Demographics details for Whitehall, WI vs Keuka park, NY
Population Overview
Compare main population characteristics in Whitehall, WI vs Keuka park, NY.
| Data | Whitehall | Keuka park |
|---|---|---|
| Population | 1,632 | 1,092 |
| Median Age | 36.8 years | 20.4 years |
| Median Income | $56,894 | $79,569 |
| Married Families | 30.0% | 15.0% |
| Poverty Level | 7% | 12% |
| Unemployment Rate | 3.6 | 4.1 |
Population Comparison: Whitehall vs Keuka park
- In Whitehall, the population is higher at 1,632, compared to 1,092 in Keuka park.
- Residents in Whitehall have a higher median age of 36.8 years compared to 20.4 years in Keuka park.
- Keuka park has a higher median income of $79,569, compared to $56,894 in Whitehall.
- A higher percentage of married families is found in Whitehall at 30.0% compared to 15.0% in Keuka park.
- The poverty level is higher in Keuka park at 12%, compared to 7% in Whitehall.
- Keuka park has a higher unemployment rate at 4.1% compared to 3.6% in Whitehall.
Demographics
Demographics Whitehall vs Keuka park provide insight into the diversity of the communities to compare.
| Demographic | Whitehall | Keuka park |
|---|---|---|
| Black | 1 | 1 |
| White | 83 | 97 |
| Asian | Data is updating | Data is updating |
| Hispanic | 12 | 1 |
| Two or More Races | 3 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Whitehall vs Keuka park
- The percentage of Black residents is the same in both Whitehall and Keuka park at 1%.
- The percentage of White residents is higher in Keuka park at 97% compared to 83% in Whitehall.
- Both Whitehall and Keuka park have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Whitehall at 12% compared to 1% in Keuka park.
- More residents identify as two or more races in Whitehall at 3% compared to 1% in Keuka park.
- A greater percentage of American Indian residents live in Whitehall at 1% compared to 0% in Keuka park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whitehall | Keuka park |
|---|---|---|
| Mental Health Not Good | 15.2% | 14.9% |
| Physical Health Not Good | 10.3% | 9.0% |
| Depression | 24.0% | 25.1% |
| Smoking | 16.7% | 14.8% |
| Binge Drinking | 24.4% | 17.5% |
| Obesity | 34.9% | 29.4% |
| Disability Percentage | 15.0% | 19.0% |
Health Statistics Comparison: Whitehall vs Keuka park
- More residents in Whitehall report poor mental health at 15.2% compared to 14.9% in Keuka park.
- Higher depression rates are seen in Keuka park at 25.1% versus 24.0% in Whitehall.
- Smoking is more prevalent in Whitehall at 16.7% compared to 14.8% in Keuka park.
- Binge drinking is more common in Whitehall at 24.4% compared to 17.5% in Keuka park.
- Obesity rates are higher in Whitehall at 34.9% compared to 29.4% in Keuka park.
- There is a higher percentage of disabled individuals in Keuka park at 19.0% compared to 15.0% in Whitehall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Whitehall | Keuka park |
|---|---|---|
| No Schooling | 0.4% (7) | 0.0% (Data is updating) |
| High School Diploma | 24.4% (398) | 3.6% (39) |
| Less than High School | 15.7% (256) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 8.6% (141) | 13.6% (149) |
Education Levels Comparison: Whitehall vs Keuka park
- A higher percentage of residents in Whitehall have no formal schooling at 0.4% compared to 0.0% in Keuka park.
- A higher percentage of residents in Whitehall hold a high school diploma at 24.4% compared to 3.6% in Keuka park.
- More residents in Whitehall have less than a high school education at 15.7% 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 8.6% in Whitehall.
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.