Demographics details for Baldwin, GA vs San clemente, CA
Population Overview
Compare main population characteristics in Baldwin, GA vs San clemente, CA.
Data | Baldwin | San clemente |
---|---|---|
Population | 3,866 | 63,457 |
Median Age | 29.8 years | 44.2 years |
Median Income | $48,234 | $134,730 |
Married Families | 32.0% | 49.0% |
Poverty Level | 15% | 7% |
Unemployment Rate | 3.2 | 3.8 |
Population Comparison: Baldwin vs San clemente
- The population in San clemente is higher at 63,457, compared to 3,866 in Baldwin.
- The median age in San clemente is higher at 44.2 years, compared to 29.8 years in Baldwin.
- San clemente has a higher median income of $134,730, compared to $48,234 in Baldwin.
- In San clemente, the percentage of married families is higher at 49.0%, compared to 32.0% in Baldwin.
- Baldwin has a higher poverty level at 15% compared to 7% in San clemente.
- San clemente has a higher unemployment rate at 3.8% compared to 3.2% in Baldwin.
Demographics
Demographics Baldwin vs San clemente provide insight into the diversity of the communities to compare.
Demographic | Baldwin | San clemente |
---|---|---|
Black | 1 | 2 |
White | 1 | 64 |
Asian | 1 | 5 |
Hispanic | 64 | 17 |
Two or More Races | 28 | 12 |
American Indian | 5 | Data is updating |
Demographics Comparison: Baldwin vs San clemente
- In San clemente, the percentage of Black residents is higher at 2% compared to 1% in Baldwin.
- The percentage of White residents is higher in San clemente at 64% compared to 1% in Baldwin.
- In San clemente, the Asian population stands at 5%, greater than 1% in Baldwin.
- The Hispanic community is larger in Baldwin at 64% compared to 17% in San clemente.
- More residents identify as two or more races in Baldwin at 28% compared to 12% in San clemente.
- A greater percentage of American Indian residents live in Baldwin at 5% compared to 0% in San clemente.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Baldwin | San clemente |
---|---|---|
Mental Health Not Good | 18.8% | 14.2% |
Physical Health Not Good | 15.3% | 8.6% |
Depression | 23.3% | 18.9% |
Smoking | 21.3% | 8.9% |
Binge Drinking | 14.6% | 19.0% |
Obesity | 35.3% | 25.4% |
Disability Percentage | 8.0% | 9.0% |
Health Statistics Comparison: Baldwin vs San clemente
- More residents in Baldwin report poor mental health at 18.8% compared to 14.2% in San clemente.
- Depression is more prevalent in Baldwin at 23.3% compared to 18.9% in San clemente.
- Smoking is more prevalent in Baldwin at 21.3% compared to 8.9% in San clemente.
- More residents engage in binge drinking in San clemente at 19.0% compared to 14.6% in Baldwin.
- Obesity rates are higher in Baldwin at 35.3% compared to 25.4% in San clemente.
- There is a higher percentage of disabled individuals in San clemente at 9.0% compared to 8.0% in Baldwin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Baldwin | San clemente |
---|---|---|
No Schooling | 4.0% (155) | 0.9% (574) |
High School Diploma | 10.6% (409) | 8.4% (5,352) |
Less than High School | 42.2% (1,633) | 7.8% (4,957) |
Bachelor's Degree and Higher | 10.1% (392) | 36.1% (22,911) |
Education Levels Comparison: Baldwin vs San clemente
- A higher percentage of residents in Baldwin have no formal schooling at 4.0% compared to 0.9% in San clemente.
- A higher percentage of residents in Baldwin hold a high school diploma at 10.6% compared to 8.4% in San clemente.
- More residents in Baldwin have less than a high school education at 42.2% compared to 7.8% in San clemente.
- In San clemente, a larger share of residents have a bachelor's degree or higher at 36.1% compared to 10.1% in Baldwin.
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.