Demographics details for Bridgeport, AL vs White house, TN
Population Overview
Compare main population characteristics in Bridgeport, AL vs White house, TN.
| Data | Bridgeport | White house |
|---|---|---|
| Population | 2,244 | 14,516 |
| Median Age | 44.1 years | 36.5 years |
| Median Income | $34,000 | $85,404 |
| Married Families | 33.0% | 46.0% |
| Poverty Level | 17% | 7% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Bridgeport vs White house
- The population in White house is higher at 14,516, compared to 2,244 in Bridgeport.
- Residents in Bridgeport have a higher median age of 44.1 years compared to 36.5 years in White house.
- White house has a higher median income of $85,404, compared to $34,000 in Bridgeport.
- In White house, the percentage of married families is higher at 46.0%, compared to 33.0% in Bridgeport.
- Bridgeport has a higher poverty level at 17% compared to 7% in White house.
- The unemployment rate in Bridgeport is higher at 3.5%, compared to 3.4% in White house.
Demographics
Demographics Bridgeport vs White house provide insight into the diversity of the communities to compare.
| Demographic | Bridgeport | White house |
|---|---|---|
| Black | 4 | 2 |
| White | 85 | 87 |
| Asian | Data is updating | 1 |
| Hispanic | 4 | 4 |
| Two or More Races | 6 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Bridgeport vs White house
- A higher percentage of Black residents are in Bridgeport at 4% compared to 2% in White house.
- The percentage of White residents is higher in White house at 87% compared to 85% in Bridgeport.
- In White house, the Asian population stands at 1%, greater than 0% in Bridgeport.
- The percentage of Hispanic residents is the same in both Bridgeport and White house at 4%.
- Both Bridgeport and White house have the same percentage of residents identifying as two or more races at 6%.
- A greater percentage of American Indian residents live in Bridgeport at 1% compared to 0% in White house.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bridgeport | White house |
|---|---|---|
| Mental Health Not Good | 21.3% | 17.5% |
| Physical Health Not Good | 15.2% | 11.0% |
| Depression | 25.7% | 27.6% |
| Smoking | 23.7% | 17.7% |
| Binge Drinking | 14.7% | 16.7% |
| Obesity | 39.9% | 32.5% |
| Disability Percentage | 27.0% | 11.0% |
Health Statistics Comparison: Bridgeport vs White house
- More residents in Bridgeport report poor mental health at 21.3% compared to 17.5% in White house.
- Higher depression rates are seen in White house at 27.6% versus 25.7% in Bridgeport.
- Smoking is more prevalent in Bridgeport at 23.7% compared to 17.7% in White house.
- More residents engage in binge drinking in White house at 16.7% compared to 14.7% in Bridgeport.
- Obesity rates are higher in Bridgeport at 39.9% compared to 32.5% in White house.
- Disability percentages are higher in Bridgeport at 27.0% compared to 11.0% in White house.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bridgeport | White house |
|---|---|---|
| No Schooling | 5.5% (123) | 0.2% (30) |
| High School Diploma | 23.8% (534) | 18.0% (2,617) |
| Less than High School | 26.3% (590) | 12.4% (1,794) |
| Bachelor's Degree and Higher | 6.5% (146) | 15.4% (2,235) |
Education Levels Comparison: Bridgeport vs White house
- A higher percentage of residents in Bridgeport have no formal schooling at 5.5% compared to 0.2% in White house.
- A higher percentage of residents in Bridgeport hold a high school diploma at 23.8% compared to 18.0% in White house.
- More residents in Bridgeport have less than a high school education at 26.3% compared to 12.4% in White house.
- In White house, a larger share of residents have a bachelor's degree or higher at 15.4% compared to 6.5% in Bridgeport.
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.