Demographics details for Mankato, MN vs Cleveland, OH
Population Overview
Compare main population characteristics in Mankato, MN vs Cleveland, OH.
| Data | Mankato | Cleveland |
|---|---|---|
| Population | 45,140 | 361,607 |
| Median Age | 26.5 years | 36.3 years |
| Median Income | $61,726 | $37,271 |
| Married Families | 28.0% | 20.0% |
| Poverty Level | 10% | 23% |
| Unemployment Rate | 3.4 | 5.7 |
Population Comparison: Mankato vs Cleveland
- The population in Cleveland is higher at 361,607, compared to 45,140 in Mankato.
- The median age in Cleveland is higher at 36.3 years, compared to 26.5 years in Mankato.
- Mankato has a higher median income of $61,726 compared to $37,271 in Cleveland.
- A higher percentage of married families is found in Mankato at 28.0% compared to 20.0% in Cleveland.
- The poverty level is higher in Cleveland at 23%, compared to 10% in Mankato.
- Cleveland has a higher unemployment rate at 5.7% compared to 3.4% in Mankato.
Demographics
Demographics Mankato vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | Mankato | Cleveland |
|---|---|---|
| Black | 7 | 48 |
| White | 81 | 28 |
| Asian | 4 | 3 |
| Hispanic | 5 | 13 |
| Two or More Races | 3 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mankato vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 48% compared to 7% in Mankato.
- Mankato has a higher percentage of White residents at 81% compared to 28% in Cleveland.
- The Asian population is larger in Mankato at 4% compared to 3% in Cleveland.
- Cleveland has a higher percentage of Hispanic residents at 13%, compared to 5% in Mankato.
- The percentage of residents identifying as two or more races is higher in Cleveland at 8%, compared to 3% in Mankato.
- The percentage of American Indian residents is the same in both Mankato and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mankato | Cleveland |
|---|---|---|
| Mental Health Not Good | 16.0% | 20.2% |
| Physical Health Not Good | 10.1% | 16.6% |
| Depression | 25.0% | 24.0% |
| Smoking | 18.4% | 27.1% |
| Binge Drinking | 19.9% | 14.8% |
| Obesity | 37.2% | 42.1% |
| Disability Percentage | 10.0% | 20.0% |
Health Statistics Comparison: Mankato vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 20.2% compared to 16.0% in Mankato.
- Depression is more prevalent in Mankato at 25.0% compared to 24.0% in Cleveland.
- Cleveland has a higher smoking rate at 27.1% compared to 18.4% in Mankato.
- Binge drinking is more common in Mankato at 19.9% compared to 14.8% in Cleveland.
- Cleveland has higher obesity rates at 42.1% compared to 37.2% in Mankato.
- There is a higher percentage of disabled individuals in Cleveland at 20.0% compared to 10.0% in Mankato.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mankato | Cleveland |
|---|---|---|
| No Schooling | 0.8% (349) | 1.6% (5,667) |
| High School Diploma | 9.3% (4,187) | 19.0% (68,853) |
| Less than High School | 5.7% (2,556) | 17.5% (63,329) |
| Bachelor's Degree and Higher | 19.6% (8,847) | 14.3% (51,656) |
Education Levels Comparison: Mankato vs Cleveland
- In Cleveland, a larger percentage of residents lack formal schooling at 1.6% compared to 0.8% in Mankato.
- In Cleveland, the rate of residents with high school diplomas is higher at 19.0% compared to 9.3% in Mankato.
- The percentage of residents with less than a high school education is higher in Cleveland at 17.5%, compared to 5.7% in Mankato.
- A higher percentage of residents in Mankato hold a bachelor's degree or higher at 19.6% compared to 14.3% in Cleveland.
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.