Demographics details for Redondo beach, CA vs Columbia, SC
Population Overview
Compare main population characteristics in Redondo beach, CA vs Columbia, SC.
| Data | Redondo beach | Columbia |
|---|---|---|
| Population | 68,918 | 139,698 |
| Median Age | 40.1 years | 28.3 years |
| Median Income | $134,033 | $54,095 |
| Married Families | 42.0% | 25.0% |
| Poverty Level | Data is updating | 17% |
| Unemployment Rate | 5.0 | 5.8 |
Population Comparison: Redondo beach vs Columbia
- The population in Columbia is higher at 139,698, compared to 68,918 in Redondo beach.
- Residents in Redondo beach have a higher median age of 40.1 years compared to 28.3 years in Columbia.
- Redondo beach has a higher median income of $134,033 compared to $54,095 in Columbia.
- A higher percentage of married families is found in Redondo beach at 42.0% compared to 25.0% in Columbia.
- The poverty level is higher in Columbia at 17%, compared to 0% in Redondo beach.
- Columbia has a higher unemployment rate at 5.8% compared to 5.0% in Redondo beach.
Demographics
Demographics Redondo beach vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Redondo beach | Columbia |
|---|---|---|
| Black | 3 | 40 |
| White | 50 | 48 |
| Asian | 17 | 2 |
| Hispanic | 16 | 5 |
| Two or More Races | 14 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Redondo beach vs Columbia
- In Columbia, the percentage of Black residents is higher at 40% compared to 3% in Redondo beach.
- Redondo beach has a higher percentage of White residents at 50% compared to 48% in Columbia.
- The Asian population is larger in Redondo beach at 17% compared to 2% in Columbia.
- The Hispanic community is larger in Redondo beach at 16% compared to 5% in Columbia.
- More residents identify as two or more races in Redondo beach at 14% compared to 5% in Columbia.
- The percentage of American Indian residents is the same in both Redondo beach and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Redondo beach | Columbia |
|---|---|---|
| Mental Health Not Good | 12.7% | 18.6% |
| Physical Health Not Good | 7.4% | 13.1% |
| Depression | 15.8% | 20.8% |
| Smoking | 6.9% | 19.1% |
| Binge Drinking | 17.9% | 18.1% |
| Obesity | 22.8% | 39.0% |
| Disability Percentage | 6.0% | 11.0% |
Health Statistics Comparison: Redondo beach vs Columbia
- In Columbia, a higher percentage report poor mental health at 18.6% compared to 12.7% in Redondo beach.
- Higher depression rates are seen in Columbia at 20.8% versus 15.8% in Redondo beach.
- Columbia has a higher smoking rate at 19.1% compared to 6.9% in Redondo beach.
- More residents engage in binge drinking in Columbia at 18.1% compared to 17.9% in Redondo beach.
- Columbia has higher obesity rates at 39.0% compared to 22.8% in Redondo beach.
- There is a higher percentage of disabled individuals in Columbia at 11.0% 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 | Redondo beach | Columbia |
|---|---|---|
| No Schooling | 0.7% (495) | 0.4% (555) |
| High School Diploma | 6.8% (4,657) | 8.4% (11,712) |
| Less than High School | 4.9% (3,375) | 5.9% (8,257) |
| Bachelor's Degree and Higher | 48.0% (33,051) | 24.7% (34,575) |
Education Levels Comparison: Redondo beach vs Columbia
- A higher percentage of residents in Redondo beach have no formal schooling at 0.7% compared to 0.4% in Columbia.
- In Columbia, the rate of residents with high school diplomas is higher at 8.4% compared to 6.8% in Redondo beach.
- The percentage of residents with less than a high school education is higher in Columbia at 5.9%, compared to 4.9% in Redondo beach.
- A higher percentage of residents in Redondo beach hold a bachelor's degree or higher at 48.0% compared to 24.7% in Columbia.
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.