Demographics details for Musella, GA vs Milford, CT
Population Overview
Compare main population characteristics in Musella, GA vs Milford, CT.
| Data | Musella | Milford |
|---|---|---|
| Population | 222 | 50,471 |
| Median Age | 40.0 years | 46.6 years |
| Median Income | $55,000 | $104,503 |
| Married Families | 60.0% | 45.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Musella vs Milford
- The population in Milford is higher at 50,471, compared to 222 in Musella.
- The median age in Milford is higher at 46.6 years, compared to 40.0 years in Musella.
- Milford has a higher median income of $104,503, compared to $55,000 in Musella.
- A higher percentage of married families is found in Musella at 60.0% compared to 45.0% in Milford.
- Musella has a higher poverty level at 12% compared to 5% in Milford.
- The unemployment rate in Musella is higher at 4.5%, compared to 4.2% in Milford.
Demographics
Demographics Musella vs Milford provide insight into the diversity of the communities to compare.
| Demographic | Musella | Milford |
|---|---|---|
| Black | 15 | 2 |
| White | 80 | 79 |
| Asian | Data is updating | 5 |
| Hispanic | 5 | 8 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Musella vs Milford
- A higher percentage of Black residents are in Musella at 15% compared to 2% in Milford.
- Musella has a higher percentage of White residents at 80% compared to 79% in Milford.
- In Milford, the Asian population stands at 5%, greater than 0% in Musella.
- Milford has a higher percentage of Hispanic residents at 8%, compared to 5% in Musella.
- The percentage of residents identifying as two or more races is higher in Milford at 6%, compared to 0% in Musella.
- The percentage of American Indian residents is the same in both Musella and Milford at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Musella | Milford |
|---|---|---|
| Mental Health Not Good | Data is updating% | 13.2% |
| Physical Health Not Good | Data is updating% | 7.9% |
| Depression | Data is updating% | 20.5% |
| Smoking | Data is updating% | 12.7% |
| Binge Drinking | Data is updating% | 17.0% |
| Obesity | Data is updating% | 27.5% |
| Disability Percentage | Data is updating% | 10.0% |
Health Statistics Comparison: Musella vs Milford
- In Milford, a higher percentage report poor mental health at 13.2% compared to 0.0% in Musella.
- Higher depression rates are seen in Milford at 20.5% versus 0.0% in Musella.
- Milford has a higher smoking rate at 12.7% compared to 0.0% in Musella.
- More residents engage in binge drinking in Milford at 17.0% compared to 0.0% in Musella.
- Milford has higher obesity rates at 27.5% compared to 0.0% in Musella.
- There is a higher percentage of disabled individuals in Milford at 10.0% compared to 0.0% in Musella.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Musella | Milford |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (366) |
| High School Diploma | 0.0% (Data is updating) | 16.7% (8,431) |
| Less than High School | 0.0% (Data is updating) | 6.6% (3,307) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 36.0% (18,184) |
Education Levels Comparison: Musella vs Milford
- In Milford, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Musella.
- In Milford, the rate of residents with high school diplomas is higher at 16.7% compared to 0.0% in Musella.
- The percentage of residents with less than a high school education is higher in Milford at 6.6%, compared to 0.0% in Musella.
- In Milford, a larger share of residents have a bachelor's degree or higher at 36.0% compared to 0.0% in Musella.
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.