Demographics details for Dekalb, IL vs Yucca valley, CA
Population Overview
Compare main population characteristics in Dekalb, IL vs Yucca valley, CA.
| Data | Dekalb | Yucca valley |
|---|---|---|
| Population | 40,220 | 21,662 |
| Median Age | 24.9 years | 39.9 years |
| Median Income | $47,410 | $54,153 |
| Married Families | 25.0% | 34.0% |
| Poverty Level | 13% | 12% |
| Unemployment Rate | 6.3 | 5.2 |
Population Comparison: Dekalb vs Yucca valley
- In Dekalb, the population is higher at 40,220, compared to 21,662 in Yucca valley.
- The median age in Yucca valley is higher at 39.9 years, compared to 24.9 years in Dekalb.
- Yucca valley has a higher median income of $54,153, compared to $47,410 in Dekalb.
- In Yucca valley, the percentage of married families is higher at 34.0%, compared to 25.0% in Dekalb.
- Dekalb has a higher poverty level at 13% compared to 12% in Yucca valley.
- The unemployment rate in Dekalb is higher at 6.3%, compared to 5.2% in Yucca valley.
Demographics
Demographics Dekalb vs Yucca valley provide insight into the diversity of the communities to compare.
| Demographic | Dekalb | Yucca valley |
|---|---|---|
| Black | 15 | 4 |
| White | 54 | 51 |
| Asian | 5 | 2 |
| Hispanic | 16 | 25 |
| Two or More Races | 9 | 16 |
| American Indian | 1 | 2 |
Demographics Comparison: Dekalb vs Yucca valley
- A higher percentage of Black residents are in Dekalb at 15% compared to 4% in Yucca valley.
- Dekalb has a higher percentage of White residents at 54% compared to 51% in Yucca valley.
- The Asian population is larger in Dekalb at 5% compared to 2% in Yucca valley.
- Yucca valley has a higher percentage of Hispanic residents at 25%, compared to 16% in Dekalb.
- The percentage of residents identifying as two or more races is higher in Yucca valley at 16%, compared to 9% in Dekalb.
- In Yucca valley, the percentage of American Indian residents is higher at 2%, compared to 1% in Dekalb.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dekalb | Yucca valley |
|---|---|---|
| Mental Health Not Good | 16.6% | 19.2% |
| Physical Health Not Good | 11.4% | 13.6% |
| Depression | 21.2% | 22.0% |
| Smoking | 16.6% | 16.7% |
| Binge Drinking | 16.5% | 16.4% |
| Obesity | 39.0% | 38.8% |
| Disability Percentage | 10.0% | 20.0% |
Health Statistics Comparison: Dekalb vs Yucca valley
- In Yucca valley, a higher percentage report poor mental health at 19.2% compared to 16.6% in Dekalb.
- Higher depression rates are seen in Yucca valley at 22.0% versus 21.2% in Dekalb.
- Yucca valley has a higher smoking rate at 16.7% compared to 16.6% in Dekalb.
- Binge drinking is more common in Dekalb at 16.5% compared to 16.4% in Yucca valley.
- Obesity rates are higher in Dekalb at 39.0% 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 Dekalb.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dekalb | Yucca valley |
|---|---|---|
| No Schooling | 1.3% (531) | 0.9% (191) |
| High School Diploma | 9.4% (3,786) | 17.3% (3,754) |
| Less than High School | 8.3% (3,334) | 15.6% (3,383) |
| Bachelor's Degree and Higher | 19.5% (7,828) | 13.4% (2,907) |
Education Levels Comparison: Dekalb vs Yucca valley
- A higher percentage of residents in Dekalb have no formal schooling at 1.3% compared to 0.9% in Yucca valley.
- In Yucca valley, the rate of residents with high school diplomas is higher at 17.3% compared to 9.4% in Dekalb.
- The percentage of residents with less than a high school education is higher in Yucca valley at 15.6%, compared to 8.3% in Dekalb.
- A higher percentage of residents in Dekalb hold a bachelor's degree or higher at 19.5% 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.