ZIP code
13483
in Westdale, New YorkPopulation 377
49.49/ 100
Ranked #16,952 of 32,066 US ZIPs (bottom 47%)
Ranked #1,473 of 1,730 New York ZIPs (bottom 14.9%)
Ranked #56 of 64 Utica-Rome, NY ZIPs (bottom 12.5%)
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.
Home broadband subscription
52.8%
in the bottom 1.8% nationally
Higher is healthier
ST1stUS2ndDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Distance to a nursing home
18.8 mi
in the top 3.8% nationally
Lower is healthier
ST99thUS96thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Natural-disaster risk
in the bottom 3.8% nationally
Lower is healthier
ST6thUS4thDefinition & 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 ›Slow internet speeds
2.1%
in the top 5.5% nationally
Lower is healthier
ST97thUS95thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Distance to an emergency room
19.8 mi
in the top 5.6% nationally
Lower is healthier
ST97thUS94thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Energy-cost burden
5.5%
in the top 5.1% nationally
Lower is healthier
ST99thUS95thDefinition & 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 ›Homeownership rate
45.7%
in the bottom 7.1% nationally
Higher is healthier
ST11thUS7thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Binge drinking
19.2%
in the top 9.8% nationally
Lower is healthier
ST92ndUS90thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›Housing-cost burden
13.4%
in the bottom 15.0% nationally
Lower is healthier
ST9thUS15thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Colon-cancer screening
62.5%
in the bottom 25% nationally
Higher is healthier
ST8thUS25thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›The read
Overall, Westdale, New York (ZIP 13483) lands in the bottom 47% nationally (16,952nd) and the bottom 14.9% of New York (1,473rd).
The signals balance out across the profile, strengths against concerns: modeled disaster risk lies in the bottom 3.8% nationally. Modeled extreme heat lands at the national minimum, shared with about 19% of ZIPs. Modeled loud transportation noise sits at the national minimum, shared with about 22% of ZIPs. Set against that, home broadband subscription is in the bottom 1.8% nationally, distance to a nursing home settles in the top 3.8% nationally, and slow internet speeds resides in the top 5.5% nationally. Distance to an emergency room registers in the top 5.6% nationally, modeled energy burden rests in the top 5.1% nationally, and homeownership stands in the bottom 7.1% nationally. Modeled binge drinking lies in the top 9.8% nationally.
A note on the 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. Energy burden is the share of household income that goes to home energy bills. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. For a healthier nearby comparison, ZIP 13316, 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. Compare it against the US, this state and the Utica-Rome, NY metro area.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 81%
14%
Disability
healthier than 64%
7%
Climate / Disaster Risk
healthier than 63%
5%
About typical
Chronic Disease Burden
healthier than 58%
21%
Preventive Care
healthier than 53%
13%
Mental Health
healthier than 44%
8%
Holding it back
Social Need / SDOH
healthier than 12%
16%
Risk Behavior
healthier than 16%
11%
Healthcare Access
healthier than 8%
5%
Lifting this score
Environmental Hazard
healthier than 88%
14%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Social Need / SDOH
healthier than 11%
16%
Preventive Care
healthier than 17%
13%
Risk Behavior
healthier than 10%
11%
Mental Health
healthier than 8%
8%
Disability
healthier than 33%
7%
Climate / Disaster Risk
healthier than 26%
5%
Healthcare Access
healthier than 9%
5%
Lifting this score
Environmental Hazard
healthier than 70%
14%
About typical
Chronic Disease Burden
healthier than 48%
21%
Holding it back
Social Need / SDOH
healthier than 9%
16%
Preventive Care
healthier than 12%
13%
Risk Behavior
healthier than 12%
11%
Mental Health
healthier than 9%
8%
Disability
healthier than 33%
7%
Climate / Disaster Risk
healthier than 36%
5%
Healthcare Access
healthier than 18%
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
13316
New Yorkshares a border
Score 51.82
Closest healthier
13028
New Yorkabout 3.2 mi away
Score 50.13
Similar health profile
16881
Pennsylvania96% similar profile
Score 47.39
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 | 28.4% | 25.7–31.5 |
| High blood pressure among adults | 34.1% | 30.7–37.7 |
| Cancer (non-skin) or melanoma among adults | 8.5% | 7.7–9.4 |
| Current asthma among adults | 11.6% | 10.3–12.9 |
| Coronary heart disease among adults | 6.3% | 5.5–7.1 |
| Chronic obstructive pulmonary disease among adults | 8.0% | 6.8–9.4 |
| Depression among adults | 22.1% | 19.1–25.2 |
| Diagnosed diabetes among adults | 10.3% | 9.0–11.9 |
| High cholesterol among adults who have ever been screened | 36.8% | 33.3–40.6 |
| Obesity among adults | 36.2% | 30.6–42.1 |
| Stroke among adults | 3.4% | 3.0–3.8 |
| All teeth lost among adults aged >=65 years | 16.5% | 13.9–19.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.3% | 4.8–7.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 76.1% | 73.3–78.8 |
| Visits to doctor for routine checkup within the past year among adults | 78.6% | 75.3–81.6 |
| Cholesterol screening among adults | 86.9% | 84.9–88.6 |
| Colorectal cancer screening among adults aged 45–75 years | 62.5% | 58.3–66.4 |
| Visited dentist or dental clinic in the past year among adults | 58.6% | 55.4–61.7 |
| Mammography use among women aged 50-74 years | 78.7% | 73.1–83.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 19.2% | 16.1–22.4 |
| Current cigarette smoking among adults | 15.7% | 13.0–18.4 |
| No leisure-time physical activity among adults | 27.0% | 22.8–31.3 |
| Short sleep duration among adults | 39.5% | 34.6–44.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.2% | 15.4–21.0 |
| Frequent mental distress among adults | 18.2% | 16.1–20.4 |
| Frequent physical distress among adults | 14.3% | 12.4–16.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.3% | 12.4–16.3 |
| Any disability among adults | 29.0% | 25.1–33.1 |
| Hearing disability among adults | 6.0% | 5.3–6.8 |
| Independent living disability among adults | 8.5% | 7.3–9.7 |
| Mobility disability among adults | 13.6% | 11.5–15.8 |
| Self-care disability among adults | 3.9% | 3.3–4.5 |
| Vision disability among adults | 4.8% | 4.1–5.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.0% | 20.5–27.8 |
| Food insecurity in the past 12 months among adults | 14.2% | 11.5–17.0 |
| Received food stamps in the past 12 months among adults | 13.2% | 10.7–15.9 |
| Housing insecurity in the past 12 months among adults | 12.0% | 10.0–14.2 |
| Lack of reliable transportation in the past 12 months among adults | 8.1% | 6.9–9.4 |
| Loneliness among adults | 33.8% | 29.3–38.3 |
| Utility services shut-off threat in the past 12 months among adults | 7.2% | 6.1–8.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.5% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 3.0% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 4.5% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 13.8% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 3.0% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 6.3% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 52.8% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 13.4% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 45.7% | 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 | 1.1% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 84.2% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 6.6% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 49.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $115,341 | $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 | $855 | $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 | 80.0 yr ± 1.19 | 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 1.19 years of 80.0, 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