Demographics details for Warren, MI vs Bonita springs, FL
Population Overview
Compare main population characteristics in Warren, MI vs Bonita springs, FL.
Data | Warren | Bonita springs |
---|---|---|
Population | 137,107 | 56,370 |
Median Age | 38.5 years | 60.2 years |
Median Income | $61,633 | $84,668 |
Married Families | 35.0% | 54.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 5.9 | 3.1 |
Population Comparison: Warren vs Bonita springs
- In Warren, the population is higher at 137,107, compared to 56,370 in Bonita springs.
- The median age in Bonita springs is higher at 60.2 years, compared to 38.5 years in Warren.
- Bonita springs has a higher median income of $84,668, compared to $61,633 in Warren.
- In Bonita springs, the percentage of married families is higher at 54.0%, compared to 35.0% in Warren.
- Warren has a higher poverty level at 10% compared to 8% in Bonita springs.
- The unemployment rate in Warren is higher at 5.9%, compared to 3.1% in Bonita springs.
Demographics
Demographics Warren vs Bonita springs provide insight into the diversity of the communities to compare.
Demographic | Warren | Bonita springs |
---|---|---|
Black | 20 | 2 |
White | 61 | 68 |
Asian | 11 | 1 |
Hispanic | 3 | 21 |
Two or More Races | 5 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Warren vs Bonita springs
- A higher percentage of Black residents are in Warren at 20% compared to 2% in Bonita springs.
- The percentage of White residents is higher in Bonita springs at 68% compared to 61% in Warren.
- The Asian population is larger in Warren at 11% compared to 1% in Bonita springs.
- Bonita springs has a higher percentage of Hispanic residents at 21%, compared to 3% in Warren.
- The percentage of residents identifying as two or more races is higher in Bonita springs at 8%, compared to 5% in Warren.
- The percentage of American Indian residents is the same in both Warren and Bonita springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Warren | Bonita springs |
---|---|---|
Mental Health Not Good | 19.4% | 14.4% |
Physical Health Not Good | 13.1% | 9.7% |
Depression | 26.2% | 17.7% |
Smoking | 23.5% | 16.1% |
Binge Drinking | 16.8% | 18.1% |
Obesity | 39.9% | 26.1% |
Disability Percentage | 16.0% | 12.0% |
Health Statistics Comparison: Warren vs Bonita springs
- More residents in Warren report poor mental health at 19.4% compared to 14.4% in Bonita springs.
- Depression is more prevalent in Warren at 26.2% compared to 17.7% in Bonita springs.
- Smoking is more prevalent in Warren at 23.5% compared to 16.1% in Bonita springs.
- More residents engage in binge drinking in Bonita springs at 18.1% compared to 16.8% in Warren.
- Obesity rates are higher in Warren at 39.9% compared to 26.1% in Bonita springs.
- Disability percentages are higher in Warren at 16.0% compared to 12.0% in Bonita springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Warren | Bonita springs |
---|---|---|
No Schooling | 2.2% (3,043) | 1.4% (810) |
High School Diploma | 20.2% (27,646) | 14.9% (8,384) |
Less than High School | 16.6% (22,733) | 15.7% (8,845) |
Bachelor's Degree and Higher | 14.3% (19,563) | 33.1% (18,684) |
Education Levels Comparison: Warren vs Bonita springs
- A higher percentage of residents in Warren have no formal schooling at 2.2% compared to 1.4% in Bonita springs.
- A higher percentage of residents in Warren hold a high school diploma at 20.2% compared to 14.9% in Bonita springs.
- More residents in Warren have less than a high school education at 16.6% compared to 15.7% in Bonita springs.
- In Bonita springs, a larger share of residents have a bachelor's degree or higher at 33.1% compared to 14.3% in Warren.
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.