ZIP code
13319
in Chadwicks, New YorkPopulation 344
66.27/ 100
Ranked #1,528 of 32,066 US ZIPs (top 4.8%)
Ranked #222 of 1,730 New York ZIPs (top 12.9%)
Ranked #1 of 64 Utica-Rome, NY ZIPs (top 1.6%)
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
12 ppb
in the top 1.6% nationally
Lower is healthier
US98thDefinition & 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 ›Housing-cost burden
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Cognitive disability
9.3%
in the bottom 2.8% nationally
Lower is healthier
ST10thUS3rdDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Lack of transportation
4.7%
in the bottom 5.1% nationally
Lower is healthier
ST8thUS5thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Natural-disaster risk
in the bottom 5.3% nationally
Lower is healthier
ST9thUS5thDefinition & 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 ›Food insecurity
7.5%
in the bottom 5.4% nationally
Lower is healthier
ST7thUS5thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Mammography
82.4%
in the top 3.3% nationally
Higher is healthier
ST94thUS97thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Utility shut-off threat
4.4%
in the bottom 6.6% nationally
Lower is healthier
ST10thUS7thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Fair or poor health
12.1%
in the bottom 3.6% nationally
Lower is healthier
ST8thUS4thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›The read
By the composite health measure, Chadwicks, New York (ZIP 13319) ranks in the top 4.8% healthiest ZIPs nationally (1,528th) and the top 12.9% of New York (222nd).
The signals balance out across the profile, strengths against concerns: housing-cost burden lies at the national minimum, and poverty lands at the national minimum. Modeled cognitive disability sits in the bottom 2.8% nationally, and transportation is in the bottom 5.1% nationally. Modeled disaster risk settles in the bottom 5.3% nationally, food insecurity resides in the bottom 5.4% nationally, and mammography registers in the top 3.3% nationally. Modeled utility shutoff rests in the bottom 6.6% nationally, and fair or poor health stands in the bottom 3.6% nationally. Set against that, lead in tap water lies in the top 1.6% nationally.
Read against the ZIPs closest to it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. To spell things out, lead in tap water is the EPA trigger, 15 parts per billion in tap samples, above which a water system must act on lead. Disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. This ZIP stands out as the strongest overall among its immediate neighbors.
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 80%
21%
Social Need / SDOH
healthier than 85%
16%
Environmental Hazard
healthier than 76%
14%
Preventive Care
healthier than 97%
13%
Risk Behavior
healthier than 78%
11%
Mental Health
healthier than 89%
8%
Disability
healthier than 96%
7%
Climate / Disaster Risk
healthier than 68%
5%
About typical
Healthcare Access
healthier than 52%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 65%
21%
Social Need / SDOH
healthier than 81%
16%
Environmental Hazard
healthier than 81%
14%
Preventive Care
healthier than 88%
13%
Risk Behavior
healthier than 76%
11%
Mental Health
healthier than 61%
8%
Disability
healthier than 89%
7%
About typical
Healthcare Access
healthier than 41%
5%
Holding it back
Climate / Disaster Risk
healthier than 31%
5%
Lifting this score
Chronic Disease Burden
healthier than 94%
21%
Social Need / SDOH
healthier than 97%
16%
Environmental Hazard
healthier than 61%
14%
Preventive Care
healthier than 94%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
healthier than 94%
8%
Disability
in the top 0.00%
7%
Healthcare Access
healthier than 82%
5%
About typical
Climate / Disaster Risk
healthier than 45%
5%
Nothing measured is holding this score back.
“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
13413
New Yorkshares a border
Score 64.93
Similar health profile
12009
New York100% similar profile
Score 66.29
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 | 27.2% | 24.0–30.4 |
| High blood pressure among adults | 32.3% | 28.7–36.2 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 9.0–11.1 |
| Current asthma among adults | 10.3% | 9.1–11.6 |
| Coronary heart disease among adults | 5.4% | 4.7–6.1 |
| Chronic obstructive pulmonary disease among adults | 5.2% | 4.3–6.2 |
| Depression among adults | 19.3% | 16.4–22.5 |
| Diagnosed diabetes among adults | 8.8% | 7.5–10.2 |
| High cholesterol among adults who have ever been screened | 37.8% | 33.8–41.9 |
| Obesity among adults | 32.4% | 26.7–38.6 |
| Stroke among adults | 2.6% | 2.3–3.0 |
| All teeth lost among adults aged >=65 years | 5.7% | 4.6–7.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.9% | 3.0–4.9 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.0% | 74.9–81.0 |
| Visits to doctor for routine checkup within the past year among adults | 81.6% | 78.6–84.5 |
| Cholesterol screening among adults | 91.7% | 90.3–93.0 |
| Colorectal cancer screening among adults aged 45–75 years | 72.7% | 68.9–76.4 |
| Visited dentist or dental clinic in the past year among adults | 74.3% | 71.6–76.9 |
| Mammography use among women aged 50-74 years | 82.4% | 77.0–87.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.7% | 15.7–22.1 |
| Current cigarette smoking among adults | 9.4% | 7.3–11.6 |
| No leisure-time physical activity among adults | 19.4% | 15.9–23.2 |
| Short sleep duration among adults | 33.5% | 28.8–38.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 12.1% | 10.0–14.3 |
| Frequent mental distress among adults | 13.8% | 11.9–15.7 |
| Frequent physical distress among adults | 10.8% | 9.2–12.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.3% | 7.9–10.9 |
| Any disability among adults | 21.3% | 17.8–24.8 |
| Hearing disability among adults | 5.1% | 4.4–5.8 |
| Independent living disability among adults | 5.4% | 4.5–6.3 |
| Mobility disability among adults | 9.6% | 7.9–11.3 |
| Self-care disability among adults | 2.5% | 2.1–2.9 |
| Vision disability among adults | 3.0% | 2.6–3.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.2% | 16.1–22.7 |
| Food insecurity in the past 12 months among adults | 7.5% | 5.8–9.6 |
| Received food stamps in the past 12 months among adults | 6.1% | 4.6–7.9 |
| Housing insecurity in the past 12 months among adults | 7.5% | 5.9–9.1 |
| Lack of reliable transportation in the past 12 months among adults | 4.7% | 3.9–5.7 |
| Loneliness among adults | 28.9% | 24.6–33.5 |
| Utility services shut-off threat in the past 12 months among adults | 4.4% | 3.6–5.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 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+) | 12.5% | 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+) | 0.0% | 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 | 89.3% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 0.0% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 66.3% | 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 | 100.0% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 9.3% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 52.3 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $73,571 | $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 | $680 | $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 | 85.9 yr ± 1.63 | 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 1.63 years of 85.9, 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