Demographics details for Bowie, TX vs Chester springs, PA
Population Overview
Compare main population characteristics in Bowie, TX vs Chester springs, PA.
Data | Bowie | Chester springs |
---|---|---|
Population | 5,738 | 7,520 |
Median Age | 36.4 years | 42.0 years |
Median Income | $60,659 | $120,000 |
Married Families | 38.0% | 75.0% |
Poverty Level | 10% | 5% |
Unemployment Rate | 3.5 | 3.0 |
Population Comparison: Bowie vs Chester springs
- The population in Chester springs is higher at 7,520, compared to 5,738 in Bowie.
- The median age in Chester springs is higher at 42.0 years, compared to 36.4 years in Bowie.
- Chester springs has a higher median income of $120,000, compared to $60,659 in Bowie.
- In Chester springs, the percentage of married families is higher at 75.0%, compared to 38.0% in Bowie.
- Bowie has a higher poverty level at 10% compared to 5% in Chester springs.
- The unemployment rate in Bowie is higher at 3.5%, compared to 3.0% in Chester springs.
Demographics
Demographics Bowie vs Chester springs provide insight into the diversity of the communities to compare.
Demographic | Bowie | Chester springs |
---|---|---|
Black | 1 | 1 |
White | 86 | 94 |
Asian | Data is updating | 2 |
Hispanic | 7 | 2 |
Two or More Races | 5 | 1 |
American Indian | 1 | Data is updating |
Demographics Comparison: Bowie vs Chester springs
- The percentage of Black residents is the same in both Bowie and Chester springs at 1%.
- The percentage of White residents is higher in Chester springs at 94% compared to 86% in Bowie.
- In Chester springs, the Asian population stands at 2%, greater than 0% in Bowie.
- The Hispanic community is larger in Bowie at 7% compared to 2% in Chester springs.
- More residents identify as two or more races in Bowie at 5% compared to 1% in Chester springs.
- A greater percentage of American Indian residents live in Bowie at 1% compared to 0% in Chester springs.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bowie | Chester springs |
---|---|---|
Mental Health Not Good | 19.0% | Data is updating% |
Physical Health Not Good | 12.7% | Data is updating% |
Depression | 26.3% | Data is updating% |
Smoking | 19.7% | Data is updating% |
Binge Drinking | 18.5% | Data is updating% |
Obesity | 36.9% | Data is updating% |
Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Bowie vs Chester springs
- More residents in Bowie report poor mental health at 19.0% compared to 0.0% in Chester springs.
- Depression is more prevalent in Bowie at 26.3% compared to 0.0% in Chester springs.
- Smoking is more prevalent in Bowie at 19.7% compared to 0.0% in Chester springs.
- Binge drinking is more common in Bowie at 18.5% compared to 0.0% in Chester springs.
- Obesity rates are higher in Bowie at 36.9% compared to 0.0% in Chester springs.
- Disability percentages are higher in Bowie at 13.0% compared to 0.0% in Chester springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bowie | Chester springs |
---|---|---|
No Schooling | 1.5% (86) | 0.0% (Data is updating) |
High School Diploma | 28.0% (1,609) | 0.0% (Data is updating) |
Less than High School | 14.2% (812) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 9.3% (536) | 0.0% (Data is updating) |
Education Levels Comparison: Bowie vs Chester springs
- A higher percentage of residents in Bowie have no formal schooling at 1.5% compared to 0.0% in Chester springs.
- A higher percentage of residents in Bowie hold a high school diploma at 28.0% compared to 0.0% in Chester springs.
- More residents in Bowie have less than a high school education at 14.2% compared to 0.0% in Chester springs.
- A higher percentage of residents in Bowie hold a bachelor's degree or higher at 9.3% compared to 0.0% in Chester springs.
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.