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ZipVitals

ZIP code

14467

in Henrietta, New YorkPopulation 10,168

64.39/ 100

Ranked #2,254 of 32,066 US ZIPs (top 7.1%)

Ranked #307 of 1,730 New York ZIPs (top 18%)

Ranked #12 of 101 Rochester, NY ZIPs (top 11.9%)

Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.

Robust across all 9 health domains

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.

Colon-cancer screening

74.2%

in the top 4.4% nationally

Higher is healthier

ST90th
US96th
Definition & source ›

The estimated share of adults aged 45–75 who are up to date on colorectal-cancer screening.

Full methodology ›

Cognitive disability

10.2%

in the bottom 5.9% nationally

Lower is healthier

ST19th
US6th
Definition & source ›

The estimated share of adults with serious difficulty concentrating, remembering, or making decisions.

Full methodology ›

Subsidized affordable housing

245 units

in the top 10.1% nationally

Higher is healthier

ST91st
US90th
Definition & source ›

The number of affordable rental units in this ZIP supported by the federal Low-Income Housing Tax Credit program.

Full methodology ›

Mental-health provider access

0.1 per 1,000 residents

in the top 10.3% nationally

Higher is healthier

ST92nd
US90th
Definition & source ›

The number of mental-health 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 ›

Mammography

80.6%

in the top 8.3% nationally

Higher is healthier

ST80th
US92nd
Definition & source ›

The estimated share of women aged 50–74 who had a mammogram within the past two years.

Full methodology ›

Fair or poor health

14.0%

in the bottom 9.5% nationally

Lower is healthier

ST19th
US9th
Definition & source ›

The estimated share of adults who rate their own general health as fair or poor.

Full methodology ›

Uninsured (under 65)

4.3%

in the bottom 3.3% nationally

Lower is healthier

ST13th
US3rd
Definition & source ›

The estimated share of adults aged 18–64 with no current health-insurance coverage.

Full methodology ›

Energy-cost burden

1.9%

in the bottom 11.7% nationally

Lower is healthier

ST7th
US12th
Definition & 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

By the composite health measure, Henrietta, New York (ZIP 14467) ranks in the top 7.1% healthiest ZIPs nationally (2,254th) and the top 18% of New York (307th).

continue reading

The measures that set this area apart are worth putting up front: modeled colon screening stands in the top 4.4% nationally, and cognitive disability lies in the bottom 5.9% nationally. Modeled extreme heat lands at the national minimum, shared with about 19% of ZIPs. Subsidized affordable housing sits in the top 10.1% nationally, mental-health providers is in the top 10.3% nationally, and modeled obesity settles in the bottom 12.4% nationally. Modeled mammography resides in the top 8.3% nationally, park land registers in the top 11.7% nationally, and modeled fair or poor health rests in the bottom 9.5% nationally. Modeled uninsured stands in the bottom 3.3% nationally.

Read against the ZIPs closest to it, park land runs far higher than the surrounding ZIPs on this measure. To spell things out, extreme heat is a modeled count of days a year reaching a dangerously high temperature, a leading weather hazard. Subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. Close by, ZIP 14472, just across the boundary, ranks healthier overall.

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.

Compare within

Lifting this score

Chronic Disease Burden

healthier than 74%

21%

Social Need / SDOH

healthier than 91%

16%

Environmental Hazard

healthier than 84%

14%

Preventive Care

healthier than 95%

13%

Risk Behavior

healthier than 76%

11%

Mental Health

healthier than 85%

8%

Disability

healthier than 88%

7%

Climate / Disaster Risk

healthier than 74%

5%

About typical

Healthcare Access

healthier than 51%

5%

Nothing measured is holding this score back.

Lifting this score

Social Need / SDOH

healthier than 89%

16%

Environmental Hazard

healthier than 90%

14%

Preventive Care

healthier than 79%

13%

Risk Behavior

healthier than 73%

11%

Disability

healthier than 71%

7%

About typical

Chronic Disease Burden

healthier than 55%

21%

Mental Health

healthier than 50%

8%

Healthcare Access

healthier than 41%

5%

Holding it back

Climate / Disaster Risk

healthier than 40%

5%

Lifting this score

Social Need / SDOH

healthier than 82%

16%

Environmental Hazard

healthier than 84%

14%

Preventive Care

healthier than 76%

13%

Risk Behavior

healthier than 80%

11%

Mental Health

healthier than 86%

8%

Disability

healthier than 71%

7%

About typical

Chronic Disease Burden

healthier than 57%

21%

Holding it back

Climate / Disaster Risk

healthier than 31%

5%

Healthcare Access

healthier than 31%

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 ›

Findings that name this ZIP

2 of our published findings list 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.

  • Above what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 84.0 ± 2.7 years. A median household income of $88,653 predicts 79.6 years — 4.4 years above.

    Ranked #127 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Above its nearby ZIPs

    The ZIP codes that outlive their neighbors

    Estimated life expectancy is 84.0 ± 2.7 years. The 49 nearest ZIP codes with estimates average 80.3 years — 3.7 years above them.

    Ranked #447 of the 3,687 ZIP codes this finding names, ordered by years above the nearby-ZIP average, highest first.

