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ZipVitals

ZIP code

12019

in Ballston Lake, New YorkPopulation 15,555

67.79/ 100

Ranked #1,069 of 32,066 US ZIPs (top 3.4%)

Ranked #157 of 1,730 New York ZIPs (top 9.1%)

Ranked #5 of 114 Albany-Schenectady-Troy, NY ZIPs (top 4.4%)

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

Broad coverage across 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.

Food insecurity

7.0%

in the bottom 3.6% nationally

Lower is healthier

ST4th
US4th
Definition & source ›

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

Full methodology ›

Lack of transportation

4.5%

in the bottom 3.8% nationally

Lower is healthier

ST6th
US4th
Definition & source ›

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

Full methodology ›

Mammography

83%

in the top 2.4% nationally

Higher is healthier

ST97th
US98th
Definition & source ›

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

Full methodology ›

Cognitive disability

9.1%

in the bottom 2.3% nationally

Lower is healthier

ST9th
US2nd
Definition & source ›

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

Full methodology ›

Colon-cancer screening

75%

in the top 3.0% nationally

Higher is healthier

ST93rd
US97th
Definition & source ›

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

Full methodology ›

Utility shut-off threat

4.3%

in the bottom 5.7% nationally

Lower is healthier

ST9th
US6th
Definition & 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

11.8%

in the bottom 3.0% nationally

Lower is healthier

ST7th
US3rd
Definition & source ›

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

Full methodology ›

Independent-living disability

5.4%

in the bottom 4.8% nationally

Lower is healthier

ST8th
US5th
Definition & source ›

The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.

Full methodology ›

Housing insecurity

7.2%

in the bottom 8.8% nationally

Lower is healthier

ST8th
US9th
Definition & source ›

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

Full methodology ›

Mobility disability

9.6%

in the bottom 7.6% nationally

Lower is healthier

ST8th
US8th
Definition & source ›

The estimated share of adults with serious difficulty walking or climbing stairs.

Full methodology ›

The read

In its overall standing, Ballston Lake, New York (ZIP 12019) lands in the top 3.4% healthiest ZIPs nationally (1,069th) and the top 9.1% of New York (157th), based on limited data; treat as directional.

continue reading

This area's strengths are easy to pick out across the measures: modeled food insecurity lands in the bottom 3.6% nationally, transportation lies in the bottom 3.8% nationally, and mammography stands in the top 2.4% nationally. Modeled cognitive disability rests in the bottom 2.3% nationally, colon screening registers in the top 3.0% nationally, and utility shutoff resides in the bottom 5.7% nationally. Modeled fair or poor health settles in the bottom 3.0% nationally, and independent living disability is in the bottom 4.8% nationally. Modeled housing insecurity sits in the bottom 8.8% nationally, and mobility disability lands in the bottom 7.6% nationally.

Against the wider neighborhood, park land runs far higher than the surrounding ZIPs on this measure. On the overall standing, ZIP 12148, just across the boundary, ranks healthier. In the round, the area also sits on the healthier half of the national range on at least seven of the ten good-life measures tracked here, from quiet and green space to nearby care, a combination reached by about one in twenty-five US ZIP codes.

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 Albany-Schenectady-Troy, 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 78%

21%

Social Need / SDOH

healthier than 89%

16%

Preventive Care

healthier than 98%

13%

Risk Behavior

healthier than 93%

11%

Mental Health

healthier than 91%

8%

Disability

healthier than 95%

7%

Climate / Disaster RiskPartial

healthier than 84%

5%

About typical

Environmental Hazard

healthier than 53%

14%

Healthcare Access

healthier than 48%

5%

Nothing measured is holding this score back.

Lifting this score

Chronic Disease Burden

healthier than 60%

21%

Social Need / SDOH

healthier than 87%

16%

Preventive Care

healthier than 93%

13%

Risk Behavior

healthier than 95%

11%

Mental Health

healthier than 66%

8%

Disability

healthier than 89%

7%

About typical

Environmental Hazard

healthier than 45%

14%

Climate / Disaster RiskPartial

healthier than 59%

5%

Holding it back

Healthcare Access

healthier than 38%

5%

Lifting this score

Chronic Disease Burden

healthier than 74%

21%

Social Need / SDOH

healthier than 97%

16%

Preventive Care

healthier than 93%

13%

Risk Behavior

in the top 0.00%

11%

Mental Health

healthier than 90%

8%

Disability

healthier than 96%

7%

Climate / Disaster RiskPartial

healthier than 61%

5%

About typical

Environmental Hazard

healthier than 44%

14%

Healthcare Access

healthier than 57%

5%

Nothing measured is holding this score back.

“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 83.4 ± 1.4 years. A median household income of $112,420 predicts 80.5 years — 2.9 years above.

    Ranked #477 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 83.4 ± 1.4 years. The 48 nearest ZIP codes with estimates average 80.6 years — 2.8 years above them.

