Demographics details for South charleston, OH vs Wilson, NC
Population Overview
Compare main population characteristics in South charleston, OH vs Wilson, NC.
Data | South charleston | Wilson |
---|---|---|
Population | 1,696 | 47,606 |
Median Age | 42.3 years | 38.8 years |
Median Income | $47,137 | $46,891 |
Married Families | 34.0% | 32.0% |
Poverty Level | 7% | 17% |
Unemployment Rate | 5.2 | 7.1 |
Population Comparison: South charleston vs Wilson
- The population in Wilson is higher at 47,606, compared to 1,696 in South charleston.
- Residents in South charleston have a higher median age of 42.3 years compared to 38.8 years in Wilson.
- South charleston has a higher median income of $47,137 compared to $46,891 in Wilson.
- A higher percentage of married families is found in South charleston at 34.0% compared to 32.0% in Wilson.
- The poverty level is higher in Wilson at 17%, compared to 7% in South charleston.
- Wilson has a higher unemployment rate at 7.1% compared to 5.2% in South charleston.
Demographics
Demographics South charleston vs Wilson provide insight into the diversity of the communities to compare.
Demographic | South charleston | Wilson |
---|---|---|
Black | 4 | 50 |
White | 88 | 33 |
Asian | 1 | 1 |
Hispanic | 3 | 12 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: South charleston vs Wilson
- In Wilson, the percentage of Black residents is higher at 50% compared to 4% in South charleston.
- South charleston has a higher percentage of White residents at 88% compared to 33% in Wilson.
- Both South charleston and Wilson have the same percentage of Asian residents at 1%.
- Wilson has a higher percentage of Hispanic residents at 12%, compared to 3% in South charleston.
- Both South charleston and Wilson 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 South charleston and Wilson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | South charleston | Wilson |
---|---|---|
Mental Health Not Good | 18.8% | 18.0% |
Physical Health Not Good | 12.6% | 13.9% |
Depression | 25.3% | 22.2% |
Smoking | 22.2% | 21.4% |
Binge Drinking | 17.8% | 14.8% |
Obesity | 42.6% | 39.4% |
Disability Percentage | 23.0% | 14.0% |
Health Statistics Comparison: South charleston vs Wilson
- More residents in South charleston report poor mental health at 18.8% compared to 18.0% in Wilson.
- Depression is more prevalent in South charleston at 25.3% compared to 22.2% in Wilson.
- Smoking is more prevalent in South charleston at 22.2% compared to 21.4% in Wilson.
- Binge drinking is more common in South charleston at 17.8% compared to 14.8% in Wilson.
- Obesity rates are higher in South charleston at 42.6% compared to 39.4% in Wilson.
- Disability percentages are higher in South charleston at 23.0% compared to 14.0% in Wilson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | South charleston | Wilson |
---|---|---|
No Schooling | 0.3% (5) | 1.3% (630) |
High School Diploma | 26.6% (451) | 19.5% (9,264) |
Less than High School | 21.6% (367) | 15.2% (7,224) |
Bachelor's Degree and Higher | 8.5% (145) | 15.0% (7,125) |
Education Levels Comparison: South charleston vs Wilson
- In Wilson, a larger percentage of residents lack formal schooling at 1.3% compared to 0.3% in South charleston.
- A higher percentage of residents in South charleston hold a high school diploma at 26.6% compared to 19.5% in Wilson.
- More residents in South charleston have less than a high school education at 21.6% compared to 15.2% in Wilson.
- In Wilson, a larger share of residents have a bachelor's degree or higher at 15.0% compared to 8.5% in South charleston.
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.