Demographics details for Berlin, NJ vs Newport beach, CA
Population Overview
Compare main population characteristics in Berlin, NJ vs Newport beach, CA.
| Data | Berlin | Newport beach |
|---|---|---|
| Population | 7,506 | 83,993 |
| Median Age | 40.4 years | 46.7 years |
| Median Income | $98,706 | $149,471 |
| Married Families | 37.0% | 45.0% |
| Poverty Level | 5% | 6% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Berlin vs Newport beach
- The population in Newport beach is higher at 83,993, compared to 7,506 in Berlin.
- The median age in Newport beach is higher at 46.7 years, compared to 40.4 years in Berlin.
- Newport beach has a higher median income of $149,471, compared to $98,706 in Berlin.
- In Newport beach, the percentage of married families is higher at 45.0%, compared to 37.0% in Berlin.
- The poverty level is higher in Newport beach at 6%, compared to 5% in Berlin.
- Newport beach has a higher unemployment rate at 3.5% compared to 3.2% in Berlin.
Demographics
Demographics Berlin vs Newport beach provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Newport beach |
|---|---|---|
| Black | 12 | 1 |
| White | 76 | 71 |
| Asian | 1 | 8 |
| Hispanic | 5 | 11 |
| Two or More Races | 6 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Berlin vs Newport beach
- A higher percentage of Black residents are in Berlin at 12% compared to 1% in Newport beach.
- Berlin has a higher percentage of White residents at 76% compared to 71% in Newport beach.
- In Newport beach, the Asian population stands at 8%, greater than 1% in Berlin.
- Newport beach has a higher percentage of Hispanic residents at 11%, compared to 5% in Berlin.
- The percentage of residents identifying as two or more races is higher in Newport beach at 9%, compared to 6% in Berlin.
- The percentage of American Indian residents is the same in both Berlin and Newport beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berlin | Newport beach |
|---|---|---|
| Mental Health Not Good | 15.9% | 13.2% |
| Physical Health Not Good | 9.9% | 7.5% |
| Depression | 23.8% | 18.2% |
| Smoking | 14.6% | 7.3% |
| Binge Drinking | 19.5% | 18.7% |
| Obesity | 28.0% | 23.5% |
| Disability Percentage | 13.0% | 8.0% |
Health Statistics Comparison: Berlin vs Newport beach
- More residents in Berlin report poor mental health at 15.9% compared to 13.2% in Newport beach.
- Depression is more prevalent in Berlin at 23.8% compared to 18.2% in Newport beach.
- Smoking is more prevalent in Berlin at 14.6% compared to 7.3% in Newport beach.
- Binge drinking is more common in Berlin at 19.5% compared to 18.7% in Newport beach.
- Obesity rates are higher in Berlin at 28.0% compared to 23.5% in Newport beach.
- Disability percentages are higher in Berlin at 13.0% compared to 8.0% in Newport beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Berlin | Newport beach |
|---|---|---|
| No Schooling | 0.4% (27) | 0.5% (429) |
| High School Diploma | 17.0% (1,279) | 5.1% (4,249) |
| Less than High School | 8.2% (612) | 3.7% (3,142) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 53.0% (44,551) |
Education Levels Comparison: Berlin vs Newport beach
- In Newport beach, a larger percentage of residents lack formal schooling at 0.5% compared to 0.4% in Berlin.
- A higher percentage of residents in Berlin hold a high school diploma at 17.0% compared to 5.1% in Newport beach.
- More residents in Berlin have less than a high school education at 8.2% compared to 3.7% in Newport beach.
- In Newport beach, a larger share of residents have a bachelor's degree or higher at 53.0% 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.