ZIP code
10941
in Middletown, New YorkPopulation 14,422
61.08/ 100
Ranked #4,081 of 32,066 US ZIPs (top 12.8%)
Ranked #530 of 1,730 New York ZIPs (top 31%)
Ranked #49 of 77 Kiryas Joel-Poughkeepsie-Newburgh, NY ZIPs (bottom 36%)
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.
Physician access
3.1 per 1,000 residents
in the top 3.3% nationally
Higher is healthier
ST95thUS97thDefinition & source ›
The number of physicians’ offices located 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 ›Outpatient-care access
0.55 per 1,000 residents
in the top 6.5% nationally
Higher is healthier
ST96thUS94thDefinition & source ›
The number of outpatient clinics located 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 ›Hearing disability
4.9%
in the bottom 5.7% nationally
Lower is healthier
ST12thUS6thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Park land
15.2%
in the top 8.8% nationally
Higher is healthier
ST92ndUS91stDefinition & source ›
The share of this ZIP’s land area that is public parkland.
Full methodology ›High cholesterol
33.8%
in the bottom 12.7% nationally
Lower is healthier
ST9thUS13thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›Industrial-pollution burden
in the top 24% nationally
Lower is healthier
ST92ndUS76thDefinition & 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 ›The read
On the composite measure, ZIP 10941, one of several in Middletown, New York stands in the top 12.8% healthiest ZIPs nationally (4,081st) and the top 31% of New York (530th).
The bright spots in the data define much of the story here: physicians lies in the top 3.3% nationally, and outpatient is in the top 6.5% nationally. Modeled hearing disability registers in the bottom 5.7% nationally, and park land lies in the top 8.8% nationally. Modeled extreme heat is at the national minimum, shared with about 19% of ZIPs. Elder services registers in the top 11.1% nationally, modeled mammography lies in the top 10.6% nationally, and modeled coronary heart disease is in the bottom 12.1% nationally. Distance to an emergency room registers in the bottom 13.7% nationally. On the other side, distance to a Superfund site lies in the bottom 11.1% nationally.
Set beside the wider area around it, park land runs far higher than the surrounding ZIPs on this measure. For clarity, 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. ZIP 10915, 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. 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 81%
21%
Preventive Care
healthier than 76%
13%
Risk Behavior
healthier than 65%
11%
Mental Health
healthier than 89%
8%
Disability
healthier than 82%
7%
Climate / Disaster Risk
healthier than 74%
5%
Healthcare Access
healthier than 66%
5%
About typical
Social Need / SDOH
healthier than 57%
16%
Environmental Hazard
healthier than 41%
14%
Nothing measured is holding this score back.
Lifting this score
Chronic Disease Burden
healthier than 68%
21%
Mental Health
healthier than 60%
8%
About typical
Social Need / SDOH
healthier than 51%
16%
Risk Behavior
healthier than 56%
11%
Disability
healthier than 58%
7%
Healthcare Access
healthier than 56%
5%
Holding it back
Environmental Hazard
healthier than 31%
14%
Preventive Care
healthier than 33%
13%
Climate / Disaster Risk
healthier than 39%
5%
Lifting this score
Healthcare Access
healthier than 70%
5%
About typical
Chronic Disease Burden
healthier than 58%
21%
Environmental Hazard
healthier than 41%
14%
Mental Health
healthier than 58%
8%
Climate / Disaster Risk
healthier than 49%
5%
Holding it back
Social Need / SDOH
healthier than 32%
16%
Preventive Care
healthier than 32%
13%
Risk Behavior
healthier than 27%
11%
Disability
healthier than 35%
7%
“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.
Heavy environment, light chronic burden
Where the environment and chronic illness point in opposite directions
Environmental-hazard standing 25.2; chronic-disease standing 81.4 — 56 points apart, heavier on the environment than it is on chronic illness.
Ranked #15,023 of the 18,187 ZIP codes this finding names, ordered by the gap from cleanest environment to heaviest chronic burden, highest first.
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
10915
New Yorkshares a border
Score 64.95
Closest healthier
10916
New Yorkshares a border
Score 64.02
Similar health profile
10928
New York100% similar profile
Score 61.40
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 | 23.5% | 20.8–26.1 |
| High blood pressure among adults | 31.5% | 28.1–34.8 |
| Cancer (non-skin) or melanoma among adults | 7.2% | 6.5–7.9 |
| Current asthma among adults | 10.6% | 9.4–11.8 |
| Coronary heart disease among adults | 5.2% | 4.7–5.8 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.8–6.1 |
| Depression among adults | 17.0% | 14.4–19.6 |
| Diagnosed diabetes among adults | 11.0% | 9.5–12.4 |
| High cholesterol among adults who have ever been screened | 33.8% | 30.1–37.3 |
| Obesity among adults | 32.4% | 27.1–37.6 |
| Stroke among adults | 3.0% | 2.8–3.3 |
| All teeth lost among adults aged >=65 years | 12.9% | 10.3–15.5 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 8.0% | 6.8–9.3 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 75.9% | 72.8–78.6 |
| Visits to doctor for routine checkup within the past year among adults | 80.2% | 77.1–83.0 |
| Cholesterol screening among adults | 89.5% | 88.1–90.7 |
| Colorectal cancer screening among adults aged 45–75 years | 66.9% | 62.0–71.4 |
| Visited dentist or dental clinic in the past year among adults | 64.6% | 61.2–67.8 |
| Mammography use among women aged 50-74 years | 80.1% | 73.5–85.5 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 14.6% | 12.2–17.2 |
| Current cigarette smoking among adults | 11.1% | 9.5–12.8 |
| No leisure-time physical activity among adults | 25.1% | 21.4–28.7 |
| Short sleep duration among adults | 39.2% | 33.9–44.4 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 17.2% | 15.0–19.3 |
| Frequent mental distress among adults | 15.5% | 13.7–17.3 |
| Frequent physical distress among adults | 12.5% | 11.0–14.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.9% | 10.5–13.3 |
| Any disability among adults | 25.2% | 21.9–28.5 |
| Hearing disability among adults | 4.9% | 4.3–5.5 |
| Independent living disability among adults | 7.1% | 6.3–7.8 |
| Mobility disability among adults | 11.8% | 10.3–13.3 |
| Self-care disability among adults | 3.5% | 3.2–3.8 |
| Vision disability among adults | 4.7% | 4.3–5.2 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.3% | 22.2–28.7 |
| Food insecurity in the past 12 months among adults | 15.8% | 13.8–18.0 |
| Received food stamps in the past 12 months among adults | 12.8% | 11.1–14.5 |
| Housing insecurity in the past 12 months among adults | 15.2% | 13.5–17.2 |
| Lack of reliable transportation in the past 12 months among adults | 8.5% | 7.7–9.6 |
| Loneliness among adults | 31.8% | 27.8–36.2 |
| Utility services shut-off threat in the past 12 months among adults | 8.5% | 7.5–9.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 7.6% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 6.5% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 7.1% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 29.9% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 5.8% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 5.8% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 94.7% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 33.9% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 58.6% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 2.2% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 17.3% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 36.3% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 14.6% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 40.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $99,238 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $348,200 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,804 | $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 | 79.7 yr ± 1.04 | 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 1.04 years of 79.7, 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