ZIP code
12967
in North Lawrence, New YorkPopulation 1,263
48.80/ 100
Ranked #17,926 of 32,066 US ZIPs (bottom 44%)
Ranked #1,513 of 1,730 New York ZIPs (bottom 12.6%)
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.
Grocery access
0.87 per 1,000 residents
in the top 0.5% nationally
Higher is healthier
ST99thUS99thDefinition & source ›
The number of full supermarkets 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. ZipVitals’s food-access signal is derived from these in-ZIP densities — it is not USDA’s food-desert designation, which measures distance to the nearest supermarket. Where a leg is missing, a ZIP reads “not determinable,” never “not a food desert.”
Full methodology ›Natural-disaster risk
in the bottom 4.6% nationally
Lower is healthier
ST8thUS5thDefinition & 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 ›Crowded housing
8.9%
in the top 5.7% nationally
Lower is healthier
ST94thUS94thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›Walkability
1.7 intersections/sq mi
in the bottom 5.9% nationally
Higher is healthier
ST5thUS6thDefinition & source ›
The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.
Full methodology ›Distance to a nursing home
11.1 mi
in the top 9.2% nationally
Lower is healthier
ST93rdUS91stDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest Medicare- or Medicaid-certified nursing home.
Full methodology ›Home broadband subscription
76.3%
in the bottom 11.4% nationally
Higher is healthier
ST5thUS11thDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Obesity
42.7%
in the top 10.2% nationally
Lower is healthier
ST97thUS90thDefinition & source ›
The estimated share of adults with obesity, defined as a body-mass index of 30 or higher.
Full methodology ›Distance to a community health center
14.2 mi
in the top 13.2% nationally
Lower is healthier
ST90thUS87thDefinition & source ›
The distance in miles from this ZIP’s edge to the nearest federally funded community health center, which serves patients regardless of ability to pay.
Full methodology ›Energy-cost burden
4.6%
in the top 14.4% nationally
Lower is healthier
ST94thUS86thDefinition & source ›
The modeled share of household income spent on home energy bills — electricity, gas, and heating fuels.
A modeled share of household income spent on home energy. Estimates that hit the model’s 100% ceiling are suppressed rather than published, because at that point the figure reflects the model’s limit rather than a measured burden.
Full methodology ›The read
Judged by its overall standing, North Lawrence, New York (ZIP 12967) sits in the bottom 44% nationally (17,926th) and the bottom 12.6% of New York (1,513th), based on limited data; treat as directional.
A demanding profile, and several measures drive it: crowded housing stands in the top 5.7% nationally, walkability resides in the bottom 5.9% nationally, and distance to a nursing home sits in the top 9.2% nationally. Home broadband subscription stands in the bottom 11.4% nationally, distance to a Superfund site resides in the bottom 12.4% nationally, and modeled obesity sits in the top 10.2% nationally. Distance to a community health center stands in the top 13.2% nationally. Distance to a hazardous-chemical facility resides at the national minimum, shared with about 31% of ZIPs. On the stronger side, grocery sits in the top 0.5% nationally, and modeled disaster risk stands in the bottom 4.6% nationally.