    Ranked #931 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 adults27.7%24.8–30.5
High blood pressure among adults31.8%28.6–35.0
Cancer (non-skin) or melanoma among adults10.4%9.5–11.3
Current asthma among adults10.1%9.0–11.2
Coronary heart disease among adults5.7%5.1–6.3
Chronic obstructive pulmonary disease among adults5.0%4.4–5.7
Depression among adults19.3%16.7–22.0
Diagnosed diabetes among adults9.0%7.8–10.2
High cholesterol among adults who have ever been screened38.7%35.2–42.3
Obesity among adults31.7%27.1–36.7
Stroke among adults2.8%2.5–3.0
All teeth lost among adults aged >=65 years7.7%6.2–9.4
PreventionCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Current lack of health insurance among adults aged 18-64 years3.6%3.1–4.3
Taking medicine to control high blood pressure among adults with high blood pressure79.1%76.2–81.6
Visits to doctor for routine checkup within the past year among adults81.7%79.0–84.2
Cholesterol screening among adults92.2%91.2–93.2
Colorectal cancer screening among adults aged 45–75 years75.0%71.4–78.4
Visited dentist or dental clinic in the past year among adults72.5%69.7–75.3
Mammography use among women aged 50-74 years83.0%77.7–87.4
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
MeasureCrude prevalence95% CI
Binge drinking among adults16.9%14.4–19.5
Current cigarette smoking among adults8.9%7.6–10.4
No leisure-time physical activity among adults17.2%14.6–20.2
Short sleep duration among adults30.0%25.7–34.5
Health StatusCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Fair or poor self-rated health status among adults11.8%10.2–13.5
Frequent mental distress among adults13.3%11.9–14.9
Frequent physical distress among adults10.8%9.5–12.1
DisabilityCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Cognitive disability among adults9.1%8.1–10.3
Any disability among adults21.3%18.5–24.3
Hearing disability among adults5.4%4.8–6.1
Independent living disability among adults5.4%4.8–6.1
Mobility disability among adults9.6%8.3–11.0
Self-care disability among adults2.5%2.2–2.8
Vision disability among adults3.0%2.7–3.3
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
MeasureCrude prevalence95% CI
Lack of social and emotional support among adults19.4%16.6–22.2
Food insecurity in the past 12 months among adults7.0%5.8–8.3
Received food stamps in the past 12 months among adults5.7%4.7–6.7
Housing insecurity in the past 12 months among adults7.2%6.1–8.4
Lack of reliable transportation in the past 12 months among adults4.5%3.9–5.1
Loneliness among adults29.1%25.1–33.2
Utility services shut-off threat in the past 12 months among adults4.3%3.7–4.9
Community & economyCensus ACS 5-Year · 2024 release · observed
MeasureValueUS median (p10–p90)NY median (p10–p90)
Poverty rate3.6%10.6% (3.1–25.8%) n=32,3649.5% (2.5–22.6%) n=1,734
Uninsured 18–642.3%9.0% (1.5–24.3%) n=32,2865.0% (0.0–13.1%) n=1,734
No HS diploma (25+)3.0%7.9% (1.8–20.7%) n=32,5057.1% (1.2–17.5%) n=1,743
Bachelor's or higher (25+)53.2%23.3% (9.2–53.6%) n=32,50531.8% (13.9–62.1%) n=1,743
Unemployment rate (16+)0.8%3.9% (0.0–9.8%) n=32,2744.4% (0.0–9.7%) n=1,730
Households without a vehicle2.1%3.9% (0.0–12.5%) n=32,3225.7% (0.0–28.9%) n=1,730
Broadband subscription95.3%89.3% (75.1–97.1%) n=32,32291.5% (81.1–98.3%) n=1,730
Housing cost burden (≥30% income)18.2%23.7% (10.6–40.0%) n=32,32227.2% (14.2–45.5%) n=1,730
Homeownership rate81.3%78.7% (51.7–94.0%) n=32,32280.2% (40.9–94.8%) n=1,730
Crowded housing (>1 per room)0.3%1.3% (0.0–6.3%) n=32,3221.0% (0.0–6.6%) n=1,730
Foreign-born population3.7%2.6% (0.0–18.6%) n=32,5534.8% (0.0–28.7%) n=1,746
Single-parent households61.8%53.6% (37.3–74.1%) n=32,08754.0% (36.7–74.5%) n=1,716
Population 65+23.3%19.4% (10.8–33.6%) n=32,55320.0% (12.0–33.2%) n=1,746
Median age46.7 yr42.2 yr (33.0–56.3) n=32,29243.5 yr (34.6–56.1) n=1,733
Median household income$112,420$72,070 ($46,039–$118,707) n=30,318$81,837 ($55,470–$145,610) n=1,626
Median home value$400,400$222,200 ($100,300–$579,820) n=30,049$247,700 ($121,180–$801,380) n=1,629
Median gross rent$1,242$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 birth83.4 yr ± 0.7078.9 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 0.70 years of 83.4, 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