Demographics details for Berlin, NJ vs Chino hills, CA
Population Overview
Compare main population characteristics in Berlin, NJ vs Chino hills, CA.
| Data | Berlin | Chino hills |
|---|---|---|
| Population | 7,506 | 77,949 |
| Median Age | 40.4 years | 39.4 years |
| Median Income | $98,706 | $117,548 |
| Married Families | 37.0% | 47.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Berlin vs Chino hills
- The population in Chino hills is higher at 77,949, compared to 7,506 in Berlin.
- Residents in Berlin have a higher median age of 40.4 years compared to 39.4 years in Chino hills.
- Chino hills has a higher median income of $117,548, compared to $98,706 in Berlin.
- In Chino hills, the percentage of married families is higher at 47.0%, compared to 37.0% in Berlin.
- The poverty level is higher in Chino hills at 8%, compared to 5% in Berlin.
- Chino hills has a higher unemployment rate at 3.5% compared to 3.2% in Berlin.
Demographics
Demographics Berlin vs Chino hills provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Chino hills |
|---|---|---|
| Black | 12 | 4 |
| White | 76 | 14 |
| Asian | 1 | 40 |
| Hispanic | 5 | 29 |
| Two or More Races | 6 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Berlin vs Chino hills
- A higher percentage of Black residents are in Berlin at 12% compared to 4% in Chino hills.
- Berlin has a higher percentage of White residents at 76% compared to 14% in Chino hills.
- In Chino hills, the Asian population stands at 40%, greater than 1% in Berlin.
- Chino hills has a higher percentage of Hispanic residents at 29%, compared to 5% in Berlin.
- The percentage of residents identifying as two or more races is higher in Chino hills at 13%, compared to 6% in Berlin.
- The percentage of American Indian residents is the same in both Berlin and Chino hills at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berlin | Chino hills |
|---|---|---|
| Mental Health Not Good | 15.9% | 12.7% |
| Physical Health Not Good | 9.9% | 8.0% |
| Depression | 23.8% | 14.6% |
| Smoking | 14.6% | 7.9% |
| Binge Drinking | 19.5% | 15.3% |
| Obesity | 28.0% | 28.4% |
| Disability Percentage | 13.0% | 7.0% |
Health Statistics Comparison: Berlin vs Chino hills
- More residents in Berlin report poor mental health at 15.9% compared to 12.7% in Chino hills.
- Depression is more prevalent in Berlin at 23.8% compared to 14.6% in Chino hills.
- Smoking is more prevalent in Berlin at 14.6% compared to 7.9% in Chino hills.
- Binge drinking is more common in Berlin at 19.5% compared to 15.3% in Chino hills.
- Chino hills has higher obesity rates at 28.4% compared to 28.0% in Berlin.
- Disability percentages are higher in Berlin at 13.0% compared to 7.0% in Chino hills.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Berlin | Chino hills |
|---|---|---|
| No Schooling | 0.4% (27) | 1.1% (849) |
| High School Diploma | 17.0% (1,279) | 9.6% (7,450) |
| Less than High School | 8.2% (612) | 7.2% (5,599) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 34.4% (26,814) |
Education Levels Comparison: Berlin vs Chino hills
- In Chino hills, 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 9.6% in Chino hills.
- More residents in Berlin have less than a high school education at 8.2% compared to 7.2% in Chino hills.
- In Chino hills, a larger share of residents have a bachelor's degree or higher at 34.4% 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.