Demographics details for Berlin, NJ vs Garden city, MI
Population Overview
Compare main population characteristics in Berlin, NJ vs Garden city, MI.
| Data | Berlin | Garden city |
|---|---|---|
| Population | 7,506 | 26,815 |
| Median Age | 40.4 years | 40.9 years |
| Median Income | $98,706 | $63,630 |
| Married Families | 37.0% | 38.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Berlin vs Garden city
- The population in Garden city is higher at 26,815, compared to 7,506 in Berlin.
- The median age in Garden city is higher at 40.9 years, compared to 40.4 years in Berlin.
- Berlin has a higher median income of $98,706 compared to $63,630 in Garden city.
- In Garden city, the percentage of married families is higher at 38.0%, compared to 37.0% in Berlin.
- The poverty level is higher in Garden city at 12%, compared to 5% in Berlin.
- Garden city has a higher unemployment rate at 4.2% compared to 3.2% in Berlin.
Demographics
Demographics Berlin vs Garden city provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Garden city |
|---|---|---|
| Black | 12 | 6 |
| White | 76 | 82 |
| Asian | 1 | 1 |
| Hispanic | 5 | 5 |
| Two or More Races | 6 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Berlin vs Garden city
- A higher percentage of Black residents are in Berlin at 12% compared to 6% in Garden city.
- The percentage of White residents is higher in Garden city at 82% compared to 76% in Berlin.
- Both Berlin and Garden city have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Berlin and Garden city at 5%.
- Both Berlin and Garden city 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 Berlin and Garden city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berlin | Garden city |
|---|---|---|
| Mental Health Not Good | 15.9% | 17.7% |
| Physical Health Not Good | 9.9% | 11.6% |
| Depression | 23.8% | 25.2% |
| Smoking | 14.6% | 21.5% |
| Binge Drinking | 19.5% | 19.7% |
| Obesity | 28.0% | 32.1% |
| Disability Percentage | 13.0% | 15.0% |
Health Statistics Comparison: Berlin vs Garden city
- In Garden city, a higher percentage report poor mental health at 17.7% compared to 15.9% in Berlin.
- Higher depression rates are seen in Garden city at 25.2% versus 23.8% in Berlin.
- Garden city has a higher smoking rate at 21.5% compared to 14.6% in Berlin.
- More residents engage in binge drinking in Garden city at 19.7% compared to 19.5% in Berlin.
- Garden city has higher obesity rates at 32.1% compared to 28.0% in Berlin.
- There is a higher percentage of disabled individuals in Garden city at 15.0% compared to 13.0% in Berlin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Berlin | Garden city |
|---|---|---|
| No Schooling | 0.4% (27) | 1.1% (294) |
| High School Diploma | 17.0% (1,279) | 22.7% (6,076) |
| Less than High School | 8.2% (612) | 12.9% (3,455) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 10.2% (2,739) |
Education Levels Comparison: Berlin vs Garden city
- In Garden city, a larger percentage of residents lack formal schooling at 1.1% compared to 0.4% in Berlin.
- In Garden city, the rate of residents with high school diplomas is higher at 22.7% compared to 17.0% in Berlin.
- The percentage of residents with less than a high school education is higher in Garden city at 12.9%, 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 10.2% in Garden city.
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.