ZIP code
12816
in Cambridge, New YorkPopulation 4,824
57.38/ 100
Ranked #6,910 of 32,066 US ZIPs (top 22%)
Ranked #826 of 1,730 New York ZIPs (top 48%)
Ranked #20 of 41 Glens Falls, NY ZIPs (top 49%)
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.
Grocery access
0.23 per 1,000 residents
in the top 5.8% nationally
Higher is healthier
ST92ndUS94thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Uninsured (under 65)
5.1%
in the bottom 6.9% nationally
Lower is healthier
ST30thUS7thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›High cholesterol
42.1%
in the top 15% nationally
Lower is healthier
ST91stUS85thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›The read
Cambridge, New York (ZIP 12816), by its composite score, sits in the top 22% healthiest ZIPs nationally (6,910th) and the top 48% of New York (826th), based on limited data; treat as directional.
The clearest bright points in the data come first here: grocery resides in the top 5.8% nationally. Modeled extreme heat is at the national minimum, shared with about 19% of ZIPs. Childcare lands in the top 12.7% nationally, modeled mammography stands in the top 14.9% nationally, and modeled uninsured registers in the bottom 6.9% nationally. Modeled obesity settles in the bottom 18% nationally, cognitive disability sits in the bottom 16% nationally, and tree cover lies in the top 18% nationally. Recreation rests in the top 18% nationally. By contrast, housing-cost burden resides in the top 17% nationally.
For anyone unfamiliar, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. For a healthier comparison close by, see ZIP 12834, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 61%
14%
Preventive Care
healthier than 91%
13%
Risk Behavior
healthier than 72%
11%
Mental Health
healthier than 83%
8%
Disability
healthier than 68%
7%
Climate / Disaster RiskPartial
healthier than 94%
5%
About typical
Chronic Disease Burden
healthier than 45%
21%
Social Need / SDOH
healthier than 49%
16%
Healthcare Access
healthier than 41%
5%
Nothing measured is holding this score back.
Lifting this score
Preventive Care
healthier than 66%
13%
Risk Behavior
healthier than 68%
11%
Climate / Disaster RiskPartial
healthier than 93%
5%
About typical
Social Need / SDOH
healthier than 43%
16%
Environmental Hazard
healthier than 55%
14%
Mental Health
healthier than 48%
8%
Holding it back
Chronic Disease Burden
healthier than 18%
21%
Disability
healthier than 38%
7%
Healthcare Access
healthier than 33%
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
05250
Vermontshares a border
Score 56.93
Closest healthier
12834
New Yorkshares a border
Score 61.45
Similar health profile
14731
New York99% similar profile
Score 59.08
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 | 32.2% | 29.2–35.3 |
| High blood pressure among adults | 37.3% | 33.8–40.9 |
| Cancer (non-skin) or melanoma among adults | 11.3% | 10.4–12.3 |
| Current asthma among adults | 10.9% | 9.8–12.0 |
| Coronary heart disease among adults | 7.7% | 6.9–8.5 |
| Chronic obstructive pulmonary disease among adults | 7.8% | 6.8–8.8 |
| Depression among adults | 19.7% | 17.1–22.5 |
| Diagnosed diabetes among adults | 11.3% | 9.9–12.8 |
| High cholesterol among adults who have ever been screened | 42.1% | 38.5–45.9 |
| Obesity among adults | 30.1% | 25.0–35.7 |
| Stroke among adults | 3.9% | 3.5–4.2 |
| All teeth lost among adults aged >=65 years | 13.2% | 10.9–15.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.1% | 4.3–6.0 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.6% | 78.2–82.7 |
| Visits to doctor for routine checkup within the past year among adults | 83.1% | 80.6–85.3 |
| Cholesterol screening among adults | 90.7% | 89.5–91.7 |
| Colorectal cancer screening among adults aged 45–75 years | 69.2% | 64.7–73.3 |
| Visited dentist or dental clinic in the past year among adults | 64.1% | 60.8–67.3 |
| Mammography use among women aged 50-74 years | 79.4% | 73.2–84.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.7% | 13.4–18.2 |
| Current cigarette smoking among adults | 12.8% | 10.9–14.8 |
| No leisure-time physical activity among adults | 24.8% | 21.2–28.6 |
| Short sleep duration among adults | 33.3% | 28.1–38.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.1% | 14.9–19.4 |
| Frequent mental distress among adults | 15.0% | 13.3–16.7 |
| Frequent physical distress among adults | 14.0% | 12.4–15.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.8% | 10.4–13.2 |
| Any disability among adults | 29.3% | 25.7–32.9 |
| Hearing disability among adults | 7.3% | 6.5–8.1 |
| Independent living disability among adults | 7.7% | 6.8–8.7 |
| Mobility disability among adults | 14.6% | 12.8–16.5 |
| Self-care disability among adults | 3.7% | 3.3–4.1 |
| Vision disability among adults | 4.5% | 4.0–5.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.7% | 18.5–25.1 |
| Food insecurity in the past 12 months among adults | 10.6% | 8.8–12.6 |
| Received food stamps in the past 12 months among adults | 9.8% | 8.1–11.7 |
| Housing insecurity in the past 12 months among adults | 9.2% | 7.8–10.7 |
| Lack of reliable transportation in the past 12 months among adults | 6.2% | 5.4–7.1 |
| Loneliness among adults | 29.9% | 25.4–34.6 |
| Utility services shut-off threat in the past 12 months among adults | 5.8% | 4.9–6.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 9.5% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 7.8% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 6.1% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 32.7% | 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 | 6.5% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 84.3% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 35.2% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 81.1% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 2.1% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 2.7% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 52.5% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 23.0% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 47.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $75,966 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $218,900 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,117 | $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 | 83.7 yr ± 1.61 | 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 1.61 years of 83.7, 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