Demographics details for Diamond bar, CA vs Eau claire, WI
Population Overview
Compare main population characteristics in Diamond bar, CA vs Eau claire, WI.
Data | Diamond bar | Eau claire |
---|---|---|
Population | 52,855 | 69,737 |
Median Age | 44.7 years | 32.8 years |
Median Income | $106,881 | $63,882 |
Married Families | 49.0% | 34.0% |
Poverty Level | 8% | 10% |
Unemployment Rate | 4.5 | 3.0 |
Population Comparison: Diamond bar vs Eau claire
- The population in Eau claire is higher at 69,737, compared to 52,855 in Diamond bar.
- Residents in Diamond bar have a higher median age of 44.7 years compared to 32.8 years in Eau claire.
- Diamond bar has a higher median income of $106,881 compared to $63,882 in Eau claire.
- A higher percentage of married families is found in Diamond bar at 49.0% compared to 34.0% in Eau claire.
- The poverty level is higher in Eau claire at 10%, compared to 8% in Diamond bar.
- The unemployment rate in Diamond bar is higher at 4.5%, compared to 3.0% in Eau claire.
Demographics
Demographics Diamond bar vs Eau claire provide insight into the diversity of the communities to compare.
Demographic | Diamond bar | Eau claire |
---|---|---|
Black | 4 | 1 |
White | 6 | 86 |
Asian | 61 | 6 |
Hispanic | 20 | 3 |
Two or More Races | 8 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Diamond bar vs Eau claire
- A higher percentage of Black residents are in Diamond bar at 4% compared to 1% in Eau claire.
- The percentage of White residents is higher in Eau claire at 86% compared to 6% in Diamond bar.
- The Asian population is larger in Diamond bar at 61% compared to 6% in Eau claire.
- The Hispanic community is larger in Diamond bar at 20% compared to 3% in Eau claire.
- More residents identify as two or more races in Diamond bar at 8% compared to 4% in Eau claire.
- A greater percentage of American Indian residents live in Diamond bar at 1% compared to 0% in Eau claire.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Diamond bar | Eau claire |
---|---|---|
Mental Health Not Good | 11.4% | 15.3% |
Physical Health Not Good | 7.3% | 9.8% |
Depression | 11.7% | 23.6% |
Smoking | 6.8% | 15.2% |
Binge Drinking | 13.2% | 24.8% |
Obesity | 19.3% | 32.2% |
Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Diamond bar vs Eau claire
- In Eau claire, a higher percentage report poor mental health at 15.3% compared to 11.4% in Diamond bar.
- Higher depression rates are seen in Eau claire at 23.6% versus 11.7% in Diamond bar.
- Eau claire has a higher smoking rate at 15.2% compared to 6.8% in Diamond bar.
- More residents engage in binge drinking in Eau claire at 24.8% compared to 13.2% in Diamond bar.
- Eau claire has higher obesity rates at 32.2% compared to 19.3% in Diamond bar.
- There is a higher percentage of disabled individuals in Eau claire at 13.0% 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 | Eau claire |
---|---|---|
No Schooling | 2.4% (1,281) | 0.5% (340) |
High School Diploma | 9.0% (4,746) | 14.2% (9,934) |
Less than High School | 7.6% (4,036) | 3.7% (2,573) |
Bachelor's Degree and Higher | 39.3% (20,796) | 21.6% (15,073) |
Education Levels Comparison: Diamond bar vs Eau claire
- A higher percentage of residents in Diamond bar have no formal schooling at 2.4% compared to 0.5% in Eau claire.
- In Eau claire, the rate of residents with high school diplomas is higher at 14.2% compared to 9.0% in Diamond bar.
- More residents in Diamond bar have less than a high school education at 7.6% compared to 3.7% in Eau claire.
- A higher percentage of residents in Diamond bar hold a bachelor's degree or higher at 39.3% compared to 21.6% in Eau claire.
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.