Nearby & similar ZIPs

Editorially selected — see how this ZIP compares to nearby and similar places.

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
MeasureCrude prevalence95% CI
Arthritis among adults28.2%25.4–31.0
High blood pressure among adults33.4%30.2–36.7
Cancer (non-skin) or melanoma among adults10.2%9.3–11.2
Current asthma among adults10.4%9.2–11.6
Coronary heart disease among adults6.3%5.6–7.1
Chronic obstructive pulmonary disease among adults5.7%5.0–6.6
Depression among adults21.0%18.3–23.9
Diagnosed diabetes among adults10.6%9.2–12.1
High cholesterol among adults who have ever been screened35.7%32.3–39.1
Obesity among adults28.4%24.3–32.9
Stroke among adults3.2%2.8–3.5
All teeth lost among adults aged >=65 years9.9%8.2–11.9
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years4.3%3.6–5.3
Taking medicine to control high blood pressure among adults with high blood pressure78.5%75.8–81.1
Visits to doctor for routine checkup within the past year among adults80.5%77.7–83.1
Cholesterol screening among adults90.7%89.4–91.9
Colorectal cancer screening among adults aged 45–75 years74.2%70.6–77.5
Visited dentist or dental clinic in the past year among adults70.1%67.2–72.7
Mammography use among women aged 50-74 years80.6%75.5–85.0
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults17.3%14.8–19.9
Current cigarette smoking among adults9.8%8.2–11.5
No leisure-time physical activity among adults22.5%19.4–26.0
Short sleep duration among adults34.0%30.2–37.8
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults14.0%12.2–16.2
Frequent mental distress among adults13.8%12.2–15.4
Frequent physical distress among adults12.2%10.7–13.8
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults10.2%9.0–11.6
Any disability among adults25.2%22.2–28.5
Hearing disability among adults5.9%5.2–6.7
Independent living disability among adults6.3%5.5–7.2
Mobility disability among adults11.6%10.1–13.4
Self-care disability among adults2.9%2.6–3.3
Vision disability among adults3.7%3.3–4.2
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults21.5%18.5–24.7
Food insecurity in the past 12 months among adults9.3%7.8–11.1
Received food stamps in the past 12 months among adults8.1%6.7–9.6
Housing insecurity in the past 12 months among adults8.8%7.5–10.3
Lack of reliable transportation in the past 12 months among adults5.8%5.0–6.6
Loneliness among adults30.9%26.8–35.0
Utility services shut-off threat in the past 12 months among adults5.4%4.6–6.2
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)NY median (p10–p90)
Poverty rate8.0%10.6% (3.1–25.8%) n=32,3649.5% (2.5–22.6%) n=1,734
Uninsured 18–642.5%9.0% (1.5–24.3%) n=32,2865.0% (0.0–13.1%) n=1,734
No HS diploma (25+)4.4%7.9% (1.8–20.7%) n=32,5057.1% (1.2–17.5%) n=1,743
Bachelor's or higher (25+)45.0%23.3% (9.2–53.6%) n=32,50531.8% (13.9–62.1%) n=1,743
Unemployment rate (16+)1.1%3.9% (0.0–9.8%) n=32,2744.4% (0.0–9.7%) n=1,730
Households without a vehicle8.3%3.9% (0.0–12.5%) n=32,3225.7% (0.0–28.9%) n=1,730
Broadband subscription88.0%89.3% (75.1–97.1%) n=32,32291.5% (81.1–98.3%) n=1,730
Housing cost burden (≥30% income)28.1%23.7% (10.6–40.0%) n=32,32227.2% (14.2–45.5%) n=1,730
Homeownership rate69.6%78.7% (51.7–94.0%) n=32,32280.2% (40.9–94.8%) n=1,730
Crowded housing (>1 per room)2.4%1.3% (0.0–6.3%) n=32,3221.0% (0.0–6.6%) n=1,730
Foreign-born population11.0%2.6% (0.0–18.6%) n=32,5534.8% (0.0–28.7%) n=1,746
Single-parent households51.6%53.6% (37.3–74.1%) n=32,08754.0% (36.7–74.5%) n=1,716
Population 65+27.3%19.4% (10.8–33.6%) n=32,55320.0% (12.0–33.2%) n=1,746
Median age47.0 yr42.2 yr (33.0–56.3) n=32,29243.5 yr (34.6–56.1) n=1,733
Median household income$88,653$72,070 ($46,039–$118,707) n=30,318$81,837 ($55,470–$145,610) n=1,626
Median home value$225,100$222,200 ($100,300–$579,820) n=30,049$247,700 ($121,180–$801,380) n=1,629
Median gross rent$1,175$1,021 ($677–$1,912) n=25,670$1,162 ($782–$2,359) n=1,367
Life expectancyNCHS / RWJF USALEEP · model-based
MeasureValueUS median (p10–p90)NY median (p10–p90)
Life expectancy at birth84.0 yr ± 1.3978.9 yr (74.7–82.8) n=31,30880.9 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 1.39 years of 84.0, and it’s very unlikely to be off by more than twice that.

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