Demographics details for Seneca, SC vs Wilmington, NC
Population Overview
Compare main population characteristics in Seneca, SC vs Wilmington, NC.
Data | Seneca | Wilmington |
---|---|---|
Population | 8,979 | 120,324 |
Median Age | 44.0 years | 37.6 years |
Median Income | $48,108 | $58,908 |
Married Families | 33.0% | 32.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 3.6 | 3.7 |
Population Comparison: Seneca vs Wilmington
- The population in Wilmington is higher at 120,324, compared to 8,979 in Seneca.
- Residents in Seneca have a higher median age of 44.0 years compared to 37.6 years in Wilmington.
- Wilmington has a higher median income of $58,908, compared to $48,108 in Seneca.
- A higher percentage of married families is found in Seneca at 33.0% compared to 32.0% in Wilmington.
- The poverty level is identical in both Seneca and Wilmington at 12%.
- Wilmington has a higher unemployment rate at 3.7% compared to 3.6% in Seneca.
Demographics
Demographics Seneca vs Wilmington provide insight into the diversity of the communities to compare.
Demographic | Seneca | Wilmington |
---|---|---|
Black | 18 | 16 |
White | 66 | 71 |
Asian | 1 | 1 |
Hispanic | 8 | 7 |
Two or More Races | 7 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Seneca vs Wilmington
- A higher percentage of Black residents are in Seneca at 18% compared to 16% in Wilmington.
- The percentage of White residents is higher in Wilmington at 71% compared to 66% in Seneca.
- Both Seneca and Wilmington have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Seneca at 8% compared to 7% in Wilmington.
- More residents identify as two or more races in Seneca at 7% compared to 5% in Wilmington.
- The percentage of American Indian residents is the same in both Seneca and Wilmington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Seneca | Wilmington |
---|---|---|
Mental Health Not Good | 18.3% | 16.9% |
Physical Health Not Good | 12.6% | 11.0% |
Depression | 22.1% | 25.0% |
Smoking | 19.8% | 16.5% |
Binge Drinking | 16.7% | 18.5% |
Obesity | 37.7% | 33.2% |
Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Seneca vs Wilmington
- More residents in Seneca report poor mental health at 18.3% compared to 16.9% in Wilmington.
- Higher depression rates are seen in Wilmington at 25.0% versus 22.1% in Seneca.
- Smoking is more prevalent in Seneca at 19.8% compared to 16.5% in Wilmington.
- More residents engage in binge drinking in Wilmington at 18.5% compared to 16.7% in Seneca.
- Obesity rates are higher in Seneca at 37.7% compared to 33.2% in Wilmington.
- Disability percentages are higher in Seneca at 20.0% compared to 12.0% in Wilmington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Seneca | Wilmington |
---|---|---|
No Schooling | 0.7% (62) | 0.5% (560) |
High School Diploma | 17.4% (1,563) | 10.5% (12,679) |
Less than High School | 19.0% (1,704) | 7.1% (8,513) |
Bachelor's Degree and Higher | 19.1% (1,718) | 28.5% (34,319) |
Education Levels Comparison: Seneca vs Wilmington
- A higher percentage of residents in Seneca have no formal schooling at 0.7% compared to 0.5% in Wilmington.
- A higher percentage of residents in Seneca hold a high school diploma at 17.4% compared to 10.5% in Wilmington.
- More residents in Seneca have less than a high school education at 19.0% compared to 7.1% in Wilmington.
- In Wilmington, a larger share of residents have a bachelor's degree or higher at 28.5% compared to 19.1% in Seneca.
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.