Demographics details for Keuka park, NY vs Waterbury, CT
Population Overview
Compare main population characteristics in Keuka park, NY vs Waterbury, CT.
| Data | Keuka park | Waterbury |
|---|---|---|
| Population | 1,092 | 115,016 |
| Median Age | 20.4 years | 36.7 years |
| Median Income | $79,569 | $51,451 |
| Married Families | 15.0% | 28.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Keuka park vs Waterbury
- The population in Waterbury is higher at 115,016, compared to 1,092 in Keuka park.
- The median age in Waterbury is higher at 36.7 years, compared to 20.4 years in Keuka park.
- Keuka park has a higher median income of $79,569 compared to $51,451 in Waterbury.
- In Waterbury, the percentage of married families is higher at 28.0%, compared to 15.0% in Keuka park.
- The poverty level is higher in Waterbury at 13%, compared to 12% in Keuka park.
- Waterbury has a higher unemployment rate at 4.5% compared to 4.1% in Keuka park.
Demographics
Demographics Keuka park vs Waterbury provide insight into the diversity of the communities to compare.
| Demographic | Keuka park | Waterbury |
|---|---|---|
| Black | 1 | 28 |
| White | 97 | 22 |
| Asian | Data is updating | 3 |
| Hispanic | 1 | 36 |
| Two or More Races | 1 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Keuka park vs Waterbury
- In Waterbury, the percentage of Black residents is higher at 28% compared to 1% in Keuka park.
- Keuka park has a higher percentage of White residents at 97% compared to 22% in Waterbury.
- In Waterbury, the Asian population stands at 3%, greater than 0% in Keuka park.
- Waterbury has a higher percentage of Hispanic residents at 36%, compared to 1% in Keuka park.
- The percentage of residents identifying as two or more races is higher in Waterbury at 11%, compared to 1% in Keuka park.
- The percentage of American Indian residents is the same in both Keuka park and Waterbury at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Keuka park | Waterbury |
|---|---|---|
| Mental Health Not Good | 14.9% | 17.3% |
| Physical Health Not Good | 9.0% | 13.3% |
| Depression | 25.1% | 22.0% |
| Smoking | 14.8% | 21.8% |
| Binge Drinking | 17.5% | 13.7% |
| Obesity | 29.4% | 37.1% |
| Disability Percentage | 19.0% | 16.0% |
Health Statistics Comparison: Keuka park vs Waterbury
- In Waterbury, a higher percentage report poor mental health at 17.3% compared to 14.9% in Keuka park.
- Depression is more prevalent in Keuka park at 25.1% compared to 22.0% in Waterbury.
- Waterbury has a higher smoking rate at 21.8% compared to 14.8% in Keuka park.
- Binge drinking is more common in Keuka park at 17.5% compared to 13.7% in Waterbury.
- Waterbury has higher obesity rates at 37.1% compared to 29.4% in Keuka park.
- Disability percentages are higher in Keuka park at 19.0% compared to 16.0% in Waterbury.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Keuka park | Waterbury |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.9% (2,221) |
| High School Diploma | 3.6% (39) | 21.4% (24,629) |
| Less than High School | 0.0% (Data is updating) | 20.7% (23,816) |
| Bachelor's Degree and Higher | 13.6% (149) | 11.1% (12,745) |
Education Levels Comparison: Keuka park vs Waterbury
- In Waterbury, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Keuka park.
- In Waterbury, the rate of residents with high school diplomas is higher at 21.4% compared to 3.6% in Keuka park.
- The percentage of residents with less than a high school education is higher in Waterbury at 20.7%, compared to 0.0% in Keuka park.
- A higher percentage of residents in Keuka park hold a bachelor's degree or higher at 13.6% compared to 11.1% in Waterbury.
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.