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ZipVitals

ZIP code

14608

in Rochester, New YorkPopulation 12,792

36.49/ 100

Ranked #28,764 of 32,066 US ZIPs (bottom 10.3%)

Ranked #1,716 of 1,730 New York ZIPs (bottom 0.9%)

Ranked #97 of 101 Rochester, NY ZIPs (bottom 4.0%)

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.

Tooth loss

32.4%

in the top 2.0% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

The estimated share of adults aged 65 and older who have lost all of their natural teeth.

Full methodology ›

Short sleep

46.2%

in the top 1.9% nationally

Lower is healthier

ST98th
US98th
Definition & source ›

The estimated share of adults who usually sleep less than seven hours in a 24-hour period.

Full methodology ›

Walkability

250 intersections/sq mi

in the top 1.3% nationally

Higher is healthier

ST97th
US99th
Definition & source ›

The number of street intersections per square mile — a standard street-connectivity measure; denser networks correlate with more walkable neighborhoods.

Full methodology ›

Self-care disability

7.7%

in the top 3.6% nationally

Lower is healthier

ST99th
US96th
Definition & source ›

The estimated share of adults with difficulty dressing or bathing.

Full methodology ›

Housing insecurity

30.2%

in the top 1.6% nationally

Lower is healthier

ST98th
US98th
Definition & source ›

The estimated share of adults who experienced housing insecurity in the past 12 months.

Full methodology ›

Utility shut-off threat

22%

in the top 1.7% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

The estimated share of adults whose household was threatened with a utility shut-off in the past 12 months.

Full methodology ›

Vision disability

10.3%

in the top 4.3% nationally

Lower is healthier

ST98th
US96th
Definition & source ›

The estimated share of adults who are blind or have serious difficulty seeing even with glasses.

Full methodology ›

Transit access

8.1 per 1,000 residents

in the top 2.0% nationally

Higher is healthier

ST97th
US98th
Definition & source ›

The number of public-transit stops 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 ›

Homeownership rate

22%

in the bottom 2.2% nationally

Higher is healthier

ST4th
US2nd
Definition & source ›

The share of occupied homes that are owned, rather than rented, by the people living in them.

Full methodology ›

Lack of transportation

19.9%

in the top 2.3% nationally

Lower is healthier

ST99th
US98th
Definition & source ›

The estimated share of adults who lacked reliable transportation in the past 12 months.

Full methodology ›

The read

On the composite measure, ZIP 14608, one of several in Rochester, New York stands in the bottom 10.3% nationally (28,764th) and the bottom 0.9% of New York (1,716th).

continue reading

The weightiest signals in the profile are worth naming up front: modeled tooth loss resides in the top 2.0% nationally, and short sleep stands in the top 1.9% nationally. Modeled self-care disability sits in the top 3.6% nationally, and housing insecurity resides in the top 1.6% nationally. Modeled utility shutoff stands in the top 1.7% nationally, modeled vision disability sits in the top 4.3% nationally, and homeownership resides in the bottom 2.2% nationally. Modeled transportation stands in the top 2.3% nationally. More positively, walkability sits in the top 1.3% nationally, and transit resides in the top 2.0% nationally.

Set beside the wider area around it, walkability runs far higher than the surrounding ZIPs on this measure. ZIP 14604, 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.

Compare within

Lifting this score

Climate / Disaster Risk

healthier than 82%

5%

Healthcare Access

healthier than 90%

5%

Holding it back

Chronic Disease Burden

healthier than 27%

21%

Social Need / SDOH

healthier than 3%

16%

Environmental Hazard

healthier than 13%

14%

Preventive Care

healthier than 18%

13%

Risk Behavior

healthier than 2%

11%

Mental Health

healthier than 27%

8%

Disability

healthier than 10%

7%

Lifting this score

Healthcare Access

healthier than 90%

5%

About typical

Climate / Disaster Risk

healthier than 55%

5%

Holding it back

Chronic Disease Burden

healthier than 8%

21%

Social Need / SDOH

healthier than 2%

16%

Environmental Hazard

healthier than 5%

14%

Preventive Care

healthier than 5%

13%

Risk Behavior

healthier than 1%

11%

Mental Health

healthier than 3%

8%

Disability

healthier than 2%

7%

Lifting this score

Healthcare Access

healthier than 88%

5%

About typical

Climate / Disaster Risk

healthier than 53%

5%

Holding it back

Chronic Disease Burden

healthier than 8%

21%

Social Need / SDOH

healthier than 8%

16%

Environmental Hazard

healthier than 12%

14%

Preventive Care

healthier than 10%

13%

Risk Behavior

healthier than 10%

11%

Mental Health

healthier than 10%

8%

Disability

healthier than 8%

7%

“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.

  • Below what income predicts

    The ZIP codes that outlive their incomes

    Estimated life expectancy is 74.7 ± 1.3 years. A median household income of $40,646 predicts 76.5 years — 1.8 years below.

