Demographics details for Manville, NJ vs South pasadena, CA
Population Overview
Compare main population characteristics in Manville, NJ vs South pasadena, CA.
Data | Manville | South pasadena |
---|---|---|
Population | 10,875 | 25,850 |
Median Age | 42.1 years | 40.6 years |
Median Income | $85,925 | $127,882 |
Married Families | 39.0% | 45.0% |
Poverty Level | 4% | 8% |
Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Manville vs South pasadena
- The population in South pasadena is higher at 25,850, compared to 10,875 in Manville.
- Residents in Manville have a higher median age of 42.1 years compared to 40.6 years in South pasadena.
- South pasadena has a higher median income of $127,882, compared to $85,925 in Manville.
- In South pasadena, the percentage of married families is higher at 45.0%, compared to 39.0% in Manville.
- The poverty level is higher in South pasadena at 8%, compared to 4% in Manville.
- South pasadena has a higher unemployment rate at 5.1% compared to 3.5% in Manville.
Demographics
Demographics Manville vs South pasadena provide insight into the diversity of the communities to compare.
Demographic | Manville | South pasadena |
---|---|---|
Black | 10 | 4 |
White | 60 | 31 |
Asian | 4 | 34 |
Hispanic | 17 | 19 |
Two or More Races | 7 | 12 |
American Indian | 2 | Data is updating |
Demographics Comparison: Manville vs South pasadena
- A higher percentage of Black residents are in Manville at 10% compared to 4% in South pasadena.
- Manville has a higher percentage of White residents at 60% compared to 31% in South pasadena.
- In South pasadena, the Asian population stands at 34%, greater than 4% in Manville.
- South pasadena has a higher percentage of Hispanic residents at 19%, compared to 17% in Manville.
- The percentage of residents identifying as two or more races is higher in South pasadena at 12%, compared to 7% in Manville.
- A greater percentage of American Indian residents live in Manville at 2% compared to 0% in South pasadena.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Manville | South pasadena |
---|---|---|
Mental Health Not Good | 16.1% | 11.9% |
Physical Health Not Good | 11.4% | 7.1% |
Depression | 21.0% | 13.8% |
Smoking | 16.6% | 6.3% |
Binge Drinking | 17.5% | 15.3% |
Obesity | 30.6% | 20.9% |
Disability Percentage | 13.0% | 7.0% |
Health Statistics Comparison: Manville vs South pasadena
- More residents in Manville report poor mental health at 16.1% compared to 11.9% in South pasadena.
- Depression is more prevalent in Manville at 21.0% compared to 13.8% in South pasadena.
- Smoking is more prevalent in Manville at 16.6% compared to 6.3% in South pasadena.
- Binge drinking is more common in Manville at 17.5% compared to 15.3% in South pasadena.
- Obesity rates are higher in Manville at 30.6% compared to 20.9% in South pasadena.
- Disability percentages are higher in Manville at 13.0% compared to 7.0% in South pasadena.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Manville | South pasadena |
---|---|---|
No Schooling | 0.2% (24) | 0.7% (177) |
High School Diploma | 23.7% (2,576) | 4.3% (1,111) |
Less than High School | 8.6% (937) | 3.0% (766) |
Bachelor's Degree and Higher | 20.5% (2,227) | 53.2% (13,751) |
Education Levels Comparison: Manville vs South pasadena
- In South pasadena, a larger percentage of residents lack formal schooling at 0.7% compared to 0.2% in Manville.
- A higher percentage of residents in Manville hold a high school diploma at 23.7% compared to 4.3% in South pasadena.
- More residents in Manville have less than a high school education at 8.6% compared to 3.0% in South pasadena.
- In South pasadena, a larger share of residents have a bachelor's degree or higher at 53.2% compared to 20.5% in Manville.
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.