ZIP code
11958
in Peconic, New YorkPopulation 884
64.48/ 100
Ranked #2,219 of 32,066 US ZIPs (top 7.0%)
Ranked #304 of 1,730 New York ZIPs (top 18%)
Ranked #447 of 853 New York-Newark-Jersey City, NY-NJ ZIPs (bottom 48%)
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.
Housing-cost burden
62.2%
in the top 1.1% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of households spending 30% or more of their income on housing.
Full methodology ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Distance to an emergency room
26.2 mi
in the top 2.7% nationally
Lower is healthier
ST99thUS97thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare-certified hospital with an emergency room.
Full methodology ›Recreation access
1.4 per 1,000 residents
in the top 3.8% nationally
Higher is healthier
ST95thUS96thDefinition & source ›
The number of places for physical recreation — gyms, sports, and fitness venues — 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 ›Loneliness
27.4%
in the bottom 4.5% nationally
Lower is healthier
ST5thUS4thDefinition & source ›
The estimated share of adults who report feeling lonely.
Full methodology ›Colon-cancer screening
74.6%
in the top 3.7% nationally
Higher is healthier
ST92ndUS96thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Utility shut-off threat
4.4%
in the bottom 6.6% nationally
Lower is healthier
ST10thUS7thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Cognitive disability
9.9%
in the bottom 4.7% nationally
Lower is healthier
ST16thUS5thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Tooth loss
5.0%
in the bottom 2.2% nationally
Lower is healthier
ST3rdUS2ndDefinition & source ›
The estimated share of adults aged 65 and older who have lost all of their natural teeth.
Full methodology ›Lack of transportation
5.0%
in the bottom 7.6% nationally
Lower is healthier
ST11thUS8thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›The read
Judged by its overall standing, Peconic, New York (ZIP 11958) sits in the top 7.0% healthiest ZIPs nationally (2,219th) and the top 18% of New York (304th), based on limited data; treat as directional.
A few readings each way define this mixed profile: poverty settles at the national minimum, recreation lands in the top 3.8% nationally, and modeled loneliness rests in the bottom 4.5% nationally. Modeled colon screening settles in the top 3.7% nationally, utility shutoff lands in the bottom 6.6% nationally, and cognitive disability rests in the bottom 4.7% nationally. Modeled tooth loss settles in the bottom 2.2% nationally. Unemployment lands at the national minimum, shared with about 15% of ZIPs. Pulling the other way, housing-cost burden rests in the top 1.1% nationally, and distance to an emergency room settles in the top 2.7% nationally.
Placed beside its immediate neighbors, park land runs far lower than the surrounding ZIPs on this measure. A healthier nearby ZIP overall is ZIP 11935, 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 New York-Newark-Jersey City, NY-NJ 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 66%
21%
Social Need / SDOH
healthier than 63%
16%
Environmental Hazard
healthier than 86%
14%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 80%
11%
Mental Health
healthier than 97%
8%
Disability
healthier than 87%
7%
Climate / Disaster RiskPartial
healthier than 89%
5%
Holding it back
Healthcare Access
healthier than 32%
5%
Lifting this score
Environmental Hazard
healthier than 93%
14%
Preventive Care
healthier than 87%
13%
Risk Behavior
healthier than 79%
11%
Mental Health
healthier than 87%
8%
Disability
healthier than 68%
7%
Climate / Disaster RiskPartial
healthier than 75%
5%
About typical
Chronic Disease Burden
healthier than 44%
21%
Social Need / SDOH
healthier than 57%
16%
Holding it back
Healthcare Access
healthier than 26%
5%
Lifting this score
Environmental Hazard
healthier than 98%
14%
Preventive Care
healthier than 90%
13%
Mental Health
healthier than 62%
8%
Climate / Disaster RiskPartial
healthier than 86%
5%
About typical
Risk Behavior
healthier than 59%
11%
Disability
healthier than 40%
7%
Holding it back
Chronic Disease Burden
healthier than 9%
21%
Social Need / SDOH
healthier than 31%
16%
Healthcare Access
healthier than 3%
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
11935
New Yorkshares a border
Score 65.75
Closest healthier
11971
New Yorkshares a border
Score 65.12
Similar health profile
11732
New York99% similar profile
Score 67.77
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 | 28.7% | 26.1–31.4 |
| High blood pressure among adults | 35.0% | 32.1–38.0 |
| Cancer (non-skin) or melanoma among adults | 11.6% | 10.5–12.8 |
| Current asthma among adults | 10.2% | 9.1–11.5 |
| Coronary heart disease among adults | 6.8% | 6.0–7.9 |
| Chronic obstructive pulmonary disease among adults | 6.1% | 4.9–7.5 |
| Depression among adults | 15.9% | 13.9–18.1 |
| Diagnosed diabetes among adults | 10.2% | 8.9–11.8 |
| High cholesterol among adults who have ever been screened | 43.5% | 40.6–46.5 |
| Obesity among adults | 28.3% | 24.8–32.2 |
| Stroke among adults | 3.3% | 2.9–3.8 |
| All teeth lost among adults aged >=65 years | 5.0% | 4.1–6.1 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 5.8% | 4.5–7.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 80.9% | 78.3–83.3 |
| Visits to doctor for routine checkup within the past year among adults | 83.7% | 81.5–85.7 |
| Cholesterol screening among adults | 92.6% | 91.3–93.7 |
| Colorectal cancer screening among adults aged 45–75 years | 74.6% | 71.7–77.6 |
| Visited dentist or dental clinic in the past year among adults | 70.2% | 67.7–72.6 |
| Mammography use among women aged 50-74 years | 78.2% | 73.3–82.7 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 15.5% | 13.5–17.7 |
| Current cigarette smoking among adults | 8.8% | 6.9–11.0 |
| No leisure-time physical activity among adults | 22.3% | 18.8–26.2 |
| Short sleep duration among adults | 36.3% | 33.2–39.7 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 14.5% | 12.0–17.3 |
| Frequent mental distress among adults | 13.1% | 11.5–14.9 |
| Frequent physical distress among adults | 12.1% | 10.4–14.0 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.9% | 8.4–11.6 |
| Any disability among adults | 26.3% | 22.8–30.1 |
| Hearing disability among adults | 6.4% | 5.6–7.4 |
| Independent living disability among adults | 6.1% | 5.0–7.2 |
| Mobility disability among adults | 12.7% | 10.5–15.3 |
| Self-care disability among adults | 2.9% | 2.4–3.5 |
| Vision disability among adults | 3.6% | 3.1–4.3 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 21.3% | 18.4–24.9 |
| Food insecurity in the past 12 months among adults | 8.9% | 7.1–11.3 |
| Received food stamps in the past 12 months among adults | 6.5% | 5.0–8.5 |
| Housing insecurity in the past 12 months among adults | 8.2% | 6.7–9.9 |
| Lack of reliable transportation in the past 12 months among adults | 5.0% | 4.2–6.0 |
| Loneliness among adults | 27.4% | 24.1–31.4 |
| Utility services shut-off threat in the past 12 months among adults | 4.4% | 3.7–5.3 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 18.4% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 13.7% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 46.5% | 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 | 95.6% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 62.2% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 69.6% | 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 | 21.3% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 49.8% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 18.6% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 47.0 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $1,039,900 | $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 | 81.8 yr ± 1.78 | 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 1.78 years of 81.8, 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