    Ranked #2,331 of the 5,842 ZIP codes this finding names, ordered by years above what income predicts, highest first.

  • Below its nearby ZIPs

    The ZIP codes that outlive their neighbors

    Estimated life expectancy is 74.7 ± 1.3 years. The 48 nearest ZIP codes with estimates average 80.4 years — 5.7 years below them.

    Ranked #3,505 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 adults26.1%23.7–28.7
High blood pressure among adults39.6%36.4–42.7
Cancer (non-skin) or melanoma among adults4.9%4.4–5.4
Current asthma among adults13.1%11.7–14.6
Coronary heart disease among adults7.1%6.4–7.8
Chronic obstructive pulmonary disease among adults9.0%8.2–10.0
Depression among adults22.1%19.4–25.1
Diagnosed diabetes among adults17.0%15.2–18.9
High cholesterol among adults who have ever been screened31.6%28.5–34.9
Obesity among adults41.9%37.0–47.0
Stroke among adults4.9%4.6–5.3
All teeth lost among adults aged >=65 years32.4%28.3–36.8
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years12.0%10.3–13.6
Taking medicine to control high blood pressure among adults with high blood pressure74.8%72.2–77.2
Visits to doctor for routine checkup within the past year among adults78.6%75.6–81.3
Cholesterol screening among adults83.8%81.9–85.5
Colorectal cancer screening among adults aged 45–75 years59.3%55.0–63.4
Visited dentist or dental clinic in the past year among adults45.8%42.6–48.8
Mammography use among women aged 50-74 years75.9%70.0–81.1
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults14.7%12.5–17.1
Current cigarette smoking among adults20.1%17.9–22.6
No leisure-time physical activity among adults39.6%35.5–43.5
Short sleep duration among adults46.2%42.0–50.3
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults29.4%26.7–32.3
Frequent mental distress among adults20.3%18.3–22.5
Frequent physical distress among adults17.6%15.8–19.5
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults18.9%17.1–20.9
Any disability among adults37.4%33.8–41.0
Hearing disability among adults5.2%4.7–5.9
Independent living disability among adults13.6%12.4–15.0
Mobility disability among adults19.6%17.7–21.7
Self-care disability among adults7.7%7.1–8.4
Vision disability among adults10.3%9.5–11.2
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults31.8%28.0–35.5
Food insecurity in the past 12 months among adults37.3%34.0–40.8
Received food stamps in the past 12 months among adults40.5%37.5–43.7
Housing insecurity in the past 12 months among adults30.2%27.2–33.2
Lack of reliable transportation in the past 12 months among adults19.9%17.9–21.9
Loneliness among adults38.9%34.4–43.2
Utility services shut-off threat in the past 12 months among adults22.0%19.8–24.3
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)NY median (p10–p90)
Poverty rate36.4%10.6% (3.1–25.8%) n=32,3649.5% (2.5–22.6%) n=1,734
Uninsured 18–646.1%9.0% (1.5–24.3%) n=32,2865.0% (0.0–13.1%) n=1,734
No HS diploma (25+)17.6%7.9% (1.8–20.7%) n=32,5057.1% (1.2–17.5%) n=1,743
Bachelor's or higher (25+)22.8%23.3% (9.2–53.6%) n=32,50531.8% (13.9–62.1%) n=1,743
Unemployment rate (16+)13.0%3.9% (0.0–9.8%) n=32,2744.4% (0.0–9.7%) n=1,730
Households without a vehicle29.0%3.9% (0.0–12.5%) n=32,3225.7% (0.0–28.9%) n=1,730
Broadband subscription84.5%89.3% (75.1–97.1%) n=32,32291.5% (81.1–98.3%) n=1,730
Housing cost burden (≥30% income)46.6%23.7% (10.6–40.0%) n=32,32227.2% (14.2–45.5%) n=1,730
Homeownership rate22.0%78.7% (51.7–94.0%) n=32,32280.2% (40.9–94.8%) n=1,730
Crowded housing (>1 per room)3.2%1.3% (0.0–6.3%) n=32,3221.0% (0.0–6.6%) n=1,730
Foreign-born population8.7%2.6% (0.0–18.6%) n=32,5534.8% (0.0–28.7%) n=1,746
Single-parent households19.6%53.6% (37.3–74.1%) n=32,08754.0% (36.7–74.5%) n=1,716
Population 65+10.6%19.4% (10.8–33.6%) n=32,55320.0% (12.0–33.2%) n=1,746
Median age33.3 yr42.2 yr (33.0–56.3) n=32,29243.5 yr (34.6–56.1) n=1,733
Median household income$40,646$72,070 ($46,039–$118,707) n=30,318$81,837 ($55,470–$145,610) n=1,626
Median home value$187,000$222,200 ($100,300–$579,820) n=30,049$247,700 ($121,180–$801,380) n=1,629
Median gross rent$990$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 birth74.7 yr ± 0.6678.9 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 0.66 years of 74.7, 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