Demographics details for Old bridge, NJ vs Sumter, SC
Population Overview
Compare main population characteristics in Old bridge, NJ vs Sumter, SC.
| Data | Old bridge | Sumter |
|---|---|---|
| Population | 28,094 | 42,757 |
| Median Age | 43.2 years | 33.1 years |
| Median Income | $104,712 | $48,900 |
| Married Families | 48.0% | 34.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 4.1 | 6.0 |
Population Comparison: Old bridge vs Sumter
- The population in Sumter is higher at 42,757, compared to 28,094 in Old bridge.
- Residents in Old bridge have a higher median age of 43.2 years compared to 33.1 years in Sumter.
- Old bridge has a higher median income of $104,712 compared to $48,900 in Sumter.
- A higher percentage of married families is found in Old bridge at 48.0% compared to 34.0% in Sumter.
- The poverty level is higher in Sumter at 15%, compared to 5% in Old bridge.
- Sumter has a higher unemployment rate at 6.0% compared to 4.1% in Old bridge.
Demographics
Demographics Old bridge vs Sumter provide insight into the diversity of the communities to compare.
| Demographic | Old bridge | Sumter |
|---|---|---|
| Black | 4 | 48 |
| White | 61 | 36 |
| Asian | 13 | 2 |
| Hispanic | 16 | 7 |
| Two or More Races | 6 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Old bridge vs Sumter
- In Sumter, the percentage of Black residents is higher at 48% compared to 4% in Old bridge.
- Old bridge has a higher percentage of White residents at 61% compared to 36% in Sumter.
- The Asian population is larger in Old bridge at 13% compared to 2% in Sumter.
- The Hispanic community is larger in Old bridge at 16% compared to 7% in Sumter.
- Both Old bridge and Sumter have the same percentage of residents identifying as two or more races at 6%.
- In Sumter, the percentage of American Indian residents is higher at 1%, compared to 0% in Old bridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Old bridge | Sumter |
|---|---|---|
| Mental Health Not Good | 14.3% | 18.7% |
| Physical Health Not Good | 8.6% | 13.7% |
| Depression | 19.8% | 20.9% |
| Smoking | 11.4% | 21.7% |
| Binge Drinking | 16.2% | 15.2% |
| Obesity | 28.5% | 42.5% |
| Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Old bridge vs Sumter
- In Sumter, a higher percentage report poor mental health at 18.7% compared to 14.3% in Old bridge.
- Higher depression rates are seen in Sumter at 20.9% versus 19.8% in Old bridge.
- Sumter has a higher smoking rate at 21.7% compared to 11.4% in Old bridge.
- Binge drinking is more common in Old bridge at 16.2% compared to 15.2% in Sumter.
- Sumter has higher obesity rates at 42.5% compared to 28.5% in Old bridge.
- There is a higher percentage of disabled individuals in Sumter at 15.0% compared to 11.0% in Old bridge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Old bridge | Sumter |
|---|---|---|
| No Schooling | 1.1% (302) | 0.6% (246) |
| High School Diploma | 18.8% (5,278) | 15.8% (6,741) |
| Less than High School | 8.2% (2,316) | 9.2% (3,936) |
| Bachelor's Degree and Higher | 28.2% (7,918) | 17.5% (7,485) |
Education Levels Comparison: Old bridge vs Sumter
- A higher percentage of residents in Old bridge have no formal schooling at 1.1% compared to 0.6% in Sumter.
- A higher percentage of residents in Old bridge hold a high school diploma at 18.8% compared to 15.8% in Sumter.
- The percentage of residents with less than a high school education is higher in Sumter at 9.2%, 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 17.5% in Sumter.
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.