Demographics details for San clemente, CA vs Woodstock, GA
Population Overview
Compare main population characteristics in San clemente, CA vs Woodstock, GA.
| Data | San clemente | Woodstock |
|---|---|---|
| Population | 63,457 | 37,350 |
| Median Age | 44.2 years | 36.4 years |
| Median Income | $134,730 | $100,913 |
| Married Families | 49.0% | 40.0% |
| Poverty Level | 7% | 5% |
| Unemployment Rate | 3.8 | 3.4 |
Population Comparison: San clemente vs Woodstock
- In San clemente, the population is higher at 63,457, compared to 37,350 in Woodstock.
- Residents in San clemente have a higher median age of 44.2 years compared to 36.4 years in Woodstock.
- San clemente has a higher median income of $134,730 compared to $100,913 in Woodstock.
- A higher percentage of married families is found in San clemente at 49.0% compared to 40.0% in Woodstock.
- San clemente has a higher poverty level at 7% compared to 5% in Woodstock.
- The unemployment rate in San clemente is higher at 3.8%, compared to 3.4% in Woodstock.
Demographics
Demographics San clemente vs Woodstock provide insight into the diversity of the communities to compare.
| Demographic | San clemente | Woodstock |
|---|---|---|
| Black | 2 | 11 |
| White | 64 | 69 |
| Asian | 5 | 3 |
| Hispanic | 17 | 9 |
| Two or More Races | 12 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: San clemente vs Woodstock
- In Woodstock, the percentage of Black residents is higher at 11% compared to 2% in San clemente.
- The percentage of White residents is higher in Woodstock at 69% compared to 64% in San clemente.
- The Asian population is larger in San clemente at 5% compared to 3% in Woodstock.
- The Hispanic community is larger in San clemente at 17% compared to 9% in Woodstock.
- More residents identify as two or more races in San clemente at 12% compared to 8% in Woodstock.
- The percentage of American Indian residents is the same in both San clemente and Woodstock at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | San clemente | Woodstock |
|---|---|---|
| Mental Health Not Good | 14.2% | 14.1% |
| Physical Health Not Good | 8.6% | 9.4% |
| Depression | 18.9% | 20.8% |
| Smoking | 8.9% | 12.1% |
| Binge Drinking | 19.0% | 16.5% |
| Obesity | 25.4% | 30.2% |
| Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: San clemente vs Woodstock
- More residents in San clemente report poor mental health at 14.2% compared to 14.1% in Woodstock.
- Higher depression rates are seen in Woodstock at 20.8% versus 18.9% in San clemente.
- Woodstock has a higher smoking rate at 12.1% compared to 8.9% in San clemente.
- Binge drinking is more common in San clemente at 19.0% compared to 16.5% in Woodstock.
- Woodstock has higher obesity rates at 30.2% compared to 25.4% in San clemente.
- Disability percentages are the same in both San clemente and Woodstock at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | San clemente | Woodstock |
|---|---|---|
| No Schooling | 0.9% (574) | 0.3% (107) |
| High School Diploma | 8.4% (5,352) | 8.2% (3,052) |
| Less than High School | 7.8% (4,957) | 3.7% (1,375) |
| Bachelor's Degree and Higher | 36.1% (22,911) | 32.9% (12,290) |
Education Levels Comparison: San clemente vs Woodstock
- A higher percentage of residents in San clemente have no formal schooling at 0.9% compared to 0.3% in Woodstock.
- A higher percentage of residents in San clemente hold a high school diploma at 8.4% compared to 8.2% in Woodstock.
- More residents in San clemente have less than a high school education at 7.8% compared to 3.7% in Woodstock.
- A higher percentage of residents in San clemente hold a bachelor's degree or higher at 36.1% compared to 32.9% in Woodstock.
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.