Demographics details for Chino hills, CA vs Manhattan, KS
Population Overview
Compare main population characteristics in Chino hills, CA vs Manhattan, KS.
| Data | Chino hills | Manhattan |
|---|---|---|
| Population | 77,949 | 53,829 |
| Median Age | 39.4 years | 24.7 years |
| Median Income | $117,548 | $55,316 |
| Married Families | 47.0% | 29.0% |
| Poverty Level | 8% | 15% |
| Unemployment Rate | 3.5 | 3.8 |
Population Comparison: Chino hills vs Manhattan
- In Chino hills, the population is higher at 77,949, compared to 53,829 in Manhattan.
- Residents in Chino hills have a higher median age of 39.4 years compared to 24.7 years in Manhattan.
- Chino hills has a higher median income of $117,548 compared to $55,316 in Manhattan.
- A higher percentage of married families is found in Chino hills at 47.0% compared to 29.0% in Manhattan.
- The poverty level is higher in Manhattan at 15%, compared to 8% in Chino hills.
- Manhattan has a higher unemployment rate at 3.8% compared to 3.5% in Chino hills.
Demographics
Demographics Chino hills vs Manhattan provide insight into the diversity of the communities to compare.
| Demographic | Chino hills | Manhattan |
|---|---|---|
| Black | 4 | 5 |
| White | 14 | 74 |
| Asian | 40 | 5 |
| Hispanic | 29 | 8 |
| Two or More Races | 13 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Chino hills vs Manhattan
- In Manhattan, the percentage of Black residents is higher at 5% compared to 4% in Chino hills.
- The percentage of White residents is higher in Manhattan at 74% compared to 14% in Chino hills.
- The Asian population is larger in Chino hills at 40% compared to 5% in Manhattan.
- The Hispanic community is larger in Chino hills at 29% compared to 8% in Manhattan.
- More residents identify as two or more races in Chino hills at 13% compared to 7% in Manhattan.
- In Manhattan, the percentage of American Indian residents is higher at 1%, compared to 0% in Chino hills.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chino hills | Manhattan |
|---|---|---|
| Mental Health Not Good | 12.7% | 15.7% |
| Physical Health Not Good | 8.0% | 10.1% |
| Depression | 14.6% | 20.2% |
| Smoking | 7.9% | 16.0% |
| Binge Drinking | 15.3% | 20.6% |
| Obesity | 28.4% | 32.2% |
| Disability Percentage | 7.0% | 12.0% |
Health Statistics Comparison: Chino hills vs Manhattan
- In Manhattan, a higher percentage report poor mental health at 15.7% compared to 12.7% in Chino hills.
- Higher depression rates are seen in Manhattan at 20.2% versus 14.6% in Chino hills.
- Manhattan has a higher smoking rate at 16.0% compared to 7.9% in Chino hills.
- More residents engage in binge drinking in Manhattan at 20.6% compared to 15.3% in Chino hills.
- Manhattan has higher obesity rates at 32.2% compared to 28.4% in Chino hills.
- There is a higher percentage of disabled individuals in Manhattan at 12.0% 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 | Chino hills | Manhattan |
|---|---|---|
| No Schooling | 1.1% (849) | 0.5% (256) |
| High School Diploma | 9.6% (7,450) | 5.8% (3,138) |
| Less than High School | 7.2% (5,599) | 4.2% (2,256) |
| Bachelor's Degree and Higher | 34.4% (26,814) | 26.0% (14,017) |
Education Levels Comparison: Chino hills vs Manhattan
- A higher percentage of residents in Chino hills have no formal schooling at 1.1% compared to 0.5% in Manhattan.
- A higher percentage of residents in Chino hills hold a high school diploma at 9.6% compared to 5.8% in Manhattan.
- More residents in Chino hills have less than a high school education at 7.2% compared to 4.2% in Manhattan.
- A higher percentage of residents in Chino hills hold a bachelor's degree or higher at 34.4% compared to 26.0% in Manhattan.
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.