ZIP code
12929
in Dannemora, New YorkPopulation 2,684
46.47/ 100
Ranked #20,799 of 32,066 US ZIPs (bottom 35%)
Ranked #1,602 of 1,730 New York ZIPs (bottom 7.4%)
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.
Natural-disaster risk
in the bottom 0.7% nationally
Lower is healthier
ST1stUS1stDefinition & 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 ›Fatal road crashes
0 per 100,000 residents per year
at the national minimum
Lower is healthier
ST1stUS1stDefinition & 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 ›Industrial-pollution burden
in the bottom 2.9% nationally
Lower is healthier
ST3rdUS3rdDefinition & source ›
The EPA’s modeled screening score for industrial chemical releases, weighting the amounts released by their toxicity and how many people live nearby — a relative comparison score, not a measured exposure.
Full methodology ›Expected annual disaster loss
$0
in the bottom 3.1% nationally
Lower is healthier
ST3rdUS3rdDefinition & source ›
FEMA’s modeled estimate, in dollars per year, of the average harm to people expected from natural hazards — an annualized average, not a forecast for any single year.
Full methodology ›Colon-cancer screening
54.9%
in the bottom 4.8% nationally
Higher is healthier
ST1stUS5thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Housing insecurity
25.3%
in the top 3.9% nationally
Lower is healthier
ST97thUS96thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›High cholesterol
30.1%
in the bottom 3.5% nationally
Lower is healthier
ST2ndUS3rdDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›PFAS in drinking water
67.9%
in the top 5.0% nationally
Lower is healthier
ST92ndUS95thDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Utility shut-off threat
16%
in the top 5.6% nationally
Lower is healthier
ST97thUS94thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Short sleep
42.8%
in the top 7.0% nationally
Lower is healthier
ST93rdUS93rdDefinition & source ›
The estimated share of adults who usually sleep less than seven hours in a 24-hour period.
Full methodology ›The read
On the composite measure, Dannemora, New York (ZIP 12929) stands in the bottom 35% nationally (20,799th) and the bottom 7.4% of New York (1,602nd).
The weightiest signals in the profile are worth naming up front: modeled colon screening sits in the bottom 4.8% nationally, and housing insecurity resides in the top 3.9% nationally. Modeled pfas stands in the top 5.0% nationally, and utility shutoff sits in the top 5.6% nationally. Modeled short sleep resides in the top 7.0% nationally. More positively, modeled disaster risk stands in the bottom 0.7% nationally, fatal road crashes sits at the national minimum, and modeled industrial-pollution burden resides in the bottom 2.9% nationally. Modeled expected annual loss stands in the bottom 3.1% nationally, and high cholesterol sits in the bottom 3.5% nationally.
For clarity, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Industrial-pollution burden is the EPA's modeled screening score weighting industrial chemical releases by their toxicity and how many people live nearby. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. ZIP 12918, just across the boundary, ranks better overall among the ZIPs nearby.
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
Chronic Disease Burden
healthier than 81%
21%
Environmental Hazard
healthier than 64%
14%
Mental Health
healthier than 69%
8%
Climate / Disaster Risk
healthier than 95%
5%
About typical
Disability
healthier than 49%
7%
Holding it back
Social Need / SDOH
healthier than 5%
16%
Preventive Care
healthier than 6%
13%
Risk Behavior
healthier than 2%
11%
Healthcare Access
healthier than 12%
5%
Lifting this score
Chronic Disease Burden
healthier than 67%
21%
Climate / Disaster Risk
healthier than 95%
5%
About typical
Environmental Hazard
healthier than 59%
14%
Holding it back
Social Need / SDOH
healthier than 4%
16%
Preventive Care
in the bottom 0.5%
13%
Risk Behavior
healthier than 1%
11%
Mental Health
healthier than 27%
8%
Disability
healthier than 18%
7%
Healthcare Access
healthier than 13%
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
12918
New Yorkshares a border
Score 56.14
Closest healthier
12981
New Yorkshares a border
Score 55.28
Similar health profile
12821
New York96% similar profile
Score 49.18
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 | 18.8% | 16.5–21.1 |
| High blood pressure among adults | 34.8% | 31.1–38.6 |
| Cancer (non-skin) or melanoma among adults | 4.4% | 3.9–4.8 |
| Current asthma among adults | 10.3% | 9.0–11.5 |
| Coronary heart disease among adults | 5.5% | 4.8–6.2 |
| Chronic obstructive pulmonary disease among adults | 6.5% | 5.5–7.5 |
| Depression among adults | 17.6% | 14.9–20.4 |
| Diagnosed diabetes among adults | 11.5% | 9.9–13.1 |
| High cholesterol among adults who have ever been screened | 30.1% | 26.7–33.8 |
| Obesity among adults | 41.3% | 35.2–47.4 |
| Stroke among adults | 3.2% | 2.8–3.6 |
| All teeth lost among adults aged >=65 years | 14.9% | 12.3–17.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 15.0% | 11.6–18.5 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 65.9% | 62.1–69.6 |
| Visits to doctor for routine checkup within the past year among adults | 74.3% | 70.3–77.8 |
| Cholesterol screening among adults | 81.5% | 78.8–84.2 |
| Colorectal cancer screening among adults aged 45–75 years | 54.9% | 50.0–59.8 |
| Visited dentist or dental clinic in the past year among adults | 47.6% | 44.3–51.0 |
| Mammography use among women aged 50-74 years | 74.1% | 67.1–80.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.9% | 15.7–22.2 |
| Current cigarette smoking among adults | 20.9% | 17.3–24.6 |
| No leisure-time physical activity among adults | 33.0% | 28.0–38.2 |
| Short sleep duration among adults | 42.8% | 37.6–48.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 24.8% | 20.9–28.8 |
| Frequent mental distress among adults | 18.6% | 16.4–20.9 |
| Frequent physical distress among adults | 14.4% | 12.4–16.4 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 17.0% | 14.5–19.6 |
| Any disability among adults | 30.8% | 26.1–35.5 |
| Hearing disability among adults | 5.0% | 4.3–5.6 |
| Independent living disability among adults | 9.1% | 7.8–10.6 |
| Mobility disability among adults | 12.2% | 10.3–14.2 |
| Self-care disability among adults | 5.0% | 4.2–5.7 |
| Vision disability among adults | 6.6% | 5.7–7.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 33.8% | 29.2–38.2 |
| Food insecurity in the past 12 months among adults | 28.7% | 23.6–34.3 |
| Received food stamps in the past 12 months among adults | 26.2% | 21.4–31.4 |
| Housing insecurity in the past 12 months among adults | 25.3% | 21.3–29.6 |
| Lack of reliable transportation in the past 12 months among adults | 14.6% | 12.3–17.2 |
| Loneliness among adults | 37.1% | 31.8–42.2 |
| Utility services shut-off threat in the past 12 months among adults | 16.0% | 13.6–18.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 13.8% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 5.2% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 55.4% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 8.0% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 9.5% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 4.5% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 83.5% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 22.0% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 81.9% | 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 | 14.4% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 55.2% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 4.9% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 37.2 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $62,411 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $134,400 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $740 | $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 | 78.5 yr ± 0.80 | 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 0.80 years of 78.5, 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