Demographics details for Bryan, OH vs Coconut creek, FL
Population Overview
Compare main population characteristics in Bryan, OH vs Coconut creek, FL.
| Data | Bryan | Coconut creek |
|---|---|---|
| Population | 8,623 | 57,348 |
| Median Age | 46.5 years | 42.4 years |
| Median Income | $51,415 | $72,740 |
| Married Families | 33.0% | 37.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Bryan vs Coconut creek
- The population in Coconut creek is higher at 57,348, compared to 8,623 in Bryan.
- Residents in Bryan have a higher median age of 46.5 years compared to 42.4 years in Coconut creek.
- Coconut creek has a higher median income of $72,740, compared to $51,415 in Bryan.
- In Coconut creek, the percentage of married families is higher at 37.0%, compared to 33.0% in Bryan.
- The poverty level is higher in Coconut creek at 10%, compared to 9% in Bryan.
- The unemployment rate in Bryan is higher at 4.2%, compared to 3.2% in Coconut creek.
Demographics
Demographics Bryan vs Coconut creek provide insight into the diversity of the communities to compare.
| Demographic | Bryan | Coconut creek |
|---|---|---|
| Black | 2 | 15 |
| White | 92 | 39 |
| Asian | 1 | 3 |
| Hispanic | 4 | 27 |
| Two or More Races | 1 | 16 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bryan vs Coconut creek
- In Coconut creek, the percentage of Black residents is higher at 15% compared to 2% in Bryan.
- Bryan has a higher percentage of White residents at 92% compared to 39% in Coconut creek.
- In Coconut creek, the Asian population stands at 3%, greater than 1% in Bryan.
- Coconut creek has a higher percentage of Hispanic residents at 27%, compared to 4% in Bryan.
- The percentage of residents identifying as two or more races is higher in Coconut creek at 16%, compared to 1% in Bryan.
- The percentage of American Indian residents is the same in both Bryan and Coconut creek at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bryan | Coconut creek |
|---|---|---|
| Mental Health Not Good | 17.5% | 15.4% |
| Physical Health Not Good | 11.5% | 9.9% |
| Depression | 23.2% | 17.8% |
| Smoking | 20.5% | 16.2% |
| Binge Drinking | 18.3% | 15.6% |
| Obesity | 41.8% | 27.5% |
| Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Bryan vs Coconut creek
- More residents in Bryan report poor mental health at 17.5% compared to 15.4% in Coconut creek.
- Depression is more prevalent in Bryan at 23.2% compared to 17.8% in Coconut creek.
- Smoking is more prevalent in Bryan at 20.5% compared to 16.2% in Coconut creek.
- Binge drinking is more common in Bryan at 18.3% compared to 15.6% in Coconut creek.
- Obesity rates are higher in Bryan at 41.8% compared to 27.5% in Coconut creek.
- Disability percentages are higher in Bryan at 16.0% compared to 11.0% in Coconut creek.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bryan | Coconut creek |
|---|---|---|
| No Schooling | 0.5% (45) | 1.4% (831) |
| High School Diploma | 27.7% (2,385) | 16.6% (9,506) |
| Less than High School | 16.1% (1,391) | 8.9% (5,111) |
| Bachelor's Degree and Higher | 11.4% (984) | 26.5% (15,196) |
Education Levels Comparison: Bryan vs Coconut creek
- In Coconut creek, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Bryan.
- A higher percentage of residents in Bryan hold a high school diploma at 27.7% compared to 16.6% in Coconut creek.
- More residents in Bryan have less than a high school education at 16.1% compared to 8.9% in Coconut creek.
- In Coconut creek, a larger share of residents have a bachelor's degree or higher at 26.5% compared to 11.4% in Bryan.
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.