Demographics details for Milford, CT vs Springfield, MA
Population Overview
Compare main population characteristics in Milford, CT vs Springfield, MA.
Data | Milford | Springfield |
---|---|---|
Population | 50,471 | 154,064 |
Median Age | 46.6 years | 33.4 years |
Median Income | $104,503 | $47,677 |
Married Families | 45.0% | 26.0% |
Poverty Level | 5% | 20% |
Unemployment Rate | 4.2 | 6.9 |
Population Comparison: Milford vs Springfield
- The population in Springfield is higher at 154,064, compared to 50,471 in Milford.
- Residents in Milford have a higher median age of 46.6 years compared to 33.4 years in Springfield.
- Milford has a higher median income of $104,503 compared to $47,677 in Springfield.
- A higher percentage of married families is found in Milford at 45.0% compared to 26.0% in Springfield.
- The poverty level is higher in Springfield at 20%, compared to 5% in Milford.
- Springfield has a higher unemployment rate at 6.9% compared to 4.2% in Milford.
Demographics
Demographics Milford vs Springfield provide insight into the diversity of the communities to compare.
Demographic | Milford | Springfield |
---|---|---|
Black | 2 | 21 |
White | 79 | 8 |
Asian | 5 | 3 |
Hispanic | 8 | 49 |
Two or More Races | 6 | 19 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Milford vs Springfield
- In Springfield, the percentage of Black residents is higher at 21% compared to 2% in Milford.
- Milford has a higher percentage of White residents at 79% compared to 8% in Springfield.
- The Asian population is larger in Milford at 5% compared to 3% in Springfield.
- Springfield has a higher percentage of Hispanic residents at 49%, compared to 8% in Milford.
- The percentage of residents identifying as two or more races is higher in Springfield at 19%, compared to 6% in Milford.
- The percentage of American Indian residents is the same in both Milford and Springfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Milford | Springfield |
---|---|---|
Mental Health Not Good | 13.2% | 21.2% |
Physical Health Not Good | 7.9% | 14.9% |
Depression | 20.5% | 25.8% |
Smoking | 12.7% | 19.9% |
Binge Drinking | 17.0% | 14.3% |
Obesity | 27.5% | 40.8% |
Disability Percentage | 10.0% | 19.0% |
Health Statistics Comparison: Milford vs Springfield
- In Springfield, a higher percentage report poor mental health at 21.2% compared to 13.2% in Milford.
- Higher depression rates are seen in Springfield at 25.8% versus 20.5% in Milford.
- Springfield has a higher smoking rate at 19.9% compared to 12.7% in Milford.
- Binge drinking is more common in Milford at 17.0% compared to 14.3% in Springfield.
- Springfield has higher obesity rates at 40.8% compared to 27.5% in Milford.
- There is a higher percentage of disabled individuals in Springfield at 19.0% 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 | Springfield |
---|---|---|
No Schooling | 0.7% (366) | 2.0% (3,005) |
High School Diploma | 16.7% (8,431) | 16.7% (25,679) |
Less than High School | 6.6% (3,307) | 23.8% (36,663) |
Bachelor's Degree and Higher | 36.0% (18,184) | 12.7% (19,500) |
Education Levels Comparison: Milford vs Springfield
- In Springfield, a larger percentage of residents lack formal schooling at 2.0% compared to 0.7% in Milford.
- Both cities have the same percentage of residents with high school diplomas at 16.7%.
- The percentage of residents with less than a high school education is higher in Springfield at 23.8%, 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 12.7% in Springfield.
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.