Demographics details for Mullica hill, NJ vs Campbell, CA
Population Overview
Compare main population characteristics in Mullica hill, NJ vs Campbell, CA.
Data | Mullica hill | Campbell |
---|---|---|
Population | 4,454 | 42,286 |
Median Age | 41.0 years | 39.3 years |
Median Income | $123,265 | $141,794 |
Married Families | 46.0% | 45.0% |
Poverty Level | 4% | 6% |
Unemployment Rate | 3.2 | 3.6 |
Population Comparison: Mullica hill vs Campbell
- The population in Campbell is higher at 42,286, compared to 4,454 in Mullica hill.
- Residents in Mullica hill have a higher median age of 41.0 years compared to 39.3 years in Campbell.
- Campbell has a higher median income of $141,794, compared to $123,265 in Mullica hill.
- A higher percentage of married families is found in Mullica hill at 46.0% compared to 45.0% in Campbell.
- The poverty level is higher in Campbell at 6%, compared to 4% in Mullica hill.
- Campbell has a higher unemployment rate at 3.6% compared to 3.2% in Mullica hill.
Demographics
Demographics Mullica hill vs Campbell provide insight into the diversity of the communities to compare.
Demographic | Mullica hill | Campbell |
---|---|---|
Black | 11 | 2 |
White | 74 | 42 |
Asian | 4 | 27 |
Hispanic | 4 | 18 |
Two or More Races | 7 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mullica hill vs Campbell
- A higher percentage of Black residents are in Mullica hill at 11% compared to 2% in Campbell.
- Mullica hill has a higher percentage of White residents at 74% compared to 42% in Campbell.
- In Campbell, the Asian population stands at 27%, greater than 4% in Mullica hill.
- Campbell has a higher percentage of Hispanic residents at 18%, compared to 4% in Mullica hill.
- The percentage of residents identifying as two or more races is higher in Campbell at 11%, compared to 7% in Mullica hill.
- The percentage of American Indian residents is the same in both Mullica hill and Campbell at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mullica hill | Campbell |
---|---|---|
Mental Health Not Good | 13.7% | 13.3% |
Physical Health Not Good | 7.9% | 8.0% |
Depression | 20.9% | 16.8% |
Smoking | 10.3% | 8.0% |
Binge Drinking | 20.0% | 15.9% |
Obesity | 27.7% | 21.0% |
Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: Mullica hill vs Campbell
- More residents in Mullica hill report poor mental health at 13.7% compared to 13.3% in Campbell.
- Depression is more prevalent in Mullica hill at 20.9% compared to 16.8% in Campbell.
- Smoking is more prevalent in Mullica hill at 10.3% compared to 8.0% in Campbell.
- Binge drinking is more common in Mullica hill at 20.0% compared to 15.9% in Campbell.
- Obesity rates are higher in Mullica hill at 27.7% compared to 21.0% in Campbell.
- Disability percentages are higher in Mullica hill at 12.0% compared to 9.0% in Campbell.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mullica hill | Campbell |
---|---|---|
No Schooling | 0.7% (33) | 1.4% (599) |
High School Diploma | 12.9% (576) | 8.1% (3,429) |
Less than High School | 5.5% (244) | 7.6% (3,214) |
Bachelor's Degree and Higher | 36.2% (1,612) | 44.5% (18,829) |
Education Levels Comparison: Mullica hill vs Campbell
- In Campbell, a larger percentage of residents lack formal schooling at 1.4% compared to 0.7% in Mullica hill.
- A higher percentage of residents in Mullica hill hold a high school diploma at 12.9% compared to 8.1% in Campbell.
- The percentage of residents with less than a high school education is higher in Campbell at 7.6%, compared to 5.5% in Mullica hill.
- In Campbell, a larger share of residents have a bachelor's degree or higher at 44.5% compared to 36.2% in Mullica hill.
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.