Demographics details for Pampa, TX vs Chino hills, CA
Population Overview
Compare main population characteristics in Pampa, TX vs Chino hills, CA.
| Data | Pampa | Chino hills |
|---|---|---|
| Population | 16,612 | 77,949 |
| Median Age | 35.5 years | 39.4 years |
| Median Income | $52,966 | $117,548 |
| Married Families | 42.0% | 47.0% |
| Poverty Level | 14% | 8% |
| Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Pampa vs Chino hills
- The population in Chino hills is higher at 77,949, compared to 16,612 in Pampa.
- The median age in Chino hills is higher at 39.4 years, compared to 35.5 years in Pampa.
- Chino hills has a higher median income of $117,548, compared to $52,966 in Pampa.
- In Chino hills, the percentage of married families is higher at 47.0%, compared to 42.0% in Pampa.
- Pampa has a higher poverty level at 14% compared to 8% in Chino hills.
- Chino hills has a higher unemployment rate at 3.5% compared to 3.4% in Pampa.
Demographics
Demographics Pampa vs Chino hills provide insight into the diversity of the communities to compare.
| Demographic | Pampa | Chino hills |
|---|---|---|
| Black | 3 | 4 |
| White | 53 | 14 |
| Asian | 2 | 40 |
| Hispanic | 34 | 29 |
| Two or More Races | 7 | 13 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pampa vs Chino hills
- In Chino hills, the percentage of Black residents is higher at 4% compared to 3% in Pampa.
- Pampa has a higher percentage of White residents at 53% compared to 14% in Chino hills.
- In Chino hills, the Asian population stands at 40%, greater than 2% in Pampa.
- The Hispanic community is larger in Pampa at 34% compared to 29% in Chino hills.
- The percentage of residents identifying as two or more races is higher in Chino hills at 13%, compared to 7% in Pampa.
- A greater percentage of American Indian residents live in Pampa at 1% compared to 0% in Chino hills.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pampa | Chino hills |
|---|---|---|
| Mental Health Not Good | 19.5% | 12.7% |
| Physical Health Not Good | 14.0% | 8.0% |
| Depression | 25.4% | 14.6% |
| Smoking | 21.1% | 7.9% |
| Binge Drinking | 17.9% | 15.3% |
| Obesity | 39.7% | 28.4% |
| Disability Percentage | 12.0% | 7.0% |
Health Statistics Comparison: Pampa vs Chino hills
- More residents in Pampa report poor mental health at 19.5% compared to 12.7% in Chino hills.
- Depression is more prevalent in Pampa at 25.4% compared to 14.6% in Chino hills.
- Smoking is more prevalent in Pampa at 21.1% compared to 7.9% in Chino hills.
- Binge drinking is more common in Pampa at 17.9% compared to 15.3% in Chino hills.
- Obesity rates are higher in Pampa at 39.7% compared to 28.4% in Chino hills.
- Disability percentages are higher in Pampa 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 | Pampa | Chino hills |
|---|---|---|
| No Schooling | 1.4% (238) | 1.1% (849) |
| High School Diploma | 14.7% (2,443) | 9.6% (7,450) |
| Less than High School | 24.0% (3,994) | 7.2% (5,599) |
| Bachelor's Degree and Higher | 10.6% (1,757) | 34.4% (26,814) |
Education Levels Comparison: Pampa vs Chino hills
- A higher percentage of residents in Pampa have no formal schooling at 1.4% compared to 1.1% in Chino hills.
- A higher percentage of residents in Pampa hold a high school diploma at 14.7% compared to 9.6% in Chino hills.
- More residents in Pampa have less than a high school education at 24.0% 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 10.6% in Pampa.
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.