ZIP code
12148
in Rexford, New YorkPopulation 4,023
70.52/ 100
Ranked #500 of 32,066 US ZIPs (top 1.6%)
Ranked #85 of 1,730 New York ZIPs (top 5.0%)
Ranked #2 of 114 Albany-Schenectady-Troy, NY ZIPs (top 1.8%)
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.
Lack of transportation
4.1%
in the bottom 1.9% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Food insecurity
6.5%
in the bottom 2.4% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Utility shut-off threat
3.8%
in the bottom 2.8% nationally
Lower is healthier
ST4thUS3rdDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Cognitive disability
8.4%
in the bottom 1.1% nationally
Lower is healthier
ST5thUS1stDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Median household income
$141,984
in the top 4.9% nationally
Higher is healthier
ST89thUS95thDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Mammography
82.7%
in the top 2.8% nationally
Higher is healthier
ST96thUS97thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Housing insecurity
6.6%
in the bottom 4.9% nationally
Lower is healthier
ST4thUS5thDefinition & source ›
The estimated share of adults who experienced housing insecurity in the past 12 months.
Full methodology ›Fair or poor health
11.2%
in the bottom 2.0% nationally
Lower is healthier
ST5thUS2ndDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›PFAS in drinking water
100%
at the national maximum
Lower is healthier
ST99thUS99thDefinition & source ›
The share of residents served by public water systems where PFAS — man-made “forever chemicals” that build up in the body and environment instead of breaking down — were detected in EPA testing.
Measured from EPA records for the public water systems that serve this ZIP. Households on private wells — roughly 30% of the US population — are not covered by this measure, and this figure says nothing about their water.
Full methodology ›Short sleep
29%
in the bottom 5.8% nationally
Lower is healthier
ST1stUS6thDefinition & 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, Rexford, New York (ZIP 12148) stands in the top 1.6% healthiest ZIPs nationally (500th) and the top 5.0% of New York (85th), based on limited data; treat as directional.
A balanced set of signals defines this area, not any single one: modeled transportation settles in the bottom 1.9% nationally, and food insecurity rests in the bottom 2.4% nationally. Modeled utility shutoff lands in the bottom 2.8% nationally, and cognitive disability settles in the bottom 1.1% nationally. Household income rests in the top 4.9% nationally, modeled mammography lands in the top 2.8% nationally, and modeled housing insecurity settles in the bottom 4.9% nationally. Modeled fair or poor health rests in the bottom 2.0% nationally, and short sleep lands in the bottom 5.8% nationally. By contrast, PFAS in drinking water settles at the national maximum.
Set beside the wider area around it, park land runs far lower than the surrounding ZIPs on this measure. For clarity, PFAS in drinking water is the family of man-made "forever chemicals" that build up in the body and environment instead of breaking down. Among the ZIPs nearby, none ranks healthier overall than this one.
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 79%
21%
Social Need / SDOH
healthier than 96%
16%
Environmental Hazard
healthier than 61%
14%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 97%
11%
Mental Health
healthier than 96%
8%
Disability
healthier than 96%
7%
Climate / Disaster RiskPartial
healthier than 83%
5%
Healthcare Access
healthier than 63%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 64%
21%
Social Need / SDOH
healthier than 95%
16%
Preventive Care
healthier than 95%
13%
Risk Behavior
healthier than 99%
11%
Mental Health
healthier than 81%
8%
Disability
healthier than 90%
7%
About typical
Environmental Hazard
healthier than 55%
14%
Climate / Disaster RiskPartial
healthier than 57%
5%
Healthcare Access
healthier than 52%
5%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 80%
21%
Social Need / SDOH
in the top 0.00%
16%
Preventive Care
healthier than 96%
13%
Risk Behavior
in the top 0.00%
11%
Mental Health
in the top 0.00%
8%
Disability
healthier than 96%
7%
Healthcare Access
healthier than 62%
5%
About typical
Environmental Hazard
healthier than 46%
14%
Climate / Disaster RiskPartial
healthier than 56%
5%
Nothing measured is holding this score back.
“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
12008
New Yorkshares a border
Score 63.18
Similar health profile
14534
New York100% similar profile
Score 71.83
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% | 25.3–31.5 |
| High blood pressure among adults | 31.9% | 28.4–35.7 |
| Cancer (non-skin) or melanoma among adults | 11.0% | 9.9–12.1 |
| Current asthma among adults | 9.8% | 8.7–11.1 |
| Coronary heart disease among adults | 5.6% | 4.8–6.5 |
| Chronic obstructive pulmonary disease among adults | 4.7% | 3.8–5.9 |
| Depression among adults | 18.2% | 15.7–21.2 |
| Diagnosed diabetes among adults | 8.9% | 7.5–10.5 |
| High cholesterol among adults who have ever been screened | 39.3% | 35.6–43.1 |
| Obesity among adults | 30.0% | 25.3–35.3 |
| Stroke among adults | 2.8% | 2.4–3.3 |
| All teeth lost among adults aged >=65 years | 6.7% | 5.4–8.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.4% | 2.7–4.4 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.4% | 77.5–83.0 |
| Visits to doctor for routine checkup within the past year among adults | 83.0% | 80.4–85.5 |
| Cholesterol screening among adults | 93.1% | 92.0–94.1 |
| Colorectal cancer screening among adults aged 45–75 years | 73.5% | 69.5–77.3 |
| Visited dentist or dental clinic in the past year among adults | 72.1% | 69.1–74.9 |
| Mammography use among women aged 50-74 years | 82.7% | 77.1–87.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.5% | 13.1–18.2 |
| Current cigarette smoking among adults | 7.7% | 6.0–9.9 |
| No leisure-time physical activity among adults | 17.1% | 13.8–21.0 |
| Short sleep duration among adults | 29.0% | 24.8–33.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 11.2% | 9.2–13.7 |
| Frequent mental distress among adults | 12.3% | 10.7–14.2 |
| Frequent physical distress among adults | 10.4% | 8.8–12.2 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 8.4% | 7.1–10.1 |
| Any disability among adults | 21.1% | 17.8–24.9 |
| Hearing disability among adults | 5.6% | 4.8–6.4 |
| Independent living disability among adults | 5.2% | 4.3–6.4 |
| Mobility disability among adults | 9.7% | 7.9–12.0 |
| Self-care disability among adults | 2.4% | 2.0–2.9 |
| Vision disability among adults | 3.0% | 2.5–3.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.0% | 16.0–22.6 |
| Food insecurity in the past 12 months among adults | 6.5% | 5.0–8.4 |
| Received food stamps in the past 12 months among adults | 5.0% | 3.8–6.6 |
| Housing insecurity in the past 12 months among adults | 6.6% | 5.3–8.3 |
| Lack of reliable transportation in the past 12 months among adults | 4.1% | 3.4–5.0 |
| Loneliness among adults | 28.8% | 24.6–33.5 |
| Utility services shut-off threat in the past 12 months among adults | 3.8% | 3.1–4.7 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 4.3% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 1.4% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 3.2% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 60.0% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 2.0% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 6.2% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 89.1% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 24.7% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 81.3% | 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 | 7.4% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 60.7% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 25.1% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 54.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $141,984 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $427,400 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,028 | $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 | 86.3 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 86.3, 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