Demographics details for Long prairie, MN vs Stuttgart, AR
Population Overview
Compare main population characteristics in Long prairie, MN vs Stuttgart, AR.
Data | Long prairie | Stuttgart |
---|---|---|
Population | 3,704 | 7,907 |
Median Age | 39.9 years | 37.8 years |
Median Income | $60,313 | $59,124 |
Married Families | 40.0% | 39.0% |
Poverty Level | 10% | 18% |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Long prairie vs Stuttgart
- The population in Stuttgart is higher at 7,907, compared to 3,704 in Long prairie.
- Residents in Long prairie have a higher median age of 39.9 years compared to 37.8 years in Stuttgart.
- Long prairie has a higher median income of $60,313 compared to $59,124 in Stuttgart.
- A higher percentage of married families is found in Long prairie at 40.0% compared to 39.0% in Stuttgart.
- The poverty level is higher in Stuttgart at 18%, compared to 10% in Long prairie.
- Stuttgart has a higher unemployment rate at 4.2% compared to 3.5% in Long prairie.
Demographics
Demographics Long prairie vs Stuttgart provide insight into the diversity of the communities to compare.
Demographic | Long prairie | Stuttgart |
---|---|---|
Black | 1 | 42 |
White | 45 | 53 |
Asian | 2 | Data is updating |
Hispanic | 34 | 2 |
Two or More Races | 18 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Long prairie vs Stuttgart
- In Stuttgart, the percentage of Black residents is higher at 42% compared to 1% in Long prairie.
- The percentage of White residents is higher in Stuttgart at 53% compared to 45% in Long prairie.
- The Asian population is larger in Long prairie at 2% compared to 0% in Stuttgart.
- The Hispanic community is larger in Long prairie at 34% compared to 2% in Stuttgart.
- More residents identify as two or more races in Long prairie at 18% compared to 3% in Stuttgart.
- The percentage of American Indian residents is the same in both Long prairie and Stuttgart at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Long prairie | Stuttgart |
---|---|---|
Mental Health Not Good | 15.7% | 19.8% |
Physical Health Not Good | 11.0% | 14.6% |
Depression | 23.0% | 24.4% |
Smoking | 20.2% | 23.1% |
Binge Drinking | 19.2% | 13.6% |
Obesity | 39.9% | 39.7% |
Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Long prairie vs Stuttgart
- In Stuttgart, a higher percentage report poor mental health at 19.8% compared to 15.7% in Long prairie.
- Higher depression rates are seen in Stuttgart at 24.4% versus 23.0% in Long prairie.
- Stuttgart has a higher smoking rate at 23.1% compared to 20.2% in Long prairie.
- Binge drinking is more common in Long prairie at 19.2% compared to 13.6% in Stuttgart.
- Obesity rates are higher in Long prairie at 39.9% compared to 39.7% in Stuttgart.
- There is a higher percentage of disabled individuals in Stuttgart at 20.0% 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 | Long prairie | Stuttgart |
---|---|---|
No Schooling | 1.2% (45) | 0.8% (63) |
High School Diploma | 26.9% (996) | 25.5% (2,015) |
Less than High School | 30.8% (1,140) | 14.5% (1,144) |
Bachelor's Degree and Higher | 7.1% (264) | 12.0% (948) |
Education Levels Comparison: Long prairie vs Stuttgart
- A higher percentage of residents in Long prairie have no formal schooling at 1.2% compared to 0.8% in Stuttgart.
- A higher percentage of residents in Long prairie hold a high school diploma at 26.9% compared to 25.5% in Stuttgart.
- More residents in Long prairie have less than a high school education at 30.8% compared to 14.5% in Stuttgart.
- In Stuttgart, a larger share of residents have a bachelor's degree or higher at 12.0% 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.