ZIP code
14173
in Yorkshire, New YorkPopulation 266
41.78/ 100
Ranked #25,403 of 32,066 US ZIPs (bottom 21%)
Ranked #1,687 of 1,730 New York ZIPs (bottom 2.5%)
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.
PFAS in drinking water
89.5%
in the top 0.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
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 ›Natural-disaster risk
in the bottom 1.9% nationally
Lower is healthier
ST4thUS2ndDefinition & 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 ›Loud transportation noise
4.1%
in the top 2.0% nationally
Lower is healthier
ST98thUS98thDefinition & 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 ›Home broadband subscription
56.7%
in the bottom 2.4% nationally
Higher is healthier
ST2ndUS2ndDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Stroke
5.7%
in the top 6.0% nationally
Lower is healthier
ST99thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Arsenic in groundwater
21.4%
in the top 5.7% nationally
Lower is healthier
ST98thUS94thDefinition & 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 ›Coronary heart disease
10.7%
in the top 5.6% nationally
Lower is healthier
ST99thUS94thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Expected annual disaster loss
$0
in the bottom 6.5% nationally
Lower is healthier
ST8thUS6thDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Housing-cost burden
9.3%
in the bottom 8.6% nationally
Lower is healthier
ST5thUS9thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›The read
Overall, Yorkshire, New York (ZIP 14173) lands in the bottom 21% nationally (25,403rd) and the bottom 2.5% of New York (1,687th), based on limited data; treat as directional.
Several measures weigh most on this area's profile, and they come first: modeled pfas settles in the top 0.5% nationally, and loud transportation noise resides in the top 2.0% nationally. Home broadband subscription registers in the bottom 2.4% nationally, and modeled stroke rests in the top 6.0% nationally. Modeled arsenic stands in the top 5.7% nationally, and coronary heart disease lies in the top 5.6% nationally. On the better side, modeled disaster risk lands in the bottom 1.9% nationally, homeownership sits at the national maximum, and modeled expected annual loss is in the bottom 6.5% nationally. Unemployment settles at the national minimum, shared with about 15% of ZIPs.
A note on the terms: pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. For a healthier nearby comparison, ZIP 14009, just across the boundary, ranks better 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
Preventive Care
healthier than 78%
13%
Climate / Disaster RiskPartial
healthier than 98%
5%
About typical
Mental Health
healthier than 52%
8%
Holding it back
Chronic Disease Burden
healthier than 8%
21%
Social Need / SDOH
healthier than 23%
16%
Environmental Hazard
healthier than 15%
14%
Risk Behavior
healthier than 24%
11%
Disability
healthier than 13%
7%
Healthcare Access
healthier than 8%
5%
Lifting this score
Climate / Disaster RiskPartial
in the top 0.07%
5%
Holding it back
Chronic Disease Burden
in the bottom 0.6%
21%
Social Need / SDOH
healthier than 21%
16%
Environmental Hazard
healthier than 6%
14%
Preventive Care
healthier than 37%
13%
Risk Behavior
healthier than 16%
11%
Mental Health
healthier than 13%
8%
Disability
healthier than 3%
7%
Healthcare Access
healthier than 9%
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
14030
New Yorkshares a border
Score 55.19
Similar health profile
17749
Pennsylvania97% similar profile
Score 45.02
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 | 35.9% | 32.2–39.6 |
| High blood pressure among adults | 43.8% | 39.3–48.0 |
| Cancer (non-skin) or melanoma among adults | 11.8% | 10.6–13.2 |
| Current asthma among adults | 11.7% | 10.4–13.2 |
| Coronary heart disease among adults | 10.7% | 9.4–12.2 |
| Chronic obstructive pulmonary disease among adults | 12.7% | 10.6–14.8 |
| Depression among adults | 21.7% | 18.3–25.2 |
| Diagnosed diabetes among adults | 15.0% | 12.9–17.3 |
| High cholesterol among adults who have ever been screened | 43.5% | 38.9–48.0 |
| Obesity among adults | 36.2% | 29.0–43.7 |
| Stroke among adults | 5.7% | 4.9–6.5 |
| All teeth lost among adults aged >=65 years | 21.1% | 17.3–25.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 7.1% | 5.3–9.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.7% | 79.1–84.0 |
| Visits to doctor for routine checkup within the past year among adults | 83.0% | 80.0–85.7 |
| Cholesterol screening among adults | 88.2% | 86.2–89.9 |
| Colorectal cancer screening among adults aged 45–75 years | 70.1% | 65.5–74.5 |
| Visited dentist or dental clinic in the past year among adults | 57.9% | 54.2–61.4 |
| Mammography use among women aged 50-74 years | 75.3% | 67.8–81.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.9% | 11.4–16.5 |
| Current cigarette smoking among adults | 18.3% | 14.9–21.6 |
| No leisure-time physical activity among adults | 34.5% | 28.8–40.4 |
| Short sleep duration among adults | 37.5% | 31.6–43.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.9% | 21.0–29.1 |
| Frequent mental distress among adults | 17.6% | 15.5–20.0 |
| Frequent physical distress among adults | 18.4% | 16.0–21.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 15.9% | 13.5–18.4 |
| Any disability among adults | 38.5% | 33.5–43.8 |
| Hearing disability among adults | 10.3% | 9.0–11.7 |
| Independent living disability among adults | 12.1% | 10.2–14.3 |
| Mobility disability among adults | 22.1% | 18.8–25.4 |
| Self-care disability among adults | 6.0% | 5.0–7.1 |
| Vision disability among adults | 7.5% | 6.3–8.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.1% | 20.4–28.2 |
| Food insecurity in the past 12 months among adults | 18.9% | 15.1–23.4 |
| Received food stamps in the past 12 months among adults | 20.1% | 16.0–24.4 |
| Housing insecurity in the past 12 months among adults | 13.2% | 10.9–15.9 |
| Lack of reliable transportation in the past 12 months among adults | 9.6% | 8.1–11.4 |
| Loneliness among adults | 32.4% | 27.6–37.9 |
| Utility services shut-off threat in the past 12 months among adults | 8.9% | 7.5–10.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.4% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 7.5% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 0.0% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 56.7% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 9.3% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 100.0% | 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 | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 83.1% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 26.7% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 61.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | — | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | — | $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 | 77.6 yr ± 1.30 | 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 1.30 years of 77.6, 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