Demographics details for Yorba linda, CA vs Forest, MS
Population Overview
Compare main population characteristics in Yorba linda, CA vs Forest, MS.
| Data | Yorba linda | Forest |
|---|---|---|
| Population | 67,089 | 5,330 |
| Median Age | 44.3 years | 36.4 years |
| Median Income | $148,325 | $50,093 |
| Married Families | 52.0% | 35.0% |
| Poverty Level | 5% | 18% |
| Unemployment Rate | 3.8 | 4.5 |
Population Comparison: Yorba linda vs Forest
- In Yorba linda, the population is higher at 67,089, compared to 5,330 in Forest.
- Residents in Yorba linda have a higher median age of 44.3 years compared to 36.4 years in Forest.
- Yorba linda has a higher median income of $148,325 compared to $50,093 in Forest.
- A higher percentage of married families is found in Yorba linda at 52.0% compared to 35.0% in Forest.
- The poverty level is higher in Forest at 18%, compared to 5% in Yorba linda.
- Forest has a higher unemployment rate at 4.5% compared to 3.8% in Yorba linda.
Demographics
Demographics Yorba linda vs Forest provide insight into the diversity of the communities to compare.
| Demographic | Yorba linda | Forest |
|---|---|---|
| Black | 1 | 43 |
| White | 47 | 24 |
| Asian | 24 | Data is updating |
| Hispanic | 18 | 30 |
| Two or More Races | 10 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Yorba linda vs Forest
- In Forest, the percentage of Black residents is higher at 43% compared to 1% in Yorba linda.
- Yorba linda has a higher percentage of White residents at 47% compared to 24% in Forest.
- The Asian population is larger in Yorba linda at 24% compared to 0% in Forest.
- Forest has a higher percentage of Hispanic residents at 30%, compared to 18% in Yorba linda.
- More residents identify as two or more races in Yorba linda at 10% compared to 3% in Forest.
- The percentage of American Indian residents is the same in both Yorba linda and Forest at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Yorba linda | Forest |
|---|---|---|
| Mental Health Not Good | 13.2% | 18.9% |
| Physical Health Not Good | 7.9% | 16.8% |
| Depression | 17.4% | 21.2% |
| Smoking | 7.9% | 26.1% |
| Binge Drinking | 17.8% | 11.8% |
| Obesity | 23.2% | 45.7% |
| Disability Percentage | 8.0% | 20.0% |
Health Statistics Comparison: Yorba linda vs Forest
- In Forest, a higher percentage report poor mental health at 18.9% compared to 13.2% in Yorba linda.
- Higher depression rates are seen in Forest at 21.2% versus 17.4% in Yorba linda.
- Forest has a higher smoking rate at 26.1% compared to 7.9% in Yorba linda.
- Binge drinking is more common in Yorba linda at 17.8% compared to 11.8% in Forest.
- Forest has higher obesity rates at 45.7% compared to 23.2% in Yorba linda.
- There is a higher percentage of disabled individuals in Forest at 20.0% compared to 8.0% in Yorba linda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Yorba linda | Forest |
|---|---|---|
| No Schooling | 0.4% (244) | 4.4% (232) |
| High School Diploma | 7.7% (5,151) | 10.5% (557) |
| Less than High School | 5.2% (3,507) | 33.4% (1,779) |
| Bachelor's Degree and Higher | 39.5% (26,487) | 8.5% (455) |
Education Levels Comparison: Yorba linda vs Forest
- In Forest, a larger percentage of residents lack formal schooling at 4.4% compared to 0.4% in Yorba linda.
- In Forest, the rate of residents with high school diplomas is higher at 10.5% compared to 7.7% in Yorba linda.
- The percentage of residents with less than a high school education is higher in Forest at 33.4%, compared to 5.2% in Yorba linda.
- A higher percentage of residents in Yorba linda hold a bachelor's degree or higher at 39.5% compared to 8.5% in Forest.
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.