Demographics details for Kenansville, NC vs Sumter, SC
Population Overview
Compare main population characteristics in Kenansville, NC vs Sumter, SC.
Data | Kenansville | Sumter |
---|---|---|
Population | 759 | 42,757 |
Median Age | 48.4 years | 33.1 years |
Median Income | $53,750 | $48,900 |
Married Families | 45.0% | 34.0% |
Poverty Level | 15% | 15% |
Unemployment Rate | 4.2 | 6.0 |
Population Comparison: Kenansville vs Sumter
- The population in Sumter is higher at 42,757, compared to 759 in Kenansville.
- Residents in Kenansville have a higher median age of 48.4 years compared to 33.1 years in Sumter.
- Kenansville has a higher median income of $53,750 compared to $48,900 in Sumter.
- A higher percentage of married families is found in Kenansville at 45.0% compared to 34.0% in Sumter.
- The poverty level is identical in both Kenansville and Sumter at 15%.
- Sumter has a higher unemployment rate at 6.0% compared to 4.2% in Kenansville.
Demographics
Demographics Kenansville vs Sumter provide insight into the diversity of the communities to compare.
Demographic | Kenansville | Sumter |
---|---|---|
Black | 20 | 48 |
White | 61 | 36 |
Asian | 7 | 2 |
Hispanic | 6 | 7 |
Two or More Races | 6 | 6 |
American Indian | Data is updating | 1 |
Demographics Comparison: Kenansville vs Sumter
- In Sumter, the percentage of Black residents is higher at 48% compared to 20% in Kenansville.
- Kenansville has a higher percentage of White residents at 61% compared to 36% in Sumter.
- The Asian population is larger in Kenansville at 7% compared to 2% in Sumter.
- Sumter has a higher percentage of Hispanic residents at 7%, compared to 6% in Kenansville.
- Both Kenansville and Sumter have the same percentage of residents identifying as two or more races at 6%.
- In Sumter, the percentage of American Indian residents is higher at 1%, compared to 0% in Kenansville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kenansville | Sumter |
---|---|---|
Mental Health Not Good | 18.4% | 18.7% |
Physical Health Not Good | 13.4% | 13.7% |
Depression | 24.3% | 20.9% |
Smoking | 21.6% | 21.7% |
Binge Drinking | 15.6% | 15.2% |
Obesity | 44.0% | 42.5% |
Disability Percentage | 26.0% | 15.0% |
Health Statistics Comparison: Kenansville vs Sumter
- In Sumter, a higher percentage report poor mental health at 18.7% compared to 18.4% in Kenansville.
- Depression is more prevalent in Kenansville at 24.3% compared to 20.9% in Sumter.
- Sumter has a higher smoking rate at 21.7% compared to 21.6% in Kenansville.
- Binge drinking is more common in Kenansville at 15.6% compared to 15.2% in Sumter.
- Obesity rates are higher in Kenansville at 44.0% compared to 42.5% in Sumter.
- Disability percentages are higher in Kenansville at 26.0% compared to 15.0% in Sumter.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kenansville | Sumter |
---|---|---|
No Schooling | 1.6% (12) | 0.6% (246) |
High School Diploma | 24.0% (182) | 15.8% (6,741) |
Less than High School | 13.8% (105) | 9.2% (3,936) |
Bachelor's Degree and Higher | 22.5% (171) | 17.5% (7,485) |
Education Levels Comparison: Kenansville vs Sumter
- A higher percentage of residents in Kenansville have no formal schooling at 1.6% compared to 0.6% in Sumter.
- A higher percentage of residents in Kenansville hold a high school diploma at 24.0% compared to 15.8% in Sumter.
- More residents in Kenansville have less than a high school education at 13.8% compared to 9.2% in Sumter.
- A higher percentage of residents in Kenansville hold a bachelor's degree or higher at 22.5% compared to 17.5% in Sumter.
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.