Demographics details for Long prairie, MN vs Otto, NC
Population Overview
Compare main population characteristics in Long prairie, MN vs Otto, NC.
| Data | Long prairie | Otto |
|---|---|---|
| Population | 3,704 | 1,000 |
| Median Age | 39.9 years | 45.0 years |
| Median Income | $60,313 | $50,000 |
| Married Families | 40.0% | 300.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Long prairie vs Otto
- In Long prairie, the population is higher at 3,704, compared to 1,000 in Otto.
- The median age in Otto is higher at 45.0 years, compared to 39.9 years in Long prairie.
- Long prairie has a higher median income of $60,313 compared to $50,000 in Otto.
- In Otto, the percentage of married families is higher at 300.0%, compared to 40.0% in Long prairie.
- The poverty level is higher in Otto at 12%, compared to 10% in Long prairie.
- Otto has a higher unemployment rate at 4.5% compared to 3.5% in Long prairie.
Demographics
Demographics Long prairie vs Otto provide insight into the diversity of the communities to compare.
| Demographic | Long prairie | Otto |
|---|---|---|
| Black | 1 | 5 |
| White | 45 | 95 |
| Asian | 2 | Data is updating |
| Hispanic | 34 | Data is updating |
| Two or More Races | 18 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Long prairie vs Otto
- In Otto, the percentage of Black residents is higher at 5% compared to 1% in Long prairie.
- The percentage of White residents is higher in Otto at 95% compared to 45% in Long prairie.
- The Asian population is larger in Long prairie at 2% compared to 0% in Otto.
- The Hispanic community is larger in Long prairie at 34% compared to 0% in Otto.
- More residents identify as two or more races in Long prairie at 18% compared to 0% in Otto.
- The percentage of American Indian residents is the same in both Long prairie and Otto at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Long prairie | Otto |
|---|---|---|
| Mental Health Not Good | 15.7% | Data is updating% |
| Physical Health Not Good | 11.0% | Data is updating% |
| Depression | 23.0% | Data is updating% |
| Smoking | 20.2% | Data is updating% |
| Binge Drinking | 19.2% | Data is updating% |
| Obesity | 39.9% | Data is updating% |
| Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Long prairie vs Otto
- More residents in Long prairie report poor mental health at 15.7% compared to 0.0% in Otto.
- Depression is more prevalent in Long prairie at 23.0% compared to 0.0% in Otto.
- Smoking is more prevalent in Long prairie at 20.2% compared to 0.0% in Otto.
- Binge drinking is more common in Long prairie at 19.2% compared to 0.0% in Otto.
- Obesity rates are higher in Long prairie at 39.9% compared to 0.0% in Otto.
- Disability percentages are higher in Long prairie at 13.0% compared to 0.0% in Otto.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Long prairie | Otto |
|---|---|---|
| No Schooling | 1.2% (45) | 0.0% (Data is updating) |
| High School Diploma | 26.9% (996) | 0.0% (Data is updating) |
| Less than High School | 30.8% (1,140) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 7.1% (264) | 0.0% (Data is updating) |
Education Levels Comparison: Long prairie vs Otto
- A higher percentage of residents in Long prairie have no formal schooling at 1.2% compared to 0.0% in Otto.
- A higher percentage of residents in Long prairie hold a high school diploma at 26.9% compared to 0.0% in Otto.
- More residents in Long prairie have less than a high school education at 30.8% compared to 0.0% in Otto.
- A higher percentage of residents in Long prairie hold a bachelor's degree or higher at 7.1% compared to 0.0% in Otto.
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.