Demographics details for Long prairie, MN vs Englewood, NJ
Population Overview
Compare main population characteristics in Long prairie, MN vs Englewood, NJ.
Data | Long prairie | Englewood |
---|---|---|
Population | 3,704 | 29,034 |
Median Age | 39.9 years | 43.6 years |
Median Income | $60,313 | $93,134 |
Married Families | 40.0% | 42.0% |
Poverty Level | 10% | 7% |
Unemployment Rate | 3.5 | 4.4 |
Population Comparison: Long prairie vs Englewood
- The population in Englewood is higher at 29,034, compared to 3,704 in Long prairie.
- The median age in Englewood is higher at 43.6 years, compared to 39.9 years in Long prairie.
- Englewood has a higher median income of $93,134, compared to $60,313 in Long prairie.
- In Englewood, the percentage of married families is higher at 42.0%, compared to 40.0% in Long prairie.
- Long prairie has a higher poverty level at 10% compared to 7% in Englewood.
- Englewood has a higher unemployment rate at 4.4% compared to 3.5% in Long prairie.
Demographics
Demographics Long prairie vs Englewood provide insight into the diversity of the communities to compare.
Demographic | Long prairie | Englewood |
---|---|---|
Black | 1 | 23 |
White | 45 | 26 |
Asian | 2 | 12 |
Hispanic | 34 | 29 |
Two or More Races | 18 | 9 |
American Indian | Data is updating | 1 |
Demographics Comparison: Long prairie vs Englewood
- In Englewood, the percentage of Black residents is higher at 23% compared to 1% in Long prairie.
- Long prairie has a higher percentage of White residents at 45% compared to 26% in Englewood.
- In Englewood, the Asian population stands at 12%, greater than 2% in Long prairie.
- The Hispanic community is larger in Long prairie at 34% compared to 29% in Englewood.
- More residents identify as two or more races in Long prairie at 18% compared to 9% in Englewood.
- In Englewood, the percentage of American Indian residents is higher at 1%, compared to 0% in Long prairie.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Long prairie | Englewood |
---|---|---|
Mental Health Not Good | 15.7% | 13.9% |
Physical Health Not Good | 11.0% | 9.2% |
Depression | 23.0% | 15.4% |
Smoking | 20.2% | 12.6% |
Binge Drinking | 19.2% | 15.5% |
Obesity | 39.9% | 30.4% |
Disability Percentage | 13.0% | 8.0% |
Health Statistics Comparison: Long prairie vs Englewood
- More residents in Long prairie report poor mental health at 15.7% compared to 13.9% in Englewood.
- Depression is more prevalent in Long prairie at 23.0% compared to 15.4% in Englewood.
- Smoking is more prevalent in Long prairie at 20.2% compared to 12.6% in Englewood.
- Binge drinking is more common in Long prairie at 19.2% compared to 15.5% in Englewood.
- Obesity rates are higher in Long prairie at 39.9% compared to 30.4% in Englewood.
- Disability percentages are higher in Long prairie at 13.0% compared to 8.0% in Englewood.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Long prairie | Englewood |
---|---|---|
No Schooling | 1.2% (45) | 1.2% (344) |
High School Diploma | 26.9% (996) | 13.9% (4,023) |
Less than High School | 30.8% (1,140) | 11.8% (3,433) |
Bachelor's Degree and Higher | 7.1% (264) | 31.9% (9,262) |
Education Levels Comparison: Long prairie vs Englewood
- The percentage of residents with no formal schooling is the same in both Long prairie and Englewood at 1.2%.
- A higher percentage of residents in Long prairie hold a high school diploma at 26.9% compared to 13.9% in Englewood.
- More residents in Long prairie have less than a high school education at 30.8% compared to 11.8% in Englewood.
- In Englewood, a larger share of residents have a bachelor's degree or higher at 31.9% 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.