Demographics details for Woodland, WA vs Chino, CA
Population Overview
Compare main population characteristics in Woodland, WA vs Chino, CA.
| Data | Woodland | Chino |
|---|---|---|
| Population | 6,523 | 93,140 |
| Median Age | 36.7 years | 36.9 years |
| Median Income | $78,870 | $99,385 |
| Married Families | 35.0% | 40.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 4.1 | 4.6 |
Population Comparison: Woodland vs Chino
- The population in Chino is higher at 93,140, compared to 6,523 in Woodland.
- The median age in Chino is higher at 36.9 years, compared to 36.7 years in Woodland.
- Chino has a higher median income of $99,385, compared to $78,870 in Woodland.
- In Chino, the percentage of married families is higher at 40.0%, compared to 35.0% in Woodland.
- The poverty level is higher in Chino at 12%, compared to 5% in Woodland.
- Chino has a higher unemployment rate at 4.6% compared to 4.1% in Woodland.
Demographics
Demographics Woodland vs Chino provide insight into the diversity of the communities to compare.
| Demographic | Woodland | Chino |
|---|---|---|
| Black | 1 | 7 |
| White | 62 | 4 |
| Asian | Data is updating | 18 |
| Hispanic | 25 | 53 |
| Two or More Races | 12 | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Woodland vs Chino
- In Chino, the percentage of Black residents is higher at 7% compared to 1% in Woodland.
- Woodland has a higher percentage of White residents at 62% compared to 4% in Chino.
- In Chino, the Asian population stands at 18%, greater than 0% in Woodland.
- Chino has a higher percentage of Hispanic residents at 53%, compared to 25% in Woodland.
- The percentage of residents identifying as two or more races is higher in Chino at 17%, compared to 12% in Woodland.
- In Chino, the percentage of American Indian residents is higher at 1%, compared to 0% in Woodland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodland | Chino |
|---|---|---|
| Mental Health Not Good | 16.9% | 15.2% |
| Physical Health Not Good | 11.3% | 11.1% |
| Depression | 26.9% | 16.7% |
| Smoking | 14.6% | 11.3% |
| Binge Drinking | 17.8% | 16.0% |
| Obesity | 35.1% | 35.6% |
| Disability Percentage | 13.0% | 7.0% |
Health Statistics Comparison: Woodland vs Chino
- More residents in Woodland report poor mental health at 16.9% compared to 15.2% in Chino.
- Depression is more prevalent in Woodland at 26.9% compared to 16.7% in Chino.
- Smoking is more prevalent in Woodland at 14.6% compared to 11.3% in Chino.
- Binge drinking is more common in Woodland at 17.8% compared to 16.0% in Chino.
- Chino has higher obesity rates at 35.6% compared to 35.1% in Woodland.
- Disability percentages are higher in Woodland at 13.0% compared to 7.0% in Chino.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodland | Chino |
|---|---|---|
| No Schooling | 0.2% (12) | 1.6% (1,483) |
| High School Diploma | 13.9% (907) | 13.2% (12,268) |
| Less than High School | 15.9% (1,034) | 20.1% (18,697) |
| Bachelor's Degree and Higher | 11.3% (737) | 18.9% (17,626) |
Education Levels Comparison: Woodland vs Chino
- In Chino, a larger percentage of residents lack formal schooling at 1.6% compared to 0.2% in Woodland.
- A higher percentage of residents in Woodland hold a high school diploma at 13.9% compared to 13.2% in Chino.
- The percentage of residents with less than a high school education is higher in Chino at 20.1%, compared to 15.9% in Woodland.
- In Chino, a larger share of residents have a bachelor's degree or higher at 18.9% compared to 11.3% in Woodland.
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.