ZIP code
10933
in Johnson, New YorkPopulation 117
60.38/ 100
Ranked #4,564 of 32,066 US ZIPs (top 14.3%)
Ranked #582 of 1,730 New York ZIPs (top 34%)
Ranked #55 of 77 Kiryas Joel-Poughkeepsie-Newburgh, NY ZIPs (bottom 29%)
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.
Homeownership rate
100%
at the national maximum
Higher is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Housing-cost burden
51%
in the top 2.8% nationally
Lower is healthier
ST95thUS97thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Hearing disability
4.5%
in the bottom 3.6% nationally
Lower is healthier
ST7thUS4thDefinition & source ›
The estimated share of adults who are deaf or have serious difficulty hearing.
Full methodology ›Transportation noise
0.04%
in the bottom 6.8% nationally
Lower is healthier
ST6thUS7thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Coronary heart disease
4.6%
in the bottom 6.3% nationally
Lower is healthier
ST6thUS6thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have coronary heart disease or angina.
Full methodology ›High blood pressure
28.1%
in the bottom 6.3% nationally
Lower is healthier
ST8thUS6thDefinition & source ›
The estimated share of adults who have been told by a health professional that they have high blood pressure.
Full methodology ›Natural-disaster risk
in the bottom 9.0% nationally
Lower is healthier
ST19thUS9thDefinition & 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 ›Expected annual disaster loss
$0
in the bottom 9.4% nationally
Lower is healthier
ST12thUS9thDefinition & 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 ›Diabetes
8.8%
in the bottom 7.6% nationally
Lower is healthier
ST11thUS8thDefinition & source ›
The estimated share of adults who have been diagnosed with diabetes.
Full methodology ›High cholesterol
32.5%
in the bottom 7.9% nationally
Lower is healthier
ST6thUS8thDefinition & source ›
The estimated share of adults with high cholesterol, among those who have ever been screened for it.
Full methodology ›The read
Johnson, New York (ZIP 10933), in overall standing, comes out in the top 14.3% healthiest ZIPs nationally (4,564th) and the top 34% of New York (582nd).
A few readings each way define this mixed profile: homeownership lands at the national maximum, modeled hearing disability rests in the bottom 3.6% nationally, and modeled transportation noise settles in the bottom 6.8% nationally. Unemployment lands at the national minimum, shared with about 15% of ZIPs. Households without a vehicle rests at the national minimum, shared with about 16% of ZIPs. Modeled coronary heart disease settles in the bottom 6.3% nationally, and high blood pressure lands in the bottom 6.3% nationally. Modeled disaster risk rests in the bottom 9.0% nationally, and expected annual loss settles in the bottom 9.4% nationally. Pulling the other way, housing-cost burden lands in the top 2.8% nationally.
Set within its surrounding area, park land runs far lower than the surrounding ZIPs on this measure. Defined simply, for reference, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Expected annual loss is FEMA's modeled estimate, in dollars, of average yearly harm to people from natural hazards. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. The closest healthier ZIP overall is ZIP 10973, just across the boundary.
