Demographics details for Miller, NE vs Bonita springs, FL
Population Overview
Compare main population characteristics in Miller, NE vs Bonita springs, FL.
Data | Miller | Bonita springs |
---|---|---|
Population | 129 | 56,370 |
Median Age | 41.2 years | 60.2 years |
Median Income | $60,000 | $84,668 |
Married Families | 29.0% | 54.0% |
Poverty Level | Data is updating | 8% |
Unemployment Rate | Data is updating | 3.1 |
Population Comparison: Miller vs Bonita springs
- The population in Bonita springs is higher at 56,370, compared to 129 in Miller.
- The median age in Bonita springs is higher at 60.2 years, compared to 41.2 years in Miller.
- Bonita springs has a higher median income of $84,668, compared to $60,000 in Miller.
- In Bonita springs, the percentage of married families is higher at 54.0%, compared to 29.0% in Miller.
- The poverty level is higher in Bonita springs at 8%, compared to 0% in Miller.
- Bonita springs has a higher unemployment rate at 3.1% compared to 0.0% in Miller.
Demographics
Demographics Miller vs Bonita springs provide insight into the diversity of the communities to compare.
Demographic | Miller | Bonita springs |
---|---|---|
Black | 3 | 2 |
White | 82 | 68 |
Asian | Data is updating | 1 |
Hispanic | 15 | 21 |
Two or More Races | Data is updating | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Miller vs Bonita springs
- A higher percentage of Black residents are in Miller at 3% compared to 2% in Bonita springs.
- Miller has a higher percentage of White residents at 82% compared to 68% in Bonita springs.
- In Bonita springs, the Asian population stands at 1%, greater than 0% in Miller.
- Bonita springs has a higher percentage of Hispanic residents at 21%, compared to 15% in Miller.
- The percentage of residents identifying as two or more races is higher in Bonita springs at 8%, compared to 0% in Miller.
- The percentage of American Indian residents is the same in both Miller and Bonita springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Miller | Bonita springs |
---|---|---|
Mental Health Not Good | 13.0% | 14.4% |
Physical Health Not Good | 9.1% | 9.7% |
Depression | 18.1% | 17.7% |
Smoking | 15.5% | 16.1% |
Binge Drinking | 22.9% | 18.1% |
Obesity | 39.5% | 26.1% |
Disability Percentage | 31.0% | 12.0% |
Health Statistics Comparison: Miller vs Bonita springs
- In Bonita springs, a higher percentage report poor mental health at 14.4% compared to 13.0% in Miller.
- Depression is more prevalent in Miller at 18.1% compared to 17.7% in Bonita springs.
- Bonita springs has a higher smoking rate at 16.1% compared to 15.5% in Miller.
- Binge drinking is more common in Miller at 22.9% compared to 18.1% in Bonita springs.
- Obesity rates are higher in Miller at 39.5% compared to 26.1% in Bonita springs.
- Disability percentages are higher in Miller at 31.0% 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 | Miller | Bonita springs |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.4% (810) |
High School Diploma | 19.4% (25) | 14.9% (8,384) |
Less than High School | 15.5% (20) | 15.7% (8,845) |
Bachelor's Degree and Higher | 17.8% (23) | 33.1% (18,684) |
Education Levels Comparison: Miller vs Bonita springs
- In Bonita springs, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Miller.
- A higher percentage of residents in Miller hold a high school diploma at 19.4% 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 15.5% in Miller.
- In Bonita springs, a larger share of residents have a bachelor's degree or higher at 33.1% compared to 17.8% in Miller.
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.