Demographics details for Washington, DC vs Santa clarita, CA
Population Overview
Compare main population characteristics in Washington, DC vs Santa clarita, CA.
Data | Washington | Santa clarita |
---|---|---|
Population | 671,803 | 221,345 |
Median Age | 34.8 years | 37.3 years |
Median Income | $101,722 | $116,186 |
Married Families | 26.0% | 43.0% |
Poverty Level | 18% | 8% |
Unemployment Rate | 6.3 | 5.7 |
Population Comparison: Washington vs Santa clarita
- In Washington, the population is higher at 671,803, compared to 221,345 in Santa clarita.
- The median age in Santa clarita is higher at 37.3 years, compared to 34.8 years in Washington.
- Santa clarita has a higher median income of $116,186, compared to $101,722 in Washington.
- In Santa clarita, the percentage of married families is higher at 43.0%, compared to 26.0% in Washington.
- Washington has a higher poverty level at 18% compared to 8% in Santa clarita.
- The unemployment rate in Washington is higher at 6.3%, compared to 5.7% in Santa clarita.
Demographics
Demographics Washington vs Santa clarita provide insight into the diversity of the communities to compare.
Demographic | Washington | Santa clarita |
---|---|---|
Black | 44 | 4 |
White | 34 | 30 |
Asian | 4 | 11 |
Hispanic | 11 | 37 |
Two or More Races | 7 | 17 |
American Indian | Data is updating | 1 |
Demographics Comparison: Washington vs Santa clarita
- A higher percentage of Black residents are in Washington at 44% compared to 4% in Santa clarita.
- Washington has a higher percentage of White residents at 34% compared to 30% in Santa clarita.
- In Santa clarita, the Asian population stands at 11%, greater than 4% in Washington.
- Santa clarita has a higher percentage of Hispanic residents at 37%, compared to 11% in Washington.
- The percentage of residents identifying as two or more races is higher in Santa clarita at 17%, compared to 7% in Washington.
- In Santa clarita, 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 | Santa clarita |
---|---|---|
Mental Health Not Good | 14.0% | 14.7% |
Physical Health Not Good | 8.6% | 9.6% |
Depression | 20.1% | 16.8% |
Smoking | 12.4% | 9.7% |
Binge Drinking | 20.7% | 17.1% |
Obesity | 25.6% | 26.2% |
Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Washington vs Santa clarita
- In Santa clarita, a higher percentage report poor mental health at 14.7% compared to 14.0% in Washington.
- Depression is more prevalent in Washington at 20.1% compared to 16.8% in Santa clarita.
- Smoking is more prevalent in Washington at 12.4% compared to 9.7% in Santa clarita.
- Binge drinking is more common in Washington at 20.7% compared to 17.1% in Santa clarita.
- Santa clarita has higher obesity rates at 26.2% compared to 25.6% in Washington.
- Disability percentages are higher in Washington at 11.0% compared to 10.0% in Santa clarita.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Washington | Santa clarita |
---|---|---|
No Schooling | 0.9% (6,109) | 1.4% (3,097) |
High School Diploma | 9.1% (61,269) | 10.7% (23,725) |
Less than High School | 6.8% (45,577) | 11.7% (25,882) |
Bachelor's Degree and Higher | 45.2% (303,532) | 26.1% (57,684) |
Education Levels Comparison: Washington vs Santa clarita
- In Santa clarita, a larger percentage of residents lack formal schooling at 1.4% compared to 0.9% in Washington.
- In Santa clarita, the rate of residents with high school diplomas is higher at 10.7% compared to 9.1% in Washington.
- The percentage of residents with less than a high school education is higher in Santa clarita at 11.7%, 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 26.1% in Santa clarita.
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.