Demographics details for Milford, CT vs Christiansburg, VA
Population Overview
Compare main population characteristics in Milford, CT vs Christiansburg, VA.
| Data | Milford | Christiansburg |
|---|---|---|
| Population | 50,471 | 22,562 |
| Median Age | 46.6 years | 39.1 years |
| Median Income | $104,503 | $71,468 |
| Married Families | 45.0% | 45.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Milford vs Christiansburg
- In Milford, the population is higher at 50,471, compared to 22,562 in Christiansburg.
- Residents in Milford have a higher median age of 46.6 years compared to 39.1 years in Christiansburg.
- Milford has a higher median income of $104,503 compared to $71,468 in Christiansburg.
- The percentage of married families is the same in both Milford and Christiansburg at 45.0%.
- The poverty level is higher in Christiansburg at 9%, compared to 5% in Milford.
- The unemployment rate in Milford is higher at 4.2%, compared to 3.2% in Christiansburg.
Demographics
Demographics Milford vs Christiansburg provide insight into the diversity of the communities to compare.
| Demographic | Milford | Christiansburg |
|---|---|---|
| Black | 2 | 5 |
| White | 79 | 84 |
| Asian | 5 | 4 |
| Hispanic | 8 | 3 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Milford vs Christiansburg
- In Christiansburg, the percentage of Black residents is higher at 5% compared to 2% in Milford.
- The percentage of White residents is higher in Christiansburg at 84% compared to 79% in Milford.
- The Asian population is larger in Milford at 5% compared to 4% in Christiansburg.
- The Hispanic community is larger in Milford at 8% compared to 3% in Christiansburg.
- More residents identify as two or more races in Milford at 6% compared to 4% in Christiansburg.
- The percentage of American Indian residents is the same in both Milford and Christiansburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Milford | Christiansburg |
|---|---|---|
| Mental Health Not Good | 13.2% | 16.1% |
| Physical Health Not Good | 7.9% | 9.9% |
| Depression | 20.5% | 25.8% |
| Smoking | 12.7% | 14.4% |
| Binge Drinking | 17.0% | 19.2% |
| Obesity | 27.5% | 30.3% |
| Disability Percentage | 10.0% | 17.0% |
Health Statistics Comparison: Milford vs Christiansburg
- In Christiansburg, a higher percentage report poor mental health at 16.1% compared to 13.2% in Milford.
- Higher depression rates are seen in Christiansburg at 25.8% versus 20.5% in Milford.
- Christiansburg has a higher smoking rate at 14.4% compared to 12.7% in Milford.
- More residents engage in binge drinking in Christiansburg at 19.2% compared to 17.0% in Milford.
- Christiansburg has higher obesity rates at 30.3% compared to 27.5% in Milford.
- There is a higher percentage of disabled individuals in Christiansburg at 17.0% compared to 10.0% in Milford.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Milford | Christiansburg |
|---|---|---|
| No Schooling | 0.7% (366) | 0.3% (66) |
| High School Diploma | 16.7% (8,431) | 14.0% (3,152) |
| Less than High School | 6.6% (3,307) | 8.1% (1,827) |
| Bachelor's Degree and Higher | 36.0% (18,184) | 31.9% (7,193) |
Education Levels Comparison: Milford vs Christiansburg
- A higher percentage of residents in Milford have no formal schooling at 0.7% compared to 0.3% in Christiansburg.
- A higher percentage of residents in Milford hold a high school diploma at 16.7% compared to 14.0% in Christiansburg.
- The percentage of residents with less than a high school education is higher in Christiansburg at 8.1%, compared to 6.6% in Milford.
- A higher percentage of residents in Milford hold a bachelor's degree or higher at 36.0% compared to 31.9% in Christiansburg.
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.