier than 10%
5%
Lifting this score
Social Need / SDOH
healthier than 65%
16%
Preventive Care
healthier than 67%
13%
Climate / Disaster RiskPartial
in the top 0.07%
5%
Holding it back
Chronic Disease Burden
healthier than 19%
21%
Environmental Hazard
healthier than 35%
14%
Risk Behavior
healthier than 31%
11%
Mental Health
healthier than 26%
8%
Disability
healthier than 37%
7%
Healthcare Access
healthier than 10%
5%
Lifting this score
Climate / Disaster RiskPartial
in the top 0.00%
5%
About typical
Social Need / SDOH
healthier than 54%
16%
Preventive Care
healthier than 58%
13%
Mental Health
healthier than 46%
8%
Holding it back
Chronic Disease Burden
healthier than 20%
21%
Environmental Hazard
healthier than 23%
14%
Risk Behavior
healthier than 36%
11%
Disability
healthier than 30%
7%
Healthcare Access
healthier than 1%
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
14009
New Yorkshares a border
Score 54.26
Closest healthier
14055
New Yorkshares a border
Score 58.68
Similar health profile
13421
New York97% similar profile
Score 52.92
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 | 31.4% | 28.8–34.0 |
| High blood pressure among adults | 35.5% | 32.8–38.6 |
| Cancer (non-skin) or melanoma among adults | 10.4% | 9.4–11.3 |
| Current asthma among adults | 11.5% | 10.4–12.7 |
| Coronary heart disease among adults | 7.4% | 6.6–8.4 |
| Chronic obstructive pulmonary disease among adults | 8.1% | 7.0–9.5 |
| Depression among adults | 21.3% | 19.0–23.8 |
| Diagnosed diabetes among adults | 11.2% | 9.8–12.7 |
| High cholesterol among adults who have ever been screened | 40.2% | 37.2–43.4 |
| Obesity among adults | 33.2% | 29.5–37.2 |
| Stroke among adults | 3.7% | 3.3–4.2 |
| All teeth lost among adults aged >=65 years | 14.9% | 12.5–17.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.2% | 4.1–6.6 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.0% | 77.4–82.3 |
| Visits to doctor for routine checkup within the past year among adults | 83.0% | 80.7–85.0 |
| Cholesterol screening among adults | 90.2% | 88.7–91.4 |
| Colorectal cancer screening among adults aged 45–75 years | 70.2% | 67.1–73.1 |
| Visited dentist or dental clinic in the past year among adults | 65.3% | 62.7–67.8 |
| Mammography use among women aged 50-74 years | 79.5% | 75.2–83.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.6% | 15.4–19.8 |
| Current cigarette smoking among adults | 14.2% | 11.8–16.8 |
| No leisure-time physical activity among adults | 25.3% | 21.7–29.1 |
| Short sleep duration among adults | 37.0% | 33.7–40.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.7% | 15.2–20.5 |
| Frequent mental distress among adults | 16.0% | 14.3–17.8 |
| Frequent physical distress among adults | 14.5% | 12.7–16.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.1% | 10.5–13.8 |
| Any disability among adults | 26.8% | 23.6–30.3 |
| Hearing disability among adults | 7.0% | 6.2–7.9 |
| Independent living disability among adults | 8.1% | 7.0–9.2 |
| Mobility disability among adults | 14.1% | 12.2–16.3 |
| Self-care disability among adults | 3.9% | 3.3–4.5 |
| Vision disability among adults | 4.5% | 4.0–5.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.5% | 19.5–25.7 |
| Food insecurity in the past 12 months among adults | 11.6% | 9.5–14.0 |
| Received food stamps in the past 12 months among adults | 10.8% | 8.7–13.1 |
| Housing insecurity in the past 12 months among adults | 10.2% | 8.5–12.0 |
| Lack of reliable transportation in the past 12 months among adults | 6.6% | 5.7–7.7 |
| Loneliness among adults | 29.7% | 26.0–33.4 |
| Utility services shut-off threat in the past 12 months among adults | 6.5% | 5.5–7.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 16.0% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 8.5% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 12.5% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 19.9% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 1.7% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 3.1% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 86.2% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 15.9% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 86.2% | 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 | 0.4% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 50.9% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 16.4% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 39.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $78,182 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $218,700 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $813 | $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 | 79.1 yr ± 1.38 | 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 1.38 years of 79.1, 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