Demographics details for Forest, MS vs Redondo beach, CA
Population Overview
Compare main population characteristics in Forest, MS vs Redondo beach, CA.
| Data | Forest | Redondo beach |
|---|---|---|
| Population | 5,330 | 68,918 |
| Median Age | 36.4 years | 40.1 years |
| Median Income | $50,093 | $134,033 |
| Married Families | 35.0% | 42.0% |
| Poverty Level | 18% | Data is updating |
| Unemployment Rate | 4.5 | 5.0 |
Population Comparison: Forest vs Redondo beach
- The population in Redondo beach is higher at 68,918, compared to 5,330 in Forest.
- The median age in Redondo beach is higher at 40.1 years, compared to 36.4 years in Forest.
- Redondo beach has a higher median income of $134,033, compared to $50,093 in Forest.
- In Redondo beach, the percentage of married families is higher at 42.0%, compared to 35.0% in Forest.
- Forest has a higher poverty level at 18% compared to 0% in Redondo beach.
- Redondo beach has a higher unemployment rate at 5.0% compared to 4.5% in Forest.
Demographics
Demographics Forest vs Redondo beach provide insight into the diversity of the communities to compare.
| Demographic | Forest | Redondo beach |
|---|---|---|
| Black | 43 | 3 |
| White | 24 | 50 |
| Asian | Data is updating | 17 |
| Hispanic | 30 | 16 |
| Two or More Races | 3 | 14 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Forest vs Redondo beach
- A higher percentage of Black residents are in Forest at 43% compared to 3% in Redondo beach.
- The percentage of White residents is higher in Redondo beach at 50% compared to 24% in Forest.
- In Redondo beach, the Asian population stands at 17%, greater than 0% in Forest.
- The Hispanic community is larger in Forest at 30% 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 3% in Forest.
- The percentage of American Indian residents is the same in both Forest and Redondo beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Forest | Redondo beach |
|---|---|---|
| Mental Health Not Good | 18.9% | 12.7% |
| Physical Health Not Good | 16.8% | 7.4% |
| Depression | 21.2% | 15.8% |
| Smoking | 26.1% | 6.9% |
| Binge Drinking | 11.8% | 17.9% |
| Obesity | 45.7% | 22.8% |
| Disability Percentage | 20.0% | 6.0% |
Health Statistics Comparison: Forest vs Redondo beach
- More residents in Forest report poor mental health at 18.9% compared to 12.7% in Redondo beach.
- Depression is more prevalent in Forest at 21.2% compared to 15.8% in Redondo beach.
- Smoking is more prevalent in Forest at 26.1% compared to 6.9% in Redondo beach.
- More residents engage in binge drinking in Redondo beach at 17.9% compared to 11.8% in Forest.
- Obesity rates are higher in Forest at 45.7% compared to 22.8% in Redondo beach.
- Disability percentages are higher in Forest at 20.0% 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 | Forest | Redondo beach |
|---|---|---|
| No Schooling | 4.4% (232) | 0.7% (495) |
| High School Diploma | 10.5% (557) | 6.8% (4,657) |
| Less than High School | 33.4% (1,779) | 4.9% (3,375) |
| Bachelor's Degree and Higher | 8.5% (455) | 48.0% (33,051) |
Education Levels Comparison: Forest vs Redondo beach
- A higher percentage of residents in Forest have no formal schooling at 4.4% compared to 0.7% in Redondo beach.
- A higher percentage of residents in Forest hold a high school diploma at 10.5% compared to 6.8% in Redondo beach.
- More residents in Forest have less than a high school education at 33.4% 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 8.5% in Forest.
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.