Demographics details for Yucca valley, CA vs Pascagoula, MS
Population Overview
Compare main population characteristics in Yucca valley, CA vs Pascagoula, MS.
| Data | Yucca valley | Pascagoula |
|---|---|---|
| Population | 21,662 | 21,650 |
| Median Age | 39.9 years | 34.8 years |
| Median Income | $54,153 | $41,679 |
| Married Families | 34.0% | 28.0% |
| Poverty Level | 12% | 16% |
| Unemployment Rate | 5.2 | 3.8 |
Population Comparison: Yucca valley vs Pascagoula
- In Yucca valley, the population is higher at 21,662, compared to 21,650 in Pascagoula.
- Residents in Yucca valley have a higher median age of 39.9 years compared to 34.8 years in Pascagoula.
- Yucca valley has a higher median income of $54,153 compared to $41,679 in Pascagoula.
- A higher percentage of married families is found in Yucca valley at 34.0% compared to 28.0% in Pascagoula.
- The poverty level is higher in Pascagoula at 16%, compared to 12% in Yucca valley.
- The unemployment rate in Yucca valley is higher at 5.2%, compared to 3.8% in Pascagoula.
Demographics
Demographics Yucca valley vs Pascagoula provide insight into the diversity of the communities to compare.
| Demographic | Yucca valley | Pascagoula |
|---|---|---|
| Black | 4 | 37 |
| White | 51 | 45 |
| Asian | 2 | 1 |
| Hispanic | 25 | 13 |
| Two or More Races | 16 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Yucca valley vs Pascagoula
- In Pascagoula, the percentage of Black residents is higher at 37% compared to 4% in Yucca valley.
- Yucca valley has a higher percentage of White residents at 51% compared to 45% in Pascagoula.
- The Asian population is larger in Yucca valley at 2% compared to 1% in Pascagoula.
- The Hispanic community is larger in Yucca valley at 25% compared to 13% in Pascagoula.
- More residents identify as two or more races in Yucca valley at 16% compared to 4% in Pascagoula.
- A greater percentage of American Indian residents live in Yucca valley at 2% compared to 0% in Pascagoula.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Yucca valley | Pascagoula |
|---|---|---|
| Mental Health Not Good | 19.2% | 17.5% |
| Physical Health Not Good | 13.6% | 13.2% |
| Depression | 22.0% | 22.5% |
| Smoking | 16.7% | 20.8% |
| Binge Drinking | 16.4% | 14.2% |
| Obesity | 38.8% | 38.9% |
| Disability Percentage | 20.0% | 16.0% |
Health Statistics Comparison: Yucca valley vs Pascagoula
- More residents in Yucca valley report poor mental health at 19.2% compared to 17.5% in Pascagoula.
- Higher depression rates are seen in Pascagoula at 22.5% versus 22.0% in Yucca valley.
- Pascagoula has a higher smoking rate at 20.8% compared to 16.7% in Yucca valley.
- Binge drinking is more common in Yucca valley at 16.4% compared to 14.2% in Pascagoula.
- Pascagoula has higher obesity rates at 38.9% compared to 38.8% in Yucca valley.
- Disability percentages are higher in Yucca valley at 20.0% compared to 16.0% in Pascagoula.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Yucca valley | Pascagoula |
|---|---|---|
| No Schooling | 0.9% (191) | 1.1% (237) |
| High School Diploma | 17.3% (3,754) | 15.1% (3,262) |
| Less than High School | 15.6% (3,383) | 12.2% (2,644) |
| Bachelor's Degree and Higher | 13.4% (2,907) | 11.6% (2,521) |
Education Levels Comparison: Yucca valley vs Pascagoula
- In Pascagoula, a larger percentage of residents lack formal schooling at 1.1% 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 15.1% in Pascagoula.
- More residents in Yucca valley have less than a high school education at 15.6% compared to 12.2% in Pascagoula.
- A higher percentage of residents in Yucca valley hold a bachelor's degree or higher at 13.4% compared to 11.6% in Pascagoula.
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.