Demographics details for Brookfield, WI vs Berlin, NJ
Population Overview
Compare main population characteristics in Brookfield, WI vs Berlin, NJ.
Data | Brookfield | Berlin |
---|---|---|
Population | 41,958 | 7,506 |
Median Age | 43.8 years | 40.4 years |
Median Income | $121,837 | $98,706 |
Married Families | 51.0% | 37.0% |
Poverty Level | 4% | 5% |
Unemployment Rate | 3.3 | 3.2 |
Population Comparison: Brookfield vs Berlin
- In Brookfield, the population is higher at 41,958, compared to 7,506 in Berlin.
- Residents in Brookfield have a higher median age of 43.8 years compared to 40.4 years in Berlin.
- Brookfield has a higher median income of $121,837 compared to $98,706 in Berlin.
- A higher percentage of married families is found in Brookfield at 51.0% compared to 37.0% in Berlin.
- The poverty level is higher in Berlin at 5%, compared to 4% in Brookfield.
- The unemployment rate in Brookfield is higher at 3.3%, compared to 3.2% in Berlin.
Demographics
Demographics Brookfield vs Berlin provide insight into the diversity of the communities to compare.
Demographic | Brookfield | Berlin |
---|---|---|
Black | 1 | 12 |
White | 79 | 76 |
Asian | 11 | 1 |
Hispanic | 3 | 5 |
Two or More Races | 6 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Brookfield vs Berlin
- In Berlin, the percentage of Black residents is higher at 12% compared to 1% in Brookfield.
- Brookfield has a higher percentage of White residents at 79% compared to 76% in Berlin.
- The Asian population is larger in Brookfield at 11% compared to 1% in Berlin.
- Berlin has a higher percentage of Hispanic residents at 5%, compared to 3% in Brookfield.
- Both Brookfield and Berlin have the same percentage of residents identifying as two or more races at 6%.
- The percentage of American Indian residents is the same in both Brookfield and Berlin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Brookfield | Berlin |
---|---|---|
Mental Health Not Good | 11.7% | 15.9% |
Physical Health Not Good | 6.9% | 9.9% |
Depression | 19.0% | 23.8% |
Smoking | 9.8% | 14.6% |
Binge Drinking | 24.7% | 19.5% |
Obesity | 31.5% | 28.0% |
Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Brookfield vs Berlin
- In Berlin, a higher percentage report poor mental health at 15.9% compared to 11.7% in Brookfield.
- Higher depression rates are seen in Berlin at 23.8% versus 19.0% in Brookfield.
- Berlin has a higher smoking rate at 14.6% compared to 9.8% in Brookfield.
- Binge drinking is more common in Brookfield at 24.7% compared to 19.5% in Berlin.
- Obesity rates are higher in Brookfield at 31.5% compared to 28.0% in Berlin.
- There is a higher percentage of disabled individuals in Berlin at 13.0% compared to 8.0% in Brookfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Brookfield | Berlin |
---|---|---|
No Schooling | 0.2% (102) | 0.4% (27) |
High School Diploma | 8.5% (3,547) | 17.0% (1,279) |
Less than High School | 2.9% (1,215) | 8.2% (612) |
Bachelor's Degree and Higher | 43.3% (18,147) | 22.7% (1,706) |
Education Levels Comparison: Brookfield vs Berlin
- In Berlin, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Brookfield.
- In Berlin, the rate of residents with high school diplomas is higher at 17.0% compared to 8.5% in Brookfield.
- The percentage of residents with less than a high school education is higher in Berlin at 8.2%, compared to 2.9% in Brookfield.
- A higher percentage of residents in Brookfield hold a bachelor's degree or higher at 43.3% 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.