Demographics details for Baltimore, MD vs Bridgeport, TX
Population Overview
Compare main population characteristics in Baltimore, MD vs Bridgeport, TX.
| Data | Baltimore | Bridgeport |
|---|---|---|
| Population | 569,931 | 6,321 |
| Median Age | 36.0 years | 33.9 years |
| Median Income | $58,349 | $96,231 |
| Married Families | 23.0% | 38.0% |
| Poverty Level | 16% | 10% |
| Unemployment Rate | 4.3 | 4.2 |
Population Comparison: Baltimore vs Bridgeport
- In Baltimore, the population is higher at 569,931, compared to 6,321 in Bridgeport.
- Residents in Baltimore have a higher median age of 36.0 years compared to 33.9 years in Bridgeport.
- Bridgeport has a higher median income of $96,231, compared to $58,349 in Baltimore.
- In Bridgeport, the percentage of married families is higher at 38.0%, compared to 23.0% in Baltimore.
- Baltimore has a higher poverty level at 16% compared to 10% in Bridgeport.
- The unemployment rate in Baltimore is higher at 4.3%, compared to 4.2% in Bridgeport.
Demographics
Demographics Baltimore vs Bridgeport provide insight into the diversity of the communities to compare.
| Demographic | Baltimore | Bridgeport |
|---|---|---|
| Black | 63 | 5 |
| White | 23 | 51 |
| Asian | 3 | 1 |
| Hispanic | 6 | 36 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Baltimore vs Bridgeport
- A higher percentage of Black residents are in Baltimore at 63% compared to 5% in Bridgeport.
- The percentage of White residents is higher in Bridgeport at 51% compared to 23% in Baltimore.
- The Asian population is larger in Baltimore at 3% compared to 1% in Bridgeport.
- Bridgeport has a higher percentage of Hispanic residents at 36%, compared to 6% in Baltimore.
- Both Baltimore and Bridgeport have the same percentage of residents identifying as two or more races at 5%.
- In Bridgeport, the percentage of American Indian residents is higher at 2%, compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baltimore | Bridgeport |
|---|---|---|
| Mental Health Not Good | 17.9% | 18.6% |
| Physical Health Not Good | 12.3% | 14.3% |
| Depression | 20.2% | 24.0% |
| Smoking | 19.8% | 20.2% |
| Binge Drinking | 15.4% | 17.2% |
| Obesity | 37.1% | 40.0% |
| Disability Percentage | 16.0% | 7.0% |
Health Statistics Comparison: Baltimore vs Bridgeport
- In Bridgeport, a higher percentage report poor mental health at 18.6% compared to 17.9% in Baltimore.
- Higher depression rates are seen in Bridgeport at 24.0% versus 20.2% in Baltimore.
- Bridgeport has a higher smoking rate at 20.2% compared to 19.8% in Baltimore.
- More residents engage in binge drinking in Bridgeport at 17.2% compared to 15.4% in Baltimore.
- Bridgeport has higher obesity rates at 40.0% compared to 37.1% in Baltimore.
- Disability percentages are higher in Baltimore at 16.0% compared to 7.0% in Bridgeport.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Baltimore | Bridgeport |
|---|---|---|
| No Schooling | 1.2% (6,683) | 0.4% (24) |
| High School Diploma | 16.8% (95,744) | 11.2% (708) |
| Less than High School | 11.9% (67,970) | 18.8% (1,189) |
| Bachelor's Degree and Higher | 25.1% (143,174) | 17.2% (1,086) |
Education Levels Comparison: Baltimore vs Bridgeport
- A higher percentage of residents in Baltimore have no formal schooling at 1.2% compared to 0.4% in Bridgeport.
- A higher percentage of residents in Baltimore hold a high school diploma at 16.8% compared to 11.2% in Bridgeport.
- The percentage of residents with less than a high school education is higher in Bridgeport at 18.8%, compared to 11.9% in Baltimore.
- A higher percentage of residents in Baltimore hold a bachelor's degree or higher at 25.1% compared to 17.2% 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.