Demographics details for Pearisburg, VA vs Covina, CA
Population Overview
Compare main population characteristics in Pearisburg, VA vs Covina, CA.
| Data | Pearisburg | Covina |
|---|---|---|
| Population | 2,832 | 49,489 |
| Median Age | 46.5 years | 37.6 years |
| Median Income | $70,905 | $89,650 |
| Married Families | 43.0% | 38.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.5 | 6.0 |
Population Comparison: Pearisburg vs Covina
- The population in Covina is higher at 49,489, compared to 2,832 in Pearisburg.
- Residents in Pearisburg have a higher median age of 46.5 years compared to 37.6 years in Covina.
- Covina has a higher median income of $89,650, compared to $70,905 in Pearisburg.
- A higher percentage of married families is found in Pearisburg at 43.0% compared to 38.0% in Covina.
- The poverty level is higher in Covina at 12%, compared to 10% in Pearisburg.
- Covina has a higher unemployment rate at 6.0% compared to 3.5% in Pearisburg.
Demographics
Demographics Pearisburg vs Covina provide insight into the diversity of the communities to compare.
| Demographic | Pearisburg | Covina |
|---|---|---|
| Black | 10 | 4 |
| White | 89 | 18 |
| Asian | Data is updating | 14 |
| Hispanic | 1 | 63 |
| Two or More Races | Data is updating | 19 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pearisburg vs Covina
- A higher percentage of Black residents are in Pearisburg at 10% compared to 4% in Covina.
- Pearisburg has a higher percentage of White residents at 89% compared to 18% in Covina.
- In Covina, the Asian population stands at 14%, greater than 0% in Pearisburg.
- Covina has a higher percentage of Hispanic residents at 63%, compared to 1% in Pearisburg.
- The percentage of residents identifying as two or more races is higher in Covina at 19%, compared to 0% in Pearisburg.
- In Covina, the percentage of American Indian residents is higher at 1%, compared to 0% in Pearisburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pearisburg | Covina |
|---|---|---|
| Mental Health Not Good | 18.2% | 15.1% |
| Physical Health Not Good | 12.0% | 10.9% |
| Depression | 24.8% | 15.9% |
| Smoking | 19.5% | 10.5% |
| Binge Drinking | 17.8% | 15.6% |
| Obesity | 36.0% | 28.2% |
| Disability Percentage | 14.0% | 12.0% |
Health Statistics Comparison: Pearisburg vs Covina
- More residents in Pearisburg report poor mental health at 18.2% compared to 15.1% in Covina.
- Depression is more prevalent in Pearisburg at 24.8% compared to 15.9% in Covina.
- Smoking is more prevalent in Pearisburg at 19.5% compared to 10.5% in Covina.
- Binge drinking is more common in Pearisburg at 17.8% compared to 15.6% in Covina.
- Obesity rates are higher in Pearisburg at 36.0% compared to 28.2% in Covina.
- Disability percentages are higher in Pearisburg at 14.0% compared to 12.0% in Covina.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pearisburg | Covina |
|---|---|---|
| No Schooling | 0.7% (20) | 1.5% (753) |
| High School Diploma | 33.2% (939) | 17.4% (8,620) |
| Less than High School | 7.0% (199) | 17.2% (8,533) |
| Bachelor's Degree and Higher | 15.0% (426) | 18.7% (9,254) |
Education Levels Comparison: Pearisburg vs Covina
- In Covina, a larger percentage of residents lack formal schooling at 1.5% compared to 0.7% in Pearisburg.
- A higher percentage of residents in Pearisburg hold a high school diploma at 33.2% compared to 17.4% in Covina.
- The percentage of residents with less than a high school education is higher in Covina at 17.2%, compared to 7.0% in Pearisburg.
- In Covina, a larger share of residents have a bachelor's degree or higher at 18.7% compared to 15.0% in Pearisburg.
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.