ZIP code
12007
in Alcove, New YorkPopulation 331
58.81/ 100
Ranked #5,734 of 32,066 US ZIPs (top 18%)
Ranked #706 of 1,730 New York ZIPs (top 41%)
Ranked #52 of 114 Albany-Schenectady-Troy, NY ZIPs (top 46%)
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.
Median household income
$200,078
in the top 1.1% nationally
Higher is healthier
ST98thUS99thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Home broadband subscription
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Tree cover
82.3%
in the top 4.1% nationally
Higher is healthier
ST95thUS96thDefinition & source ›
The share of this ZIP’s land area covered by forest.
Full methodology ›Floodplain exposure
0.25%
in the bottom 8.4% nationally
Lower is healthier
ST16thUS8thDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 1%-annual-chance floodplain — the “100-year” flood zone, where flooding has about a 1-in-100 chance in any given year.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›PFAS in drinking water
10.9%
in the bottom 11.3% nationally
Lower is healthier
ST4thUS11thDefinition & 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 ›Fine-particle (PM2.5) exceedance
0.55%
in the top 17% nationally
Lower is healthier
ST94thUS83rdDefinition & source ›
The share of days in the year when modeled fine-particle (PM2.5) pollution was above the EPA’s daily limit of 35 micrograms per cubic meter.
Full methodology ›Uninsured (under 65)
5.4%
in the bottom 9.1% nationally
Lower is healthier
ST39thUS9thDefinition & source ›
The estimated share of adults aged 18–64 with no current health-insurance coverage.
Full methodology ›The read
By the composite measure, Alcove, New York (ZIP 12007) sits in the top 18% healthiest ZIPs nationally (5,734th) and the top 41% of New York (706th).
Where the data leans one way, another reading answers it: household income rests in the top 1.1% nationally, home broadband subscription sits at the national maximum, and modeled tree cover registers in the top 4.1% nationally. Unemployment lands at the national minimum, shared with about 15% of ZIPs. Floodplain exposure resides in the bottom 8.4% nationally. Modeled extreme heat lies at the national minimum, shared with about 19% of ZIPs. Modeled expected annual loss settles in the bottom 10.9% nationally. Modeled loud transportation noise stands at the national minimum, shared with about 22% of ZIPs. Modeled pfas is in the bottom 11.3% nationally. On the other hand, distance to a nursing home rests in the top 12.1% nationally.
In plain language, expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Floodplain exposure is land with about a 1-in-100 chance of flooding each year, nicknamed the "100-year floodplain". ZIP 12067, just across the boundary, ranks healthier 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 Albany-Schenectady-Troy, 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 68%
21%
Social Need / SDOH
healthier than 79%
16%
Environmental Hazard
healthier than 88%
14%
Preventive Care
healthier than 87%
13%
Risk Behavior
healthier than 62%
11%
Disability
healthier than 80%
7%
Climate / Disaster Risk
healthier than 92%
5%
About typical
Mental Health
healthier than 51%
8%
Holding it back
Healthcare Access
healthier than 12%
5%
Lifting this score
Social Need / SDOH
healthier than 74%
16%
Environmental Hazard
healthier than 94%
14%
Climate / Disaster Risk
healthier than 85%
5%
About typical
Chronic Disease Burden
healthier than 47%
21%
Preventive Care
healthier than 52%
13%
Risk Behavior
healthier than 52%
11%
Disability
healthier than 54%
7%
Holding it back
Mental Health
healthier than 12%
8%
Healthcare Access
healthier than 11%
5%
Lifting this score
Social Need / SDOH
healthier than 78%
16%
Environmental Hazard
healthier than 99%
14%
Risk Behavior
healthier than 64%
11%
Climate / Disaster Risk
healthier than 87%
5%
About typical
Chronic Disease Burden
healthier than 57%
21%
Preventive Care
healthier than 46%
13%
Disability
healthier than 58%
7%
Holding it back
Mental Health
healthier than 16%
8%
Healthcare Access
healthier than 31%
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
12046
New Yorkshares a border
Score 57.29
Closest healthier
12067
New Yorkshares a border
Score 61.71
Similar health profile
47983
Indiana98% similar profile
Score 58.97
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 | 28.2% | 25.3–31.0 |
| High blood pressure among adults | 33.4% | 30.2–36.7 |
| Cancer (non-skin) or melanoma among adults | 10.1% | 9.0–11.2 |
| Current asthma among adults | 11.5% | 10.2–12.9 |
| Coronary heart disease among adults | 6.1% | 5.2–7.2 |
| Chronic obstructive pulmonary disease among adults | 6.8% | 5.4–8.4 |
| Depression among adults | 23.8% | 20.7–27.0 |
| Diagnosed diabetes among adults | 9.4% | 7.9–11.0 |
| High cholesterol among adults who have ever been screened | 37.7% | 34.1–41.2 |
| Obesity among adults | 30.7% | 26.2–35.3 |
| Stroke among adults | 3.2% | 2.7–3.8 |
| All teeth lost among adults aged >=65 years | 9.2% | 7.5–11.2 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.4% | 3.8–7.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.4% | 76.6–81.9 |
| Visits to doctor for routine checkup within the past year among adults | 80.4% | 77.6–83.0 |
| Cholesterol screening among adults | 90.0% | 87.8–92.0 |
| Colorectal cancer screening among adults aged 45–75 years | 70.3% | 66.2–74.3 |
| Visited dentist or dental clinic in the past year among adults | 65.2% | 62.2–68.3 |
| Mammography use among women aged 50-74 years | 78.5% | 72.1–83.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.1% | 15.6–20.8 |
| Current cigarette smoking among adults | 11.9% | 8.9–14.9 |
| No leisure-time physical activity among adults | 22.2% | 18.0–26.9 |
| Short sleep duration among adults | 35.5% | 31.3–40.1 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 15.0% | 12.1–18.3 |
| Frequent mental distress among adults | 16.2% | 13.8–18.5 |
| Frequent physical distress among adults | 12.9% | 11.0–15.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 12.4% | 10.0–14.9 |
| Any disability among adults | 27.4% | 23.1–32.1 |
| Hearing disability among adults | 6.0% | 5.1–6.9 |
| Independent living disability among adults | 7.5% | 6.1–9.0 |
| Mobility disability among adults | 12.4% | 10.1–15.0 |
| Self-care disability among adults | 3.1% | 2.6–3.8 |
| Vision disability among adults | 3.9% | 3.2–4.7 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.7% | 18.6–26.7 |
| Food insecurity in the past 12 months among adults | 10.4% | 7.6–13.7 |
| Received food stamps in the past 12 months among adults | 9.1% | 6.4–12.2 |
| Housing insecurity in the past 12 months among adults | 9.6% | 7.2–11.9 |
| Lack of reliable transportation in the past 12 months among adults | 6.0% | 4.8–7.5 |
| Loneliness among adults | 35.4% | 30.5–40.4 |
| Utility services shut-off threat in the past 12 months among adults | 5.6% | 4.4–6.8 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 10.0% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 0.0% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 0.9% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 26.9% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 9.6% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 100.0% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 18.4% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 91.2% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 0.0% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 0.0% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 32.0% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 11.8% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 48.1 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $200,078 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $386,700 | $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 at birth | 78.3 yr ± 1.44 | 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 1.44 years of 78.3, 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