Demographics details for Woodruff, SC vs Central city, KY
Population Overview
Compare main population characteristics in Woodruff, SC vs Central city, KY.
Data | Woodruff | Central city |
---|---|---|
Population | 4,431 | 5,810 |
Median Age | 37.3 years | 33.5 years |
Median Income | $68,451 | $52,184 |
Married Families | 22.0% | 38.0% |
Poverty Level | 10% | 16% |
Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Woodruff vs Central city
- The population in Central city is higher at 5,810, compared to 4,431 in Woodruff.
- Residents in Woodruff have a higher median age of 37.3 years compared to 33.5 years in Central city.
- Woodruff has a higher median income of $68,451 compared to $52,184 in Central city.
- In Central city, the percentage of married families is higher at 38.0%, compared to 22.0% in Woodruff.
- The poverty level is higher in Central city at 16%, compared to 10% in Woodruff.
- The unemployment rate in Woodruff is higher at 4.5%, compared to 3.5% in Central city.
Demographics
Demographics Woodruff vs Central city provide insight into the diversity of the communities to compare.
Demographic | Woodruff | Central city |
---|---|---|
Black | 24 | 3 |
White | 70 | 88 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 2 |
Two or More Races | 2 | 6 |
American Indian | Data is updating | 1 |
Demographics Comparison: Woodruff vs Central city
- A higher percentage of Black residents are in Woodruff at 24% compared to 3% in Central city.
- The percentage of White residents is higher in Central city at 88% compared to 70% in Woodruff.
- Both Woodruff and Central city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Woodruff at 4% compared to 2% in Central city.
- The percentage of residents identifying as two or more races is higher in Central city at 6%, compared to 2% in Woodruff.
- In Central city, 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 | Central city |
---|---|---|
Mental Health Not Good | 19.0% | 19.3% |
Physical Health Not Good | 13.1% | 15.5% |
Depression | 24.8% | 26.8% |
Smoking | 20.3% | 24.8% |
Binge Drinking | 15.3% | 14.8% |
Obesity | 36.4% | 41.9% |
Disability Percentage | 17.0% | 15.0% |
Health Statistics Comparison: Woodruff vs Central city
- In Central city, a higher percentage report poor mental health at 19.3% compared to 19.0% in Woodruff.
- Higher depression rates are seen in Central city at 26.8% versus 24.8% in Woodruff.
- Central city has a higher smoking rate at 24.8% compared to 20.3% in Woodruff.
- Binge drinking is more common in Woodruff at 15.3% compared to 14.8% in Central city.
- Central city has higher obesity rates at 41.9% compared to 36.4% in Woodruff.
- Disability percentages are higher in Woodruff at 17.0% compared to 15.0% in Central city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Woodruff | Central city |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.1% (65) |
High School Diploma | 20.5% (907) | 15.4% (897) |
Less than High School | 20.9% (926) | 15.6% (905) |
Bachelor's Degree and Higher | 13.3% (589) | 8.3% (480) |
Education Levels Comparison: Woodruff vs Central city
- In Central city, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Woodruff.
- A higher percentage of residents in Woodruff hold a high school diploma at 20.5% compared to 15.4% in Central city.
- More residents in Woodruff have less than a high school education at 20.9% compared to 15.6% in Central city.
- A higher percentage of residents in Woodruff hold a bachelor's degree or higher at 13.3% compared to 8.3% in Central city.
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.