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ZipVitals

ZIP code

14207

in Buffalo, New YorkPopulation 26,327

39.47/ 100

Ranked #27,100 of 32,066 US ZIPs (bottom 15%)

Ranked #1,708 of 1,730 New York ZIPs (bottom 1.3%)

Ranked #81 of 86 Buffalo-Cheektowaga, NY ZIPs (bottom 5.9%)

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.

Tooth loss

28.2%

in the top 4.3% nationally

Lower is healthier

ST99th
US96th
Definition & source ›

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

Full methodology ›

Short sleep

45.1%

in the top 3.0% nationally

Lower is healthier

ST97th
US97th
Definition & source ›

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

Full methodology ›

Transit access

7.2 per 1,000 residents

in the top 2.5% 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 ›

Households without a vehicle

27.8%

in the top 2.7% nationally

Lower is healthier

ST89th
US97th
Definition & source ›

The share of households with no vehicle available.

Full methodology ›

Subsidized affordable housing

591 units

in the top 3.6% nationally

Higher is healthier

ST95th
US96th
Definition & source ›

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

Full methodology ›

Housing insecurity

25.5%

in the top 3.7% nationally

Lower is healthier

ST97th
US96th
Definition & source ›

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

Full methodology ›

Colon-cancer screening

55.1%

in the bottom 5.0% nationally

Higher is healthier

ST1st
US5th
Definition & source ›

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

Full methodology ›

Homeownership rate

35%

in the bottom 4.1% nationally

Higher is healthier

ST8th
US4th
Definition & source ›

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

Full methodology ›

Utility shut-off threat

17.4%

in the top 4.3% nationally

Lower is healthier

ST98th
US96th
Definition & source ›

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

Full methodology ›

Lack of transportation

16.7%

in the top 4.4% nationally

Lower is healthier

ST98th
US96th
Definition & source ›

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

Full methodology ›

The read

In its overall standing, ZIP 14207, one of several in Buffalo, New York lands in the bottom 15% nationally (27,100th) and the bottom 1.3% of New York (1,708th).

continue reading

Several serious readings shape the profile and deserve first mention: modeled tooth loss lands in the top 4.3% nationally, modeled short sleep lies in the top 3.0% nationally, and households without a vehicle stands in the top 2.7% nationally. Modeled housing insecurity rests in the top 3.7% nationally, modeled colon screening registers in the bottom 5.0% nationally, and homeownership resides in the bottom 4.1% nationally. Modeled utility shutoff settles in the top 4.3% nationally, and transportation is in the top 4.4% nationally. On the better side, transit sits in the top 2.5% nationally, and subsidized affordable housing lands in the top 3.6% nationally.

Against the wider neighborhood, park land runs far lower than the surrounding ZIPs on this measure. Put simply, subsidized affordable housing is the main federal tax-credit program (HUD) funding affordable rental housing, counted as local units it supports. On the overall standing, ZIP 14150, just across the boundary, ranks healthier.

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 Buffalo-Cheektowaga, 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 85%

5%

Healthcare Access

healthier than 84%

5%

About typical

Chronic Disease Burden

healthier than 42%

21%

Environmental Hazard

healthier than 47%

14%

Holding it back

Social Need / SDOH

healthier than 3%

16%

Preventive Care

healthier than 12%

13%

Risk Behavior

healthier than 2%

11%

Mental Health

healthier than 28%

8%

Disability

healthier than 17%

7%

Lifting this score

Healthcare Access

healthier than 79%

5%

About typical

Climate / Disaster Risk

healthier than 60%

5%

Holding it back

Chronic Disease Burden

healthier than 16%

21%

Social Need / SDOH

healthier than 3%

16%

Environmental Hazard

healthier than 37%

14%

Preventive Care

healthier than 3%

13%

Risk Behavior

healthier than 1%

11%

Mental Health

healthier than 3%

8%

Disability

healthier than 3%

7%

Lifting this score

Healthcare Access

healthier than 77%

5%

About typical

Climate / Disaster Risk

healthier than 45%

5%

Holding it back

Chronic Disease Burden

healthier than 19%

21%

Social Need / SDOH

healthier than 4%

16%

Environmental Hazard

healthier than 27%

14%

Preventive Care

healthier than 1%

13%

Risk Behavior

healthier than 5%

11%

Mental Health

healthier than 4%

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 73.9 ± 1.6 years. A median household income of $39,753 predicts 76.4 years — 2.5 years below.

    Ranked #3,428 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 73.9 ± 1.6 years. The 44 nearest ZIP codes with estimates average 77.7 years — 3.7 years below them.

