Demographics details for Canton, GA vs Redondo beach, CA
Population Overview
Compare main population characteristics in Canton, GA vs Redondo beach, CA.
Data | Canton | Redondo beach |
---|---|---|
Population | 35,809 | 68,918 |
Median Age | 34.6 years | 40.1 years |
Median Income | $75,414 | $134,033 |
Married Families | 39.0% | 42.0% |
Poverty Level | 9% | Data is updating |
Unemployment Rate | 3.2 | 5.0 |
Population Comparison: Canton vs Redondo beach
- The population in Redondo beach is higher at 68,918, compared to 35,809 in Canton.
- The median age in Redondo beach is higher at 40.1 years, compared to 34.6 years in Canton.
- Redondo beach has a higher median income of $134,033, compared to $75,414 in Canton.
- In Redondo beach, the percentage of married families is higher at 42.0%, compared to 39.0% in Canton.
- Canton has a higher poverty level at 9% compared to 0% in Redondo beach.
- Redondo beach has a higher unemployment rate at 5.0% compared to 3.2% in Canton.
Demographics
Demographics Canton vs Redondo beach provide insight into the diversity of the communities to compare.
Demographic | Canton | Redondo beach |
---|---|---|
Black | 12 | 3 |
White | 55 | 50 |
Asian | 1 | 17 |
Hispanic | 21 | 16 |
Two or More Races | 8 | 14 |
American Indian | 3 | Data is updating |
Demographics Comparison: Canton vs Redondo beach
- A higher percentage of Black residents are in Canton at 12% compared to 3% in Redondo beach.
- Canton has a higher percentage of White residents at 55% compared to 50% in Redondo beach.
- In Redondo beach, the Asian population stands at 17%, greater than 1% in Canton.
- The Hispanic community is larger in Canton at 21% compared to 16% in Redondo beach.
- The percentage of residents identifying as two or more races is higher in Redondo beach at 14%, compared to 8% in Canton.
- A greater percentage of American Indian residents live in Canton at 3% compared to 0% in Redondo beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Canton | Redondo beach |
---|---|---|
Mental Health Not Good | 15.8% | 12.7% |
Physical Health Not Good | 11.9% | 7.4% |
Depression | 21.8% | 15.8% |
Smoking | 16.0% | 6.9% |
Binge Drinking | 15.8% | 17.9% |
Obesity | 33.4% | 22.8% |
Disability Percentage | 10.0% | 6.0% |
Health Statistics Comparison: Canton vs Redondo beach
- More residents in Canton report poor mental health at 15.8% compared to 12.7% in Redondo beach.
- Depression is more prevalent in Canton at 21.8% compared to 15.8% in Redondo beach.
- Smoking is more prevalent in Canton at 16.0% compared to 6.9% in Redondo beach.
- More residents engage in binge drinking in Redondo beach at 17.9% compared to 15.8% in Canton.
- Obesity rates are higher in Canton at 33.4% compared to 22.8% in Redondo beach.
- Disability percentages are higher in Canton at 10.0% compared to 6.0% in Redondo beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Canton | Redondo beach |
---|---|---|
No Schooling | 3.5% (1,250) | 0.7% (495) |
High School Diploma | 10.1% (3,609) | 6.8% (4,657) |
Less than High School | 18.0% (6,437) | 4.9% (3,375) |
Bachelor's Degree and Higher | 19.7% (7,056) | 48.0% (33,051) |
Education Levels Comparison: Canton vs Redondo beach
- A higher percentage of residents in Canton have no formal schooling at 3.5% compared to 0.7% in Redondo beach.
- A higher percentage of residents in Canton hold a high school diploma at 10.1% compared to 6.8% in Redondo beach.
- More residents in Canton have less than a high school education at 18.0% compared to 4.9% in Redondo beach.
- In Redondo beach, a larger share of residents have a bachelor's degree or higher at 48.0% compared to 19.7% in Canton.
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.