Demographics details for Kerman, CA vs Old bridge, NJ
Population Overview
Compare main population characteristics in Kerman, CA vs Old bridge, NJ.
Data | Kerman | Old bridge |
---|---|---|
Population | 16,208 | 28,094 |
Median Age | 27.8 years | 43.2 years |
Median Income | $53,956 | $104,712 |
Married Families | 32.0% | 48.0% |
Poverty Level | 12% | 5% |
Unemployment Rate | 5.5 | 4.1 |
Population Comparison: Kerman vs Old bridge
- The population in Old bridge is higher at 28,094, compared to 16,208 in Kerman.
- The median age in Old bridge is higher at 43.2 years, compared to 27.8 years in Kerman.
- Old bridge has a higher median income of $104,712, compared to $53,956 in Kerman.
- In Old bridge, the percentage of married families is higher at 48.0%, compared to 32.0% in Kerman.
- Kerman has a higher poverty level at 12% compared to 5% in Old bridge.
- The unemployment rate in Kerman is higher at 5.5%, compared to 4.1% in Old bridge.
Demographics
Demographics Kerman vs Old bridge provide insight into the diversity of the communities to compare.
Demographic | Kerman | Old bridge |
---|---|---|
Black | Data is updating | 4 |
White | -12 | 61 |
Asian | 7 | 13 |
Hispanic | 81 | 16 |
Two or More Races | 22 | 6 |
American Indian | 2 | Data is updating |
Demographics Comparison: Kerman vs Old bridge
- In Old bridge, the percentage of Black residents is higher at 4% compared to 0% in Kerman.
- The percentage of White residents is higher in Old bridge at 61% compared to -12% in Kerman.
- In Old bridge, the Asian population stands at 13%, greater than 7% in Kerman.
- The Hispanic community is larger in Kerman at 81% compared to 16% in Old bridge.
- More residents identify as two or more races in Kerman at 22% compared to 6% in Old bridge.
- A greater percentage of American Indian residents live in Kerman at 2% compared to 0% in Old bridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kerman | Old bridge |
---|---|---|
Mental Health Not Good | 18.7% | 14.3% |
Physical Health Not Good | 15.8% | 8.6% |
Depression | 18.0% | 19.8% |
Smoking | 17.3% | 11.4% |
Binge Drinking | 13.1% | 16.2% |
Obesity | 39.5% | 28.5% |
Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Kerman vs Old bridge
- More residents in Kerman report poor mental health at 18.7% compared to 14.3% in Old bridge.
- Higher depression rates are seen in Old bridge at 19.8% versus 18.0% in Kerman.
- Smoking is more prevalent in Kerman at 17.3% compared to 11.4% in Old bridge.
- More residents engage in binge drinking in Old bridge at 16.2% compared to 13.1% in Kerman.
- Obesity rates are higher in Kerman at 39.5% compared to 28.5% in Old bridge.
- Disability percentages are the same in both Kerman and Old bridge at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kerman | Old bridge |
---|---|---|
No Schooling | 4.3% (694) | 1.1% (302) |
High School Diploma | 10.4% (1,690) | 18.8% (5,278) |
Less than High School | 45.2% (7,334) | 8.2% (2,316) |
Bachelor's Degree and Higher | 7.3% (1,177) | 28.2% (7,918) |
Education Levels Comparison: Kerman vs Old bridge
- A higher percentage of residents in Kerman have no formal schooling at 4.3% compared to 1.1% in Old bridge.
- In Old bridge, the rate of residents with high school diplomas is higher at 18.8% compared to 10.4% in Kerman.
- More residents in Kerman have less than a high school education at 45.2% 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 7.3% in Kerman.
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.