Demographics details for White plains, NY vs College park, MD
Population Overview
Compare main population characteristics in White plains, NY vs College park, MD.
Data | White plains | College park |
---|---|---|
Population | 59,316 | 34,190 |
Median Age | 41.4 years | 21.6 years |
Median Income | $109,551 | $76,973 |
Married Families | 40.0% | 17.0% |
Poverty Level | 6% | 10% |
Unemployment Rate | 3.2 | 5.5 |
Population Comparison: White plains vs College park
- In White plains, the population is higher at 59,316, compared to 34,190 in College park.
- Residents in White plains have a higher median age of 41.4 years compared to 21.6 years in College park.
- White plains has a higher median income of $109,551 compared to $76,973 in College park.
- A higher percentage of married families is found in White plains at 40.0% compared to 17.0% in College park.
- The poverty level is higher in College park at 10%, compared to 6% in White plains.
- College park has a higher unemployment rate at 5.5% compared to 3.2% in White plains.
Demographics
Demographics White plains vs College park provide insight into the diversity of the communities to compare.
Demographic | White plains | College park |
---|---|---|
Black | 13 | 23 |
White | 39 | 39 |
Asian | 8 | 14 |
Hispanic | 31 | 17 |
Two or More Races | 9 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: White plains vs College park
- In College park, the percentage of Black residents is higher at 23% compared to 13% in White plains.
- The percentage of White residents is the same in both White plains and College park at 39%.
- In College park, the Asian population stands at 14%, greater than 8% in White plains.
- The Hispanic community is larger in White plains at 31% compared to 17% in College park.
- More residents identify as two or more races in White plains at 9% compared to 7% in College park.
- The percentage of American Indian residents is the same in both White plains and College park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | White plains | College park |
---|---|---|
Mental Health Not Good | 13.1% | 14.8% |
Physical Health Not Good | 9.1% | 10.0% |
Depression | 17.7% | 15.4% |
Smoking | 11.7% | 12.4% |
Binge Drinking | 15.9% | 12.8% |
Obesity | 28.4% | 36.4% |
Disability Percentage | 10.0% | 5.0% |
Health Statistics Comparison: White plains vs College park
- In College park, a higher percentage report poor mental health at 14.8% compared to 13.1% in White plains.
- Depression is more prevalent in White plains at 17.7% compared to 15.4% in College park.
- College park has a higher smoking rate at 12.4% compared to 11.7% in White plains.
- Binge drinking is more common in White plains at 15.9% compared to 12.8% in College park.
- College park has higher obesity rates at 36.4% compared to 28.4% in White plains.
- Disability percentages are higher in White plains at 10.0% compared to 5.0% in College park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | White plains | College park |
---|---|---|
No Schooling | 1.0% (566) | 1.9% (657) |
High School Diploma | 11.6% (6,853) | 6.4% (2,199) |
Less than High School | 14.7% (8,744) | 9.4% (3,210) |
Bachelor's Degree and Higher | 39.0% (23,145) | 19.8% (6,769) |
Education Levels Comparison: White plains vs College park
- In College park, a larger percentage of residents lack formal schooling at 1.9% compared to 1.0% in White plains.
- A higher percentage of residents in White plains hold a high school diploma at 11.6% compared to 6.4% in College park.
- More residents in White plains have less than a high school education at 14.7% compared to 9.4% in College park.
- A higher percentage of residents in White plains hold a bachelor's degree or higher at 39.0% compared to 19.8% in College 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.