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 88%
21%
Environmental Hazard
healthier than 78%
14%
Preventive Care
healthier than 66%
13%
Risk Behavior
healthier than 65%
11%
Mental Health
healthier than 70%
8%
Disability
healthier than 89%
7%
About typical
Social Need / SDOH
healthier than 53%
16%
Holding it back
Climate / Disaster Risk
healthier than 38%
5%
Healthcare Access
healthier than 29%
5%
Lifting this score
Chronic Disease Burden
healthier than 81%
21%
Environmental Hazard
healthier than 83%
14%
Disability
healthier than 73%
7%
About typical
Social Need / SDOH
healthier than 48%
16%
Risk Behavior
healthier than 57%
11%
Holding it back
Preventive Care
healthier than 25%
13%
Mental Health
healthier than 28%
8%
Climate / Disaster Risk
healthier than 10%
5%
Healthcare Access
healthier than 25%
5%
Lifting this score
Chronic Disease Burden
healthier than 89%
21%
Environmental Hazard
healthier than 96%
14%
Disability
healthier than 66%
7%
Holding it back
Social Need / SDOH
healthier than 25%
16%
Preventive Care
healthier than 21%
13%
Risk Behavior
healthier than 28%
11%
Mental Health
healthier than 8%
8%
Climate / Disaster Risk
healthier than 6%
5%
Healthcare Access
healthier than 4%
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
10973
New Yorkshares a border
Score 63.61
Closest healthier
10998
New Yorkshares a border
Score 61.32
Similar health profile
14228
New York97% similar profile
Score 61.76
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 | 22.8% | 20.2–25.7 |
| High blood pressure among adults | 28.1% | 24.9–31.4 |
| Cancer (non-skin) or melanoma among adults | 7.4% | 6.6–8.3 |
| Current asthma among adults | 11.0% | 9.8–12.4 |
| Coronary heart disease among adults | 4.6% | 3.9–5.3 |
| Chronic obstructive pulmonary disease among adults | 5.4% | 4.3–6.5 |
| Depression among adults | 20.3% | 17.5–23.3 |
| Diagnosed diabetes among adults | 8.8% | 7.6–10.3 |
| High cholesterol among adults who have ever been screened | 32.5% | 29.0–36.1 |
| Obesity among adults | 31.3% | 26.1–36.7 |
| Stroke among adults | 2.6% | 2.2–3.0 |
| All teeth lost among adults aged >=65 years | 10.5% | 8.3–13.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.0% | 4.5–7.8 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 73.3% | 69.9–76.5 |
| Visits to doctor for routine checkup within the past year among adults | 78.8% | 75.4–81.9 |
| Cholesterol screening among adults | 89.2% | 87.0–91.1 |
| Colorectal cancer screening among adults aged 45–75 years | 64.8% | 59.9–69.3 |
| Visited dentist or dental clinic in the past year among adults | 67.9% | 64.6–71.1 |
| Mammography use among women aged 50-74 years | 77.4% | 70.2–83.3 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 16.9% | 14.2–19.9 |
| Current cigarette smoking among adults | 11.8% | 8.9–14.8 |
| No leisure-time physical activity among adults | 21.7% | 17.8–26.0 |
| Short sleep duration among adults | 36.9% | 31.8–42.2 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.9% | 12.3–17.9 |
| Frequent mental distress among adults | 16.6% | 14.4–18.9 |
| Frequent physical distress among adults | 12.0% | 10.2–13.9 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 11.9% | 9.9–14.2 |
| Any disability among adults | 23.1% | 19.5–27.2 |
| Hearing disability among adults | 4.5% | 3.9–5.1 |
| Independent living disability among adults | 6.7% | 5.5–8.0 |
| Mobility disability among adults | 10.1% | 8.2–12.1 |
| Self-care disability among adults | 3.0% | 2.4–3.5 |
| Vision disability among adults | 3.8% | 3.2–4.4 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 22.3% | 19.0–25.9 |
| Food insecurity in the past 12 months among adults | 12.3% | 9.3–15.7 |
| Received food stamps in the past 12 months among adults | 10.8% | 7.9–14.1 |
| Housing insecurity in the past 12 months among adults | 12.2% | 9.7–14.9 |
| Lack of reliable transportation in the past 12 months among adults | 7.0% | 5.7–8.5 |
| Loneliness among adults | 30.5% | 26.3–35.0 |
| Utility services shut-off threat in the past 12 months among adults | 7.0% | 5.7–8.5 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 6.8% | 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+) | 0.0% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 49.0% | 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 | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 83.7% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 51.0% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 100.0% | 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 | 0.0% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 14.5% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 13.6 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | — | $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 | 84.3 yr ± 2.58 | 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 2.58 years of 84.3, 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