Demographics details for Boyle, MS vs Wellington, FL
Population Overview
Compare main population characteristics in Boyle, MS vs Wellington, FL.
| Data | Boyle | Wellington |
|---|---|---|
| Population | 499 | 61,438 |
| Median Age | 36.7 years | 41.5 years |
| Median Income | $33,750 | $105,848 |
| Married Families | 25.0% | 45.0% |
| Poverty Level | 20% | 8% |
| Unemployment Rate | 4.5 | 3.3 |
Population Comparison: Boyle vs Wellington
- The population in Wellington is higher at 61,438, compared to 499 in Boyle.
- The median age in Wellington is higher at 41.5 years, compared to 36.7 years in Boyle.
- Wellington has a higher median income of $105,848, compared to $33,750 in Boyle.
- In Wellington, the percentage of married families is higher at 45.0%, compared to 25.0% in Boyle.
- Boyle has a higher poverty level at 20% compared to 8% in Wellington.
- The unemployment rate in Boyle is higher at 4.5%, compared to 3.3% in Wellington.
Demographics
Demographics Boyle vs Wellington provide insight into the diversity of the communities to compare.
| Demographic | Boyle | Wellington |
|---|---|---|
| Black | 50 | 11 |
| White | 50 | 42 |
| Asian | Data is updating | 5 |
| Hispanic | Data is updating | 27 |
| Two or More Races | Data is updating | 15 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Boyle vs Wellington
- A higher percentage of Black residents are in Boyle at 50% compared to 11% in Wellington.
- Boyle has a higher percentage of White residents at 50% compared to 42% in Wellington.
- In Wellington, the Asian population stands at 5%, greater than 0% in Boyle.
- Wellington has a higher percentage of Hispanic residents at 27%, compared to 0% in Boyle.
- The percentage of residents identifying as two or more races is higher in Wellington at 15%, compared to 0% in Boyle.
- The percentage of American Indian residents is the same in both Boyle and Wellington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Boyle | Wellington |
|---|---|---|
| Mental Health Not Good | 17.4% | 14.1% |
| Physical Health Not Good | 13.3% | 8.5% |
| Depression | 20.4% | 17.2% |
| Smoking | 20.5% | 13.9% |
| Binge Drinking | 13.0% | 16.7% |
| Obesity | 41.3% | 24.0% |
| Disability Percentage | 48.0% | 9.0% |
Health Statistics Comparison: Boyle vs Wellington
- More residents in Boyle report poor mental health at 17.4% compared to 14.1% in Wellington.
- Depression is more prevalent in Boyle at 20.4% compared to 17.2% in Wellington.
- Smoking is more prevalent in Boyle at 20.5% compared to 13.9% in Wellington.
- More residents engage in binge drinking in Wellington at 16.7% compared to 13.0% in Boyle.
- Obesity rates are higher in Boyle at 41.3% compared to 24.0% in Wellington.
- Disability percentages are higher in Boyle at 48.0% compared to 9.0% in Wellington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Boyle | Wellington |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (431) |
| High School Diploma | 16.2% (81) | 10.3% (6,304) |
| Less than High School | 17.0% (85) | 6.9% (4,234) |
| Bachelor's Degree and Higher | 41.7% (208) | 32.5% (19,977) |
Education Levels Comparison: Boyle vs Wellington
- In Wellington, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Boyle.
- A higher percentage of residents in Boyle hold a high school diploma at 16.2% compared to 10.3% in Wellington.
- More residents in Boyle have less than a high school education at 17.0% compared to 6.9% in Wellington.
- A higher percentage of residents in Boyle hold a bachelor's degree or higher at 41.7% compared to 32.5% in Wellington.
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.