ZIP code
14543
in Rush, New YorkPopulation 3,717
64.90/ 100
Ranked #2,041 of 32,066 US ZIPs (top 6.4%)
Ranked #290 of 1,730 New York ZIPs (top 17%)
Ranked #11 of 101 Rochester, NY ZIPs (top 10.9%)
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.
Mammography
83.4%
in the top 1.9% nationally
Higher is healthier
ST99thUS98thDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Colon-cancer screening
75.4%
in the top 2.5% nationally
Higher is healthier
ST95thUS98thDefinition & source ›
The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.
Full methodology ›Food insecurity
7.7%
in the bottom 6.2% nationally
Lower is healthier
ST8thUS6thDefinition & source ›
The estimated share of adults who experienced food insecurity in the past 12 months.
Full methodology ›Cognitive disability
9.7%
in the bottom 4.0% nationally
Lower is healthier
ST14thUS4thDefinition & source ›
The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.
Full methodology ›Lack of transportation
4.9%
in the bottom 6.7% nationally
Lower is healthier
ST10thUS7thDefinition & source ›
The estimated share of adults who lacked reliable transportation in the past 12 months.
Full methodology ›Outer-floodplain exposure
4.5%
in the top 8.0% nationally
Lower is healthier
ST90thUS92ndDefinition & source ›
The share of this ZIP’s land area inside FEMA’s 0.2%-annual-chance flood band — the “500-year” zone, a lower but real 1-in-500 yearly chance.
Measured from FEMA’s mapped flood panels. Where a panel has not been mapped, no value is published for that ZIP — those ZIPs are absent from this comparison rather than counted as unexposed.
Full methodology ›Home broadband subscription
97.3%
in the top 9.2% nationally
Higher is healthier
ST87thUS91stDefinition & source ›
The share of households with a broadband internet subscription.
Full methodology ›Median household income
$122,654
in the top 8.8% nationally
Higher is healthier
ST82ndUS91stDefinition & source ›
The middle household income in this ZIP — half of households earn more, half earn less — in dollars per year.
Full methodology ›Utility shut-off threat
4.7%
in the bottom 9.7% nationally
Lower is healthier
ST14thUS10thDefinition & source ›
The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.
Full methodology ›Fair or poor health
13.5%
in the bottom 7.6% nationally
Lower is healthier
ST16thUS8thDefinition & source ›
The estimated share of adults who rate their own general health as fair or poor.
Full methodology ›The read
On the composite measure, Rush, New York (ZIP 14543) stands in the top 6.4% healthiest ZIPs nationally (2,041st) and the top 17% of New York (290th).
Several of the strongest readings define how this area looks: modeled mammography sits in the top 1.9% nationally, and colon screening resides in the top 2.5% nationally. Modeled food insecurity stands in the bottom 6.2% nationally, and cognitive disability sits in the bottom 4.0% nationally. Modeled transportation resides in the bottom 6.7% nationally. Households without a vehicle stands at the national minimum, shared with about 16% of ZIPs. Home broadband subscription sits in the top 9.2% nationally, and household income resides in the top 8.8% nationally. Modeled extreme heat stands at the national minimum, shared with about 19% of ZIPs. On the other hand, outer-floodplain exposure sits in the top 8.0% nationally.
Set beside the wider area around it, outer-floodplain exposure runs far higher than the surrounding ZIPs on this measure. For clarity, outer-floodplain exposure is land with a lower but real 1-in-500 chance of flooding each year, nicknamed the "500-year floodplain". Extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. ZIP 14472, 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 Rochester, 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 69%
21%
Social Need / SDOH
healthier than 93%
16%
Environmental Hazard
healthier than 69%
14%
Preventive Care
healthier than 98%
13%
Risk Behavior
healthier than 83%
11%
Mental Health
healthier than 84%
8%
Disability
healthier than 90%
7%
Climate / Disaster Risk
healthier than 62%
5%
About typical
Healthcare Access
healthier than 42%
5%
Nothing measured is holding this score back.
