Demographics details for Old bridge, NJ vs Southaven, MS
Population Overview
Compare main population characteristics in Old bridge, NJ vs Southaven, MS.
| Data | Old bridge | Southaven |
|---|---|---|
| Population | 28,094 | 56,360 |
| Median Age | 43.2 years | 35.4 years |
| Median Income | $104,712 | $72,513 |
| Married Families | 48.0% | 37.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Old bridge vs Southaven
- The population in Southaven is higher at 56,360, compared to 28,094 in Old bridge.
- Residents in Old bridge have a higher median age of 43.2 years compared to 35.4 years in Southaven.
- Old bridge has a higher median income of $104,712 compared to $72,513 in Southaven.
- A higher percentage of married families is found in Old bridge at 48.0% compared to 37.0% in Southaven.
- The poverty level is higher in Southaven at 12%, compared to 5% in Old bridge.
- The unemployment rate in Old bridge is higher at 4.1%, compared to 3.2% in Southaven.
Demographics
Demographics Old bridge vs Southaven provide insight into the diversity of the communities to compare.
| Demographic | Old bridge | Southaven |
|---|---|---|
| Black | 4 | 35 |
| White | 61 | 55 |
| Asian | 13 | 1 |
| Hispanic | 16 | 5 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Old bridge vs Southaven
- In Southaven, the percentage of Black residents is higher at 35% compared to 4% in Old bridge.
- Old bridge has a higher percentage of White residents at 61% compared to 55% in Southaven.
- The Asian population is larger in Old bridge at 13% compared to 1% in Southaven.
- The Hispanic community is larger in Old bridge at 16% compared to 5% in Southaven.
- More residents identify as two or more races in Old bridge at 6% compared to 4% in Southaven.
- The percentage of American Indian residents is the same in both Old bridge and Southaven at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Old bridge | Southaven |
|---|---|---|
| Mental Health Not Good | 14.3% | 15.6% |
| Physical Health Not Good | 8.6% | 10.9% |
| Depression | 19.8% | 22.9% |
| Smoking | 11.4% | 16.7% |
| Binge Drinking | 16.2% | 14.1% |
| Obesity | 28.5% | 39.7% |
| Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Old bridge vs Southaven
- In Southaven, a higher percentage report poor mental health at 15.6% compared to 14.3% in Old bridge.
- Higher depression rates are seen in Southaven at 22.9% versus 19.8% in Old bridge.
- Southaven has a higher smoking rate at 16.7% compared to 11.4% in Old bridge.
- Binge drinking is more common in Old bridge at 16.2% compared to 14.1% in Southaven.
- Southaven has higher obesity rates at 39.7% compared to 28.5% in Old bridge.
- Disability percentages are higher in Old bridge at 11.0% compared to 10.0% in Southaven.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Old bridge | Southaven |
|---|---|---|
| No Schooling | 1.1% (302) | 1.2% (658) |
| High School Diploma | 18.8% (5,278) | 15.8% (8,925) |
| Less than High School | 8.2% (2,316) | 8.7% (4,879) |
| Bachelor's Degree and Higher | 28.2% (7,918) | 16.0% (9,035) |
Education Levels Comparison: Old bridge vs Southaven
- In Southaven, a larger percentage of residents lack formal schooling at 1.2% compared to 1.1% in Old bridge.
- A higher percentage of residents in Old bridge hold a high school diploma at 18.8% compared to 15.8% in Southaven.
- The percentage of residents with less than a high school education is higher in Southaven at 8.7%, compared to 8.2% in Old bridge.
- A higher percentage of residents in Old bridge hold a bachelor's degree or higher at 28.2% compared to 16.0% in Southaven.
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.