Demographics details for New roads, LA vs Diamond bar, CA
Population Overview
Compare main population characteristics in New roads, LA vs Diamond bar, CA.
| Data | New roads | Diamond bar |
|---|---|---|
| Population | 4,383 | 52,855 |
| Median Age | 46.5 years | 44.7 years |
| Median Income | $47,792 | $106,881 |
| Married Families | 32.0% | 49.0% |
| Poverty Level | 20% | 8% |
| Unemployment Rate | 5.0 | 4.5 |
Population Comparison: New roads vs Diamond bar
- The population in Diamond bar is higher at 52,855, compared to 4,383 in New roads.
- Residents in New roads have a higher median age of 46.5 years compared to 44.7 years in Diamond bar.
- Diamond bar has a higher median income of $106,881, compared to $47,792 in New roads.
- In Diamond bar, the percentage of married families is higher at 49.0%, compared to 32.0% in New roads.
- New roads has a higher poverty level at 20% compared to 8% in Diamond bar.
- The unemployment rate in New roads is higher at 5.0%, compared to 4.5% in Diamond bar.
Demographics
Demographics New roads vs Diamond bar provide insight into the diversity of the communities to compare.
| Demographic | New roads | Diamond bar |
|---|---|---|
| Black | 53 | 4 |
| White | 42 | 6 |
| Asian | 1 | 61 |
| Hispanic | Data is updating | 20 |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: New roads vs Diamond bar
- A higher percentage of Black residents are in New roads at 53% compared to 4% in Diamond bar.
- New roads has a higher percentage of White residents at 42% compared to 6% in Diamond bar.
- In Diamond bar, the Asian population stands at 61%, greater than 1% in New roads.
- Diamond bar has a higher percentage of Hispanic residents at 20%, compared to 0% in New roads.
- The percentage of residents identifying as two or more races is higher in Diamond bar at 8%, compared to 4% in New roads.
- In Diamond bar, the percentage of American Indian residents is higher at 1%, compared to 0% in New roads.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | New roads | Diamond bar |
|---|---|---|
| Mental Health Not Good | 19.9% | 11.4% |
| Physical Health Not Good | 14.1% | 7.3% |
| Depression | 25.9% | 11.7% |
| Smoking | 22.8% | 6.8% |
| Binge Drinking | 16.2% | 13.2% |
| Obesity | 42.7% | 19.3% |
| Disability Percentage | 31.0% | 8.0% |
Health Statistics Comparison: New roads vs Diamond bar
- More residents in New roads report poor mental health at 19.9% compared to 11.4% in Diamond bar.
- Depression is more prevalent in New roads at 25.9% compared to 11.7% in Diamond bar.
- Smoking is more prevalent in New roads at 22.8% compared to 6.8% in Diamond bar.
- Binge drinking is more common in New roads at 16.2% compared to 13.2% in Diamond bar.
- Obesity rates are higher in New roads at 42.7% compared to 19.3% in Diamond bar.
- Disability percentages are higher in New roads at 31.0% 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 | New roads | Diamond bar |
|---|---|---|
| No Schooling | 0.5% (23) | 2.4% (1,281) |
| High School Diploma | 28.7% (1,260) | 9.0% (4,746) |
| Less than High School | 16.0% (701) | 7.6% (4,036) |
| Bachelor's Degree and Higher | 12.8% (559) | 39.3% (20,796) |
Education Levels Comparison: New roads vs Diamond bar
- In Diamond bar, a larger percentage of residents lack formal schooling at 2.4% compared to 0.5% in New roads.
- A higher percentage of residents in New roads hold a high school diploma at 28.7% compared to 9.0% in Diamond bar.
- More residents in New roads have less than a high school education at 16.0% compared to 7.6% in Diamond bar.
- In Diamond bar, a larger share of residents have a bachelor's degree or higher at 39.3% compared to 12.8% in New roads.
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.