Demographics details for Whitehall, WI vs Redondo beach, CA
Population Overview
Compare main population characteristics in Whitehall, WI vs Redondo beach, CA.
Data | Whitehall | Redondo beach |
---|---|---|
Population | 1,632 | 68,918 |
Median Age | 36.8 years | 40.1 years |
Median Income | $56,894 | $134,033 |
Married Families | 30.0% | 42.0% |
Poverty Level | 7% | Data is updating |
Unemployment Rate | 3.6 | 5.0 |
Population Comparison: Whitehall vs Redondo beach
- The population in Redondo beach is higher at 68,918, compared to 1,632 in Whitehall.
- The median age in Redondo beach is higher at 40.1 years, compared to 36.8 years in Whitehall.
- Redondo beach has a higher median income of $134,033, compared to $56,894 in Whitehall.
- In Redondo beach, the percentage of married families is higher at 42.0%, compared to 30.0% in Whitehall.
- Whitehall has a higher poverty level at 7% compared to 0% in Redondo beach.
- Redondo beach has a higher unemployment rate at 5.0% compared to 3.6% in Whitehall.
Demographics
Demographics Whitehall vs Redondo beach provide insight into the diversity of the communities to compare.
Demographic | Whitehall | Redondo beach |
---|---|---|
Black | 1 | 3 |
White | 83 | 50 |
Asian | Data is updating | 17 |
Hispanic | 12 | 16 |
Two or More Races | 3 | 14 |
American Indian | 1 | Data is updating |
Demographics Comparison: Whitehall vs Redondo beach
- In Redondo beach, the percentage of Black residents is higher at 3% compared to 1% in Whitehall.
- Whitehall has a higher percentage of White residents at 83% compared to 50% in Redondo beach.
- In Redondo beach, the Asian population stands at 17%, greater than 0% in Whitehall.
- Redondo beach has a higher percentage of Hispanic residents at 16%, compared to 12% in Whitehall.
- The percentage of residents identifying as two or more races is higher in Redondo beach at 14%, compared to 3% in Whitehall.
- A greater percentage of American Indian residents live in Whitehall at 1% compared to 0% in Redondo beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Whitehall | Redondo beach |
---|---|---|
Mental Health Not Good | 15.2% | 12.7% |
Physical Health Not Good | 10.3% | 7.4% |
Depression | 24.0% | 15.8% |
Smoking | 16.7% | 6.9% |
Binge Drinking | 24.4% | 17.9% |
Obesity | 34.9% | 22.8% |
Disability Percentage | 15.0% | 6.0% |
Health Statistics Comparison: Whitehall vs Redondo beach
- More residents in Whitehall report poor mental health at 15.2% compared to 12.7% in Redondo beach.
- Depression is more prevalent in Whitehall at 24.0% compared to 15.8% in Redondo beach.
- Smoking is more prevalent in Whitehall at 16.7% compared to 6.9% in Redondo beach.
- Binge drinking is more common in Whitehall at 24.4% compared to 17.9% in Redondo beach.
- Obesity rates are higher in Whitehall at 34.9% compared to 22.8% in Redondo beach.
- Disability percentages are higher in Whitehall at 15.0% 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 | Whitehall | Redondo beach |
---|---|---|
No Schooling | 0.4% (7) | 0.7% (495) |
High School Diploma | 24.4% (398) | 6.8% (4,657) |
Less than High School | 15.7% (256) | 4.9% (3,375) |
Bachelor's Degree and Higher | 8.6% (141) | 48.0% (33,051) |
Education Levels Comparison: Whitehall vs Redondo beach
- In Redondo beach, a larger percentage of residents lack formal schooling at 0.7% compared to 0.4% in Whitehall.
- A higher percentage of residents in Whitehall hold a high school diploma at 24.4% compared to 6.8% in Redondo beach.
- More residents in Whitehall have less than a high school education at 15.7% 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 8.6% in Whitehall.
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.