Demographics details for Milford, CT vs Charlottesville, VA
Population Overview
Compare main population characteristics in Milford, CT vs Charlottesville, VA.
Data | Milford | Charlottesville |
---|---|---|
Population | 50,471 | 45,373 |
Median Age | 46.6 years | 32.4 years |
Median Income | $104,503 | $67,177 |
Married Families | 45.0% | 30.0% |
Poverty Level | 5% | 12% |
Unemployment Rate | 4.2 | 2.7 |
Population Comparison: Milford vs Charlottesville
- In Milford, the population is higher at 50,471, compared to 45,373 in Charlottesville.
- Residents in Milford have a higher median age of 46.6 years compared to 32.4 years in Charlottesville.
- Milford has a higher median income of $104,503 compared to $67,177 in Charlottesville.
- A higher percentage of married families is found in Milford at 45.0% compared to 30.0% in Charlottesville.
- The poverty level is higher in Charlottesville at 12%, compared to 5% in Milford.
- The unemployment rate in Milford is higher at 4.2%, compared to 2.7% in Charlottesville.
Demographics
Demographics Milford vs Charlottesville provide insight into the diversity of the communities to compare.
Demographic | Milford | Charlottesville |
---|---|---|
Black | 2 | 18 |
White | 79 | 63 |
Asian | 5 | 7 |
Hispanic | 8 | 6 |
Two or More Races | 6 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Milford vs Charlottesville
- In Charlottesville, the percentage of Black residents is higher at 18% compared to 2% in Milford.
- Milford has a higher percentage of White residents at 79% compared to 63% in Charlottesville.
- In Charlottesville, the Asian population stands at 7%, greater than 5% in Milford.
- The Hispanic community is larger in Milford at 8% compared to 6% in Charlottesville.
- Both Milford and Charlottesville have the same percentage of residents identifying as two or more races at 6%.
- The percentage of American Indian residents is the same in both Milford and Charlottesville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Milford | Charlottesville |
---|---|---|
Mental Health Not Good | 13.2% | 16.4% |
Physical Health Not Good | 7.9% | 10.5% |
Depression | 20.5% | 22.4% |
Smoking | 12.7% | 15.0% |
Binge Drinking | 17.0% | 16.7% |
Obesity | 27.5% | 32.9% |
Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Milford vs Charlottesville
- In Charlottesville, a higher percentage report poor mental health at 16.4% compared to 13.2% in Milford.
- Higher depression rates are seen in Charlottesville at 22.4% versus 20.5% in Milford.
- Charlottesville has a higher smoking rate at 15.0% compared to 12.7% in Milford.
- Binge drinking is more common in Milford at 17.0% compared to 16.7% in Charlottesville.
- Charlottesville has higher obesity rates at 32.9% compared to 27.5% in Milford.
- Disability percentages are higher in Milford at 10.0% compared to 9.0% in Charlottesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Milford | Charlottesville |
---|---|---|
No Schooling | 0.7% (366) | 1.1% (495) |
High School Diploma | 16.7% (8,431) | 7.8% (3,550) |
Less than High School | 6.6% (3,307) | 7.6% (3,427) |
Bachelor's Degree and Higher | 36.0% (18,184) | 38.2% (17,339) |
Education Levels Comparison: Milford vs Charlottesville
- In Charlottesville, a larger percentage of residents lack formal schooling at 1.1% compared to 0.7% in Milford.
- A higher percentage of residents in Milford hold a high school diploma at 16.7% compared to 7.8% in Charlottesville.
- The percentage of residents with less than a high school education is higher in Charlottesville at 7.6%, compared to 6.6% in Milford.
- In Charlottesville, a larger share of residents have a bachelor's degree or higher at 38.2% 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.