Lifting this score
Social Need / SDOH
healthier than 91%
16%
Environmental Hazard
healthier than 68%
14%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 82%
11%
Disability
healthier than 76%
7%
About typical
Chronic Disease Burden
healthier than 48%
21%
Mental Health
healthier than 49%
8%
Holding it back
Climate / Disaster Risk
healthier than 25%
5%
Healthcare Access
healthier than 33%
5%
Lifting this score
Social Need / SDOH
healthier than 88%
16%
Environmental Hazard
healthier than 63%
14%
Preventive Care
healthier than 96%
13%
Risk Behavior
healthier than 88%
11%
Mental Health
healthier than 84%
8%
Disability
healthier than 84%
7%
About typical
Chronic Disease Burden
healthier than 49%
21%
Holding it back
Climate / Disaster Risk
healthier than 20%
5%
Healthcare Access
healthier than 18%
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
14414
New Yorkshares a border
Score 60.43
Closest healthier
14472
New Yorkshares a border
Score 67.30
Similar health profile
53523
Wisconsin99% similar profile
Score 58.86
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 | 30.6% | 27.4–33.9 |
| High blood pressure among adults | 34.4% | 30.8–38.1 |
| Cancer (non-skin) or melanoma among adults | 11.3% | 10.2–12.5 |
| Current asthma among adults | 10.6% | 9.4–12.0 |
| Coronary heart disease among adults | 6.4% | 5.5–7.4 |
| Chronic obstructive pulmonary disease among adults | 6.0% | 4.7–7.3 |
| Depression among adults | 21.8% | 19.0–24.8 |
| Diagnosed diabetes among adults | 10.6% | 8.9–12.3 |
| High cholesterol among adults who have ever been screened | 37.6% | 34.1–41.3 |
| Obesity among adults | 29.0% | 24.5–33.7 |
| Stroke among adults | 3.1% | 2.7–3.6 |
| All teeth lost among adults aged >=65 years | 7.2% | 5.9–8.7 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 3.6% | 2.8–4.7 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 79.7% | 76.7–82.5 |
| Visits to doctor for routine checkup within the past year among adults | 81.8% | 79.3–84.4 |
| Cholesterol screening among adults | 92.4% | 91.1–93.6 |
| Colorectal cancer screening among adults aged 45–75 years | 75.4% | 71.9–78.7 |
| Visited dentist or dental clinic in the past year among adults | 74.8% | 72.1–77.1 |
| Mammography use among women aged 50-74 years | 83.4% | 78.7–87.4 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 17.1% | 14.7–19.9 |
| Current cigarette smoking among adults | 10.0% | 7.7–12.6 |
| No leisure-time physical activity among adults | 21.5% | 17.6–25.7 |
| Short sleep duration among adults | 31.9% | 28.2–35.6 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 13.5% | 11.1–16.3 |
| Frequent mental distress among adults | 13.3% | 11.5–15.3 |
| Frequent physical distress among adults | 12.5% | 10.6–14.5 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 9.7% | 8.1–11.4 |
| Any disability among adults | 24.5% | 20.9–28.3 |
| Hearing disability among adults | 5.9% | 5.1–6.8 |
| Independent living disability among adults | 6.0% | 5.0–7.1 |
| Mobility disability among adults | 11.6% | 9.5–13.9 |
| Self-care disability among adults | 2.9% | 2.4–3.4 |
| Vision disability among adults | 3.4% | 2.9–4.0 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 19.7% | 16.7–23.1 |
| Food insecurity in the past 12 months among adults | 7.7% | 6.0–9.9 |
| Received food stamps in the past 12 months among adults | 6.8% | 5.1–8.9 |
| Housing insecurity in the past 12 months among adults | 7.5% | 6.0–9.2 |
| Lack of reliable transportation in the past 12 months among adults | 4.9% | 4.1–5.9 |
| Loneliness among adults | 29.2% | 25.1–33.5 |
| Utility services shut-off threat in the past 12 months among adults | 4.7% | 3.8–5.6 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | NY median (p10–p90) |
|---|---|---|---|
| Poverty rate | 3.4% | 10.6% (3.1–25.8%) n=32,364 | 9.5% (2.5–22.6%) n=1,734 |
| Uninsured 18–64 | 1.0% | 9.0% (1.5–24.3%) n=32,286 | 5.0% (0.0–13.1%) n=1,734 |
| No HS diploma (25+) | 2.0% | 7.9% (1.8–20.7%) n=32,505 | 7.1% (1.2–17.5%) n=1,743 |
| Bachelor's or higher (25+) | 41.0% | 23.3% (9.2–53.6%) n=32,505 | 31.8% (13.9–62.1%) n=1,743 |
| Unemployment rate (16+) | 1.8% | 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 | 97.3% | 89.3% (75.1–97.1%) n=32,322 | 91.5% (81.1–98.3%) n=1,730 |
| Housing cost burden (≥30% income) | 15.4% | 23.7% (10.6–40.0%) n=32,322 | 27.2% (14.2–45.5%) n=1,730 |
| Homeownership rate | 91.2% | 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 | 5.4% | 2.6% (0.0–18.6%) n=32,553 | 4.8% (0.0–28.7%) n=1,746 |
| Single-parent households | 65.7% | 53.6% (37.3–74.1%) n=32,087 | 54.0% (36.7–74.5%) n=1,716 |
| Population 65+ | 32.1% | 19.4% (10.8–33.6%) n=32,553 | 20.0% (12.0–33.2%) n=1,746 |
| Median age | 50.9 yr | 42.2 yr (33.0–56.3) n=32,292 | 43.5 yr (34.6–56.1) n=1,733 |
| Median household income | $122,654 | $72,070 ($46,039–$118,707) n=30,318 | $81,837 ($55,470–$145,610) n=1,626 |
| Median home value | $255,900 | $222,200 ($100,300–$579,820) n=30,049 | $247,700 ($121,180–$801,380) n=1,629 |
| Median gross rent | $1,294 | $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 | 85.4 yr ± 2.02 | 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 2.02 years of 85.4, 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