Placed beside its immediate neighbors, grocery runs far higher than the surrounding ZIPs on this measure. Put plainly, disaster risk is the area's national rank on its highest non-flood peril in FEMA's modeled Risk Index, like wildfire or quake. Distance to a Superfund site is an abandoned or uncontrolled hazardous-waste site the EPA has identified for cleanup. Distance to a hazardous-chemical facility is a plant handling large amounts of hazardous chemicals that must file an EPA risk-management plan for accidental releases. A healthier nearby ZIP overall is ZIP 12930, 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.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Lifting this score
Environmental Hazard
healthier than 86%
14%
Preventive Care
healthier than 76%
13%
Climate / Disaster RiskPartial
healthier than 93%
5%
About typical
Disability
healthier than 49%
7%
Holding it back
Chronic Disease Burden
healthier than 33%
21%
Social Need / SDOH
healthier than 18%
16%
Risk Behavior
healthier than 27%
11%
Mental Health
healthier than 38%
8%
Healthcare Access
healthier than 9%
5%
Lifting this score
Environmental Hazard
healthier than 92%
14%
Climate / Disaster RiskPartial
healthier than 88%
5%
Holding it back
Chronic Disease Burden
healthier than 10%
21%
Social Need / SDOH
healthier than 16%
16%
Preventive Care
healthier than 34%
13%
Risk Behavior
healthier than 17%
11%
Mental Health
healthier than 6%
8%
Disability
healthier than 18%
7%
Healthcare Access
healthier than 9%
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
12916
New Yorkshares a border
Score 46.61
Closest healthier
12930
New Yorkshares a border
Score 52.87
Similar health profile
13471
New York97% similar profile
Score 48.73
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 | 31.3% | 28.2–34.4 |
| High blood pressure among adults | 38.3% | 34.6–41.8 |
| Cancer (non-skin) or melanoma among adults | 9.9% | 8.9–11.0 |
| Current asthma among adults | 11.9% | 10.5–13.3 |
| Coronary heart disease among adults | 7.7% | 6.8–8.8 |
| Chronic obstructive pulmonary disease among adults | 9.0% | 7.4–10.7 |
| Depression among adults | 23.6% | 20.4–26.8 |
| Diagnosed diabetes among adults | 12.3% | 10.6–14.1 |
| High cholesterol among adults who have ever been screened | 38.1% | 34.5–41.6 |
| Obesity among adults | 42.7% | 37.2–48.0 |
| Stroke among adults | 4.0% | 3.5–4.5 |
| All teeth lost among adults aged >=65 years | 14.0% | 11.7–17.0 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 6.1% | 4.5–8.1 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 78.4% | 75.5–81.0 |
| Visits to doctor for routine checkup within the past year among adults | 82.0% | 79.2–84.6 |
| Cholesterol screening among adults | 88.4% | 86.4–90.1 |
| Colorectal cancer screening among adults aged 45–75 years | 66.9% | 62.8–71.0 |
| Visited dentist or dental clinic in the past year among adults | 60.2% | 57.0–63.4 |
| Mammography use among women aged 50-74 years | 77.9% | 72.2–83.2 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 18.1% | 15.4–21.0 |
| Current cigarette smoking among adults | 16.1% | 13.2–19.4 |
| No leisure-time physical activity among adults | 28.6% | 24.2–33.5 |
| Short sleep duration among adults | 36.0% | 31.7–40.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 19.5% | 16.4–23.0 |
| Frequent mental distress among adults | 17.8% | 15.6–20.1 |
| Frequent physical distress among adults | 15.3% | 13.3–17.6 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 14.4% | 12.4–16.8 |
| Any disability among adults | 32.0% | 27.8–36.5 |
| Hearing disability among adults | 7.5% | 6.6–8.6 |
| Independent living disability among adults | 9.1% | 7.8–10.7 |
| Mobility disability among adults | 15.2% | 12.8–17.8 |
| Self-care disability among adults | 4.3% | 3.6–5.0 |
| Vision disability among adults | 5.2% | 4.4–6.1 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 24.0% | 20.4–27.6 |
| Food insecurity in the past 12 months among adults | 14.2% | 11.1–17.5 |
| Received food stamps in the past 12 months among adults | 14.7% | 11.4–18.0 |
| Housing insecurity in the past 12 months among adults | 12.1% | 9.8–14.5 |
| Lack of reliable transportation in the past 12 months among adults | 8.0% | 6.6–9.4 |
| Loneliness among adults | 33.4% | 28.9–37.9 |
| Utility services shut-off threat in the past 12 months among adults | 7.6% | 6.3–8.9 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 11.5% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 14.1% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 7.9% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 17.7% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 0.9% | 3.9% (0.0–9.8%) n=32,274 | 4.4% (0.0–9.7%) n=1,730 |
| Households without a vehicle | 9.6% | 3.9% (0.0–12.5%) n=32,322 | 5.7% (0.0–28.9%) n=1,730 |
| Broadband subscription | 76.3% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 21.6% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 86.8% | 78.7% (51.7–94.0%) n=32,322 | 80.2% (40.9–94.8%) n=1,730 |
| Crowded housing (>1 per room) | 8.9% | 1.3% (0.0–6.3%) n=32,322 | 1.0% (0.0–6.6%) n=1,730 |
| Foreign-born population | 0.6% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 58.3% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 11.1% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 29.4 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $75,781 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $89,000 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $838 | $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 | 84.7 yr ± 2.99 | 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 2.99 years of 84.7, 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