Demographics details for Johnson city, TX vs Boyle, MS
Population Overview
Compare main population characteristics in Johnson city, TX vs Boyle, MS.
| Data | Johnson city | Boyle |
|---|---|---|
| Population | 1,826 | 499 |
| Median Age | 43.5 years | 36.7 years |
| Median Income | $45,160 | $33,750 |
| Married Families | 28.0% | 25.0% |
| Poverty Level | Data is updating | 20% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Johnson city vs Boyle
- In Johnson city, the population is higher at 1,826, compared to 499 in Boyle.
- Residents in Johnson city have a higher median age of 43.5 years compared to 36.7 years in Boyle.
- Johnson city has a higher median income of $45,160 compared to $33,750 in Boyle.
- A higher percentage of married families is found in Johnson city at 28.0% compared to 25.0% in Boyle.
- The poverty level is higher in Boyle at 20%, compared to 0% in Johnson city.
- Boyle has a higher unemployment rate at 4.5% compared to 3.2% in Johnson city.
Demographics
Demographics Johnson city vs Boyle provide insight into the diversity of the communities to compare.
| Demographic | Johnson city | Boyle |
|---|---|---|
| Black | 1 | 50 |
| White | 51 | 50 |
| Asian | 2 | Data is updating |
| Hispanic | 28 | Data is updating |
| Two or More Races | 18 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Johnson city vs Boyle
- In Boyle, the percentage of Black residents is higher at 50% compared to 1% in Johnson city.
- Johnson city has a higher percentage of White residents at 51% compared to 50% in Boyle.
- The Asian population is larger in Johnson city at 2% compared to 0% in Boyle.
- The Hispanic community is larger in Johnson city at 28% compared to 0% in Boyle.
- More residents identify as two or more races in Johnson city at 18% compared to 0% in Boyle.
- The percentage of American Indian residents is the same in both Johnson city and Boyle at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Johnson city | Boyle |
|---|---|---|
| Mental Health Not Good | 15.9% | 17.4% |
| Physical Health Not Good | 10.2% | 13.3% |
| Depression | 22.6% | 20.4% |
| Smoking | 14.2% | 20.5% |
| Binge Drinking | 20.0% | 13.0% |
| Obesity | 34.8% | 41.3% |
| Disability Percentage | 15.0% | 48.0% |
Health Statistics Comparison: Johnson city vs Boyle
- In Boyle, a higher percentage report poor mental health at 17.4% compared to 15.9% in Johnson city.
- Depression is more prevalent in Johnson city at 22.6% compared to 20.4% in Boyle.
- Boyle has a higher smoking rate at 20.5% compared to 14.2% in Johnson city.
- Binge drinking is more common in Johnson city at 20.0% compared to 13.0% in Boyle.
- Boyle has higher obesity rates at 41.3% compared to 34.8% in Johnson city.
- There is a higher percentage of disabled individuals in Boyle at 48.0% compared to 15.0% in Johnson city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Johnson city | Boyle |
|---|---|---|
| No Schooling | 0.6% (11) | 0.0% (Data is updating) |
| High School Diploma | 14.7% (269) | 16.2% (81) |
| Less than High School | 22.7% (414) | 17.0% (85) |
| Bachelor's Degree and Higher | 13.9% (254) | 41.7% (208) |
Education Levels Comparison: Johnson city vs Boyle
- A higher percentage of residents in Johnson city have no formal schooling at 0.6% compared to 0.0% in Boyle.
- In Boyle, the rate of residents with high school diplomas is higher at 16.2% compared to 14.7% in Johnson city.
- More residents in Johnson city have less than a high school education at 22.7% compared to 17.0% in Boyle.
- In Boyle, a larger share of residents have a bachelor's degree or higher at 41.7% compared to 13.9% in Johnson city.
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.