Demographics details for Berlin, NJ vs Kirkland, IL
Population Overview
Compare main population characteristics in Berlin, NJ vs Kirkland, IL.
| Data | Berlin | Kirkland |
|---|---|---|
| Population | 7,506 | 1,631 |
| Median Age | 40.4 years | 34.8 years |
| Median Income | $98,706 | $86,950 |
| Married Families | 37.0% | 36.0% |
| Poverty Level | 5% | Data is updating |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Berlin vs Kirkland
- In Berlin, the population is higher at 7,506, compared to 1,631 in Kirkland.
- Residents in Berlin have a higher median age of 40.4 years compared to 34.8 years in Kirkland.
- Berlin has a higher median income of $98,706 compared to $86,950 in Kirkland.
- A higher percentage of married families is found in Berlin at 37.0% compared to 36.0% in Kirkland.
- Berlin has a higher poverty level at 5% compared to 0% in Kirkland.
- Kirkland has a higher unemployment rate at 4.5% compared to 3.2% in Berlin.
Demographics
Demographics Berlin vs Kirkland provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Kirkland |
|---|---|---|
| Black | 12 | Data is updating |
| White | 76 | 89 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | 6 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Berlin vs Kirkland
- A higher percentage of Black residents are in Berlin at 12% compared to 0% in Kirkland.
- The percentage of White residents is higher in Kirkland at 89% compared to 76% in Berlin.
- The Asian population is larger in Berlin at 1% compared to 0% in Kirkland.
- Kirkland has a higher percentage of Hispanic residents at 6%, compared to 5% in Berlin.
- More residents identify as two or more races in Berlin at 6% compared to 5% in Kirkland.
- The percentage of American Indian residents is the same in both Berlin and Kirkland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berlin | Kirkland |
|---|---|---|
| Mental Health Not Good | 15.9% | 16.1% |
| Physical Health Not Good | 9.9% | 10.5% |
| Depression | 23.8% | 21.8% |
| Smoking | 14.6% | 16.3% |
| Binge Drinking | 19.5% | 18.8% |
| Obesity | 28.0% | 36.2% |
| Disability Percentage | 13.0% | 12.0% |
Health Statistics Comparison: Berlin vs Kirkland
- In Kirkland, a higher percentage report poor mental health at 16.1% compared to 15.9% in Berlin.
- Depression is more prevalent in Berlin at 23.8% compared to 21.8% in Kirkland.
- Kirkland has a higher smoking rate at 16.3% compared to 14.6% in Berlin.
- Binge drinking is more common in Berlin at 19.5% compared to 18.8% in Kirkland.
- Kirkland has higher obesity rates at 36.2% compared to 28.0% in Berlin.
- Disability percentages are higher in Berlin at 13.0% compared to 12.0% in Kirkland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Berlin | Kirkland |
|---|---|---|
| No Schooling | 0.4% (27) | 0.3% (5) |
| High School Diploma | 17.0% (1,279) | 12.5% (204) |
| Less than High School | 8.2% (612) | 11.4% (186) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 12.4% (203) |
Education Levels Comparison: Berlin vs Kirkland
- A higher percentage of residents in Berlin have no formal schooling at 0.4% compared to 0.3% in Kirkland.
- A higher percentage of residents in Berlin hold a high school diploma at 17.0% compared to 12.5% in Kirkland.
- The percentage of residents with less than a high school education is higher in Kirkland at 11.4%, compared to 8.2% in Berlin.
- A higher percentage of residents in Berlin hold a bachelor's degree or higher at 22.7% compared to 12.4% in Kirkland.
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.