Demographics details for Old bridge, NJ vs Orange, CA
Population Overview
Compare main population characteristics in Old bridge, NJ vs Orange, CA.
| Data | Old bridge | Orange |
|---|---|---|
| Population | 28,094 | 136,178 |
| Median Age | 43.2 years | 36.5 years |
| Median Income | $104,712 | $109,335 |
| Married Families | 48.0% | 40.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 4.1 | 4.1 |
Population Comparison: Old bridge vs Orange
- The population in Orange is higher at 136,178, compared to 28,094 in Old bridge.
- Residents in Old bridge have a higher median age of 43.2 years compared to 36.5 years in Orange.
- Orange has a higher median income of $109,335, compared to $104,712 in Old bridge.
- A higher percentage of married families is found in Old bridge at 48.0% compared to 40.0% in Orange.
- The poverty level is higher in Orange at 9%, compared to 5% in Old bridge.
- The unemployment rate is the same in both Old bridge and Orange at 4.1%.
Demographics
Demographics Old bridge vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Old bridge | Orange |
|---|---|---|
| Black | 4 | 2 |
| White | 61 | 29 |
| Asian | 13 | 14 |
| Hispanic | 16 | 40 |
| Two or More Races | 6 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Old bridge vs Orange
- A higher percentage of Black residents are in Old bridge at 4% compared to 2% in Orange.
- Old bridge has a higher percentage of White residents at 61% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 13% in Old bridge.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 16% in Old bridge.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 6% in Old bridge.
- In Orange, 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 | Orange |
|---|---|---|
| Mental Health Not Good | 14.3% | 14.9% |
| Physical Health Not Good | 8.6% | 10.2% |
| Depression | 19.8% | 17.9% |
| Smoking | 11.4% | 10.5% |
| Binge Drinking | 16.2% | 16.8% |
| Obesity | 28.5% | 27.1% |
| Disability Percentage | 11.0% | 8.0% |
Health Statistics Comparison: Old bridge vs Orange
- In Orange, a higher percentage report poor mental health at 14.9% compared to 14.3% in Old bridge.
- Depression is more prevalent in Old bridge at 19.8% compared to 17.9% in Orange.
- Smoking is more prevalent in Old bridge at 11.4% compared to 10.5% in Orange.
- More residents engage in binge drinking in Orange at 16.8% compared to 16.2% in Old bridge.
- Obesity rates are higher in Old bridge at 28.5% compared to 27.1% in Orange.
- Disability percentages are higher in Old bridge at 11.0% compared to 8.0% in Orange.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Old bridge | Orange |
|---|---|---|
| No Schooling | 1.1% (302) | 1.8% (2,483) |
| High School Diploma | 18.8% (5,278) | 11.0% (14,986) |
| Less than High School | 8.2% (2,316) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 28.2% (7,918) | 28.2% (38,372) |
Education Levels Comparison: Old bridge vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% 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 11.0% in Orange.
- The percentage of residents with less than a high school education is higher in Orange at 15.5%, compared to 8.2% in Old bridge.
- The percentage of residents with a bachelor's degree or higher is identical in both Old bridge and Orange at 28.2%.
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.