Demographics details for Keuka park, NY vs Volant, PA
Population Overview
Compare main population characteristics in Keuka park, NY vs Volant, PA.
| Data | Keuka park | Volant |
|---|---|---|
| Population | 1,092 | 125 |
| Median Age | 20.4 years | 55.8 years |
| Median Income | $79,569 | $64,375 |
| Married Families | 15.0% | 28.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Keuka park vs Volant
- In Keuka park, the population is higher at 1,092, compared to 125 in Volant.
- The median age in Volant is higher at 55.8 years, compared to 20.4 years in Keuka park.
- Keuka park has a higher median income of $79,569 compared to $64,375 in Volant.
- In Volant, the percentage of married families is higher at 28.0%, compared to 15.0% in Keuka park.
- Keuka park has a higher poverty level at 12% compared to 10% in Volant.
- The unemployment rate in Keuka park is higher at 4.1%, compared to 3.5% in Volant.
Demographics
Demographics Keuka park vs Volant provide insight into the diversity of the communities to compare.
| Demographic | Keuka park | Volant |
|---|---|---|
| Black | 1 | Data is updating |
| White | 97 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 1 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Keuka park vs Volant
- A higher percentage of Black residents are in Keuka park at 1% compared to 0% in Volant.
- The percentage of White residents is higher in Volant at 100% compared to 97% in Keuka park.
- Both Keuka park and Volant have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Keuka park at 1% compared to 0% in Volant.
- More residents identify as two or more races in Keuka park at 1% compared to 0% in Volant.
- The percentage of American Indian residents is the same in both Keuka park and Volant at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Keuka park | Volant |
|---|---|---|
| Mental Health Not Good | 14.9% | 16.5% |
| Physical Health Not Good | 9.0% | 10.4% |
| Depression | 25.1% | 23.9% |
| Smoking | 14.8% | 17.2% |
| Binge Drinking | 17.5% | 19.8% |
| Obesity | 29.4% | 33.5% |
| Disability Percentage | 19.0% | 4.0% |
Health Statistics Comparison: Keuka park vs Volant
- In Volant, a higher percentage report poor mental health at 16.5% compared to 14.9% in Keuka park.
- Depression is more prevalent in Keuka park at 25.1% compared to 23.9% in Volant.
- Volant has a higher smoking rate at 17.2% compared to 14.8% in Keuka park.
- More residents engage in binge drinking in Volant at 19.8% compared to 17.5% in Keuka park.
- Volant has higher obesity rates at 33.5% compared to 29.4% in Keuka park.
- Disability percentages are higher in Keuka park at 19.0% compared to 4.0% in Volant.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Keuka park | Volant |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 3.6% (39) | 10.4% (13) |
| Less than High School | 0.0% (Data is updating) | 4.8% (6) |
| Bachelor's Degree and Higher | 13.6% (149) | 18.4% (23) |
Education Levels Comparison: Keuka park vs Volant
- The percentage of residents with no formal schooling is the same in both Keuka park and Volant at 0.0%.
- In Volant, the rate of residents with high school diplomas is higher at 10.4% compared to 3.6% in Keuka park.
- The percentage of residents with less than a high school education is higher in Volant at 4.8%, compared to 0.0% in Keuka park.
- In Volant, a larger share of residents have a bachelor's degree or higher at 18.4% compared to 13.6% in Keuka park.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.