Demographics details for Berlin, NJ vs Santa monica, CA
Population Overview
Compare main population characteristics in Berlin, NJ vs Santa monica, CA.
| Data | Berlin | Santa monica |
|---|---|---|
| Population | 7,506 | 89,947 |
| Median Age | 40.4 years | 42.1 years |
| Median Income | $98,706 | $106,797 |
| Married Families | 37.0% | 35.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 3.2 | 5.8 |
Population Comparison: Berlin vs Santa monica
- The population in Santa monica is higher at 89,947, compared to 7,506 in Berlin.
- The median age in Santa monica is higher at 42.1 years, compared to 40.4 years in Berlin.
- Santa monica has a higher median income of $106,797, compared to $98,706 in Berlin.
- A higher percentage of married families is found in Berlin at 37.0% compared to 35.0% in Santa monica.
- The poverty level is higher in Santa monica at 11%, compared to 5% in Berlin.
- Santa monica has a higher unemployment rate at 5.8% compared to 3.2% in Berlin.
Demographics
Demographics Berlin vs Santa monica provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Santa monica |
|---|---|---|
| Black | 12 | 5 |
| White | 76 | 55 |
| Asian | 1 | 9 |
| Hispanic | 5 | 18 |
| Two or More Races | 6 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Berlin vs Santa monica
- A higher percentage of Black residents are in Berlin at 12% compared to 5% in Santa monica.
- Berlin has a higher percentage of White residents at 76% compared to 55% in Santa monica.
- In Santa monica, the Asian population stands at 9%, greater than 1% in Berlin.
- Santa monica has a higher percentage of Hispanic residents at 18%, compared to 5% in Berlin.
- The percentage of residents identifying as two or more races is higher in Santa monica at 12%, compared to 6% in Berlin.
- In Santa monica, the percentage of American Indian residents is higher at 1%, compared to 0% in Berlin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berlin | Santa monica |
|---|---|---|
| Mental Health Not Good | 15.9% | 13.5% |
| Physical Health Not Good | 9.9% | 8.1% |
| Depression | 23.8% | 16.6% |
| Smoking | 14.6% | 7.5% |
| Binge Drinking | 19.5% | 17.2% |
| Obesity | 28.0% | 24.1% |
| Disability Percentage | 13.0% | 9.0% |
Health Statistics Comparison: Berlin vs Santa monica
- More residents in Berlin report poor mental health at 15.9% compared to 13.5% in Santa monica.
- Depression is more prevalent in Berlin at 23.8% compared to 16.6% in Santa monica.
- Smoking is more prevalent in Berlin at 14.6% compared to 7.5% in Santa monica.
- Binge drinking is more common in Berlin at 19.5% compared to 17.2% in Santa monica.
- Obesity rates are higher in Berlin at 28.0% compared to 24.1% in Santa monica.
- Disability percentages are higher in Berlin at 13.0% compared to 9.0% in Santa monica.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Berlin | Santa monica |
|---|---|---|
| No Schooling | 0.4% (27) | 1.1% (950) |
| High School Diploma | 17.0% (1,279) | 6.2% (5,554) |
| Less than High School | 8.2% (612) | 7.9% (7,118) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 55.4% (49,805) |
Education Levels Comparison: Berlin vs Santa monica
- In Santa monica, a larger percentage of residents lack formal schooling at 1.1% compared to 0.4% in Berlin.
- A higher percentage of residents in Berlin hold a high school diploma at 17.0% compared to 6.2% in Santa monica.
- More residents in Berlin have less than a high school education at 8.2% compared to 7.9% in Santa monica.
- In Santa monica, a larger share of residents have a bachelor's degree or higher at 55.4% compared to 22.7% in Berlin.
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.