Demographics details for Long prairie, MN vs Columbiana, OH
Population Overview
Compare main population characteristics in Long prairie, MN vs Columbiana, OH.
Data | Long prairie | Columbiana |
---|---|---|
Population | 3,704 | 100,511 |
Median Age | 39.9 years | 44.5 years |
Median Income | $60,313 | $55,473 |
Married Families | 40.0% | 40.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.5 | 5.8 |
Population Comparison: Long prairie vs Columbiana
- The population in Columbiana is higher at 100,511, compared to 3,704 in Long prairie.
- The median age in Columbiana is higher at 44.5 years, compared to 39.9 years in Long prairie.
- Long prairie has a higher median income of $60,313 compared to $55,473 in Columbiana.
- The percentage of married families is the same in both Long prairie and Columbiana at 40.0%.
- The poverty level is identical in both Long prairie and Columbiana at 10%.
- Columbiana has a higher unemployment rate at 5.8% compared to 3.5% in Long prairie.
Demographics
Demographics Long prairie vs Columbiana provide insight into the diversity of the communities to compare.
Demographic | Long prairie | Columbiana |
---|---|---|
Black | 1 | 2 |
White | 45 | 93 |
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 Columbiana
- In Columbiana, the percentage of Black residents is higher at 2% compared to 1% in Long prairie.
- The percentage of White residents is higher in Columbiana at 93% compared to 45% in Long prairie.
- The Asian population is larger in Long prairie at 2% compared to 0% in Columbiana.
- The Hispanic community is larger in Long prairie at 34% compared to 2% in Columbiana.
- More residents identify as two or more races in Long prairie at 18% compared to 3% in Columbiana.
- The percentage of American Indian residents is the same in both Long prairie and Columbiana at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Long prairie | Columbiana |
---|---|---|
Mental Health Not Good | 15.7% | 18.4% |
Physical Health Not Good | 11.0% | 12.5% |
Depression | 23.0% | 23.8% |
Smoking | 20.2% | 22.5% |
Binge Drinking | 19.2% | 17.6% |
Obesity | 39.9% | 45.3% |
Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Long prairie vs Columbiana
- In Columbiana, a higher percentage report poor mental health at 18.4% compared to 15.7% in Long prairie.
- Higher depression rates are seen in Columbiana at 23.8% versus 23.0% in Long prairie.
- Columbiana has a higher smoking rate at 22.5% compared to 20.2% in Long prairie.
- Binge drinking is more common in Long prairie at 19.2% compared to 17.6% in Columbiana.
- Columbiana has higher obesity rates at 45.3% compared to 39.9% in Long prairie.
- There is a higher percentage of disabled individuals in Columbiana at 17.0% 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 | Columbiana |
---|---|---|
No Schooling | 1.2% (45) | 1.0% (1,010) |
High School Diploma | 26.9% (996) | 29.8% (29,903) |
Less than High School | 30.8% (1,140) | 14.3% (14,400) |
Bachelor's Degree and Higher | 7.1% (264) | 12.1% (12,129) |
Education Levels Comparison: Long prairie vs Columbiana
- A higher percentage of residents in Long prairie have no formal schooling at 1.2% compared to 1.0% in Columbiana.
- In Columbiana, the rate of residents with high school diplomas is higher at 29.8% compared to 26.9% in Long prairie.
- More residents in Long prairie have less than a high school education at 30.8% compared to 14.3% in Columbiana.
- In Columbiana, a larger share of residents have a bachelor's degree or higher at 12.1% 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.