Demographics details for Fort mill, SC vs Mankato, MN
Population Overview
Compare main population characteristics in Fort mill, SC vs Mankato, MN.
Data | Fort mill | Mankato |
---|---|---|
Population | 30,940 | 45,140 |
Median Age | 36.7 years | 26.5 years |
Median Income | $128,125 | $61,726 |
Married Families | 37.0% | 28.0% |
Poverty Level | 5% | 10% |
Unemployment Rate | 4.1 | 3.4 |
Population Comparison: Fort mill vs Mankato
- The population in Mankato is higher at 45,140, compared to 30,940 in Fort mill.
- Residents in Fort mill have a higher median age of 36.7 years compared to 26.5 years in Mankato.
- Fort mill has a higher median income of $128,125 compared to $61,726 in Mankato.
- A higher percentage of married families is found in Fort mill at 37.0% compared to 28.0% in Mankato.
- The poverty level is higher in Mankato at 10%, compared to 5% in Fort mill.
- The unemployment rate in Fort mill is higher at 4.1%, compared to 3.4% in Mankato.
Demographics
Demographics Fort mill vs Mankato provide insight into the diversity of the communities to compare.
Demographic | Fort mill | Mankato |
---|---|---|
Black | 9 | 7 |
White | 79 | 81 |
Asian | 3 | 4 |
Hispanic | 5 | 5 |
Two or More Races | 4 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Fort mill vs Mankato
- A higher percentage of Black residents are in Fort mill at 9% compared to 7% in Mankato.
- The percentage of White residents is higher in Mankato at 81% compared to 79% in Fort mill.
- In Mankato, the Asian population stands at 4%, greater than 3% in Fort mill.
- The percentage of Hispanic residents is the same in both Fort mill and Mankato at 5%.
- More residents identify as two or more races in Fort mill at 4% compared to 3% in Mankato.
- The percentage of American Indian residents is the same in both Fort mill and Mankato at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Fort mill | Mankato |
---|---|---|
Mental Health Not Good | 15.4% | 16.0% |
Physical Health Not Good | 9.4% | 10.1% |
Depression | 21.1% | 25.0% |
Smoking | 12.3% | 18.4% |
Binge Drinking | 18.3% | 19.9% |
Obesity | 31.6% | 37.2% |
Disability Percentage | 5.0% | 10.0% |
Health Statistics Comparison: Fort mill vs Mankato
- In Mankato, a higher percentage report poor mental health at 16.0% compared to 15.4% in Fort mill.
- Higher depression rates are seen in Mankato at 25.0% versus 21.1% in Fort mill.
- Mankato has a higher smoking rate at 18.4% compared to 12.3% in Fort mill.
- More residents engage in binge drinking in Mankato at 19.9% compared to 18.3% in Fort mill.
- Mankato has higher obesity rates at 37.2% compared to 31.6% in Fort mill.
- There is a higher percentage of disabled individuals in Mankato at 10.0% compared to 5.0% in Fort mill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Fort mill | Mankato |
---|---|---|
No Schooling | 0.3% (78) | 0.8% (349) |
High School Diploma | 7.7% (2,372) | 9.3% (4,187) |
Less than High School | 2.8% (879) | 5.7% (2,556) |
Bachelor's Degree and Higher | 30.0% (9,271) | 19.6% (8,847) |
Education Levels Comparison: Fort mill vs Mankato
- In Mankato, a larger percentage of residents lack formal schooling at 0.8% compared to 0.3% in Fort mill.
- In Mankato, the rate of residents with high school diplomas is higher at 9.3% compared to 7.7% in Fort mill.
- The percentage of residents with less than a high school education is higher in Mankato at 5.7%, compared to 2.8% in Fort mill.
- A higher percentage of residents in Fort mill hold a bachelor's degree or higher at 30.0% compared to 19.6% in Mankato.
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.