ZIP code
12845
in Lake George, New YorkPopulation 4,370
60.70/ 100
Ranked #4,325 of 32,066 US ZIPs (top 13.5%)
Ranked #555 of 1,730 New York ZIPs (top 32%)
Ranked #10 of 41 Glens Falls, NY ZIPs (top 24%)
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.
Recreation access
1.6 per 1,000 residents
in the top 2.8% nationally
Higher is healthier
ST96thUS97thDefinition & 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 ›Grocery access
0.21 per 1,000 residents
in the top 7.0% nationally
Higher is healthier
ST91stUS93rdDefinition & 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 ›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 ›Slow internet speeds
1.1%
in the top 10.2% nationally
Lower is healthier
ST95thUS90thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Mammography
80.6%
in the top 8.3% nationally
Higher is healthier
ST80thUS92ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Uninsured (under 65)
4.8%
in the bottom 5.3% nationally
Lower is healthier
ST22ndUS5thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›Fatal road crashes
25.2 per 100,000 residents per year
in the top 19% nationally
Lower is healthier
ST95thUS81stDefinition & 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 ›Short sleep
32.5%
in the bottom 24% nationally
Lower is healthier
ST7thUS24thDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›The read
Lake George, New York (ZIP 12845), by its composite score, sits in the top 13.5% healthiest ZIPs nationally (4,325th) and the top 32% of New York (555th), based on limited data; treat as directional.
The clearest bright points in the data come first here: recreation stands in the top 2.8% nationally, and grocery registers in the top 7.0% nationally. Modeled colon screening settles in the top 4.4% nationally. Modeled extreme heat sits at the national minimum, shared with about 19% of ZIPs. Modeled mammography lies in the top 8.3% nationally, tree cover rests in the top 11.5% nationally, and loneliness resides in the bottom 11.6% nationally. Park land is in the top 12.5% nationally. By contrast, slow internet speeds lands in the top 10.2% nationally, and modeled loud transportation noise stands in the top 10.5% nationally.
Next to the surrounding area, park land runs far higher than the surrounding ZIPs on this measure. For anyone unfamiliar, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Loud transportation noise is the modeled share of an area exposed to road, rail, and air noise at or above 65 decibels, near conversation volume. For a healthier comparison close by, see ZIP 12804, 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
Social Need / SDOH
healthier than 70%
16%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 84%
11%
Mental Health
healthier than 83%
8%
Disability
healthier than 74%
7%
Climate / Disaster RiskPartial
healthier than 91%
5%
Healthcare Access
healthier than 78%
5%
About typical
Chronic Disease Burden
healthier than 52%
21%
Environmental Hazard
healthier than 58%
14%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 65%
16%
Preventive Care
healthier than 87%
13%
Risk Behavior
healthier than 85%
11%
Climate / Disaster RiskPartial
healthier than 82%
5%
Healthcare Access
healthier than 72%
5%
About typical
Environmental Hazard
healthier than 51%
14%
Mental Health
healthier than 48%
8%
Disability
healthier than 46%
7%
Holding it back
Chronic Disease Burden
healthier than 26%
21%
“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
12804
New Yorkshares a border
Score 62.41
Closest healthier
12824
New Yorkshares a border
Score 62.11
Similar health profile
48076
Michigan99% similar profile
Score 61.53
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 | 31.4% | 28.1–34.6 |
| High blood pressure among adults | 37.2% | 33.4–40.9 |
| Cancer (non-skin) or melanoma among adults | 11.4% | 10.4–12.5 |
| Current asthma among adults | 10.8% | 9.6–12.1 |
| Coronary heart disease among adults | 7.6% | 6.8–8.4 |
| Chronic obstructive pulmonary disease among adults | 7.5% | 6.5–8.5 |
| Depression among adults | 20.4% | 17.5–23.5 |
| Diagnosed diabetes among adults | 11.7% | 10.1–13.3 |
| High cholesterol among adults who have ever been screened | 39.7% | 35.7–43.7 |
| Obesity among adults | 30.8% | 25.2–36.6 |
| Stroke among adults | 3.7% | 3.4–4.1 |
| All teeth lost among adults aged >=65 years | 9.4% | 7.6–11.4 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 4.8% | 4.0–5.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.2% | 78.5–83.6 |
| Visits to doctor for routine checkup within the past year among adults | 82.9% | 80.0–85.4 |
| Cholesterol screening among adults | 91.1% | 89.9–92.3 |
| Colorectal cancer screening among adults aged 45–75 years | 74.2% | 69.8–78.0 |
| Visited dentist or dental clinic in the past year among adults | 68.5% | 65.3–71.5 |
| Mammography use among women aged 50-74 years | 80.6% | 74.1–85.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.9% | 12.4–17.5 |
| Current cigarette smoking among adults | 11.5% | 9.8–13.4 |
| No leisure-time physical activity among adults | 22.6% | 19.1–26.2 |
| Short sleep duration among adults | 32.5% | 27.4–37.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 16.8% | 14.6–19.2 |
| Frequent mental distress among adults | 14.5% | 12.8–16.3 |
| Frequent physical distress among adults | 13.6% | 12.0–15.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.1% | 9.8–12.5 |
| Any disability among adults | 27.4% | 23.8–31.0 |
| Hearing disability among adults | 7.2% | 6.4–8.1 |
| Independent living disability among adults | 7.2% | 6.4–8.1 |
| Mobility disability among adults | 13.9% | 12.1–15.8 |
| Self-care disability among adults | 3.6% | 3.2–4.0 |
| Vision disability among adults | 4.3% | 3.9–4.8 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 20.5% | 17.5–23.7 |
| Food insecurity in the past 12 months among adults | 10.2% | 8.5–12.2 |
| Received food stamps in the past 12 months among adults | 9.3% | 7.7–11.1 |
| Housing insecurity in the past 12 months among adults | 8.7% | 7.3–10.2 |
| Lack of reliable transportation in the past 12 months among adults | 6.1% | 5.3–7.0 |
| Loneliness among adults | 28.7% | 24.4–33.1 |
| Utility services shut-off threat in the past 12 months among adults | 5.5% | 4.7–6.4 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.4% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 9.7% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 4.7% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 36.9% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 1.1% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 6.7% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 90.8% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 19.8% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 75.2% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 0.3% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 3.4% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 50.2% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 26.7% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 50.7 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $100,774 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $355,900 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,055 | $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 | 80.8 yr ± 1.47 | 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 1.47 years of 80.8, 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