Demographics details for Bridgeport, AL vs Osage beach, MO
Population Overview
Compare main population characteristics in Bridgeport, AL vs Osage beach, MO.
| Data | Bridgeport | Osage beach |
|---|---|---|
| Population | 2,244 | 4,821 |
| Median Age | 44.1 years | 48.0 years |
| Median Income | $34,000 | $51,600 |
| Married Families | 33.0% | 37.0% |
| Poverty Level | 17% | 7% |
| Unemployment Rate | 3.5 | 3.4 |
Population Comparison: Bridgeport vs Osage beach
- The population in Osage beach is higher at 4,821, compared to 2,244 in Bridgeport.
- The median age in Osage beach is higher at 48.0 years, compared to 44.1 years in Bridgeport.
- Osage beach has a higher median income of $51,600, compared to $34,000 in Bridgeport.
- In Osage beach, the percentage of married families is higher at 37.0%, compared to 33.0% in Bridgeport.
- Bridgeport has a higher poverty level at 17% compared to 7% in Osage beach.
- The unemployment rate in Bridgeport is higher at 3.5%, compared to 3.4% in Osage beach.
Demographics
Demographics Bridgeport vs Osage beach provide insight into the diversity of the communities to compare.
| Demographic | Bridgeport | Osage beach |
|---|---|---|
| Black | 4 | 3 |
| White | 85 | 85 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | 8 |
| Two or More Races | 6 | 3 |
| American Indian | 1 | 1 |
Demographics Comparison: Bridgeport vs Osage beach
- A higher percentage of Black residents are in Bridgeport at 4% compared to 3% in Osage beach.
- The percentage of White residents is the same in both Bridgeport and Osage beach at 85%.
- Both Bridgeport and Osage beach have the same percentage of Asian residents at 0%.
- Osage beach has a higher percentage of Hispanic residents at 8%, compared to 4% in Bridgeport.
- More residents identify as two or more races in Bridgeport at 6% compared to 3% in Osage beach.
- The percentage of American Indian residents is the same in both Bridgeport and Osage beach at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bridgeport | Osage beach |
|---|---|---|
| Mental Health Not Good | 21.3% | 18.4% |
| Physical Health Not Good | 15.2% | 13.7% |
| Depression | 25.7% | 25.5% |
| Smoking | 23.7% | 22.6% |
| Binge Drinking | 14.7% | 18.8% |
| Obesity | 39.9% | 38.5% |
| Disability Percentage | 27.0% | 15.0% |
Health Statistics Comparison: Bridgeport vs Osage beach
- More residents in Bridgeport report poor mental health at 21.3% compared to 18.4% in Osage beach.
- Depression is more prevalent in Bridgeport at 25.7% compared to 25.5% in Osage beach.
- Smoking is more prevalent in Bridgeport at 23.7% compared to 22.6% in Osage beach.
- More residents engage in binge drinking in Osage beach at 18.8% compared to 14.7% in Bridgeport.
- Obesity rates are higher in Bridgeport at 39.9% compared to 38.5% in Osage beach.
- Disability percentages are higher in Bridgeport at 27.0% compared to 15.0% in Osage beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bridgeport | Osage beach |
|---|---|---|
| No Schooling | 5.5% (123) | 0.0% (Data is updating) |
| High School Diploma | 23.8% (534) | 22.9% (1,105) |
| Less than High School | 26.3% (590) | 22.9% (1,106) |
| Bachelor's Degree and Higher | 6.5% (146) | 16.6% (801) |
Education Levels Comparison: Bridgeport vs Osage beach
- A higher percentage of residents in Bridgeport have no formal schooling at 5.5% compared to 0.0% in Osage beach.
- A higher percentage of residents in Bridgeport hold a high school diploma at 23.8% compared to 22.9% in Osage beach.
- More residents in Bridgeport have less than a high school education at 26.3% compared to 22.9% in Osage beach.
- In Osage beach, a larger share of residents have a bachelor's degree or higher at 16.6% 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.