Demographics details for White plains, NY vs Bethlehem, PA
Population Overview
Compare main population characteristics in White plains, NY vs Bethlehem, PA.
Data | White plains | Bethlehem |
---|---|---|
Population | 59,316 | 77,617 |
Median Age | 41.4 years | 35.9 years |
Median Income | $109,551 | $62,072 |
Married Families | 40.0% | 29.0% |
Poverty Level | 6% | 13% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: White plains vs Bethlehem
- The population in Bethlehem is higher at 77,617, compared to 59,316 in White plains.
- Residents in White plains have a higher median age of 41.4 years compared to 35.9 years in Bethlehem.
- White plains has a higher median income of $109,551 compared to $62,072 in Bethlehem.
- A higher percentage of married families is found in White plains at 40.0% compared to 29.0% in Bethlehem.
- The poverty level is higher in Bethlehem at 13%, compared to 6% in White plains.
- Bethlehem has a higher unemployment rate at 3.5% compared to 3.2% in White plains.
Demographics
Demographics White plains vs Bethlehem provide insight into the diversity of the communities to compare.
Demographic | White plains | Bethlehem |
---|---|---|
Black | 13 | 9 |
White | 39 | 47 |
Asian | 8 | 3 |
Hispanic | 31 | 30 |
Two or More Races | 9 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: White plains vs Bethlehem
- A higher percentage of Black residents are in White plains at 13% compared to 9% in Bethlehem.
- The percentage of White residents is higher in Bethlehem at 47% compared to 39% in White plains.
- The Asian population is larger in White plains at 8% compared to 3% in Bethlehem.
- The Hispanic community is larger in White plains at 31% compared to 30% in Bethlehem.
- The percentage of residents identifying as two or more races is higher in Bethlehem at 11%, compared to 9% in White plains.
- The percentage of American Indian residents is the same in both White plains and Bethlehem at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | White plains | Bethlehem |
---|---|---|
Mental Health Not Good | 13.1% | 16.9% |
Physical Health Not Good | 9.1% | 12.1% |
Depression | 17.7% | 21.8% |
Smoking | 11.7% | 18.4% |
Binge Drinking | 15.9% | 17.6% |
Obesity | 28.4% | 34.7% |
Disability Percentage | 10.0% | 13.0% |
Health Statistics Comparison: White plains vs Bethlehem
- In Bethlehem, a higher percentage report poor mental health at 16.9% compared to 13.1% in White plains.
- Higher depression rates are seen in Bethlehem at 21.8% versus 17.7% in White plains.
- Bethlehem has a higher smoking rate at 18.4% compared to 11.7% in White plains.
- More residents engage in binge drinking in Bethlehem at 17.6% compared to 15.9% in White plains.
- Bethlehem has higher obesity rates at 34.7% compared to 28.4% in White plains.
- There is a higher percentage of disabled individuals in Bethlehem at 13.0% compared to 10.0% in White plains.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | White plains | Bethlehem |
---|---|---|
No Schooling | 1.0% (566) | 0.6% (452) |
High School Diploma | 11.6% (6,853) | 16.9% (13,125) |
Less than High School | 14.7% (8,744) | 12.9% (10,045) |
Bachelor's Degree and Higher | 39.0% (23,145) | 22.0% (17,044) |
Education Levels Comparison: White plains vs Bethlehem
- A higher percentage of residents in White plains have no formal schooling at 1.0% compared to 0.6% in Bethlehem.
- In Bethlehem, the rate of residents with high school diplomas is higher at 16.9% compared to 11.6% in White plains.
- More residents in White plains have less than a high school education at 14.7% compared to 12.9% in Bethlehem.
- A higher percentage of residents in White plains hold a bachelor's degree or higher at 39.0% compared to 22.0% in Bethlehem.
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.