ZIP code
13035
in Cazenovia, New YorkPopulation 8,428
62.95/ 100
Ranked #2,997 of 32,066 US ZIPs (top 9.4%)
Ranked #393 of 1,730 New York ZIPs (top 23%)
Ranked #12 of 87 Syracuse, NY ZIPs (top 13.8%)
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.
Colon-cancer screening
74.2%
in the top 4.4% nationally
Higher is healthier
ST90thUS96thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Fatal road crashes
2.4 per 100,000 residents per year
in the bottom 8.2% nationally
Lower is healthier
ST22ndUS8thDefinition & 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 ›Mental-health provider access
0.12 per 1,000 residents
in the top 8.7% nationally
Higher is healthier
ST93rdUS91stDefinition & source ›
The number of mental-health clinics 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 ›Food insecurity
8.4%
in the bottom 9.2% nationally
Lower is healthier
ST12thUS9thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Recreation access
0.97 per 1,000 residents
in the top 9.4% nationally
Higher is healthier
ST87thUS91stDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Fair or poor health
13.3%
in the bottom 6.9% nationally
Lower is healthier
ST14thUS7thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›Cognitive disability
10.7%
in the bottom 8.4% nationally
Lower is healthier
ST24thUS8thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Uninsured (under 65)
3.9%
in the bottom 2.1% nationally
Lower is healthier
ST8thUS2ndDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Slow internet speeds
0.96%
in the top 11.7% nationally
Lower is healthier
ST94thUS88thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›The read
Overall, Cazenovia, New York (ZIP 13035) lands in the top 9.4% healthiest ZIPs nationally (2,997th) and the top 23% of New York (393rd), based on limited data; treat as directional.
The measures that set this area apart are worth putting up front: modeled colon screening lies in the top 4.4% nationally, and fatal road crashes lands in the bottom 8.2% nationally. Mental-health providers sits in the top 8.7% nationally, and modeled food insecurity is in the bottom 9.2% nationally. Recreation settles in the top 9.4% nationally. Modeled extreme heat resides at the national minimum, shared with about 19% of ZIPs. Modeled fair or poor health registers in the bottom 6.9% nationally, cognitive disability rests in the bottom 8.4% nationally, and utility shutoff stands in the bottom 10.9% nationally. Modeled uninsured lies in the bottom 2.1% nationally.
A note on the terms: extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. For a healthier nearby comparison, ZIP 13104, just across the boundary, ranks better overall.
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
Chronic Disease Burden
healthier than 69%
21%
Social Need / SDOH
healthier than 82%
16%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 81%
11%
Mental Health
healthier than 82%
8%
Disability
healthier than 88%
7%
Climate / Disaster RiskPartial
healthier than 94%
5%
About typical
Environmental Hazard
healthier than 53%
14%
Holding it back
Healthcare Access
healthier than 35%
5%
Lifting this score
Social Need / SDOH
healthier than 78%
16%
Preventive Care
healthier than 84%
13%
Risk Behavior
healthier than 80%
11%
Disability
healthier than 72%
7%
Climate / Disaster RiskPartial
healthier than 92%
5%
About typical
Chronic Disease Burden
healthier than 48%
21%
Environmental Hazard
healthier than 44%
14%
Mental Health
healthier than 46%
8%
Holding it back
Healthcare Access
healthier than 29%
5%
Lifting this score
Chronic Disease Burden
healthier than 75%
21%
Social Need / SDOH
healthier than 82%
16%
Preventive Care
healthier than 76%
13%
Risk Behavior
healthier than 83%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 83%
7%
Climate / Disaster RiskPartial
healthier than 98%
5%
Holding it back
Environmental Hazard
healthier than 39%
14%
Healthcare Access
healthier than 35%
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
13032
New Yorkshares a border
Score 54.47
Closest healthier
13104
New Yorkshares a border
Score 68.56
Similar health profile
06282
Connecticut99% similar profile
Score 63.60
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 | 28.3% | 25.3–31.5 |
| High blood pressure among adults | 32.6% | 29.0–36.4 |
| Cancer (non-skin) or melanoma among adults | 10.5% | 9.6–11.5 |
| Current asthma among adults | 10.8% | 9.6–12.1 |
| Coronary heart disease among adults | 6.0% | 5.4–6.7 |
| Chronic obstructive pulmonary disease among adults | 5.9% | 5.2–6.7 |
| Depression among adults | 20.4% | 17.6–23.6 |
| Diagnosed diabetes among adults | 9.3% | 8.1–10.7 |
| High cholesterol among adults who have ever been screened | 38.4% | 34.6–42.6 |
| Obesity among adults | 34.1% | 28.0–41.1 |
| Stroke among adults | 3.0% | 2.7–3.3 |
| All teeth lost among adults aged >=65 years | 11.2% | 9.1–13.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.9% | 3.3–4.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.4% | 76.6–82.0 |
| Visits to doctor for routine checkup within the past year among adults | 82.6% | 79.7–85.2 |
| Cholesterol screening among adults | 90.9% | 89.6–92.2 |
| Colorectal cancer screening among adults aged 45–75 years | 74.2% | 69.8–78.2 |
| Visited dentist or dental clinic in the past year among adults | 69.8% | 66.6–72.8 |
| Mammography use among women aged 50-74 years | 79.2% | 72.5–85.0 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.9% | 14.1–19.9 |
| Current cigarette smoking among adults | 9.7% | 8.2–11.4 |
| No leisure-time physical activity among adults | 19.0% | 15.9–22.6 |
| Short sleep duration among adults | 35.1% | 29.3–41.5 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.3% | 11.5–15.4 |
| Frequent mental distress among adults | 14.7% | 13.0–16.5 |
| Frequent physical distress among adults | 11.7% | 10.4–13.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 10.7% | 9.3–12.2 |
| Any disability among adults | 24.6% | 21.2–28.2 |
| Hearing disability among adults | 6.0% | 5.3–6.7 |
| Independent living disability among adults | 6.4% | 5.6–7.2 |
| Mobility disability among adults | 11.1% | 9.7–12.8 |
| Self-care disability among adults | 2.8% | 2.5–3.2 |
| Vision disability among adults | 3.5% | 3.1–3.9 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.3% | 17.2–23.6 |
| Food insecurity in the past 12 months among adults | 8.4% | 7.0–10.1 |
| Received food stamps in the past 12 months among adults | 6.9% | 5.8–8.3 |
| Housing insecurity in the past 12 months among adults | 7.9% | 6.7–9.2 |
| Lack of reliable transportation in the past 12 months among adults | 5.4% | 4.6–6.2 |
| Loneliness among adults | 30.4% | 25.7–35.3 |
| Utility services shut-off threat in the past 12 months among adults | 4.8% | 4.1–5.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 5.0% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 5.9% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 4.1% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 54.5% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 4.4% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 3.6% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 94.0% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 20.1% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 83.7% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 1.0% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 3.7% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 60.3% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 21.6% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 45.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $109,394 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $296,700 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,244 | $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 | 81.6 yr ± 0.72 | 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 0.72 years of 81.6, 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