Demographics details for Union city, PA vs Keuka park, NY
Population Overview
Compare main population characteristics in Union city, PA vs Keuka park, NY.
| Data | Union city | Keuka park |
|---|---|---|
| Population | 2,887 | 1,092 |
| Median Age | 46.6 years | 20.4 years |
| Median Income | $41,764 | $79,569 |
| Married Families | 40.0% | 15.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 5.2 | 4.1 |
Population Comparison: Union city vs Keuka park
- In Union city, the population is higher at 2,887, compared to 1,092 in Keuka park.
- Residents in Union city have a higher median age of 46.6 years compared to 20.4 years in Keuka park.
- Keuka park has a higher median income of $79,569, compared to $41,764 in Union city.
- A higher percentage of married families is found in Union city at 40.0% compared to 15.0% in Keuka park.
- The poverty level is identical in both Union city and Keuka park at 12%.
- The unemployment rate in Union city is higher at 5.2%, compared to 4.1% in Keuka park.
Demographics
Demographics Union city vs Keuka park provide insight into the diversity of the communities to compare.
| Demographic | Union city | Keuka park |
|---|---|---|
| Black | Data is updating | 1 |
| White | 91 | 97 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 1 |
| Two or More Races | 5 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Union city vs Keuka park
- In Keuka park, the percentage of Black residents is higher at 1% compared to 0% in Union city.
- The percentage of White residents is higher in Keuka park at 97% compared to 91% in Union city.
- Both Union city and Keuka park have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Union city at 4% compared to 1% in Keuka park.
- More residents identify as two or more races in Union city at 5% compared to 1% in Keuka park.
- The percentage of American Indian residents is the same in both Union city and Keuka park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Union city | Keuka park |
|---|---|---|
| Mental Health Not Good | 19.6% | 14.9% |
| Physical Health Not Good | 14.5% | 9.0% |
| Depression | 24.6% | 25.1% |
| Smoking | 25.3% | 14.8% |
| Binge Drinking | 17.8% | 17.5% |
| Obesity | 39.2% | 29.4% |
| Disability Percentage | 21.0% | 19.0% |
Health Statistics Comparison: Union city vs Keuka park
- More residents in Union city report poor mental health at 19.6% compared to 14.9% in Keuka park.
- Higher depression rates are seen in Keuka park at 25.1% versus 24.6% in Union city.
- Smoking is more prevalent in Union city at 25.3% compared to 14.8% in Keuka park.
- Binge drinking is more common in Union city at 17.8% compared to 17.5% in Keuka park.
- Obesity rates are higher in Union city at 39.2% compared to 29.4% in Keuka park.
- Disability percentages are higher in Union city at 21.0% compared to 19.0% in Keuka park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Union city | Keuka park |
|---|---|---|
| No Schooling | 0.3% (9) | 0.0% (Data is updating) |
| High School Diploma | 42.5% (1,226) | 3.6% (39) |
| Less than High School | 16.5% (476) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 8.2% (237) | 13.6% (149) |
Education Levels Comparison: Union city vs Keuka park
- A higher percentage of residents in Union city have no formal schooling at 0.3% compared to 0.0% in Keuka park.
- A higher percentage of residents in Union city hold a high school diploma at 42.5% compared to 3.6% in Keuka park.
- More residents in Union city have less than a high school education at 16.5% compared to 0.0% in Keuka park.
- In Keuka park, a larger share of residents have a bachelor's degree or higher at 13.6% compared to 8.2% in Union city.
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.