Demographics details for Twinsburg, OH vs Fort mill, SC
Population Overview
Compare main population characteristics in Twinsburg, OH vs Fort mill, SC.
Data | Twinsburg | Fort mill |
---|---|---|
Population | 19,416 | 30,940 |
Median Age | 43.6 years | 36.7 years |
Median Income | $91,554 | $128,125 |
Married Families | 43.0% | 37.0% |
Poverty Level | 5% | 5% |
Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Twinsburg vs Fort mill
- The population in Fort mill is higher at 30,940, compared to 19,416 in Twinsburg.
- Residents in Twinsburg have a higher median age of 43.6 years compared to 36.7 years in Fort mill.
- Fort mill has a higher median income of $128,125, compared to $91,554 in Twinsburg.
- A higher percentage of married families is found in Twinsburg at 43.0% compared to 37.0% in Fort mill.
- The poverty level is identical in both Twinsburg and Fort mill at 5%.
- The unemployment rate in Twinsburg is higher at 4.2%, compared to 4.1% in Fort mill.
Demographics
Demographics Twinsburg vs Fort mill provide insight into the diversity of the communities to compare.
Demographic | Twinsburg | Fort mill |
---|---|---|
Black | 17 | 9 |
White | 69 | 79 |
Asian | 7 | 3 |
Hispanic | 3 | 5 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Twinsburg vs Fort mill
- A higher percentage of Black residents are in Twinsburg at 17% compared to 9% in Fort mill.
- The percentage of White residents is higher in Fort mill at 79% compared to 69% in Twinsburg.
- The Asian population is larger in Twinsburg at 7% compared to 3% in Fort mill.
- Fort mill has a higher percentage of Hispanic residents at 5%, compared to 3% in Twinsburg.
- Both Twinsburg and Fort mill have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Twinsburg and Fort mill at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Twinsburg | Fort mill |
---|---|---|
Mental Health Not Good | 15.1% | 15.4% |
Physical Health Not Good | 9.3% | 9.4% |
Depression | 22.4% | 21.1% |
Smoking | 14.7% | 12.3% |
Binge Drinking | 18.4% | 18.3% |
Obesity | 38.9% | 31.6% |
Disability Percentage | 9.0% | 5.0% |
Health Statistics Comparison: Twinsburg vs Fort mill
- In Fort mill, a higher percentage report poor mental health at 15.4% compared to 15.1% in Twinsburg.
- Depression is more prevalent in Twinsburg at 22.4% compared to 21.1% in Fort mill.
- Smoking is more prevalent in Twinsburg at 14.7% compared to 12.3% in Fort mill.
- Binge drinking is more common in Twinsburg at 18.4% compared to 18.3% in Fort mill.
- Obesity rates are higher in Twinsburg at 38.9% compared to 31.6% in Fort mill.
- Disability percentages are higher in Twinsburg at 9.0% 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 | Twinsburg | Fort mill |
---|---|---|
No Schooling | 0.7% (135) | 0.3% (78) |
High School Diploma | 16.3% (3,173) | 7.7% (2,372) |
Less than High School | 4.8% (931) | 2.8% (879) |
Bachelor's Degree and Higher | 31.2% (6,065) | 30.0% (9,271) |
Education Levels Comparison: Twinsburg vs Fort mill
- A higher percentage of residents in Twinsburg have no formal schooling at 0.7% compared to 0.3% in Fort mill.
- A higher percentage of residents in Twinsburg hold a high school diploma at 16.3% compared to 7.7% in Fort mill.
- More residents in Twinsburg have less than a high school education at 4.8% compared to 2.8% in Fort mill.
- A higher percentage of residents in Twinsburg hold a bachelor's degree or higher at 31.2% compared to 30.0% in Fort mill.
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.