ZIP code
14549
in Silver Lake, New YorkPopulation 426
53.49/ 100
Ranked #11,371 of 32,066 US ZIPs (top 35%)
Ranked #1,187 of 1,730 New York ZIPs (bottom 31%)
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.
Unemployment rate
44.4%
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of the civilian labor force that is unemployed.
Full methodology ›Poverty rate
50.9%
in the top 1.5% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Housing-cost burden
56.3%
in the top 1.6% nationally
Lower is healthier
ST98thUS98thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Colon-cancer screening
77.6%
in the top 0.8% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Expected annual disaster loss
$0
in the bottom 2.1% nationally
Lower is healthier
ST1stUS2ndDefinition & 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 ›Transportation noise
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›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 ›Natural-disaster risk
in the bottom 2.7% nationally
Lower is healthier
ST5thUS3rdDefinition & 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 ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Arsenic in groundwater
29.8%
in the top 3.3% nationally
Lower is healthier
ST99thUS97thDefinition & 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 ›The read
In its overall standing, Silver Lake, New York (ZIP 14549) lands in the top 35% healthiest ZIPs nationally (11,371st) and the bottom 31% of New York (1,187th), based on limited data; treat as directional.
Taken together, the data gives a genuinely mixed reading: modeled colon screening registers in the top 0.8% nationally, expected annual loss resides in the bottom 2.1% nationally, and transportation noise settles at the national minimum. Homeownership is at the national maximum, modeled disaster risk sits in the bottom 2.7% nationally, and home broadband subscription lands at the national maximum. On the other side, unemployment lies in the top 0.4% nationally, and poverty stands in the top 1.5% nationally. Housing-cost burden rests in the top 1.6% nationally, and modeled arsenic registers in the top 3.3% nationally.
Against the wider neighborhood, unemployment runs far higher than the surrounding ZIPs on this measure. Put simply, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. 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. On the overall standing, ZIP 14481, about 3.3 miles away, ranks healthier.
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
Environmental Hazard
healthier than 66%
14%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 70%
11%
Mental Health
healthier than 79%
8%
Climate / Disaster RiskPartial
healthier than 96%
5%
About typical
Social Need / SDOH
healthier than 56%
16%
Disability
healthier than 43%
7%
Healthcare Access
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 15%
21%
Lifting this score
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 85%
13%
Risk Behavior
healthier than 65%
11%
Climate / Disaster RiskPartial
healthier than 97%
5%
About typical
Social Need / SDOH
healthier than 50%
16%
Mental Health
healthier than 41%
8%
Holding it back
Chronic Disease Burden
healthier than 1%
21%
Disability
healthier than 14%
7%
Healthcare Access
healthier than 40%
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
14427
New Yorkshares a border
Score 51.96
Closest healthier
14481
New Yorkabout 3.3 mi away
Score 56.65
Similar health profile
54817
Wisconsin98% similar profile
Score 54.00
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% | 31.8–40.3 |
| High blood pressure among adults | 42.7% | 38.2–47.6 |
| Cancer (non-skin) or melanoma among adults | 13.4% | 11.9–15.0 |
| Current asthma among adults | 11.0% | 9.6–12.6 |
| Coronary heart disease among adults | 10.2% | 8.6–12.0 |
| Chronic obstructive pulmonary disease among adults | 9.9% | 7.7–12.3 |
| Depression among adults | 20.5% | 17.3–24.3 |
| Diagnosed diabetes among adults | 13.4% | 11.2–16.1 |
| High cholesterol among adults who have ever been screened | 43.4% | 39.0–48.5 |
| Obesity among adults | 33.8% | 26.3–42.5 |
| Stroke among adults | 4.8% | 4.0–5.7 |
| All teeth lost among adults aged >=65 years | 19.1% | 15.7–23.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.3% | 3.9–7.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 83.8% | 81.5–86.3 |
| Visits to doctor for routine checkup within the past year among adults | 84.6% | 81.8–87.2 |
| Cholesterol screening among adults | 91.1% | 89.6–92.8 |
| Colorectal cancer screening among adults aged 45–75 years | 77.6% | 73.2–81.6 |
| Visited dentist or dental clinic in the past year among adults | 62.0% | 58.3–65.5 |
| Mammography use among women aged 50-74 years | 77.0% | 69.6–83.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 13.6% | 11.2–16.5 |
| Current cigarette smoking among adults | 13.2% | 9.9–16.7 |
| No leisure-time physical activity among adults | 27.5% | 21.8–34.1 |
| Short sleep duration among adults | 35.3% | 28.8–42.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.3% | 15.5–24.0 |
| Frequent mental distress among adults | 15.1% | 13.0–17.4 |
| Frequent physical distress among adults | 15.3% | 12.8–18.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.4% | 10.2–14.8 |
| Any disability among adults | 32.8% | 27.4–39.1 |
| Hearing disability among adults | 9.7% | 8.2–11.3 |
| Independent living disability among adults | 8.9% | 7.2–10.8 |
| Mobility disability among adults | 17.6% | 14.2–21.5 |
| Self-care disability among adults | 4.2% | 3.4–5.2 |
| Vision disability among adults | 5.2% | 4.2–6.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.5% | 17.7–25.7 |
| Food insecurity in the past 12 months among adults | 11.7% | 9.0–15.2 |
| Received food stamps in the past 12 months among adults | 11.4% | 8.6–14.7 |
| Housing insecurity in the past 12 months among adults | 9.0% | 7.2–11.2 |
| Lack of reliable transportation in the past 12 months among adults | 6.5% | 5.4–7.9 |
| Loneliness among adults | 30.7% | 25.6–36.0 |
| Utility services shut-off threat in the past 12 months among adults | 5.6% | 4.6–6.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 50.9% | 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+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 24.5% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 44.4% | 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 | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 56.3% | 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 | 87.1% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 48.1% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 64.9 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 | 80.2 yr ± 1.45 | 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 1.45 years of 80.2, 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