ZIP code
13060
in Elbridge, New YorkPopulation 2,725
55.71/ 100
Ranked #8,615 of 32,066 US ZIPs (top 27%)
Ranked #969 of 1,730 New York ZIPs (bottom 44%)
Ranked #40 of 87 Syracuse, NY ZIPs (top 46%)
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.
Grocery access
0.39 per 1,000 residents
in the top 2.5% nationally
Higher is healthier
ST97thUS98thDefinition & 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 ›Loud transportation noise
1.8%
in the top 8.7% nationally
Lower is healthier
ST90thUS91stDefinition & 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 ›Pharmacy access
0.39 per 1,000 residents
in the top 8.8% nationally
Higher is healthier
ST89thUS91stDefinition & source ›
The number of pharmacies 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 ›PFAS in drinking water
55.9%
in the top 9.9% nationally
Lower is healthier
ST85thUS90thDefinition & 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 ›Housing-cost burden
11.5%
in the bottom 11.6% nationally
Lower is healthier
ST7thUS12thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Uninsured (under 65)
5.3%
in the bottom 8.3% nationally
Lower is healthier
ST36thUS8thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›The read
In its overall standing, Elbridge, New York (ZIP 13060) lands in the top 27% healthiest ZIPs nationally (8,615th) and the bottom 44% of New York (969th).
This area's measures are easy to read as a mixed set: grocery rests in the top 2.5% nationally, and pharmacy registers in the top 8.8% nationally. Modeled extreme heat resides at the national minimum, shared with about 19% of ZIPs. Modeled disaster risk settles in the bottom 10.8% nationally, and housing-cost burden is in the bottom 11.6% nationally. Home broadband subscription sits in the top 12.0% nationally, and modeled colon screening lands in the top 11.5% nationally. Set against that, modeled loud transportation noise lies in the top 8.7% nationally, and pfas stands in the top 9.9% nationally. Lead in tap water rests in the top 12.2% nationally.
Put simply, 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. Lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. On the overall standing, ZIP 13031, just across the boundary, 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. Compare it against the US, this state and the Syracuse, 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 65%
16%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 66%
11%
Mental Health
healthier than 61%
8%
Disability
healthier than 68%
7%
Climate / Disaster Risk
healthier than 80%
5%
About typical
Chronic Disease Burden
healthier than 43%
21%
Environmental Hazard
healthier than 50%
14%
Holding it back
Healthcare Access
healthier than 31%
5%
Lifting this score
Social Need / SDOH
healthier than 60%
16%
Preventive Care
healthier than 68%
13%
About typical
Environmental Hazard
healthier than 41%
14%
Risk Behavior
healthier than 58%
11%
Climate / Disaster Risk
healthier than 50%
5%
Holding it back
Chronic Disease Burden
healthier than 17%
21%
Mental Health
healthier than 19%
8%
Disability
healthier than 38%
7%
Healthcare Access
healthier than 26%
5%
Lifting this score
Mental Health
healthier than 60%
8%
Climate / Disaster Risk
healthier than 68%
5%
About typical
Social Need / SDOH
healthier than 57%
16%
Preventive Care
healthier than 55%
13%
Risk Behavior
healthier than 53%
11%
Disability
healthier than 43%
7%
Holding it back
Chronic Disease Burden
healthier than 27%
21%
Environmental Hazard
healthier than 35%
14%
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
13021
New Yorkshares a border
Score 51.57
Closest healthier
13031
New Yorkshares a border
Score 63.27
Similar health profile
01229
Massachusetts98% similar profile
Score 60.31
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 | 30.4% | 27.6–33.3 |
| High blood pressure among adults | 38.1% | 34.8–41.4 |
| Cancer (non-skin) or melanoma among adults | 10.8% | 9.8–11.8 |
| Current asthma among adults | 11.2% | 10.0–12.5 |
| Coronary heart disease among adults | 7.5% | 6.6–8.4 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.6–9.0 |
| Depression among adults | 22.4% | 19.6–25.3 |
| Diagnosed diabetes among adults | 11.4% | 9.9–13.0 |
| High cholesterol among adults who have ever been screened | 38.4% | 34.9–41.9 |
| Obesity among adults | 37.0% | 32.4–41.9 |
| Stroke among adults | 3.7% | 3.3–4.1 |
| All teeth lost among adults aged >=65 years | 15.2% | 12.5–18.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.3% | 4.2–6.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.9% | 77.2–82.4 |
| Visits to doctor for routine checkup within the past year among adults | 82.5% | 79.9–85.0 |
| Cholesterol screening among adults | 90.2% | 88.9–91.6 |
| Colorectal cancer screening among adults aged 45–75 years | 71.8% | 67.8–75.4 |
| Visited dentist or dental clinic in the past year among adults | 66.3% | 63.3–69.2 |
| Mammography use among women aged 50-74 years | 78.9% | 72.7–84.1 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.5% | 14.2–19.2 |
| Current cigarette smoking among adults | 12.9% | 10.7–15.3 |
| No leisure-time physical activity among adults | 23.3% | 19.7–27.1 |
| Short sleep duration among adults | 35.2% | 30.9–39.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.8% | 14.3–19.5 |
| Frequent mental distress among adults | 16.0% | 14.2–18.0 |
| Frequent physical distress among adults | 14.2% | 12.4–16.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.3% | 10.7–14.0 |
| Any disability among adults | 28.9% | 25.2–32.6 |
| Hearing disability among adults | 6.9% | 6.0–7.8 |
| Independent living disability among adults | 7.9% | 6.9–9.1 |
| Mobility disability among adults | 14.5% | 12.3–16.6 |
| Self-care disability among adults | 3.8% | 3.3–4.3 |
| 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 | 22.5% | 19.3–25.9 |
| Food insecurity in the past 12 months among adults | 11.3% | 9.2–13.5 |
| Received food stamps in the past 12 months among adults | 10.2% | 8.3–12.4 |
| Housing insecurity in the past 12 months among adults | 10.1% | 8.4–11.8 |
| Lack of reliable transportation in the past 12 months among adults | 6.5% | 5.6–7.5 |
| Loneliness among adults | 31.4% | 27.3–35.8 |
| Utility services shut-off threat in the past 12 months among adults | 6.1% | 5.2–7.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.0% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 2.8% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 8.8% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 17.8% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 2.5% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 1.9% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 96.6% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 11.5% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 88.0% | 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 | 1.2% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 52.9% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 19.6% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 42.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $64,448 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $123,100 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $921 | $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 | 82.3 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 82.3, 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