Demographics details for Old bridge, NJ vs Greenbelt, MD
Population Overview
Compare main population characteristics in Old bridge, NJ vs Greenbelt, MD.
| Data | Old bridge | Greenbelt |
|---|---|---|
| Population | 28,094 | 24,360 |
| Median Age | 43.2 years | 37.2 years |
| Median Income | $104,712 | $82,019 |
| Married Families | 48.0% | 30.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 4.1 | 6.5 |
Population Comparison: Old bridge vs Greenbelt
- In Old bridge, the population is higher at 28,094, compared to 24,360 in Greenbelt.
- Residents in Old bridge have a higher median age of 43.2 years compared to 37.2 years in Greenbelt.
- Old bridge has a higher median income of $104,712 compared to $82,019 in Greenbelt.
- A higher percentage of married families is found in Old bridge at 48.0% compared to 30.0% in Greenbelt.
- The poverty level is higher in Greenbelt at 9%, compared to 5% in Old bridge.
- Greenbelt has a higher unemployment rate at 6.5% compared to 4.1% in Old bridge.
Demographics
Demographics Old bridge vs Greenbelt provide insight into the diversity of the communities to compare.
| Demographic | Old bridge | Greenbelt |
|---|---|---|
| Black | 4 | 48 |
| White | 61 | 17 |
| Asian | 13 | 12 |
| Hispanic | 16 | 16 |
| Two or More Races | 6 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Old bridge vs Greenbelt
- In Greenbelt, 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 17% in Greenbelt.
- The Asian population is larger in Old bridge at 13% compared to 12% in Greenbelt.
- The percentage of Hispanic residents is the same in both Old bridge and Greenbelt at 16%.
- Both Old bridge and Greenbelt have the same percentage of residents identifying as two or more races at 6%.
- In Greenbelt, 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 | Greenbelt |
|---|---|---|
| Mental Health Not Good | 14.3% | 12.9% |
| Physical Health Not Good | 8.6% | 8.1% |
| Depression | 19.8% | 13.0% |
| Smoking | 11.4% | 9.8% |
| Binge Drinking | 16.2% | 12.3% |
| Obesity | 28.5% | 36.0% |
| Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Old bridge vs Greenbelt
- More residents in Old bridge report poor mental health at 14.3% compared to 12.9% in Greenbelt.
- Depression is more prevalent in Old bridge at 19.8% compared to 13.0% in Greenbelt.
- Smoking is more prevalent in Old bridge at 11.4% compared to 9.8% in Greenbelt.
- Binge drinking is more common in Old bridge at 16.2% compared to 12.3% in Greenbelt.
- Greenbelt has higher obesity rates at 36.0% compared to 28.5% in Old bridge.
- Disability percentages are higher in Old bridge at 11.0% compared to 10.0% in Greenbelt.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Old bridge | Greenbelt |
|---|---|---|
| No Schooling | 1.1% (302) | 2.2% (530) |
| High School Diploma | 18.8% (5,278) | 9.0% (2,195) |
| Less than High School | 8.2% (2,316) | 11.4% (2,766) |
| Bachelor's Degree and Higher | 28.2% (7,918) | 32.2% (7,832) |
Education Levels Comparison: Old bridge vs Greenbelt
- In Greenbelt, a larger percentage of residents lack formal schooling at 2.2% 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 9.0% in Greenbelt.
- The percentage of residents with less than a high school education is higher in Greenbelt at 11.4%, compared to 8.2% in Old bridge.
- In Greenbelt, a larger share of residents have a bachelor's degree or higher at 32.2% compared to 28.2% in Old bridge.
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.