Demographics details for Wellington, FL vs Diamond bar, CA
Population Overview
Compare main population characteristics in Wellington, FL vs Diamond bar, CA.
| Data | Wellington | Diamond bar |
|---|---|---|
| Population | 61,438 | 52,855 |
| Median Age | 41.5 years | 44.7 years |
| Median Income | $105,848 | $106,881 |
| Married Families | 45.0% | 49.0% |
| Poverty Level | 8% | 8% |
| Unemployment Rate | 3.3 | 4.5 |
Population Comparison: Wellington vs Diamond bar
- In Wellington, the population is higher at 61,438, compared to 52,855 in Diamond bar.
- The median age in Diamond bar is higher at 44.7 years, compared to 41.5 years in Wellington.
- Diamond bar has a higher median income of $106,881, compared to $105,848 in Wellington.
- In Diamond bar, the percentage of married families is higher at 49.0%, compared to 45.0% in Wellington.
- The poverty level is identical in both Wellington and Diamond bar at 8%.
- Diamond bar has a higher unemployment rate at 4.5% compared to 3.3% in Wellington.
Demographics
Demographics Wellington vs Diamond bar provide insight into the diversity of the communities to compare.
| Demographic | Wellington | Diamond bar |
|---|---|---|
| Black | 11 | 4 |
| White | 42 | 6 |
| Asian | 5 | 61 |
| Hispanic | 27 | 20 |
| Two or More Races | 15 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Wellington vs Diamond bar
- A higher percentage of Black residents are in Wellington at 11% compared to 4% in Diamond bar.
- Wellington 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 5% in Wellington.
- The Hispanic community is larger in Wellington at 27% compared to 20% in Diamond bar.
- More residents identify as two or more races in Wellington at 15% compared to 8% in Diamond bar.
- In Diamond bar, the percentage of American Indian residents is higher at 1%, compared to 0% in Wellington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wellington | Diamond bar |
|---|---|---|
| Mental Health Not Good | 14.1% | 11.4% |
| Physical Health Not Good | 8.5% | 7.3% |
| Depression | 17.2% | 11.7% |
| Smoking | 13.9% | 6.8% |
| Binge Drinking | 16.7% | 13.2% |
| Obesity | 24.0% | 19.3% |
| Disability Percentage | 9.0% | 8.0% |
Health Statistics Comparison: Wellington vs Diamond bar
- More residents in Wellington report poor mental health at 14.1% compared to 11.4% in Diamond bar.
- Depression is more prevalent in Wellington at 17.2% compared to 11.7% in Diamond bar.
- Smoking is more prevalent in Wellington at 13.9% compared to 6.8% in Diamond bar.
- Binge drinking is more common in Wellington at 16.7% compared to 13.2% in Diamond bar.
- Obesity rates are higher in Wellington at 24.0% compared to 19.3% in Diamond bar.
- Disability percentages are higher in Wellington at 9.0% 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 | Wellington | Diamond bar |
|---|---|---|
| No Schooling | 0.7% (431) | 2.4% (1,281) |
| High School Diploma | 10.3% (6,304) | 9.0% (4,746) |
| Less than High School | 6.9% (4,234) | 7.6% (4,036) |
| Bachelor's Degree and Higher | 32.5% (19,977) | 39.3% (20,796) |
Education Levels Comparison: Wellington vs Diamond bar
- In Diamond bar, a larger percentage of residents lack formal schooling at 2.4% compared to 0.7% in Wellington.
- A higher percentage of residents in Wellington hold a high school diploma at 10.3% compared to 9.0% in Diamond bar.
- The percentage of residents with less than a high school education is higher in Diamond bar at 7.6%, compared to 6.9% in Wellington.
- In Diamond bar, a larger share of residents have a bachelor's degree or higher at 39.3% compared to 32.5% in Wellington.
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.