Demographics details for Corona, CA vs Woodruff, SC
Population Overview
Compare main population characteristics in Corona, CA vs Woodruff, SC.
| Data | Corona | Woodruff |
|---|---|---|
| Population | 159,567 | 4,431 |
| Median Age | 35.9 years | 37.3 years |
| Median Income | $103,727 | $68,451 |
| Married Families | 40.0% | 22.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Corona vs Woodruff
- In Corona, the population is higher at 159,567, compared to 4,431 in Woodruff.
- The median age in Woodruff is higher at 37.3 years, compared to 35.9 years in Corona.
- Corona has a higher median income of $103,727 compared to $68,451 in Woodruff.
- A higher percentage of married families is found in Corona at 40.0% compared to 22.0% in Woodruff.
- Corona has a higher poverty level at 11% compared to 10% in Woodruff.
- Woodruff has a higher unemployment rate at 4.5% compared to 4.1% in Corona.
Demographics
Demographics Corona vs Woodruff provide insight into the diversity of the communities to compare.
| Demographic | Corona | Woodruff |
|---|---|---|
| Black | 6 | 24 |
| White | 21 | 70 |
| Asian | 11 | Data is updating |
| Hispanic | 48 | 4 |
| Two or More Races | 13 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Corona vs Woodruff
- In Woodruff, the percentage of Black residents is higher at 24% compared to 6% in Corona.
- The percentage of White residents is higher in Woodruff at 70% compared to 21% in Corona.
- The Asian population is larger in Corona at 11% compared to 0% in Woodruff.
- The Hispanic community is larger in Corona at 48% compared to 4% in Woodruff.
- More residents identify as two or more races in Corona at 13% compared to 2% in Woodruff.
- A greater percentage of American Indian residents live in Corona at 1% compared to 0% in Woodruff.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Corona | Woodruff |
|---|---|---|
| Mental Health Not Good | 15.1% | 19.0% |
| Physical Health Not Good | 10.6% | 13.1% |
| Depression | 16.6% | 24.8% |
| Smoking | 11.8% | 20.3% |
| Binge Drinking | 16.7% | 15.3% |
| Obesity | 34.1% | 36.4% |
| Disability Percentage | 7.0% | 17.0% |
Health Statistics Comparison: Corona vs Woodruff
- In Woodruff, a higher percentage report poor mental health at 19.0% compared to 15.1% in Corona.
- Higher depression rates are seen in Woodruff at 24.8% versus 16.6% in Corona.
- Woodruff has a higher smoking rate at 20.3% compared to 11.8% in Corona.
- Binge drinking is more common in Corona at 16.7% compared to 15.3% in Woodruff.
- Woodruff has higher obesity rates at 36.4% compared to 34.1% in Corona.
- There is a higher percentage of disabled individuals in Woodruff at 17.0% compared to 7.0% in Corona.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Corona | Woodruff |
|---|---|---|
| No Schooling | 1.9% (3,102) | 0.0% (Data is updating) |
| High School Diploma | 14.3% (22,788) | 20.5% (907) |
| Less than High School | 17.4% (27,748) | 20.9% (926) |
| Bachelor's Degree and Higher | 19.6% (31,335) | 13.3% (589) |
Education Levels Comparison: Corona vs Woodruff
- A higher percentage of residents in Corona have no formal schooling at 1.9% compared to 0.0% in Woodruff.
- In Woodruff, the rate of residents with high school diplomas is higher at 20.5% compared to 14.3% in Corona.
- The percentage of residents with less than a high school education is higher in Woodruff at 20.9%, compared to 17.4% in Corona.
- A higher percentage of residents in Corona hold a bachelor's degree or higher at 19.6% compared to 13.3% in Woodruff.
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.