Demographics details for Webb city, MO vs Chino hills, CA
Population Overview
Compare main population characteristics in Webb city, MO vs Chino hills, CA.
| Data | Webb city | Chino hills |
|---|---|---|
| Population | 13,165 | 77,949 |
| Median Age | 34.2 years | 39.4 years |
| Median Income | $58,964 | $117,548 |
| Married Families | 36.0% | 47.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Webb city vs Chino hills
- The population in Chino hills is higher at 77,949, compared to 13,165 in Webb city.
- The median age in Chino hills is higher at 39.4 years, compared to 34.2 years in Webb city.
- Chino hills has a higher median income of $117,548, compared to $58,964 in Webb city.
- In Chino hills, the percentage of married families is higher at 47.0%, compared to 36.0% in Webb city.
- Webb city has a higher poverty level at 12% compared to 8% in Chino hills.
- The unemployment rate is the same in both Webb city and Chino hills at 3.5%.
Demographics
Demographics Webb city vs Chino hills provide insight into the diversity of the communities to compare.
| Demographic | Webb city | Chino hills |
|---|---|---|
| Black | 2 | 4 |
| White | 87 | 14 |
| Asian | 2 | 40 |
| Hispanic | 2 | 29 |
| Two or More Races | 6 | 13 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Webb city vs Chino hills
- In Chino hills, the percentage of Black residents is higher at 4% compared to 2% in Webb city.
- Webb city has a higher percentage of White residents at 87% compared to 14% in Chino hills.
- In Chino hills, the Asian population stands at 40%, greater than 2% in Webb city.
- Chino hills has a higher percentage of Hispanic residents at 29%, compared to 2% in Webb city.
- The percentage of residents identifying as two or more races is higher in Chino hills at 13%, compared to 6% in Webb city.
- A greater percentage of American Indian residents live in Webb city at 1% compared to 0% in Chino hills.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Webb city | Chino hills |
|---|---|---|
| Mental Health Not Good | 19.2% | 12.7% |
| Physical Health Not Good | 13.6% | 8.0% |
| Depression | 26.8% | 14.6% |
| Smoking | 21.8% | 7.9% |
| Binge Drinking | 16.2% | 15.3% |
| Obesity | 40.0% | 28.4% |
| Disability Percentage | 16.0% | 7.0% |
Health Statistics Comparison: Webb city vs Chino hills
- More residents in Webb city report poor mental health at 19.2% compared to 12.7% in Chino hills.
- Depression is more prevalent in Webb city at 26.8% compared to 14.6% in Chino hills.
- Smoking is more prevalent in Webb city at 21.8% compared to 7.9% in Chino hills.
- Binge drinking is more common in Webb city at 16.2% compared to 15.3% in Chino hills.
- Obesity rates are higher in Webb city at 40.0% compared to 28.4% in Chino hills.
- Disability percentages are higher in Webb city at 16.0% compared to 7.0% in Chino hills.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Webb city | Chino hills |
|---|---|---|
| No Schooling | 0.4% (53) | 1.1% (849) |
| High School Diploma | 19.4% (2,556) | 9.6% (7,450) |
| Less than High School | 11.6% (1,529) | 7.2% (5,599) |
| Bachelor's Degree and Higher | 17.5% (2,301) | 34.4% (26,814) |
Education Levels Comparison: Webb city vs Chino hills
- In Chino hills, a larger percentage of residents lack formal schooling at 1.1% compared to 0.4% in Webb city.
- A higher percentage of residents in Webb city hold a high school diploma at 19.4% compared to 9.6% in Chino hills.
- More residents in Webb city have less than a high school education at 11.6% compared to 7.2% in Chino hills.
- In Chino hills, a larger share of residents have a bachelor's degree or higher at 34.4% compared to 17.5% in Webb city.
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.