Demographics details for Clayton, NC vs Yucca valley, CA
Population Overview
Compare main population characteristics in Clayton, NC vs Yucca valley, CA.
Data | Clayton | Yucca valley |
---|---|---|
Population | 29,445 | 21,662 |
Median Age | 32.6 years | 39.9 years |
Median Income | $71,698 | $54,153 |
Married Families | 35.0% | 34.0% |
Poverty Level | 5% | 12% |
Unemployment Rate | 3.7 | 5.2 |
Population Comparison: Clayton vs Yucca valley
- In Clayton, the population is higher at 29,445, compared to 21,662 in Yucca valley.
- The median age in Yucca valley is higher at 39.9 years, compared to 32.6 years in Clayton.
- Clayton has a higher median income of $71,698 compared to $54,153 in Yucca valley.
- A higher percentage of married families is found in Clayton at 35.0% compared to 34.0% in Yucca valley.
- The poverty level is higher in Yucca valley at 12%, compared to 5% in Clayton.
- Yucca valley has a higher unemployment rate at 5.2% compared to 3.7% in Clayton.
Demographics
Demographics Clayton vs Yucca valley provide insight into the diversity of the communities to compare.
Demographic | Clayton | Yucca valley |
---|---|---|
Black | 22 | 4 |
White | 59 | 51 |
Asian | 1 | 2 |
Hispanic | 13 | 25 |
Two or More Races | 5 | 16 |
American Indian | Data is updating | 2 |
Demographics Comparison: Clayton vs Yucca valley
- A higher percentage of Black residents are in Clayton at 22% compared to 4% in Yucca valley.
- Clayton has a higher percentage of White residents at 59% compared to 51% in Yucca valley.
- In Yucca valley, the Asian population stands at 2%, greater than 1% in Clayton.
- Yucca valley has a higher percentage of Hispanic residents at 25%, compared to 13% in Clayton.
- The percentage of residents identifying as two or more races is higher in Yucca valley at 16%, compared to 5% in Clayton.
- In Yucca valley, the percentage of American Indian residents is higher at 2%, compared to 0% in Clayton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Clayton | Yucca valley |
---|---|---|
Mental Health Not Good | 15.6% | 19.2% |
Physical Health Not Good | 10.4% | 13.6% |
Depression | 23.1% | 22.0% |
Smoking | 15.2% | 16.7% |
Binge Drinking | 17.6% | 16.4% |
Obesity | 39.9% | 38.8% |
Disability Percentage | 10.0% | 20.0% |
Health Statistics Comparison: Clayton vs Yucca valley
- In Yucca valley, a higher percentage report poor mental health at 19.2% compared to 15.6% in Clayton.
- Depression is more prevalent in Clayton at 23.1% compared to 22.0% in Yucca valley.
- Yucca valley has a higher smoking rate at 16.7% compared to 15.2% in Clayton.
- Binge drinking is more common in Clayton at 17.6% compared to 16.4% in Yucca valley.
- Obesity rates are higher in Clayton at 39.9% compared to 38.8% in Yucca valley.
- There is a higher percentage of disabled individuals in Yucca valley at 20.0% compared to 10.0% in Clayton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Clayton | Yucca valley |
---|---|---|
No Schooling | 0.7% (210) | 0.9% (191) |
High School Diploma | 12.6% (3,700) | 17.3% (3,754) |
Less than High School | 5.4% (1,598) | 15.6% (3,383) |
Bachelor's Degree and Higher | 18.6% (5,471) | 13.4% (2,907) |
Education Levels Comparison: Clayton vs Yucca valley
- In Yucca valley, a larger percentage of residents lack formal schooling at 0.9% compared to 0.7% in Clayton.
- In Yucca valley, the rate of residents with high school diplomas is higher at 17.3% compared to 12.6% in Clayton.
- The percentage of residents with less than a high school education is higher in Yucca valley at 15.6%, compared to 5.4% in Clayton.
- A higher percentage of residents in Clayton hold a bachelor's degree or higher at 18.6% compared to 13.4% in Yucca valley.
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.