Demographics details for Redwood city, CA vs Forest, MS
Population Overview
Compare main population characteristics in Redwood city, CA vs Forest, MS.
| Data | Redwood city | Forest |
|---|---|---|
| Population | 80,512 | 5,330 |
| Median Age | 37.1 years | 36.4 years |
| Median Income | $145,620 | $50,093 |
| Married Families | 45.0% | 35.0% |
| Poverty Level | 9% | 18% |
| Unemployment Rate | 3.4 | 4.5 |
Population Comparison: Redwood city vs Forest
- In Redwood city, the population is higher at 80,512, compared to 5,330 in Forest.
- Residents in Redwood city have a higher median age of 37.1 years compared to 36.4 years in Forest.
- Redwood city has a higher median income of $145,620 compared to $50,093 in Forest.
- A higher percentage of married families is found in Redwood city at 45.0% compared to 35.0% in Forest.
- The poverty level is higher in Forest at 18%, compared to 9% in Redwood city.
- Forest has a higher unemployment rate at 4.5% compared to 3.4% in Redwood city.
Demographics
Demographics Redwood city vs Forest provide insight into the diversity of the communities to compare.
| Demographic | Redwood city | Forest |
|---|---|---|
| Black | 2 | 43 |
| White | 28 | 24 |
| Asian | 17 | Data is updating |
| Hispanic | 37 | 30 |
| Two or More Races | 14 | 3 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Redwood city vs Forest
- In Forest, the percentage of Black residents is higher at 43% compared to 2% in Redwood city.
- Redwood city has a higher percentage of White residents at 28% compared to 24% in Forest.
- The Asian population is larger in Redwood city at 17% compared to 0% in Forest.
- The Hispanic community is larger in Redwood city at 37% compared to 30% in Forest.
- More residents identify as two or more races in Redwood city at 14% compared to 3% in Forest.
- A greater percentage of American Indian residents live in Redwood city at 2% compared to 0% in Forest.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Redwood city | Forest |
|---|---|---|
| Mental Health Not Good | 13.7% | 18.9% |
| Physical Health Not Good | 9.1% | 16.8% |
| Depression | 16.1% | 21.2% |
| Smoking | 9.2% | 26.1% |
| Binge Drinking | 16.6% | 11.8% |
| Obesity | 24.6% | 45.7% |
| Disability Percentage | 8.0% | 20.0% |
Health Statistics Comparison: Redwood city vs Forest
- In Forest, a higher percentage report poor mental health at 18.9% compared to 13.7% in Redwood city.
- Higher depression rates are seen in Forest at 21.2% versus 16.1% in Redwood city.
- Forest has a higher smoking rate at 26.1% compared to 9.2% in Redwood city.
- Binge drinking is more common in Redwood city at 16.6% compared to 11.8% in Forest.
- Forest has higher obesity rates at 45.7% compared to 24.6% in Redwood city.
- There is a higher percentage of disabled individuals in Forest at 20.0% compared to 8.0% in Redwood city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Redwood city | Forest |
|---|---|---|
| No Schooling | 2.1% (1,692) | 4.4% (232) |
| High School Diploma | 10.3% (8,332) | 10.5% (557) |
| Less than High School | 16.0% (12,887) | 33.4% (1,779) |
| Bachelor's Degree and Higher | 39.1% (31,469) | 8.5% (455) |
Education Levels Comparison: Redwood city vs Forest
- In Forest, a larger percentage of residents lack formal schooling at 4.4% compared to 2.1% in Redwood city.
- In Forest, the rate of residents with high school diplomas is higher at 10.5% compared to 10.3% in Redwood city.
- The percentage of residents with less than a high school education is higher in Forest at 33.4%, compared to 16.0% in Redwood city.
- A higher percentage of residents in Redwood city hold a bachelor's degree or higher at 39.1% 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.