Demographics details for Aiken, SC vs Stephenville, TX
Population Overview
Compare main population characteristics in Aiken, SC vs Stephenville, TX.
Data | Aiken | Stephenville |
---|---|---|
Population | 32,463 | 21,641 |
Median Age | 46.4 years | 25.5 years |
Median Income | $65,712 | $48,088 |
Married Families | 38.0% | 29.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 5.2 | 4.2 |
Population Comparison: Aiken vs Stephenville
- In Aiken, the population is higher at 32,463, compared to 21,641 in Stephenville.
- Residents in Aiken have a higher median age of 46.4 years compared to 25.5 years in Stephenville.
- Aiken has a higher median income of $65,712 compared to $48,088 in Stephenville.
- A higher percentage of married families is found in Aiken at 38.0% compared to 29.0% in Stephenville.
- The poverty level is identical in both Aiken and Stephenville at 12%.
- The unemployment rate in Aiken is higher at 5.2%, compared to 4.2% in Stephenville.
Demographics
Demographics Aiken vs Stephenville provide insight into the diversity of the communities to compare.
Demographic | Aiken | Stephenville |
---|---|---|
Black | 36 | 3 |
White | 56 | 67 |
Asian | 2 | 2 |
Hispanic | 3 | 20 |
Two or More Races | 3 | 7 |
American Indian | Data is updating | 1 |
Demographics Comparison: Aiken vs Stephenville
- A higher percentage of Black residents are in Aiken at 36% compared to 3% in Stephenville.
- The percentage of White residents is higher in Stephenville at 67% compared to 56% in Aiken.
- Both Aiken and Stephenville have the same percentage of Asian residents at 2%.
- Stephenville has a higher percentage of Hispanic residents at 20%, compared to 3% in Aiken.
- The percentage of residents identifying as two or more races is higher in Stephenville at 7%, compared to 3% in Aiken.
- In Stephenville, the percentage of American Indian residents is higher at 1%, compared to 0% in Aiken.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Aiken | Stephenville |
---|---|---|
Mental Health Not Good | 16.6% | 18.5% |
Physical Health Not Good | 11.0% | 12.3% |
Depression | 20.3% | 25.5% |
Smoking | 15.5% | 18.2% |
Binge Drinking | 16.5% | 18.3% |
Obesity | 35.7% | 37.4% |
Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Aiken vs Stephenville
- In Stephenville, a higher percentage report poor mental health at 18.5% compared to 16.6% in Aiken.
- Higher depression rates are seen in Stephenville at 25.5% versus 20.3% in Aiken.
- Stephenville has a higher smoking rate at 18.2% compared to 15.5% in Aiken.
- More residents engage in binge drinking in Stephenville at 18.3% compared to 16.5% in Aiken.
- Stephenville has higher obesity rates at 37.4% compared to 35.7% in Aiken.
- Disability percentages are higher in Aiken at 12.0% compared to 11.0% in Stephenville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Aiken | Stephenville |
---|---|---|
No Schooling | 0.5% (150) | 0.5% (115) |
High School Diploma | 14.3% (4,646) | 8.4% (1,827) |
Less than High School | 7.3% (2,369) | 10.5% (2,269) |
Bachelor's Degree and Higher | 30.6% (9,923) | 16.1% (3,487) |
Education Levels Comparison: Aiken vs Stephenville
- The percentage of residents with no formal schooling is the same in both Aiken and Stephenville at 0.5%.
- A higher percentage of residents in Aiken hold a high school diploma at 14.3% compared to 8.4% in Stephenville.
- The percentage of residents with less than a high school education is higher in Stephenville at 10.5%, compared to 7.3% in Aiken.
- A higher percentage of residents in Aiken hold a bachelor's degree or higher at 30.6% compared to 16.1% in Stephenville.
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.