ZIP code
12603
in Poughkeepsie, New YorkPopulation 42,304
62.74/ 100
Ranked #3,111 of 32,066 US ZIPs (top 9.8%)
Ranked #410 of 1,730 New York ZIPs (top 24%)
Ranked #34 of 77 Kiryas Joel-Poughkeepsie-Newburgh, NY ZIPs (top 44%)
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.
PFAS in drinking water
60.1%
in the top 7.9% nationally
Lower is healthier
ST88thUS92ndDefinition & 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 ›Distance to a Superfund site
1.5 mi
in the bottom 8.8% nationally
Higher is healthier
ST13thUS9thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Superfund site — an abandoned or uncontrolled hazardous-waste site the EPA has listed for cleanup.
Full methodology ›Slow internet speeds
1.2%
in the top 9.2% nationally
Lower is healthier
ST95thUS91stDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Mammography
80.8%
in the top 7.4% nationally
Higher is healthier
ST82ndUS93rdDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Colon-cancer screening
72.7%
in the top 8.2% nationally
Higher is healthier
ST79thUS92ndDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
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 ›The read
By the composite health measure, ZIP 12603, one of several in Poughkeepsie, New York ranks in the top 9.8% healthiest ZIPs nationally (3,111th) and the top 24% of New York (410th).
A number of measures place this area on solid footing: modeled obesity is in the bottom 11.0% nationally. Modeled extreme heat settles at the national minimum, shared with about 19% of ZIPs. Modeled mammography resides in the top 7.4% nationally, and colon screening registers in the top 8.2% nationally. Distance to a community health center rests at the national minimum, shared with about 23% of ZIPs. Modeled hearing disability stands in the bottom 11.0% nationally, and cognitive disability lies in the bottom 10.2% nationally. By contrast, modeled pfas lands in the top 7.9% nationally, distance to a Superfund site sits in the bottom 8.8% nationally, and slow internet speeds is in the top 9.2% nationally.
Read against the ZIPs closest to it, park land runs far higher than the surrounding ZIPs on this measure. To spell things out, 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. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Close by, ZIP 12540, 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 Kiryas Joel-Poughkeepsie-Newburgh, 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%
Preventive Care
healthier than 92%
13%
Risk Behavior
healthier than 83%
11%
Mental Health
healthier than 90%
8%
Disability
healthier than 86%
7%
Healthcare Access
healthier than 91%
5%
About typical
Social Need / SDOH
healthier than 60%
16%
Climate / Disaster Risk
healthier than 50%
5%
Holding it back
Environmental Hazard
healthier than 30%
14%
Lifting this score
Chronic Disease Burden
healthier than 64%
21%
Preventive Care
healthier than 69%
13%
Risk Behavior
healthier than 83%
11%
Mental Health
healthier than 62%
8%
Disability
healthier than 65%
7%
Healthcare Access
healthier than 91%
5%
About typical
Social Need / SDOH
healthier than 54%
16%
Holding it back
Environmental Hazard
healthier than 20%
14%
Climate / Disaster Risk
healthier than 16%
5%
Lifting this score
Preventive Care
healthier than 79%
13%
Risk Behavior
healthier than 75%
11%
Mental Health
healthier than 61%
8%
Healthcare Access
healthier than 92%
5%
About typical
Chronic Disease Burden
healthier than 45%
21%
Disability
healthier than 55%
7%
Holding it back
Social Need / SDOH
healthier than 37%
16%
Environmental Hazard
healthier than 14%
14%
Climate / Disaster Risk
healthier than 10%
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 ›
Findings that name this ZIP
One of our published findings lists this ZIP code. Each finding compares one published measure against a stated benchmark, and names only the ZIP codes whose estimates are reliable enough to rank. See all surprising findings.
Above what income predicts
The ZIP codes that outlive their incomes
Estimated life expectancy is 82.0 ± 1.0 years. A median household income of $103,538 predicts 80.2 years — 1.8 years above.
Ranked #1,075 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
12540
New Yorkshares a border
Score 62.87
Closest healthier
12569
New Yorkshares a border
Score 64.13
Similar health profile
06614
Connecticut100% similar profile
Score 62.94
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 | 25.9% | 23.2–28.8 |
| High blood pressure among adults | 33.3% | 30.0–36.9 |
| Cancer (non-skin) or melanoma among adults | 9.0% | 8.2–9.9 |
| Current asthma among adults | 10.4% | 9.3–11.6 |
| Coronary heart disease among adults | 5.8% | 5.2–6.4 |
| Chronic obstructive pulmonary disease among adults | 5.5% | 5.0–6.2 |
| Depression among adults | 18.5% | 16.0–21.4 |
| Diagnosed diabetes among adults | 9.8% | 8.6–11.2 |
| High cholesterol among adults who have ever been screened | 36.2% | 32.7–40.1 |
| Obesity among adults | 27.8% | 23.1–33.1 |
| Stroke among adults | 3.1% | 2.9–3.3 |
| All teeth lost among adults aged >=65 years | 10.5% | 8.6–12.6 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.9% | 5.1–6.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.2% | 75.6–80.8 |
| Visits to doctor for routine checkup within the past year among adults | 80.7% | 77.9–83.5 |
| Cholesterol screening among adults | 90.7% | 89.6–91.8 |
| Colorectal cancer screening among adults aged 45–75 years | 72.7% | 68.4–76.4 |
| Visited dentist or dental clinic in the past year among adults | 68.0% | 64.9–70.9 |
| Mammography use among women aged 50-74 years | 80.8% | 74.9–85.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.9% | 12.5–17.6 |
| Current cigarette smoking among adults | 10.3% | 9.0–11.8 |
| No leisure-time physical activity among adults | 20.7% | 17.8–24.1 |
| Short sleep duration among adults | 35.7% | 30.7–40.8 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.3% | 12.7–16.2 |
| Frequent mental distress among adults | 14.3% | 12.8–16.0 |
| Frequent physical distress among adults | 11.6% | 10.3–13.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.0% | 9.8–12.2 |
| Any disability among adults | 24.5% | 21.6–27.8 |
| Hearing disability among adults | 5.5% | 4.9–6.1 |
| Independent living disability among adults | 6.6% | 5.9–7.3 |
| Mobility disability among adults | 11.4% | 10.1–13.0 |
| Self-care disability among adults | 3.2% | 2.9–3.5 |
| Vision disability among adults | 4.1% | 3.8–4.5 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 23.2% | 19.9–26.8 |
| Food insecurity in the past 12 months among adults | 11.7% | 10.1–13.5 |
| Received food stamps in the past 12 months among adults | 9.8% | 8.5–11.3 |
| Housing insecurity in the past 12 months among adults | 11.0% | 9.5–12.6 |
| Lack of reliable transportation in the past 12 months among adults | 6.7% | 5.9–7.6 |
| Loneliness among adults | 32.1% | 27.5–36.9 |
| Utility services shut-off threat in the past 12 months among adults | 6.5% | 5.6–7.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.5% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 3.3% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 5.3% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 47.5% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 3.8% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 8.0% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 92.2% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 34.8% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 71.6% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 1.3% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 13.5% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 47.8% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 18.2% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 41.5 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $103,538 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $368,900 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,727 | $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 | 82.0 yr ± 0.53 | 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 0.53 years of 82.0, 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