Demographics details for Diamond bar, CA vs Forest, MS
Population Overview
Compare main population characteristics in Diamond bar, CA vs Forest, MS.
| Data | Diamond bar | Forest |
|---|---|---|
| Population | 52,855 | 5,330 |
| Median Age | 44.7 years | 36.4 years |
| Median Income | $106,881 | $50,093 |
| Married Families | 49.0% | 35.0% |
| Poverty Level | 8% | 18% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Diamond bar vs Forest
- In Diamond bar, the population is higher at 52,855, compared to 5,330 in Forest.
- Residents in Diamond bar have a higher median age of 44.7 years compared to 36.4 years in Forest.
- Diamond bar has a higher median income of $106,881 compared to $50,093 in Forest.
- A higher percentage of married families is found in Diamond bar at 49.0% compared to 35.0% in Forest.
- The poverty level is higher in Forest at 18%, compared to 8% in Diamond bar.
- The unemployment rate is the same in both Diamond bar and Forest at 4.5%.
Demographics
Demographics Diamond bar vs Forest provide insight into the diversity of the communities to compare.
| Demographic | Diamond bar | Forest |
|---|---|---|
| Black | 4 | 43 |
| White | 6 | 24 |
| Asian | 61 | Data is updating |
| Hispanic | 20 | 30 |
| Two or More Races | 8 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Diamond bar vs Forest
- In Forest, the percentage of Black residents is higher at 43% compared to 4% in Diamond bar.
- The percentage of White residents is higher in Forest at 24% compared to 6% in Diamond bar.
- The Asian population is larger in Diamond bar at 61% compared to 0% in Forest.
- Forest has a higher percentage of Hispanic residents at 30%, compared to 20% in Diamond bar.
- More residents identify as two or more races in Diamond bar at 8% compared to 3% in Forest.
- A greater percentage of American Indian residents live in Diamond bar at 1% compared to 0% in Forest.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Diamond bar | Forest |
|---|---|---|
| Mental Health Not Good | 11.4% | 18.9% |
| Physical Health Not Good | 7.3% | 16.8% |
| Depression | 11.7% | 21.2% |
| Smoking | 6.8% | 26.1% |
| Binge Drinking | 13.2% | 11.8% |
| Obesity | 19.3% | 45.7% |
| Disability Percentage | 8.0% | 20.0% |
Health Statistics Comparison: Diamond bar vs Forest
- In Forest, a higher percentage report poor mental health at 18.9% compared to 11.4% in Diamond bar.
- Higher depression rates are seen in Forest at 21.2% versus 11.7% in Diamond bar.
- Forest has a higher smoking rate at 26.1% compared to 6.8% in Diamond bar.
- Binge drinking is more common in Diamond bar at 13.2% compared to 11.8% in Forest.
- Forest has higher obesity rates at 45.7% compared to 19.3% in Diamond bar.
- There is a higher percentage of disabled individuals in Forest at 20.0% compared to 8.0% in Diamond bar.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Diamond bar | Forest |
|---|---|---|
| No Schooling | 2.4% (1,281) | 4.4% (232) |
| High School Diploma | 9.0% (4,746) | 10.5% (557) |
| Less than High School | 7.6% (4,036) | 33.4% (1,779) |
| Bachelor's Degree and Higher | 39.3% (20,796) | 8.5% (455) |
Education Levels Comparison: Diamond bar vs Forest
- In Forest, a larger percentage of residents lack formal schooling at 4.4% compared to 2.4% in Diamond bar.
- In Forest, the rate of residents with high school diplomas is higher at 10.5% compared to 9.0% in Diamond bar.
- The percentage of residents with less than a high school education is higher in Forest at 33.4%, compared to 7.6% in Diamond bar.
- A higher percentage of residents in Diamond bar hold a bachelor's degree or higher at 39.3% 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.