Demographics details for San clemente, CA vs Staunton, VA
Population Overview
Compare main population characteristics in San clemente, CA vs Staunton, VA.
Data | San clemente | Staunton |
---|---|---|
Population | 63,457 | 25,904 |
Median Age | 44.2 years | 41.0 years |
Median Income | $134,730 | $59,731 |
Married Families | 49.0% | 35.0% |
Poverty Level | 7% | 10% |
Unemployment Rate | 3.8 | 3.0 |
Population Comparison: San clemente vs Staunton
- In San clemente, the population is higher at 63,457, compared to 25,904 in Staunton.
- Residents in San clemente have a higher median age of 44.2 years compared to 41.0 years in Staunton.
- San clemente has a higher median income of $134,730 compared to $59,731 in Staunton.
- A higher percentage of married families is found in San clemente at 49.0% compared to 35.0% in Staunton.
- The poverty level is higher in Staunton at 10%, compared to 7% in San clemente.
- The unemployment rate in San clemente is higher at 3.8%, compared to 3.0% in Staunton.
Demographics
Demographics San clemente vs Staunton provide insight into the diversity of the communities to compare.
Demographic | San clemente | Staunton |
---|---|---|
Black | 2 | 11 |
White | 64 | 79 |
Asian | 5 | 1 |
Hispanic | 17 | 4 |
Two or More Races | 12 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: San clemente vs Staunton
- In Staunton, the percentage of Black residents is higher at 11% compared to 2% in San clemente.
- The percentage of White residents is higher in Staunton at 79% compared to 64% in San clemente.
- The Asian population is larger in San clemente at 5% compared to 1% in Staunton.
- The Hispanic community is larger in San clemente at 17% compared to 4% in Staunton.
- More residents identify as two or more races in San clemente at 12% compared to 5% in Staunton.
- The percentage of American Indian residents is the same in both San clemente and Staunton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | San clemente | Staunton |
---|---|---|
Mental Health Not Good | 14.2% | 16.8% |
Physical Health Not Good | 8.6% | 10.6% |
Depression | 18.9% | 24.3% |
Smoking | 8.9% | 16.3% |
Binge Drinking | 19.0% | 17.5% |
Obesity | 25.4% | 35.2% |
Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: San clemente vs Staunton
- In Staunton, a higher percentage report poor mental health at 16.8% compared to 14.2% in San clemente.
- Higher depression rates are seen in Staunton at 24.3% versus 18.9% in San clemente.
- Staunton has a higher smoking rate at 16.3% compared to 8.9% in San clemente.
- Binge drinking is more common in San clemente at 19.0% compared to 17.5% in Staunton.
- Staunton has higher obesity rates at 35.2% compared to 25.4% in San clemente.
- There is a higher percentage of disabled individuals in Staunton at 15.0% compared to 9.0% in San clemente.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | San clemente | Staunton |
---|---|---|
No Schooling | 0.9% (574) | 0.6% (163) |
High School Diploma | 8.4% (5,352) | 17.4% (4,506) |
Less than High School | 7.8% (4,957) | 9.5% (2,465) |
Bachelor's Degree and Higher | 36.1% (22,911) | 23.8% (6,161) |
Education Levels Comparison: San clemente vs Staunton
- A higher percentage of residents in San clemente have no formal schooling at 0.9% compared to 0.6% in Staunton.
- In Staunton, the rate of residents with high school diplomas is higher at 17.4% compared to 8.4% in San clemente.
- The percentage of residents with less than a high school education is higher in Staunton at 9.5%, compared to 7.8% in San clemente.
- A higher percentage of residents in San clemente hold a bachelor's degree or higher at 36.1% compared to 23.8% in Staunton.
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.