Demographics details for Boyle, MS vs Mount vernon, TX
Population Overview
Compare main population characteristics in Boyle, MS vs Mount vernon, TX.
| Data | Boyle | Mount vernon |
|---|---|---|
| Population | 499 | 2,541 |
| Median Age | 36.7 years | 31.1 years |
| Median Income | $33,750 | $63,750 |
| Married Families | 25.0% | 40.0% |
| Poverty Level | 20% | 10% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Boyle vs Mount vernon
- The population in Mount vernon is higher at 2,541, compared to 499 in Boyle.
- Residents in Boyle have a higher median age of 36.7 years compared to 31.1 years in Mount vernon.
- Mount vernon has a higher median income of $63,750, compared to $33,750 in Boyle.
- In Mount vernon, the percentage of married families is higher at 40.0%, compared to 25.0% in Boyle.
- Boyle has a higher poverty level at 20% compared to 10% in Mount vernon.
- The unemployment rate is the same in both Boyle and Mount vernon at 4.5%.
Demographics
Demographics Boyle vs Mount vernon provide insight into the diversity of the communities to compare.
| Demographic | Boyle | Mount vernon |
|---|---|---|
| Black | 50 | 15 |
| White | 50 | 50 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 21 |
| Two or More Races | Data is updating | 14 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Boyle vs Mount vernon
- A higher percentage of Black residents are in Boyle at 50% compared to 15% in Mount vernon.
- The percentage of White residents is the same in both Boyle and Mount vernon at 50%.
- Both Boyle and Mount vernon have the same percentage of Asian residents at 0%.
- Mount vernon has a higher percentage of Hispanic residents at 21%, compared to 0% in Boyle.
- The percentage of residents identifying as two or more races is higher in Mount vernon at 14%, compared to 0% in Boyle.
- The percentage of American Indian residents is the same in both Boyle and Mount vernon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Boyle | Mount vernon |
|---|---|---|
| Mental Health Not Good | 17.4% | 18.1% |
| Physical Health Not Good | 13.3% | 11.8% |
| Depression | 20.4% | 24.9% |
| Smoking | 20.5% | 17.6% |
| Binge Drinking | 13.0% | 18.5% |
| Obesity | 41.3% | 35.4% |
| Disability Percentage | 48.0% | 17.0% |
Health Statistics Comparison: Boyle vs Mount vernon
- In Mount vernon, a higher percentage report poor mental health at 18.1% compared to 17.4% in Boyle.
- Higher depression rates are seen in Mount vernon at 24.9% versus 20.4% in Boyle.
- Smoking is more prevalent in Boyle at 20.5% compared to 17.6% in Mount vernon.
- More residents engage in binge drinking in Mount vernon at 18.5% compared to 13.0% in Boyle.
- Obesity rates are higher in Boyle at 41.3% compared to 35.4% in Mount vernon.
- Disability percentages are higher in Boyle at 48.0% compared to 17.0% in Mount vernon.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Boyle | Mount vernon |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (16) |
| High School Diploma | 16.2% (81) | 15.7% (399) |
| Less than High School | 17.0% (85) | 21.8% (555) |
| Bachelor's Degree and Higher | 41.7% (208) | 11.1% (282) |
Education Levels Comparison: Boyle vs Mount vernon
- In Mount vernon, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Boyle.
- A higher percentage of residents in Boyle hold a high school diploma at 16.2% compared to 15.7% in Mount vernon.
- The percentage of residents with less than a high school education is higher in Mount vernon at 21.8%, compared to 17.0% in Boyle.
- A higher percentage of residents in Boyle hold a bachelor's degree or higher at 41.7% compared to 11.1% in Mount vernon.
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.