    Ranked #2,872 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 adults25.2%22.9–27.6
High blood pressure among adults34.0%31.1–37.0
Cancer (non-skin) or melanoma among adults5.5%4.9–6.0
Current asthma among adults12.4%11.1–13.8
Coronary heart disease among adults6.8%6.2–7.5
Chronic obstructive pulmonary disease among adults9.3%8.3–10.3
Depression among adults21.7%19.0–24.4
Diagnosed diabetes among adults14.0%12.3–15.6
High cholesterol among adults who have ever been screened35.1%32.1–38.2
Obesity among adults39.2%34.7–43.5
Stroke among adults4.0%3.7–4.4
All teeth lost among adults aged >=65 years28.2%24.4–32.0
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years13.0%11.3–14.7
Taking medicine to control high blood pressure among adults with high blood pressure74.2%71.1–76.8
Visits to doctor for routine checkup within the past year among adults80.0%76.9–82.6
Cholesterol screening among adults82.5%80.4–84.3
Colorectal cancer screening among adults aged 45–75 years55.1%51.0–59.1
Visited dentist or dental clinic in the past year among adults44.5%41.5–47.5
Mammography use among women aged 50-74 years73.7%67.8–78.9
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults15.7%13.2–18.2
Current cigarette smoking among adults20.4%17.9–22.9
No leisure-time physical activity among adults37.5%33.6–41.4
Short sleep duration among adults45.1%41.2–49.0
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults28.2%25.5–31.1
Frequent mental distress among adults20.4%18.4–22.5
Frequent physical distress among adults17.2%15.4–19.1
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults18.1%16.2–20.0
Any disability among adults32.9%29.5–36.3
Hearing disability among adults6.2%5.5–6.9
Independent living disability among adults12.7%11.5–14.0
Mobility disability among adults17.3%15.5–19.3
Self-care disability among adults6.5%5.9–7.0
Vision disability among adults9.0%8.2–9.8
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults29.6%26.3–33.2
Food insecurity in the past 12 months among adults33.1%29.9–36.3
Received food stamps in the past 12 months among adults33.8%30.9–36.9
Housing insecurity in the past 12 months among adults25.5%22.8–28.2
Lack of reliable transportation in the past 12 months among adults16.7%15.0–18.5
Loneliness among adults35.3%31.4–39.5
Utility services shut-off threat in the past 12 months among adults17.4%15.5–19.4
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)NY median (p10–p90)
Poverty rate32.3%10.6% (3.1–25.8%) n=32,3649.5% (2.5–22.6%) n=1,734
Uninsured 18–648.8%9.0% (1.5–24.3%) n=32,2865.0% (0.0–13.1%) n=1,734
No HS diploma (25+)20.6%7.9% (1.8–20.7%) n=32,5057.1% (1.2–17.5%) n=1,743
Bachelor's or higher (25+)18.9%23.3% (9.2–53.6%) n=32,50531.8% (13.9–62.1%) n=1,743
Unemployment rate (16+)7.0%3.9% (0.0–9.8%) n=32,2744.4% (0.0–9.7%) n=1,730
Households without a vehicle27.8%3.9% (0.0–12.5%) n=32,3225.7% (0.0–28.9%) n=1,730
Broadband subscription90.9%89.3% (75.1–97.1%) n=32,32291.5% (81.1–98.3%) n=1,730
Housing cost burden (≥30% income)39.7%23.7% (10.6–40.0%) n=32,32227.2% (14.2–45.5%) n=1,730
Homeownership rate35.0%78.7% (51.7–94.0%) n=32,32280.2% (40.9–94.8%) n=1,730
Crowded housing (>1 per room)3.8%1.3% (0.0–6.3%) n=32,3221.0% (0.0–6.6%) n=1,730
Foreign-born population16.8%2.6% (0.0–18.6%) n=32,5534.8% (0.0–28.7%) n=1,746
Single-parent households27.2%53.6% (37.3–74.1%) n=32,08754.0% (36.7–74.5%) n=1,716
Population 65+8.7%19.4% (10.8–33.6%) n=32,55320.0% (12.0–33.2%) n=1,746
Median age32.8 yr42.2 yr (33.0–56.3) n=32,29243.5 yr (34.6–56.1) n=1,733
Median household income$39,753$72,070 ($46,039–$118,707) n=30,318$81,837 ($55,470–$145,610) n=1,626
Median home value$133,600$222,200 ($100,300–$579,820) n=30,049$247,700 ($121,180–$801,380) n=1,629
Median gross rent$964$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 birth73.9 yr ± 0.8278.9 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 0.82 years of 73.9, 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