ZIP code
13456
in Sauquoit, New YorkPopulation 3,848
60.32/ 100
Ranked #4,619 of 32,066 US ZIPs (top 14.5%)
Ranked #588 of 1,730 New York ZIPs (top 34%)
Ranked #5 of 64 Utica-Rome, NY ZIPs (top 7.9%)
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.
Lead in tap water
9.2 ppb
in the top 3.9% nationally
Lower is healthier
US96thDefinition & source ›
The lead level at the 90th percentile of tap-water samples reported by the public water systems serving this ZIP, in parts per billion — the EPA requires action above 15 ppb.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Fatal road crashes
2.6 per 100,000 residents per year
in the bottom 9.0% nationally
Lower is healthier
ST25thUS9thDefinition & 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
80.5%
in the top 8.7% nationally
Higher is healthier
ST79thUS91stDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Tooth loss
6.8%
in the bottom 7.4% nationally
Lower is healthier
ST10thUS7thDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Colon-cancer screening
72.3%
in the top 9.5% nationally
Higher is healthier
ST76thUS91stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Uninsured (under 65)
4.6%
in the bottom 4.4% nationally
Lower is healthier
ST18thUS4thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Industrial-pollution burden
in the top 18% nationally
Lower is healthier
ST96thUS82ndDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›The read
On balance, and by the composite measure, Sauquoit, New York (ZIP 13456) ranks in the top 14.5% healthiest ZIPs nationally (4,619th) and the top 34% of New York (588th), based on limited data; treat as directional.
A number of signals point in a favorable direction for this area: fatal road crashes sits in the bottom 9.0% nationally. Modeled extreme heat rests at the national minimum, shared with about 19% of ZIPs. Modeled mammography is in the top 8.7% nationally, tooth loss stands in the bottom 7.4% nationally, and colon screening settles in the top 9.5% nationally. Modeled cognitive disability lies in the bottom 10.8% nationally, fair or poor health resides in the bottom 11.5% nationally, and uninsured lands in the bottom 4.4% nationally. Working the other way, lead in tap water registers in the top 3.9% nationally, and lithium in drinking water sits in the top 16% nationally.
Compared with the ZIPs it borders, park land runs far higher than the surrounding ZIPs on this measure. In plainer terms, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Lithium in drinking water is a natural metal that dissolves into some groundwater and has no federal drinking-water limit yet. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. For a healthier nearby ZIP overall, look to ZIP 13319, just across the boundary.
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 70%
21%
Social Need / SDOH
healthier than 71%
16%
Preventive Care
healthier than 91%
13%
Mental Health
healthier than 78%
8%
Disability
healthier than 85%
7%
Climate / Disaster RiskPartial
healthier than 92%
5%
About typical
Environmental Hazard
healthier than 57%
14%
Risk Behavior
healthier than 50%
11%
Healthcare Access
healthier than 57%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 66%
16%
Preventive Care
healthier than 65%
13%
Disability
healthier than 65%
7%
Climate / Disaster RiskPartial
healthier than 87%
5%
About typical
Chronic Disease Burden
healthier than 49%
21%
Environmental Hazard
healthier than 50%
14%
Healthcare Access
healthier than 47%
5%
Holding it back
Risk Behavior
healthier than 38%
11%
Mental Health
healthier than 39%
8%
Lifting this score
Chronic Disease Burden
healthier than 88%
21%
Social Need / SDOH
healthier than 85%
16%
Risk Behavior
healthier than 67%
11%
Mental Health
healthier than 73%
8%
Disability
healthier than 90%
7%
Climate / Disaster RiskPartial
healthier than 94%
5%
Healthcare Access
healthier than 85%
5%
About typical
Preventive Care
healthier than 54%
13%
Holding it back
Environmental Hazard
healthier than 21%
14%
“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
13318
New Yorkshares a border
Score 47.67
Closest healthier
13319
New Yorkshares a border
Score 66.27
Similar health profile
12565
New York99% similar profile
Score 57.37
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 | 28.7% | 25.6–31.8 |
| High blood pressure among adults | 33.9% | 30.3–37.6 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.0–11.0 |
| Current asthma among adults | 10.7% | 9.5–11.9 |
| Coronary heart disease among adults | 6.2% | 5.5–7.0 |
| Chronic obstructive pulmonary disease among adults | 6.5% | 5.5–7.6 |
| Depression among adults | 20.3% | 17.5–23.4 |
| Diagnosed diabetes among adults | 9.6% | 8.2–11.0 |
| High cholesterol among adults who have ever been screened | 37.6% | 34.0–41.5 |
| Obesity among adults | 33.9% | 28.3–39.8 |
| Stroke among adults | 3.1% | 2.7–3.5 |
| All teeth lost among adults aged >=65 years | 6.8% | 5.6–8.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.6% | 3.6–5.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 77.9% | 75.1–80.7 |
| Visits to doctor for routine checkup within the past year among adults | 80.6% | 77.7–83.4 |
| Cholesterol screening among adults | 90.2% | 88.7–91.7 |
| Colorectal cancer screening among adults aged 45–75 years | 72.3% | 68.5–75.9 |
| Visited dentist or dental clinic in the past year among adults | 66.2% | 63.2–69.1 |
| Mammography use among women aged 50-74 years | 80.5% | 75.0–85.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.6% | 15.9–21.8 |
| Current cigarette smoking among adults | 12.0% | 9.8–14.5 |
| No leisure-time physical activity among adults | 22.9% | 19.1–27.0 |
| Short sleep duration among adults | 37.1% | 32.4–42.0 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.5% | 12.3–17.0 |
| Frequent mental distress among adults | 15.5% | 13.6–17.5 |
| Frequent physical distress among adults | 12.4% | 10.8–14.1 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.1% | 9.5–12.9 |
| Any disability among adults | 25.1% | 21.6–28.8 |
| Hearing disability among adults | 6.0% | 5.3–6.7 |
| Independent living disability among adults | 6.7% | 5.7–7.7 |
| Mobility disability among adults | 11.7% | 9.8–13.6 |
| Self-care disability among adults | 3.0% | 2.6–3.5 |
| Vision disability among adults | 3.7% | 3.2–4.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.2% | 18.1–24.8 |
| Food insecurity in the past 12 months among adults | 9.6% | 7.6–12.0 |
| Received food stamps in the past 12 months among adults | 8.5% | 6.6–10.6 |
| Housing insecurity in the past 12 months among adults | 9.0% | 7.3–10.9 |
| Lack of reliable transportation in the past 12 months among adults | 5.8% | 4.9–6.8 |
| Loneliness among adults | 30.7% | 26.5–35.3 |
| Utility services shut-off threat in the past 12 months among adults | 5.4% | 4.4–6.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.3% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 1.9% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 2.8% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 36.0% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 1.9% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 2.5% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 93.1% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 20.6% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 84.9% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 1.9% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 6.0% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 54.0% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 17.8% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 37.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $93,510 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $259,800 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $795 | $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 | 81.7 yr ± 0.71 | 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 0.71 years of 81.7, 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