Demographics details for Woodruff, SC vs Selma, CA
Population Overview
Compare main population characteristics in Woodruff, SC vs Selma, CA.
| Data | Woodruff | Selma |
|---|---|---|
| Population | 4,431 | 24,430 |
| Median Age | 37.3 years | 31.3 years |
| Median Income | $68,451 | $53,874 |
| Married Families | 22.0% | 30.0% |
| Poverty Level | 10% | 20% |
| Unemployment Rate | 4.5 | 6.5 |
Population Comparison: Woodruff vs Selma
- The population in Selma is higher at 24,430, compared to 4,431 in Woodruff.
- Residents in Woodruff have a higher median age of 37.3 years compared to 31.3 years in Selma.
- Woodruff has a higher median income of $68,451 compared to $53,874 in Selma.
- In Selma, the percentage of married families is higher at 30.0%, compared to 22.0% in Woodruff.
- The poverty level is higher in Selma at 20%, compared to 10% in Woodruff.
- Selma has a higher unemployment rate at 6.5% compared to 4.5% in Woodruff.
Demographics
Demographics Woodruff vs Selma provide insight into the diversity of the communities to compare.
| Demographic | Woodruff | Selma |
|---|---|---|
| Black | 24 | 1 |
| White | 70 | -2 |
| Asian | Data is updating | 3 |
| Hispanic | 4 | 84 |
| Two or More Races | 2 | 13 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Woodruff vs Selma
- A higher percentage of Black residents are in Woodruff at 24% compared to 1% in Selma.
- Woodruff has a higher percentage of White residents at 70% compared to -2% in Selma.
- In Selma, the Asian population stands at 3%, greater than 0% in Woodruff.
- Selma has a higher percentage of Hispanic residents at 84%, compared to 4% in Woodruff.
- The percentage of residents identifying as two or more races is higher in Selma at 13%, compared to 2% in Woodruff.
- In Selma, the percentage of American Indian residents is higher at 1%, compared to 0% in Woodruff.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodruff | Selma |
|---|---|---|
| Mental Health Not Good | 19.0% | 18.0% |
| Physical Health Not Good | 13.1% | 15.1% |
| Depression | 24.8% | 17.4% |
| Smoking | 20.3% | 15.7% |
| Binge Drinking | 15.3% | 13.6% |
| Obesity | 36.4% | 40.5% |
| Disability Percentage | 17.0% | 12.0% |
Health Statistics Comparison: Woodruff vs Selma
- More residents in Woodruff report poor mental health at 19.0% compared to 18.0% in Selma.
- Depression is more prevalent in Woodruff at 24.8% compared to 17.4% in Selma.
- Smoking is more prevalent in Woodruff at 20.3% compared to 15.7% in Selma.
- Binge drinking is more common in Woodruff at 15.3% compared to 13.6% in Selma.
- Selma has higher obesity rates at 40.5% compared to 36.4% in Woodruff.
- Disability percentages are higher in Woodruff at 17.0% compared to 12.0% in Selma.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodruff | Selma |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.8% (938) |
| High School Diploma | 20.5% (907) | 14.6% (3,577) |
| Less than High School | 20.9% (926) | 33.9% (8,285) |
| Bachelor's Degree and Higher | 13.3% (589) | 7.0% (1,712) |
Education Levels Comparison: Woodruff vs Selma
- In Selma, a larger percentage of residents lack formal schooling at 3.8% compared to 0.0% in Woodruff.
- A higher percentage of residents in Woodruff hold a high school diploma at 20.5% compared to 14.6% in Selma.
- The percentage of residents with less than a high school education is higher in Selma at 33.9%, compared to 20.9% in Woodruff.
- A higher percentage of residents in Woodruff hold a bachelor's degree or higher at 13.3% compared to 7.0% in Selma.
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.