Demographics details for Washington, DC vs Diamond bar, CA
Population Overview
Compare main population characteristics in Washington, DC vs Diamond bar, CA.
Data | Washington | Diamond bar |
---|---|---|
Population | 671,803 | 52,855 |
Median Age | 34.8 years | 44.7 years |
Median Income | $101,722 | $106,881 |
Married Families | 26.0% | 49.0% |
Poverty Level | 18% | 8% |
Unemployment Rate | 6.3 | 4.5 |
Population Comparison: Washington vs Diamond bar
- In Washington, the population is higher at 671,803, compared to 52,855 in Diamond bar.
- The median age in Diamond bar is higher at 44.7 years, compared to 34.8 years in Washington.
- Diamond bar has a higher median income of $106,881, compared to $101,722 in Washington.
- In Diamond bar, the percentage of married families is higher at 49.0%, compared to 26.0% in Washington.
- Washington has a higher poverty level at 18% compared to 8% in Diamond bar.
- The unemployment rate in Washington is higher at 6.3%, compared to 4.5% in Diamond bar.
Demographics
Demographics Washington vs Diamond bar provide insight into the diversity of the communities to compare.
Demographic | Washington | Diamond bar |
---|---|---|
Black | 44 | 4 |
White | 34 | 6 |
Asian | 4 | 61 |
Hispanic | 11 | 20 |
Two or More Races | 7 | 8 |
American Indian | Data is updating | 1 |
Demographics Comparison: Washington vs Diamond bar
- A higher percentage of Black residents are in Washington at 44% compared to 4% in Diamond bar.
- Washington has a higher percentage of White residents at 34% compared to 6% in Diamond bar.
- In Diamond bar, the Asian population stands at 61%, greater than 4% in Washington.
- Diamond bar has a higher percentage of Hispanic residents at 20%, compared to 11% in Washington.
- The percentage of residents identifying as two or more races is higher in Diamond bar at 8%, compared to 7% in Washington.
- In Diamond bar, the percentage of American Indian residents is higher at 1%, compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Washington | Diamond bar |
---|---|---|
Mental Health Not Good | 14.0% | 11.4% |
Physical Health Not Good | 8.6% | 7.3% |
Depression | 20.1% | 11.7% |
Smoking | 12.4% | 6.8% |
Binge Drinking | 20.7% | 13.2% |
Obesity | 25.6% | 19.3% |
Disability Percentage | 11.0% | 8.0% |
Health Statistics Comparison: Washington vs Diamond bar
- More residents in Washington report poor mental health at 14.0% compared to 11.4% in Diamond bar.
- Depression is more prevalent in Washington at 20.1% compared to 11.7% in Diamond bar.
- Smoking is more prevalent in Washington at 12.4% compared to 6.8% in Diamond bar.
- Binge drinking is more common in Washington at 20.7% compared to 13.2% in Diamond bar.
- Obesity rates are higher in Washington at 25.6% compared to 19.3% in Diamond bar.
- Disability percentages are higher in Washington at 11.0% compared to 8.0% in Diamond bar.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Washington | Diamond bar |
---|---|---|
No Schooling | 0.9% (6,109) | 2.4% (1,281) |
High School Diploma | 9.1% (61,269) | 9.0% (4,746) |
Less than High School | 6.8% (45,577) | 7.6% (4,036) |
Bachelor's Degree and Higher | 45.2% (303,532) | 39.3% (20,796) |
Education Levels Comparison: Washington vs Diamond bar
- In Diamond bar, a larger percentage of residents lack formal schooling at 2.4% compared to 0.9% in Washington.
- A higher percentage of residents in Washington hold a high school diploma at 9.1% compared to 9.0% in Diamond bar.
- The percentage of residents with less than a high school education is higher in Diamond bar at 7.6%, compared to 6.8% in Washington.
- A higher percentage of residents in Washington hold a bachelor's degree or higher at 45.2% compared to 39.3% in Diamond bar.
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.