Demographics details for Easton, PA vs Keuka park, NY
Population Overview
Compare main population characteristics in Easton, PA vs Keuka park, NY.
| Data | Easton | Keuka park |
|---|---|---|
| Population | 30,341 | 1,092 |
| Median Age | 35.5 years | 20.4 years |
| Median Income | $62,642 | $79,569 |
| Married Families | 27.0% | 15.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 4.4 | 4.1 |
Population Comparison: Easton vs Keuka park
- In Easton, the population is higher at 30,341, compared to 1,092 in Keuka park.
- Residents in Easton have a higher median age of 35.5 years compared to 20.4 years in Keuka park.
- Keuka park has a higher median income of $79,569, compared to $62,642 in Easton.
- A higher percentage of married families is found in Easton at 27.0% compared to 15.0% in Keuka park.
- Easton has a higher poverty level at 15% compared to 12% in Keuka park.
- The unemployment rate in Easton is higher at 4.4%, compared to 4.1% in Keuka park.
Demographics
Demographics Easton vs Keuka park provide insight into the diversity of the communities to compare.
| Demographic | Easton | Keuka park |
|---|---|---|
| Black | 15 | 1 |
| White | 51 | 97 |
| Asian | 1 | Data is updating |
| Hispanic | 22 | 1 |
| Two or More Races | 11 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Easton vs Keuka park
- A higher percentage of Black residents are in Easton at 15% compared to 1% in Keuka park.
- The percentage of White residents is higher in Keuka park at 97% compared to 51% in Easton.
- The Asian population is larger in Easton at 1% compared to 0% in Keuka park.
- The Hispanic community is larger in Easton at 22% compared to 1% in Keuka park.
- More residents identify as two or more races in Easton at 11% compared to 1% in Keuka park.
- The percentage of American Indian residents is the same in both Easton and Keuka park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Easton | Keuka park |
|---|---|---|
| Mental Health Not Good | 17.5% | 14.9% |
| Physical Health Not Good | 13.2% | 9.0% |
| Depression | 21.7% | 25.1% |
| Smoking | 20.9% | 14.8% |
| Binge Drinking | 17.7% | 17.5% |
| Obesity | 36.0% | 29.4% |
| Disability Percentage | 12.0% | 19.0% |
Health Statistics Comparison: Easton vs Keuka park
- More residents in Easton report poor mental health at 17.5% compared to 14.9% in Keuka park.
- Higher depression rates are seen in Keuka park at 25.1% versus 21.7% in Easton.
- Smoking is more prevalent in Easton at 20.9% compared to 14.8% in Keuka park.
- Binge drinking is more common in Easton at 17.7% compared to 17.5% in Keuka park.
- Obesity rates are higher in Easton at 36.0% compared to 29.4% in Keuka park.
- There is a higher percentage of disabled individuals in Keuka park at 19.0% compared to 12.0% in Easton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Easton | Keuka park |
|---|---|---|
| No Schooling | 0.6% (189) | 0.0% (Data is updating) |
| High School Diploma | 19.6% (5,936) | 3.6% (39) |
| Less than High School | 16.2% (4,901) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 15.9% (4,813) | 13.6% (149) |
Education Levels Comparison: Easton vs Keuka park
- A higher percentage of residents in Easton have no formal schooling at 0.6% compared to 0.0% in Keuka park.
- A higher percentage of residents in Easton hold a high school diploma at 19.6% compared to 3.6% in Keuka park.
- More residents in Easton have less than a high school education at 16.2% compared to 0.0% in Keuka park.
- A higher percentage of residents in Easton hold a bachelor's degree or higher at 15.9% 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.