Demographics details for Closter, NJ vs Paramount, CA
Population Overview
Compare main population characteristics in Closter, NJ vs Paramount, CA.
Data | Closter | Paramount |
---|---|---|
Population | 8,514 | 51,653 |
Median Age | 40.4 years | 31.9 years |
Median Income | $181,652 | $67,197 |
Married Families | 47.0% | 32.0% |
Poverty Level | 2% | 15% |
Unemployment Rate | 5.1 | 6.4 |
Population Comparison: Closter vs Paramount
- The population in Paramount is higher at 51,653, compared to 8,514 in Closter.
- Residents in Closter have a higher median age of 40.4 years compared to 31.9 years in Paramount.
- Closter has a higher median income of $181,652 compared to $67,197 in Paramount.
- A higher percentage of married families is found in Closter at 47.0% compared to 32.0% in Paramount.
- The poverty level is higher in Paramount at 15%, compared to 2% in Closter.
- Paramount has a higher unemployment rate at 6.4% compared to 5.1% in Closter.
Demographics
Demographics Closter vs Paramount provide insight into the diversity of the communities to compare.
Demographic | Closter | Paramount |
---|---|---|
Black | 3 | 9 |
White | 44 | -20 |
Asian | 35 | 4 |
Hispanic | 8 | 84 |
Two or More Races | 8 | 21 |
American Indian | 2 | 2 |
Demographics Comparison: Closter vs Paramount
- In Paramount, the percentage of Black residents is higher at 9% compared to 3% in Closter.
- Closter has a higher percentage of White residents at 44% compared to -20% in Paramount.
- The Asian population is larger in Closter at 35% compared to 4% in Paramount.
- Paramount has a higher percentage of Hispanic residents at 84%, compared to 8% in Closter.
- The percentage of residents identifying as two or more races is higher in Paramount at 21%, compared to 8% in Closter.
- The percentage of American Indian residents is the same in both Closter and Paramount at 2%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Closter | Paramount |
---|---|---|
Mental Health Not Good | 11.7% | 17.0% |
Physical Health Not Good | 6.9% | 14.4% |
Depression | 14.9% | 16.2% |
Smoking | 9.4% | 13.3% |
Binge Drinking | 16.0% | 14.2% |
Obesity | 21.2% | 34.2% |
Disability Percentage | 8.0% | 8.0% |
Health Statistics Comparison: Closter vs Paramount
- In Paramount, a higher percentage report poor mental health at 17.0% compared to 11.7% in Closter.
- Higher depression rates are seen in Paramount at 16.2% versus 14.9% in Closter.
- Paramount has a higher smoking rate at 13.3% compared to 9.4% in Closter.
- Binge drinking is more common in Closter at 16.0% compared to 14.2% in Paramount.
- Paramount has higher obesity rates at 34.2% compared to 21.2% in Closter.
- Disability percentages are the same in both Closter and Paramount at 8.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Closter | Paramount |
---|---|---|
No Schooling | 0.6% (49) | 5.0% (2,572) |
High School Diploma | 8.7% (744) | 16.3% (8,418) |
Less than High School | 5.4% (457) | 42.4% (21,924) |
Bachelor's Degree and Higher | 44.4% (3,779) | 8.3% (4,297) |
Education Levels Comparison: Closter vs Paramount
- In Paramount, a larger percentage of residents lack formal schooling at 5.0% compared to 0.6% in Closter.
- In Paramount, the rate of residents with high school diplomas is higher at 16.3% compared to 8.7% in Closter.
- The percentage of residents with less than a high school education is higher in Paramount at 42.4%, compared to 5.4% in Closter.
- A higher percentage of residents in Closter hold a bachelor's degree or higher at 44.4% compared to 8.3% in Paramount.
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.