ZIP code
13461
in Sherrill, New YorkPopulation 3,047
62.38/ 100
Ranked #3,310 of 32,066 US ZIPs (top 10.4%)
Ranked #430 of 1,730 New York ZIPs (top 25%)
Ranked #4 of 64 Utica-Rome, NY ZIPs (top 6.3%)
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.
Fatal road crashes
0 per 100,000 residents per year
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Mammography
82.9%
in the top 2.5% nationally
Higher is healthier
ST97thUS98thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Colon-cancer screening
75.3%
in the top 2.6% nationally
Higher is healthier
ST94thUS97thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Dental provider access
0.96 per 1,000 residents
in the top 7.3% nationally
Higher is healthier
ST92ndUS93rdDefinition & source ›
The number of dental offices 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 ›Cognitive disability
10.1%
in the bottom 5.4% nationally
Lower is healthier
ST18thUS5thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Food insecurity
8.2%
in the bottom 8.3% nationally
Lower is healthier
ST11thUS8thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Utility shut-off threat
4.7%
in the bottom 9.7% nationally
Lower is healthier
ST14thUS10thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Lack of transportation
5.2%
in the bottom 9.9% nationally
Lower is healthier
ST14thUS10thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Fair or poor health
13.7%
in the bottom 8.3% nationally
Lower is healthier
ST17thUS8thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Distance to a community health center
16.3 mi
in the top 10.9% nationally
Lower is healthier
ST93rdUS89thDefinition & 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 ›The read
In its overall standing, Sherrill, New York (ZIP 13461) lands in the top 10.4% healthiest ZIPs nationally (3,310th) and the top 25% of New York (430th).
Taken together, the data gives a genuinely mixed reading: fatal road crashes sits at the national minimum, modeled mammography lands in the top 2.5% nationally, and modeled colon screening lies in the top 2.6% nationally. Dental providers stands in the top 7.3% nationally, modeled cognitive disability rests in the bottom 5.4% nationally, and modeled food insecurity registers in the bottom 8.3% nationally. Modeled extreme heat resides at the national minimum, shared with about 19% of ZIPs. Modeled utility shutoff settles in the bottom 9.7% nationally, and transportation is in the bottom 9.9% nationally. On the other side, fiber broadband sits at the national minimum, shared with about 19% of ZIPs.
Against the wider neighborhood, park land runs far higher than the surrounding ZIPs on this measure. Put simply, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. On the overall standing, ZIP 13323, about 6.1 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. 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
Chronic Disease Burden
healthier than 65%
21%
Social Need / SDOH
healthier than 75%
16%
Environmental Hazard
healthier than 85%
14%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 72%
11%
Mental Health
healthier than 87%
8%
Disability
healthier than 87%
7%
About typical
Climate / Disaster Risk
healthier than 56%
5%
Holding it back
Healthcare Access
healthier than 13%
5%
Lifting this score
Social Need / SDOH
healthier than 70%
16%
Environmental Hazard
healthier than 92%
14%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 67%
11%
Disability
healthier than 69%
7%
About typical
Chronic Disease Burden
healthier than 43%
21%
Mental Health
healthier than 55%
8%
Holding it back
Climate / Disaster Risk
healthier than 21%
5%
Healthcare Access
healthier than 13%
5%
Lifting this score
Chronic Disease Burden
healthier than 79%
21%
Social Need / SDOH
healthier than 91%
16%
Environmental Hazard
healthier than 79%
14%
Preventive Care
in the top 0.00%
13%
Risk Behavior
healthier than 94%
11%
Mental Health
healthier than 91%
8%
Disability
healthier than 94%
7%
Holding it back
Climate / Disaster Risk
healthier than 21%
5%
Healthcare Access
healthier than 39%
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
13421
New Yorkshares a border
Score 52.92
Closest healthier
13323
New Yorkabout 6.1 mi away
Score 63.44
Similar health profile
14511
New York99% similar profile
Score 60.82
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 | 30.3% | 27.0–33.8 |
| High blood pressure among adults | 35.3% | 31.6–39.3 |
| Cancer (non-skin) or melanoma among adults | 11.2% | 10.0–12.4 |
| Current asthma among adults | 10.5% | 9.3–11.9 |
| Coronary heart disease among adults | 6.6% | 5.7–7.6 |
| Chronic obstructive pulmonary disease among adults | 6.4% | 5.1–7.9 |
| Depression among adults | 19.5% | 16.7–22.7 |
| Diagnosed diabetes among adults | 9.8% | 8.3–11.5 |
| High cholesterol among adults who have ever been screened | 39.1% | 35.2–43.2 |
| Obesity among adults | 32.7% | 27.1–38.8 |
| Stroke among adults | 3.2% | 2.8–3.8 |
| All teeth lost among adults aged >=65 years | 6.5% | 5.3–8.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.0% | 3.0–5.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.8% | 76.9–82.5 |
| Visits to doctor for routine checkup within the past year among adults | 82.1% | 79.1–84.9 |
| Cholesterol screening among adults | 91.7% | 90.1–93.0 |
| Colorectal cancer screening among adults aged 45–75 years | 75.3% | 71.6–78.8 |
| Visited dentist or dental clinic in the past year among adults | 71.1% | 68.1–73.9 |
| Mammography use among women aged 50-74 years | 82.9% | 77.4–87.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.5% | 14.7–20.7 |
| Current cigarette smoking among adults | 10.5% | 8.1–13.2 |
| No leisure-time physical activity among adults | 21.8% | 17.8–26.6 |
| Short sleep duration among adults | 34.9% | 30.2–40.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.7% | 11.3–16.6 |
| Frequent mental distress among adults | 14.2% | 12.3–16.4 |
| Frequent physical distress among adults | 12.0% | 10.2–14.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.1% | 8.5–11.9 |
| Any disability among adults | 24.8% | 21.0–29.1 |
| Hearing disability among adults | 6.4% | 5.5–7.3 |
| Independent living disability among adults | 6.3% | 5.3–7.5 |
| Mobility disability among adults | 11.8% | 9.6–14.5 |
| Self-care disability among adults | 2.9% | 2.4–3.5 |
| Vision disability among adults | 3.5% | 3.0–4.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.1% | 16.9–23.8 |
| Food insecurity in the past 12 months among adults | 8.2% | 6.1–10.5 |
| Received food stamps in the past 12 months among adults | 7.0% | 5.2–9.2 |
| Housing insecurity in the past 12 months among adults | 7.8% | 6.2–9.6 |
| Lack of reliable transportation in the past 12 months among adults | 5.2% | 4.2–6.2 |
| Loneliness among adults | 29.7% | 25.3–34.4 |
| Utility services shut-off threat in the past 12 months among adults | 4.7% | 3.8–5.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.8% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 2.2% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 4.6% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 41.2% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 2.0% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 5.8% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 94.4% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 16.5% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 72.9% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 0.2% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 2.2% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 54.6% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 27.0% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 46.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $88,750 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $226,900 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,122 | $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 unavailable for this ZIP — fewer than 80% of the census tracts that make it up could be matched across the 2010→2020 tract-boundary revision, so no value is published rather than an unreliable one. See how coverage gaps are handled. | |||
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