Demographics details for Santa monica, CA vs Woodbridge, VA
Population Overview
Compare main population characteristics in Santa monica, CA vs Woodbridge, VA.
Data | Santa monica | Woodbridge |
---|---|---|
Population | 89,947 | 42,619 |
Median Age | 42.1 years | 34.2 years |
Median Income | $106,797 | $93,347 |
Married Families | 35.0% | 35.0% |
Poverty Level | 11% | 5% |
Unemployment Rate | 5.8 | 3.2 |
Population Comparison: Santa monica vs Woodbridge
- In Santa monica, the population is higher at 89,947, compared to 42,619 in Woodbridge.
- Residents in Santa monica have a higher median age of 42.1 years compared to 34.2 years in Woodbridge.
- Santa monica has a higher median income of $106,797 compared to $93,347 in Woodbridge.
- The percentage of married families is the same in both Santa monica and Woodbridge at 35.0%.
- Santa monica has a higher poverty level at 11% compared to 5% in Woodbridge.
- The unemployment rate in Santa monica is higher at 5.8%, compared to 3.2% in Woodbridge.
Demographics
Demographics Santa monica vs Woodbridge provide insight into the diversity of the communities to compare.
Demographic | Santa monica | Woodbridge |
---|---|---|
Black | 5 | 26 |
White | 55 | 10 |
Asian | 9 | 9 |
Hispanic | 18 | 41 |
Two or More Races | 12 | 13 |
American Indian | 1 | 1 |
Demographics Comparison: Santa monica vs Woodbridge
- In Woodbridge, the percentage of Black residents is higher at 26% compared to 5% in Santa monica.
- Santa monica has a higher percentage of White residents at 55% compared to 10% in Woodbridge.
- Both Santa monica and Woodbridge have the same percentage of Asian residents at 9%.
- Woodbridge has a higher percentage of Hispanic residents at 41%, compared to 18% in Santa monica.
- The percentage of residents identifying as two or more races is higher in Woodbridge at 13%, compared to 12% in Santa monica.
- The percentage of American Indian residents is the same in both Santa monica and Woodbridge at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa monica | Woodbridge |
---|---|---|
Mental Health Not Good | 13.5% | 13.3% |
Physical Health Not Good | 8.1% | 8.3% |
Depression | 16.6% | 17.4% |
Smoking | 7.5% | 10.7% |
Binge Drinking | 17.2% | 16.3% |
Obesity | 24.1% | 34.0% |
Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Santa monica vs Woodbridge
- More residents in Santa monica report poor mental health at 13.5% compared to 13.3% in Woodbridge.
- Higher depression rates are seen in Woodbridge at 17.4% versus 16.6% in Santa monica.
- Woodbridge has a higher smoking rate at 10.7% compared to 7.5% in Santa monica.
- Binge drinking is more common in Santa monica at 17.2% compared to 16.3% in Woodbridge.
- Woodbridge has higher obesity rates at 34.0% compared to 24.1% in Santa monica.
- Disability percentages are the same in both Santa monica and Woodbridge at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Santa monica | Woodbridge |
---|---|---|
No Schooling | 1.1% (950) | 3.4% (1,450) |
High School Diploma | 6.2% (5,554) | 15.8% (6,727) |
Less than High School | 7.9% (7,118) | 17.5% (7,473) |
Bachelor's Degree and Higher | 55.4% (49,805) | 20.2% (8,628) |
Education Levels Comparison: Santa monica vs Woodbridge
- In Woodbridge, a larger percentage of residents lack formal schooling at 3.4% compared to 1.1% in Santa monica.
- In Woodbridge, the rate of residents with high school diplomas is higher at 15.8% compared to 6.2% in Santa monica.
- The percentage of residents with less than a high school education is higher in Woodbridge at 17.5%, compared to 7.9% in Santa monica.
- A higher percentage of residents in Santa monica hold a bachelor's degree or higher at 55.4% compared to 20.2% in Woodbridge.
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.