Demographics details for Berlin, NJ vs Bonita springs, FL
Population Overview
Compare main population characteristics in Berlin, NJ vs Bonita springs, FL.
| Data | Berlin | Bonita springs |
|---|---|---|
| Population | 7,506 | 56,370 |
| Median Age | 40.4 years | 60.2 years |
| Median Income | $98,706 | $84,668 |
| Married Families | 37.0% | 54.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.2 | 3.1 |
Population Comparison: Berlin vs Bonita springs
- The population in Bonita springs is higher at 56,370, compared to 7,506 in Berlin.
- The median age in Bonita springs is higher at 60.2 years, compared to 40.4 years in Berlin.
- Berlin has a higher median income of $98,706 compared to $84,668 in Bonita springs.
- In Bonita springs, the percentage of married families is higher at 54.0%, compared to 37.0% in Berlin.
- The poverty level is higher in Bonita springs at 8%, compared to 5% in Berlin.
- The unemployment rate in Berlin is higher at 3.2%, compared to 3.1% in Bonita springs.
Demographics
Demographics Berlin vs Bonita springs provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Bonita springs |
|---|---|---|
| Black | 12 | 2 |
| White | 76 | 68 |
| Asian | 1 | 1 |
| Hispanic | 5 | 21 |
| Two or More Races | 6 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Berlin vs Bonita springs
- A higher percentage of Black residents are in Berlin at 12% compared to 2% in Bonita springs.
- Berlin has a higher percentage of White residents at 76% compared to 68% in Bonita springs.
- Both Berlin and Bonita springs have the same percentage of Asian residents at 1%.
- Bonita springs has a higher percentage of Hispanic residents at 21%, compared to 5% in Berlin.
- The percentage of residents identifying as two or more races is higher in Bonita springs at 8%, compared to 6% in Berlin.
- The percentage of American Indian residents is the same in both Berlin and Bonita springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berlin | Bonita springs |
|---|---|---|
| Mental Health Not Good | 15.9% | 14.4% |
| Physical Health Not Good | 9.9% | 9.7% |
| Depression | 23.8% | 17.7% |
| Smoking | 14.6% | 16.1% |
| Binge Drinking | 19.5% | 18.1% |
| Obesity | 28.0% | 26.1% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Berlin vs Bonita springs
- More residents in Berlin report poor mental health at 15.9% compared to 14.4% in Bonita springs.
- Depression is more prevalent in Berlin at 23.8% compared to 17.7% in Bonita springs.
- Bonita springs has a higher smoking rate at 16.1% compared to 14.6% in Berlin.
- Binge drinking is more common in Berlin at 19.5% compared to 18.1% in Bonita springs.
- Obesity rates are higher in Berlin at 28.0% compared to 26.1% in Bonita springs.
- Disability percentages are higher in Berlin at 13.0% 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 | Berlin | Bonita springs |
|---|---|---|
| No Schooling | 0.4% (27) | 1.4% (810) |
| High School Diploma | 17.0% (1,279) | 14.9% (8,384) |
| Less than High School | 8.2% (612) | 15.7% (8,845) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 33.1% (18,684) |
Education Levels Comparison: Berlin vs Bonita springs
- In Bonita springs, a larger percentage of residents lack formal schooling at 1.4% compared to 0.4% in Berlin.
- A higher percentage of residents in Berlin hold a high school diploma at 17.0% 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 8.2% in Berlin.
- In Bonita springs, a larger share of residents have a bachelor's degree or higher at 33.1% compared to 22.7% in Berlin.
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.