Demographics details for Kingman, AZ vs Redondo beach, CA
Population Overview
Compare main population characteristics in Kingman, AZ vs Redondo beach, CA.
| Data | Kingman | Redondo beach |
|---|---|---|
| Population | 34,918 | 68,918 |
| Median Age | 42.1 years | 40.1 years |
| Median Income | $56,360 | $134,033 |
| Married Families | 37.0% | 42.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 4.2 | 5.0 |
Population Comparison: Kingman vs Redondo beach
- The population in Redondo beach is higher at 68,918, compared to 34,918 in Kingman.
- Residents in Kingman have a higher median age of 42.1 years compared to 40.1 years in Redondo beach.
- Redondo beach has a higher median income of $134,033, compared to $56,360 in Kingman.
- In Redondo beach, the percentage of married families is higher at 42.0%, compared to 37.0% in Kingman.
- Kingman has a higher poverty level at 12% compared to 0% in Redondo beach.
- Redondo beach has a higher unemployment rate at 5.0% compared to 4.2% in Kingman.
Demographics
Demographics Kingman vs Redondo beach provide insight into the diversity of the communities to compare.
| Demographic | Kingman | Redondo beach |
|---|---|---|
| Black | 2 | 3 |
| White | 72 | 50 |
| Asian | 2 | 17 |
| Hispanic | 16 | 16 |
| Two or More Races | 7 | 14 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kingman vs Redondo beach
- In Redondo beach, the percentage of Black residents is higher at 3% compared to 2% in Kingman.
- Kingman has a higher percentage of White residents at 72% compared to 50% in Redondo beach.
- In Redondo beach, the Asian population stands at 17%, greater than 2% in Kingman.
- The percentage of Hispanic residents is the same in both Kingman and Redondo beach at 16%.
- The percentage of residents identifying as two or more races is higher in Redondo beach at 14%, compared to 7% in Kingman.
- A greater percentage of American Indian residents live in Kingman at 1% compared to 0% in Redondo beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingman | Redondo beach |
|---|---|---|
| Mental Health Not Good | 18.2% | 12.7% |
| Physical Health Not Good | 12.4% | 7.4% |
| Depression | 21.2% | 15.8% |
| Smoking | 19.1% | 6.9% |
| Binge Drinking | 18.5% | 17.9% |
| Obesity | 34.5% | 22.8% |
| Disability Percentage | 18.0% | 6.0% |
Health Statistics Comparison: Kingman vs Redondo beach
- More residents in Kingman report poor mental health at 18.2% compared to 12.7% in Redondo beach.
- Depression is more prevalent in Kingman at 21.2% compared to 15.8% in Redondo beach.
- Smoking is more prevalent in Kingman at 19.1% compared to 6.9% in Redondo beach.
- Binge drinking is more common in Kingman at 18.5% compared to 17.9% in Redondo beach.
- Obesity rates are higher in Kingman at 34.5% compared to 22.8% in Redondo beach.
- Disability percentages are higher in Kingman at 18.0% 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 | Kingman | Redondo beach |
|---|---|---|
| No Schooling | 0.8% (266) | 0.7% (495) |
| High School Diploma | 15.7% (5,487) | 6.8% (4,657) |
| Less than High School | 13.6% (4,744) | 4.9% (3,375) |
| Bachelor's Degree and Higher | 13.7% (4,777) | 48.0% (33,051) |
Education Levels Comparison: Kingman vs Redondo beach
- A higher percentage of residents in Kingman have no formal schooling at 0.8% compared to 0.7% in Redondo beach.
- A higher percentage of residents in Kingman hold a high school diploma at 15.7% compared to 6.8% in Redondo beach.
- More residents in Kingman have less than a high school education at 13.6% 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 13.7% in Kingman.
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.