Demographics details for White plains, NY vs Washington, ME
Population Overview
Compare main population characteristics in White plains, NY vs Washington, ME.
| Data | White plains | Washington |
|---|---|---|
| Population | 59,316 | 31,437 |
| Median Age | 41.4 years | 48.6 years |
| Median Income | $109,551 | $51,669 |
| Married Families | 40.0% | 41.0% |
| Poverty Level | 6% | 8% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: White plains vs Washington
- In White plains, the population is higher at 59,316, compared to 31,437 in Washington.
- The median age in Washington is higher at 48.6 years, compared to 41.4 years in White plains.
- White plains has a higher median income of $109,551 compared to $51,669 in Washington.
- In Washington, the percentage of married families is higher at 41.0%, compared to 40.0% in White plains.
- The poverty level is higher in Washington at 8%, compared to 6% in White plains.
- Washington has a higher unemployment rate at 3.5% compared to 3.2% in White plains.
Demographics
Demographics White plains vs Washington provide insight into the diversity of the communities to compare.
| Demographic | White plains | Washington |
|---|---|---|
| Black | 13 | 1 |
| White | 39 | 87 |
| Asian | 8 | Data is updating |
| Hispanic | 31 | 3 |
| Two or More Races | 9 | 4 |
| American Indian | Data is updating | 5 |
Demographics Comparison: White plains vs Washington
- A higher percentage of Black residents are in White plains at 13% compared to 1% in Washington.
- The percentage of White residents is higher in Washington at 87% compared to 39% in White plains.
- The Asian population is larger in White plains at 8% compared to 0% in Washington.
- The Hispanic community is larger in White plains at 31% compared to 3% in Washington.
- More residents identify as two or more races in White plains at 9% compared to 4% in Washington.
- In Washington, the percentage of American Indian residents is higher at 5%, compared to 0% in White plains.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | White plains | Washington |
|---|---|---|
| Mental Health Not Good | 13.1% | 19.6% |
| Physical Health Not Good | 9.1% | 12.4% |
| Depression | 17.7% | 27.9% |
| Smoking | 11.7% | 21.6% |
| Binge Drinking | 15.9% | 17.8% |
| Obesity | 28.4% | 37.0% |
| Disability Percentage | 10.0% | 22.0% |
Health Statistics Comparison: White plains vs Washington
- In Washington, a higher percentage report poor mental health at 19.6% compared to 13.1% in White plains.
- Higher depression rates are seen in Washington at 27.9% versus 17.7% in White plains.
- Washington has a higher smoking rate at 21.6% compared to 11.7% in White plains.
- More residents engage in binge drinking in Washington at 17.8% compared to 15.9% in White plains.
- Washington has higher obesity rates at 37.0% compared to 28.4% in White plains.
- There is a higher percentage of disabled individuals in Washington at 22.0% 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 | Washington |
|---|---|---|
| No Schooling | 1.0% (566) | 0.5% (169) |
| High School Diploma | 11.6% (6,853) | 22.0% (6,922) |
| Less than High School | 14.7% (8,744) | 12.7% (4,002) |
| Bachelor's Degree and Higher | 39.0% (23,145) | 18.0% (5,667) |
Education Levels Comparison: White plains vs Washington
- A higher percentage of residents in White plains have no formal schooling at 1.0% compared to 0.5% in Washington.
- In Washington, the rate of residents with high school diplomas is higher at 22.0% compared to 11.6% in White plains.
- More residents in White plains have less than a high school education at 14.7% compared to 12.7% in Washington.
- A higher percentage of residents in White plains hold a bachelor's degree or higher at 39.0% compared to 18.0% in Washington.
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.