Demographics details for Washington, ME vs Long prairie, MN
Population Overview
Compare main population characteristics in Washington, ME vs Long prairie, MN.
Data | Washington | Long prairie |
---|---|---|
Population | 31,437 | 3,704 |
Median Age | 48.6 years | 39.9 years |
Median Income | $51,669 | $60,313 |
Married Families | 41.0% | 40.0% |
Poverty Level | 8% | 10% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Washington vs Long prairie
- In Washington, the population is higher at 31,437, compared to 3,704 in Long prairie.
- Residents in Washington have a higher median age of 48.6 years compared to 39.9 years in Long prairie.
- Long prairie has a higher median income of $60,313, compared to $51,669 in Washington.
- A higher percentage of married families is found in Washington at 41.0% compared to 40.0% in Long prairie.
- The poverty level is higher in Long prairie at 10%, compared to 8% in Washington.
- The unemployment rate is the same in both Washington and Long prairie at 3.5%.
Demographics
Demographics Washington vs Long prairie provide insight into the diversity of the communities to compare.
Demographic | Washington | Long prairie |
---|---|---|
Black | 1 | 1 |
White | 87 | 45 |
Asian | Data is updating | 2 |
Hispanic | 3 | 34 |
Two or More Races | 4 | 18 |
American Indian | 5 | Data is updating |
Demographics Comparison: Washington vs Long prairie
- The percentage of Black residents is the same in both Washington and Long prairie at 1%.
- Washington has a higher percentage of White residents at 87% compared to 45% in Long prairie.
- In Long prairie, the Asian population stands at 2%, greater than 0% in Washington.
- Long prairie has a higher percentage of Hispanic residents at 34%, compared to 3% in Washington.
- The percentage of residents identifying as two or more races is higher in Long prairie at 18%, compared to 4% in Washington.
- A greater percentage of American Indian residents live in Washington at 5% compared to 0% in Long prairie.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Washington | Long prairie |
---|---|---|
Mental Health Not Good | 19.6% | 15.7% |
Physical Health Not Good | 12.4% | 11.0% |
Depression | 27.9% | 23.0% |
Smoking | 21.6% | 20.2% |
Binge Drinking | 17.8% | 19.2% |
Obesity | 37.0% | 39.9% |
Disability Percentage | 22.0% | 13.0% |
Health Statistics Comparison: Washington vs Long prairie
- More residents in Washington report poor mental health at 19.6% compared to 15.7% in Long prairie.
- Depression is more prevalent in Washington at 27.9% compared to 23.0% in Long prairie.
- Smoking is more prevalent in Washington at 21.6% compared to 20.2% in Long prairie.
- More residents engage in binge drinking in Long prairie at 19.2% compared to 17.8% in Washington.
- Long prairie has higher obesity rates at 39.9% compared to 37.0% in Washington.
- Disability percentages are higher in Washington at 22.0% compared to 13.0% in Long prairie.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Washington | Long prairie |
---|---|---|
No Schooling | 0.5% (169) | 1.2% (45) |
High School Diploma | 22.0% (6,922) | 26.9% (996) |
Less than High School | 12.7% (4,002) | 30.8% (1,140) |
Bachelor's Degree and Higher | 18.0% (5,667) | 7.1% (264) |
Education Levels Comparison: Washington vs Long prairie
- In Long prairie, a larger percentage of residents lack formal schooling at 1.2% compared to 0.5% in Washington.
- In Long prairie, the rate of residents with high school diplomas is higher at 26.9% compared to 22.0% in Washington.
- The percentage of residents with less than a high school education is higher in Long prairie at 30.8%, compared to 12.7% in Washington.
- A higher percentage of residents in Washington hold a bachelor's degree or higher at 18.0% 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.