Demographics details for Boyle, MS vs Culleoka, TN
Population Overview
Compare main population characteristics in Boyle, MS vs Culleoka, TN.
| Data | Boyle | Culleoka |
|---|---|---|
| Population | 499 | 340 |
| Median Age | 36.7 years | 36.0 years |
| Median Income | $33,750 | $50,000 |
| Married Families | 25.0% | 70.0% |
| Poverty Level | 20% | 12% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Boyle vs Culleoka
- In Boyle, the population is higher at 499, compared to 340 in Culleoka.
- Residents in Boyle have a higher median age of 36.7 years compared to 36.0 years in Culleoka.
- Culleoka has a higher median income of $50,000, compared to $33,750 in Boyle.
- In Culleoka, the percentage of married families is higher at 70.0%, compared to 25.0% in Boyle.
- Boyle has a higher poverty level at 20% compared to 12% in Culleoka.
- The unemployment rate is the same in both Boyle and Culleoka at 4.5%.
Demographics
Demographics Boyle vs Culleoka provide insight into the diversity of the communities to compare.
| Demographic | Boyle | Culleoka |
|---|---|---|
| Black | 50 | 4 |
| White | 50 | 90 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 3 |
| Two or More Races | Data is updating | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Boyle vs Culleoka
- A higher percentage of Black residents are in Boyle at 50% compared to 4% in Culleoka.
- The percentage of White residents is higher in Culleoka at 90% compared to 50% in Boyle.
- In Culleoka, the Asian population stands at 2%, greater than 0% in Boyle.
- Culleoka has a higher percentage of Hispanic residents at 3%, compared to 0% in Boyle.
- The percentage of residents identifying as two or more races is higher in Culleoka at 1%, compared to 0% in Boyle.
- The percentage of American Indian residents is the same in both Boyle and Culleoka at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Boyle | Culleoka |
|---|---|---|
| Mental Health Not Good | 17.4% | Data is updating% |
| Physical Health Not Good | 13.3% | Data is updating% |
| Depression | 20.4% | Data is updating% |
| Smoking | 20.5% | Data is updating% |
| Binge Drinking | 13.0% | Data is updating% |
| Obesity | 41.3% | Data is updating% |
| Disability Percentage | 48.0% | Data is updating% |
Health Statistics Comparison: Boyle vs Culleoka
- More residents in Boyle report poor mental health at 17.4% compared to 0.0% in Culleoka.
- Depression is more prevalent in Boyle at 20.4% compared to 0.0% in Culleoka.
- Smoking is more prevalent in Boyle at 20.5% compared to 0.0% in Culleoka.
- Binge drinking is more common in Boyle at 13.0% compared to 0.0% in Culleoka.
- Obesity rates are higher in Boyle at 41.3% compared to 0.0% in Culleoka.
- Disability percentages are higher in Boyle at 48.0% compared to 0.0% in Culleoka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Boyle | Culleoka |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 16.2% (81) | 0.0% (Data is updating) |
| Less than High School | 17.0% (85) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 41.7% (208) | 0.0% (Data is updating) |
Education Levels Comparison: Boyle vs Culleoka
- The percentage of residents with no formal schooling is the same in both Boyle and Culleoka at 0.0%.
- A higher percentage of residents in Boyle hold a high school diploma at 16.2% compared to 0.0% in Culleoka.
- More residents in Boyle have less than a high school education at 17.0% compared to 0.0% in Culleoka.
- A higher percentage of residents in Boyle hold a bachelor's degree or higher at 41.7% compared to 0.0% in Culleoka.
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.