Demographics details for Yucca valley, CA vs Winder, GA
Population Overview
Compare main population characteristics in Yucca valley, CA vs Winder, GA.
| Data | Yucca valley | Winder |
|---|---|---|
| Population | 21,662 | 19,400 |
| Median Age | 39.9 years | 36.4 years |
| Median Income | $54,153 | $57,365 |
| Married Families | 34.0% | 34.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 5.2 | 3.5 |
Population Comparison: Yucca valley vs Winder
- In Yucca valley, the population is higher at 21,662, compared to 19,400 in Winder.
- Residents in Yucca valley have a higher median age of 39.9 years compared to 36.4 years in Winder.
- Winder has a higher median income of $57,365, compared to $54,153 in Yucca valley.
- The percentage of married families is the same in both Yucca valley and Winder at 34.0%.
- The poverty level is higher in Winder at 13%, compared to 12% in Yucca valley.
- The unemployment rate in Yucca valley is higher at 5.2%, compared to 3.5% in Winder.
Demographics
Demographics Yucca valley vs Winder provide insight into the diversity of the communities to compare.
| Demographic | Yucca valley | Winder |
|---|---|---|
| Black | 4 | 20 |
| White | 51 | 53 |
| Asian | 2 | 2 |
| Hispanic | 25 | 15 |
| Two or More Races | 16 | 10 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Yucca valley vs Winder
- In Winder, the percentage of Black residents is higher at 20% compared to 4% in Yucca valley.
- The percentage of White residents is higher in Winder at 53% compared to 51% in Yucca valley.
- Both Yucca valley and Winder have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Yucca valley at 25% compared to 15% in Winder.
- More residents identify as two or more races in Yucca valley at 16% compared to 10% in Winder.
- A greater percentage of American Indian residents live in Yucca valley at 2% compared to 0% in Winder.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Yucca valley | Winder |
|---|---|---|
| Mental Health Not Good | 19.2% | 17.9% |
| Physical Health Not Good | 13.6% | 12.9% |
| Depression | 22.0% | 22.6% |
| Smoking | 16.7% | 19.8% |
| Binge Drinking | 16.4% | 15.5% |
| Obesity | 38.8% | 40.9% |
| Disability Percentage | 20.0% | 14.0% |
Health Statistics Comparison: Yucca valley vs Winder
- More residents in Yucca valley report poor mental health at 19.2% compared to 17.9% in Winder.
- Higher depression rates are seen in Winder at 22.6% versus 22.0% in Yucca valley.
- Winder has a higher smoking rate at 19.8% compared to 16.7% in Yucca valley.
- Binge drinking is more common in Yucca valley at 16.4% compared to 15.5% in Winder.
- Winder has higher obesity rates at 40.9% compared to 38.8% in Yucca valley.
- Disability percentages are higher in Yucca valley at 20.0% compared to 14.0% in Winder.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Yucca valley | Winder |
|---|---|---|
| No Schooling | 0.9% (191) | 1.2% (240) |
| High School Diploma | 17.3% (3,754) | 15.8% (3,070) |
| Less than High School | 15.6% (3,383) | 14.0% (2,718) |
| Bachelor's Degree and Higher | 13.4% (2,907) | 13.0% (2,516) |
Education Levels Comparison: Yucca valley vs Winder
- In Winder, a larger percentage of residents lack formal schooling at 1.2% compared to 0.9% in Yucca valley.
- A higher percentage of residents in Yucca valley hold a high school diploma at 17.3% compared to 15.8% in Winder.
- More residents in Yucca valley have less than a high school education at 15.6% compared to 14.0% in Winder.
- A higher percentage of residents in Yucca valley hold a bachelor's degree or higher at 13.4% compared to 13.0% in Winder.
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.