Demographics details for Closter, NJ vs San leandro, CA
Population Overview
Compare main population characteristics in Closter, NJ vs San leandro, CA.
| Data | Closter | San leandro |
|---|---|---|
| Population | 8,514 | 86,762 |
| Median Age | 40.4 years | 41.5 years |
| Median Income | $181,652 | $97,141 |
| Married Families | 47.0% | 40.0% |
| Poverty Level | 2% | 12% |
| Unemployment Rate | 5.1 | 4.8 |
Population Comparison: Closter vs San leandro
- The population in San leandro is higher at 86,762, compared to 8,514 in Closter.
- The median age in San leandro is higher at 41.5 years, compared to 40.4 years in Closter.
- Closter has a higher median income of $181,652 compared to $97,141 in San leandro.
- A higher percentage of married families is found in Closter at 47.0% compared to 40.0% in San leandro.
- The poverty level is higher in San leandro at 12%, compared to 2% in Closter.
- The unemployment rate in Closter is higher at 5.1%, compared to 4.8% in San leandro.
Demographics
Demographics Closter vs San leandro provide insight into the diversity of the communities to compare.
| Demographic | Closter | San leandro |
|---|---|---|
| Black | 3 | 11 |
| White | 44 | 12 |
| Asian | 35 | 36 |
| Hispanic | 8 | 29 |
| Two or More Races | 8 | 11 |
| American Indian | 2 | 1 |
Demographics Comparison: Closter vs San leandro
- In San leandro, the percentage of Black residents is higher at 11% compared to 3% in Closter.
- Closter has a higher percentage of White residents at 44% compared to 12% in San leandro.
- In San leandro, the Asian population stands at 36%, greater than 35% in Closter.
- San leandro has a higher percentage of Hispanic residents at 29%, compared to 8% in Closter.
- The percentage of residents identifying as two or more races is higher in San leandro at 11%, compared to 8% in Closter.
- A greater percentage of American Indian residents live in Closter at 2% compared to 1% in San leandro.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Closter | San leandro |
|---|---|---|
| Mental Health Not Good | 11.7% | 15.1% |
| Physical Health Not Good | 6.9% | 9.9% |
| Depression | 14.9% | 16.8% |
| Smoking | 9.4% | 11.1% |
| Binge Drinking | 16.0% | 14.6% |
| Obesity | 21.2% | 26.7% |
| Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Closter vs San leandro
- In San leandro, a higher percentage report poor mental health at 15.1% compared to 11.7% in Closter.
- Higher depression rates are seen in San leandro at 16.8% versus 14.9% in Closter.
- San leandro has a higher smoking rate at 11.1% compared to 9.4% in Closter.
- Binge drinking is more common in Closter at 16.0% compared to 14.6% in San leandro.
- San leandro has higher obesity rates at 26.7% compared to 21.2% in Closter.
- There is a higher percentage of disabled individuals in San leandro at 11.0% compared to 8.0% in Closter.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Closter | San leandro |
|---|---|---|
| No Schooling | 0.6% (49) | 3.5% (2,999) |
| High School Diploma | 8.7% (744) | 16.2% (14,031) |
| Less than High School | 5.4% (457) | 17.8% (15,482) |
| Bachelor's Degree and Higher | 44.4% (3,779) | 25.2% (21,903) |
Education Levels Comparison: Closter vs San leandro
- In San leandro, a larger percentage of residents lack formal schooling at 3.5% compared to 0.6% in Closter.
- In San leandro, the rate of residents with high school diplomas is higher at 16.2% compared to 8.7% in Closter.
- The percentage of residents with less than a high school education is higher in San leandro at 17.8%, 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 25.2% in San leandro.
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.