Demographics details for Chester, MA vs Covina, CA
Population Overview
Compare main population characteristics in Chester, MA vs Covina, CA.
| Data | Chester | Covina |
|---|---|---|
| Population | 1,337 | 49,489 |
| Median Age | 41.0 years | 37.6 years |
| Median Income | $78,889 | $89,650 |
| Married Families | 64.0% | 38.0% |
| Poverty Level | 4% | 12% |
| Unemployment Rate | 3.3 | 6.0 |
Population Comparison: Chester vs Covina
- The population in Covina is higher at 49,489, compared to 1,337 in Chester.
- Residents in Chester have a higher median age of 41.0 years compared to 37.6 years in Covina.
- Covina has a higher median income of $89,650, compared to $78,889 in Chester.
- A higher percentage of married families is found in Chester at 64.0% compared to 38.0% in Covina.
- The poverty level is higher in Covina at 12%, compared to 4% in Chester.
- Covina has a higher unemployment rate at 6.0% compared to 3.3% in Chester.
Demographics
Demographics Chester vs Covina provide insight into the diversity of the communities to compare.
| Demographic | Chester | Covina |
|---|---|---|
| Black | Data is updating | 4 |
| White | 100 | 18 |
| Asian | Data is updating | 14 |
| Hispanic | Data is updating | 63 |
| Two or More Races | Data is updating | 19 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Chester vs Covina
- In Covina, the percentage of Black residents is higher at 4% compared to 0% in Chester.
- Chester has a higher percentage of White residents at 100% compared to 18% in Covina.
- In Covina, the Asian population stands at 14%, greater than 0% in Chester.
- Covina has a higher percentage of Hispanic residents at 63%, compared to 0% in Chester.
- The percentage of residents identifying as two or more races is higher in Covina at 19%, compared to 0% in Chester.
- In Covina, the percentage of American Indian residents is higher at 1%, compared to 0% in Chester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Covina |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.1% |
| Physical Health Not Good | Data is updating% | 10.9% |
| Depression | Data is updating% | 15.9% |
| Smoking | Data is updating% | 10.5% |
| Binge Drinking | Data is updating% | 15.6% |
| Obesity | Data is updating% | 28.2% |
| Disability Percentage | Data is updating% | 12.0% |
Health Statistics Comparison: Chester vs Covina
- In Covina, a higher percentage report poor mental health at 15.1% compared to 0.0% in Chester.
- Higher depression rates are seen in Covina at 15.9% versus 0.0% in Chester.
- Covina has a higher smoking rate at 10.5% compared to 0.0% in Chester.
- More residents engage in binge drinking in Covina at 15.6% compared to 0.0% in Chester.
- Covina has higher obesity rates at 28.2% compared to 0.0% in Chester.
- There is a higher percentage of disabled individuals in Covina at 12.0% compared to 0.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | Covina |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.5% (753) |
| High School Diploma | 0.0% (Data is updating) | 17.4% (8,620) |
| Less than High School | 0.0% (Data is updating) | 17.2% (8,533) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 18.7% (9,254) |
Education Levels Comparison: Chester vs Covina
- In Covina, a larger percentage of residents lack formal schooling at 1.5% compared to 0.0% in Chester.
- In Covina, the rate of residents with high school diplomas is higher at 17.4% compared to 0.0% in Chester.
- The percentage of residents with less than a high school education is higher in Covina at 17.2%, compared to 0.0% in Chester.
- In Covina, a larger share of residents have a bachelor's degree or higher at 18.7% compared to 0.0% in Chester.
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.