Demographics details for Milford, CT vs Diamond bar, CA
Population Overview
Compare main population characteristics in Milford, CT vs Diamond bar, CA.
Data | Milford | Diamond bar |
---|---|---|
Population | 50,471 | 52,855 |
Median Age | 46.6 years | 44.7 years |
Median Income | $104,503 | $106,881 |
Married Families | 45.0% | 49.0% |
Poverty Level | 5% | 8% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Milford vs Diamond bar
- The population in Diamond bar is higher at 52,855, compared to 50,471 in Milford.
- Residents in Milford have a higher median age of 46.6 years compared to 44.7 years in Diamond bar.
- Diamond bar has a higher median income of $106,881, compared to $104,503 in Milford.
- In Diamond bar, the percentage of married families is higher at 49.0%, compared to 45.0% in Milford.
- The poverty level is higher in Diamond bar at 8%, compared to 5% in Milford.
- Diamond bar has a higher unemployment rate at 4.5% compared to 4.2% in Milford.
Demographics
Demographics Milford vs Diamond bar provide insight into the diversity of the communities to compare.
Demographic | Milford | Diamond bar |
---|---|---|
Black | 2 | 4 |
White | 79 | 6 |
Asian | 5 | 61 |
Hispanic | 8 | 20 |
Two or More Races | 6 | 8 |
American Indian | Data is updating | 1 |
Demographics Comparison: Milford vs Diamond bar
- In Diamond bar, the percentage of Black residents is higher at 4% compared to 2% in Milford.
- Milford has a higher percentage of White residents at 79% compared to 6% in Diamond bar.
- In Diamond bar, the Asian population stands at 61%, greater than 5% in Milford.
- Diamond bar has a higher percentage of Hispanic residents at 20%, compared to 8% in Milford.
- The percentage of residents identifying as two or more races is higher in Diamond bar at 8%, compared to 6% in Milford.
- In Diamond bar, the percentage of American Indian residents is higher at 1%, compared to 0% in Milford.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Milford | Diamond bar |
---|---|---|
Mental Health Not Good | 13.2% | 11.4% |
Physical Health Not Good | 7.9% | 7.3% |
Depression | 20.5% | 11.7% |
Smoking | 12.7% | 6.8% |
Binge Drinking | 17.0% | 13.2% |
Obesity | 27.5% | 19.3% |
Disability Percentage | 10.0% | 8.0% |
Health Statistics Comparison: Milford vs Diamond bar
- More residents in Milford report poor mental health at 13.2% compared to 11.4% in Diamond bar.
- Depression is more prevalent in Milford at 20.5% compared to 11.7% in Diamond bar.
- Smoking is more prevalent in Milford at 12.7% compared to 6.8% in Diamond bar.
- Binge drinking is more common in Milford at 17.0% compared to 13.2% in Diamond bar.
- Obesity rates are higher in Milford at 27.5% compared to 19.3% in Diamond bar.
- Disability percentages are higher in Milford at 10.0% 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 | Milford | Diamond bar |
---|---|---|
No Schooling | 0.7% (366) | 2.4% (1,281) |
High School Diploma | 16.7% (8,431) | 9.0% (4,746) |
Less than High School | 6.6% (3,307) | 7.6% (4,036) |
Bachelor's Degree and Higher | 36.0% (18,184) | 39.3% (20,796) |
Education Levels Comparison: Milford vs Diamond bar
- In Diamond bar, a larger percentage of residents lack formal schooling at 2.4% compared to 0.7% in Milford.
- A higher percentage of residents in Milford hold a high school diploma at 16.7% 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 6.6% in Milford.
- In Diamond bar, a larger share of residents have a bachelor's degree or higher at 39.3% compared to 36.0% in Milford.
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.