Demographics details for Berlin, NJ vs Long prairie, MN
Population Overview
Compare main population characteristics in Berlin, NJ vs Long prairie, MN.
| Data | Berlin | Long prairie |
|---|---|---|
| Population | 7,506 | 3,704 |
| Median Age | 40.4 years | 39.9 years |
| Median Income | $98,706 | $60,313 |
| Married Families | 37.0% | 40.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Berlin vs Long prairie
- In Berlin, the population is higher at 7,506, compared to 3,704 in Long prairie.
- Residents in Berlin have a higher median age of 40.4 years compared to 39.9 years in Long prairie.
- Berlin has a higher median income of $98,706 compared to $60,313 in Long prairie.
- In Long prairie, the percentage of married families is higher at 40.0%, compared to 37.0% in Berlin.
- The poverty level is higher in Long prairie at 10%, compared to 5% in Berlin.
- Long prairie has a higher unemployment rate at 3.5% compared to 3.2% in Berlin.
Demographics
Demographics Berlin vs Long prairie provide insight into the diversity of the communities to compare.
| Demographic | Berlin | Long prairie |
|---|---|---|
| Black | 12 | 1 |
| White | 76 | 45 |
| Asian | 1 | 2 |
| Hispanic | 5 | 34 |
| Two or More Races | 6 | 18 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Berlin vs Long prairie
- A higher percentage of Black residents are in Berlin at 12% compared to 1% in Long prairie.
- Berlin has a higher percentage of White residents at 76% compared to 45% in Long prairie.
- In Long prairie, the Asian population stands at 2%, greater than 1% in Berlin.
- Long prairie has a higher percentage of Hispanic residents at 34%, compared to 5% in Berlin.
- The percentage of residents identifying as two or more races is higher in Long prairie at 18%, compared to 6% in Berlin.
- The percentage of American Indian residents is the same in both Berlin and Long prairie at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Berlin | Long prairie |
|---|---|---|
| Mental Health Not Good | 15.9% | 15.7% |
| Physical Health Not Good | 9.9% | 11.0% |
| Depression | 23.8% | 23.0% |
| Smoking | 14.6% | 20.2% |
| Binge Drinking | 19.5% | 19.2% |
| Obesity | 28.0% | 39.9% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Berlin vs Long prairie
- More residents in Berlin report poor mental health at 15.9% compared to 15.7% in Long prairie.
- Depression is more prevalent in Berlin at 23.8% compared to 23.0% in Long prairie.
- Long prairie has a higher smoking rate at 20.2% compared to 14.6% in Berlin.
- Binge drinking is more common in Berlin at 19.5% compared to 19.2% in Long prairie.
- Long prairie has higher obesity rates at 39.9% compared to 28.0% in Berlin.
- Disability percentages are the same in both Berlin and Long prairie at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Berlin | Long prairie |
|---|---|---|
| No Schooling | 0.4% (27) | 1.2% (45) |
| High School Diploma | 17.0% (1,279) | 26.9% (996) |
| Less than High School | 8.2% (612) | 30.8% (1,140) |
| Bachelor's Degree and Higher | 22.7% (1,706) | 7.1% (264) |
Education Levels Comparison: Berlin vs Long prairie
- In Long prairie, a larger percentage of residents lack formal schooling at 1.2% compared to 0.4% in Berlin.
- In Long prairie, the rate of residents with high school diplomas is higher at 26.9% compared to 17.0% in Berlin.
- The percentage of residents with less than a high school education is higher in Long prairie at 30.8%, 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 7.1% in Long prairie.
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.