Demographics details for Milford, CT vs Bonita springs, FL
Population Overview
Compare main population characteristics in Milford, CT vs Bonita springs, FL.
Data | Milford | Bonita springs |
---|---|---|
Population | 50,471 | 56,370 |
Median Age | 46.6 years | 60.2 years |
Median Income | $104,503 | $84,668 |
Married Families | 45.0% | 54.0% |
Poverty Level | 5% | 8% |
Unemployment Rate | 4.2 | 3.1 |
Population Comparison: Milford vs Bonita springs
- The population in Bonita springs is higher at 56,370, compared to 50,471 in Milford.
- The median age in Bonita springs is higher at 60.2 years, compared to 46.6 years in Milford.
- Milford has a higher median income of $104,503 compared to $84,668 in Bonita springs.
- In Bonita springs, the percentage of married families is higher at 54.0%, compared to 45.0% in Milford.
- The poverty level is higher in Bonita springs at 8%, compared to 5% in Milford.
- The unemployment rate in Milford is higher at 4.2%, compared to 3.1% in Bonita springs.
Demographics
Demographics Milford vs Bonita springs provide insight into the diversity of the communities to compare.
Demographic | Milford | Bonita springs |
---|---|---|
Black | 2 | 2 |
White | 79 | 68 |
Asian | 5 | 1 |
Hispanic | 8 | 21 |
Two or More Races | 6 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Milford vs Bonita springs
- The percentage of Black residents is the same in both Milford and Bonita springs at 2%.
- Milford has a higher percentage of White residents at 79% compared to 68% in Bonita springs.
- The Asian population is larger in Milford at 5% compared to 1% in Bonita springs.
- Bonita springs has a higher percentage of Hispanic residents at 21%, compared to 8% in Milford.
- The percentage of residents identifying as two or more races is higher in Bonita springs at 8%, compared to 6% in Milford.
- The percentage of American Indian residents is the same in both Milford and Bonita springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Milford | Bonita springs |
---|---|---|
Mental Health Not Good | 13.2% | 14.4% |
Physical Health Not Good | 7.9% | 9.7% |
Depression | 20.5% | 17.7% |
Smoking | 12.7% | 16.1% |
Binge Drinking | 17.0% | 18.1% |
Obesity | 27.5% | 26.1% |
Disability Percentage | 10.0% | 12.0% |
Health Statistics Comparison: Milford vs Bonita springs
- In Bonita springs, a higher percentage report poor mental health at 14.4% compared to 13.2% in Milford.
- Depression is more prevalent in Milford at 20.5% compared to 17.7% in Bonita springs.
- Bonita springs has a higher smoking rate at 16.1% compared to 12.7% in Milford.
- More residents engage in binge drinking in Bonita springs at 18.1% compared to 17.0% in Milford.
- Obesity rates are higher in Milford at 27.5% compared to 26.1% in Bonita springs.
- There is a higher percentage of disabled individuals in Bonita springs at 12.0% 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 | Bonita springs |
---|---|---|
No Schooling | 0.7% (366) | 1.4% (810) |
High School Diploma | 16.7% (8,431) | 14.9% (8,384) |
Less than High School | 6.6% (3,307) | 15.7% (8,845) |
Bachelor's Degree and Higher | 36.0% (18,184) | 33.1% (18,684) |
Education Levels Comparison: Milford vs Bonita springs
- In Bonita springs, a larger percentage of residents lack formal schooling at 1.4% compared to 0.7% in Milford.
- A higher percentage of residents in Milford hold a high school diploma at 16.7% compared to 14.9% in Bonita springs.
- The percentage of residents with less than a high school education is higher in Bonita springs at 15.7%, 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 33.1% in Bonita springs.
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.