ZIP code
14853
in Ithaca, New YorkPopulation 2,405
49.45/ 100
Ranked #17,005 of 32,066 US ZIPs (bottom 47%)
Ranked #1,476 of 1,730 New York ZIPs (bottom 14.7%)
Ranked #12 of 12 Ithaca, NY ZIPs (bottom 8.4%)
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.
High cholesterol
13.4%
in the bottom 0.4% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Colon-cancer screening
42.8%
in the bottom 0.5% nationally
Higher is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›High blood pressure
13.4%
in the bottom 0.6% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Diabetes
2.4%
in the bottom 0.6% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›Coronary heart disease
1.4%
in the bottom 0.8% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›Stroke
0.80%
in the bottom 0.7% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults who have been told by a health professional that they have had a stroke.
Full methodology ›Cognitive disability
24.4%
in the top 1.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Loneliness
45.5%
in the top 0.6% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Mobility disability
4.6%
in the bottom 0.8% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The estimated share of adults with serious difficulty walking or climbing stairs.
Full methodology ›Binge drinking
22.3%
in the top 1.6% nationally
Lower is healthier
ST97thUS98thDefinition & source ›
The estimated share of adults who report binge drinking — five or more drinks on one occasion for men, four or more for women.
Full methodology ›The read
By its overall health score, ZIP 14853, one of several in Ithaca, New York lands in the bottom 47% nationally (17,005th) and the bottom 14.7% of New York (1,476th).
The measures that press hardest set the tone here: modeled colon screening settles in the bottom 0.5% nationally, and cognitive disability lies in the top 1.4% nationally. Modeled loneliness resides in the top 0.6% nationally, and binge drinking lands in the top 1.6% nationally. Slow internet speeds registers in the top 1.0% nationally. On the stronger side, modeled high blood pressure sits in the bottom 0.6% nationally, diabetes rests in the bottom 0.6% nationally, and coronary heart disease is in the bottom 0.8% nationally. Modeled stroke stands in the bottom 0.7% nationally, and mobility disability settles in the bottom 0.8% nationally.
Weighed against the ZIPs nearby, slow internet speeds runs far higher than the surrounding ZIPs on this measure. Overall, the nearest healthier neighbor is ZIP 14850, 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 Ithaca, 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 99%
21%
Environmental Hazard
healthier than 77%
14%
Climate / Disaster Risk
healthier than 81%
5%
About typical
Disability
healthier than 56%
7%
Holding it back
Social Need / SDOH
healthier than 12%
16%
Preventive Care
healthier than 1%
13%
Risk Behavior
healthier than 32%
11%
Mental Health
healthier than 2%
8%
Healthcare Access
healthier than 12%
5%
Lifting this score
Chronic Disease Burden
healthier than 98%
21%
Environmental Hazard
healthier than 82%
14%
About typical
Climate / Disaster Risk
healthier than 53%
5%
Holding it back
Social Need / SDOH
healthier than 10%
16%
Preventive Care
in the bottom 0.10%
13%
Risk Behavior
healthier than 22%
11%
Mental Health
in the bottom 0.10%
8%
Disability
healthier than 25%
7%
Healthcare Access
healthier than 12%
5%
Lifting this score
Chronic Disease Burden
in the top 0.00%
21%
Environmental Hazard
in the top 0.00%
14%
Holding it back
Social Need / SDOH
in the bottom 0.00%
16%
Preventive Care
in the bottom 0.00%
13%
Risk Behavior
in the bottom 0.00%
11%
Mental Health
in the bottom 0.00%
8%
Disability
in the bottom 0.00%
7%
Climate / Disaster Risk
healthier than 30%
5%
Healthcare Access
healthier than 10%
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
14850
New Yorkshares a border
Score 65.39
Closest healthier
13068
New Yorkabout 3.0 mi away
Score 58.49
Similar health profile
80840
Colorado98% similar profile
Score 47.09
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 | 5.4% | 4.5–6.3 |
| High blood pressure among adults | 13.4% | 11.2–15.8 |
| Cancer (non-skin) or melanoma among adults | 0.9% | 0.7–1.0 |
| Current asthma among adults | 11.3% | 9.9–12.8 |
| Coronary heart disease among adults | 1.4% | 1.1–1.6 |
| Chronic obstructive pulmonary disease among adults | 2.9% | 2.1–3.4 |
| Depression among adults | 27.8% | 23.8–31.7 |
| Diagnosed diabetes among adults | 2.4% | 2.0–2.8 |
| High cholesterol among adults who have ever been screened | 13.4% | 11.4–15.6 |
| Obesity among adults | 24.7% | 19.8–29.9 |
| Stroke among adults | 0.8% | 0.6–0.9 |
| All teeth lost among adults aged >=65 years | 24.9% | 20.3–30.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 9.3% | 7.4–11.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 21.0% | 18.2–24.3 |
| Visits to doctor for routine checkup within the past year among adults | 66.6% | 62.3–71.0 |
| Cholesterol screening among adults | 62.3% | 57.8–66.8 |
| Colorectal cancer screening among adults aged 45–75 years | 42.8% | 37.4–48.4 |
| Visited dentist or dental clinic in the past year among adults | 48.4% | 44.5–52.3 |
| Mammography use among women aged 50-74 years | 72.8% | 63.1–80.6 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 22.3% | 18.9–26.1 |
| Current cigarette smoking among adults | 9.7% | 6.4–11.6 |
| No leisure-time physical activity among adults | 22.1% | 17.5–26.3 |
| Short sleep duration among adults | 38.5% | 33.2–44.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 18.9% | 15.0–21.8 |
| Frequent mental distress among adults | 26.8% | 22.1–29.9 |
| Frequent physical distress among adults | 10.6% | 8.5–12.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 24.4% | 19.3–27.5 |
| Any disability among adults | 33.9% | 27.6–38.7 |
| Hearing disability among adults | 3.1% | 2.5–3.6 |
| Independent living disability among adults | 12.6% | 9.9–14.3 |
| Mobility disability among adults | 4.6% | 3.6–5.3 |
| Self-care disability among adults | 2.3% | 1.8–2.7 |
| Vision disability among adults | 6.4% | 5.3–7.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 28.1% | 23.6–32.4 |
| Food insecurity in the past 12 months among adults | 29.6% | 23.5–34.0 |
| Received food stamps in the past 12 months among adults | 25.2% | 19.6–29.3 |
| Housing insecurity in the past 12 months among adults | 18.9% | 15.1–21.9 |
| Lack of reliable transportation in the past 12 months among adults | 20.7% | 16.9–23.4 |
| Loneliness among adults | 45.5% | 39.6–50.9 |
| Utility services shut-off threat in the past 12 months among adults | 12.5% | 10.0–14.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | — | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 12.8% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 75.7% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 3.5% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | — | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | — | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | — | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | — | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | — | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 21.2% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | — | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 0.0% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 19.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | — | $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 | — | $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