Demographics details for Forest city, NC vs Old bridge, NJ
Population Overview
Compare main population characteristics in Forest city, NC vs Old bridge, NJ.
Data | Forest city | Old bridge |
---|---|---|
Population | 7,358 | 28,094 |
Median Age | 32.8 years | 43.2 years |
Median Income | $35,232 | $104,712 |
Married Families | 21.0% | 48.0% |
Poverty Level | 11% | 5% |
Unemployment Rate | 4.5 | 4.1 |
Population Comparison: Forest city vs Old bridge
- The population in Old bridge is higher at 28,094, compared to 7,358 in Forest city.
- The median age in Old bridge is higher at 43.2 years, compared to 32.8 years in Forest city.
- Old bridge has a higher median income of $104,712, compared to $35,232 in Forest city.
- In Old bridge, the percentage of married families is higher at 48.0%, compared to 21.0% in Forest city.
- Forest city has a higher poverty level at 11% compared to 5% in Old bridge.
- The unemployment rate in Forest city is higher at 4.5%, compared to 4.1% in Old bridge.
Demographics
Demographics Forest city vs Old bridge provide insight into the diversity of the communities to compare.
Demographic | Forest city | Old bridge |
---|---|---|
Black | 28 | 4 |
White | 57 | 61 |
Asian | 2 | 13 |
Hispanic | 8 | 16 |
Two or More Races | 5 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Forest city vs Old bridge
- A higher percentage of Black residents are in Forest city at 28% compared to 4% in Old bridge.
- The percentage of White residents is higher in Old bridge at 61% compared to 57% in Forest city.
- In Old bridge, the Asian population stands at 13%, greater than 2% in Forest city.
- Old bridge has a higher percentage of Hispanic residents at 16%, compared to 8% in Forest city.
- The percentage of residents identifying as two or more races is higher in Old bridge at 6%, compared to 5% in Forest city.
- The percentage of American Indian residents is the same in both Forest city and Old bridge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Forest city | Old bridge |
---|---|---|
Mental Health Not Good | 19.0% | 14.3% |
Physical Health Not Good | 14.4% | 8.6% |
Depression | 24.4% | 19.8% |
Smoking | 22.1% | 11.4% |
Binge Drinking | 15.2% | 16.2% |
Obesity | 41.2% | 28.5% |
Disability Percentage | 23.0% | 11.0% |
Health Statistics Comparison: Forest city vs Old bridge
- More residents in Forest city report poor mental health at 19.0% compared to 14.3% in Old bridge.
- Depression is more prevalent in Forest city at 24.4% compared to 19.8% in Old bridge.
- Smoking is more prevalent in Forest city at 22.1% compared to 11.4% in Old bridge.
- More residents engage in binge drinking in Old bridge at 16.2% compared to 15.2% in Forest city.
- Obesity rates are higher in Forest city at 41.2% compared to 28.5% in Old bridge.
- Disability percentages are higher in Forest city at 23.0% 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 | Forest city | Old bridge |
---|---|---|
No Schooling | 0.9% (63) | 1.1% (302) |
High School Diploma | 15.5% (1,140) | 18.8% (5,278) |
Less than High School | 13.0% (956) | 8.2% (2,316) |
Bachelor's Degree and Higher | 10.7% (785) | 28.2% (7,918) |
Education Levels Comparison: Forest city vs Old bridge
- In Old bridge, a larger percentage of residents lack formal schooling at 1.1% compared to 0.9% in Forest city.
- In Old bridge, the rate of residents with high school diplomas is higher at 18.8% compared to 15.5% in Forest city.
- More residents in Forest city have less than a high school education at 13.0% compared to 8.2% in Old bridge.
- In Old bridge, a larger share of residents have a bachelor's degree or higher at 28.2% compared to 10.7% in Forest city.
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.