Demographics details for Manassas, VA vs Santa monica, CA
Population Overview
Compare main population characteristics in Manassas, VA vs Santa monica, CA.
Data | Manassas | Santa monica |
---|---|---|
Population | 42,642 | 89,947 |
Median Age | 35.1 years | 42.1 years |
Median Income | $110,559 | $106,797 |
Married Families | 38.0% | 35.0% |
Poverty Level | 7% | 11% |
Unemployment Rate | 2.7 | 5.8 |
Population Comparison: Manassas vs Santa monica
- The population in Santa monica is higher at 89,947, compared to 42,642 in Manassas.
- The median age in Santa monica is higher at 42.1 years, compared to 35.1 years in Manassas.
- Manassas has a higher median income of $110,559 compared to $106,797 in Santa monica.
- A higher percentage of married families is found in Manassas at 38.0% compared to 35.0% in Santa monica.
- The poverty level is higher in Santa monica at 11%, compared to 7% in Manassas.
- Santa monica has a higher unemployment rate at 5.8% compared to 2.7% in Manassas.
Demographics
Demographics Manassas vs Santa monica provide insight into the diversity of the communities to compare.
Demographic | Manassas | Santa monica |
---|---|---|
Black | 13 | 5 |
White | 23 | 55 |
Asian | 6 | 9 |
Hispanic | 39 | 18 |
Two or More Races | 18 | 12 |
American Indian | 1 | 1 |
Demographics Comparison: Manassas vs Santa monica
- A higher percentage of Black residents are in Manassas at 13% compared to 5% in Santa monica.
- The percentage of White residents is higher in Santa monica at 55% compared to 23% in Manassas.
- In Santa monica, the Asian population stands at 9%, greater than 6% in Manassas.
- The Hispanic community is larger in Manassas at 39% compared to 18% in Santa monica.
- More residents identify as two or more races in Manassas at 18% compared to 12% in Santa monica.
- The percentage of American Indian residents is the same in both Manassas and Santa monica at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Manassas | Santa monica |
---|---|---|
Mental Health Not Good | 15.4% | 13.5% |
Physical Health Not Good | 10.5% | 8.1% |
Depression | 20.8% | 16.6% |
Smoking | 14.7% | 7.5% |
Binge Drinking | 16.8% | 17.2% |
Obesity | 34.8% | 24.1% |
Disability Percentage | 8.0% | 9.0% |
Health Statistics Comparison: Manassas vs Santa monica
- More residents in Manassas report poor mental health at 15.4% compared to 13.5% in Santa monica.
- Depression is more prevalent in Manassas at 20.8% compared to 16.6% in Santa monica.
- Smoking is more prevalent in Manassas at 14.7% compared to 7.5% in Santa monica.
- More residents engage in binge drinking in Santa monica at 17.2% compared to 16.8% in Manassas.
- Obesity rates are higher in Manassas at 34.8% compared to 24.1% in Santa monica.
- There is a higher percentage of disabled individuals in Santa monica at 9.0% compared to 8.0% in Manassas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Manassas | Santa monica |
---|---|---|
No Schooling | 3.0% (1,266) | 1.1% (950) |
High School Diploma | 15.8% (6,749) | 6.2% (5,554) |
Less than High School | 17.4% (7,427) | 7.9% (7,118) |
Bachelor's Degree and Higher | 22.4% (9,563) | 55.4% (49,805) |
Education Levels Comparison: Manassas vs Santa monica
- A higher percentage of residents in Manassas have no formal schooling at 3.0% compared to 1.1% in Santa monica.
- A higher percentage of residents in Manassas hold a high school diploma at 15.8% compared to 6.2% in Santa monica.
- More residents in Manassas have less than a high school education at 17.4% compared to 7.9% in Santa monica.
- In Santa monica, a larger share of residents have a bachelor's degree or higher at 55.4% compared to 22.4% in Manassas.
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.