Demographics details for Chester, VA vs Penngrove, CA
Population Overview
Compare main population characteristics in Chester, VA vs Penngrove, CA.
| Data | Chester | Penngrove |
|---|---|---|
| Population | 23,068 | 2,184 |
| Median Age | 40.6 years | 59.0 years |
| Median Income | $87,242 | $97,237 |
| Married Families | 42.0% | 47.0% |
| Poverty Level | 5% | 6% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Chester vs Penngrove
- In Chester, the population is higher at 23,068, compared to 2,184 in Penngrove.
- The median age in Penngrove is higher at 59.0 years, compared to 40.6 years in Chester.
- Penngrove has a higher median income of $97,237, compared to $87,242 in Chester.
- In Penngrove, the percentage of married families is higher at 47.0%, compared to 42.0% in Chester.
- The poverty level is higher in Penngrove at 6%, compared to 5% in Chester.
- Penngrove has a higher unemployment rate at 4.2% compared to 3.5% in Chester.
Demographics
Demographics Chester vs Penngrove provide insight into the diversity of the communities to compare.
| Demographic | Chester | Penngrove |
|---|---|---|
| Black | 25 | Data is updating |
| White | 55 | 60 |
| Asian | 2 | 4 |
| Hispanic | 11 | 27 |
| Two or More Races | 6 | 9 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Chester vs Penngrove
- A higher percentage of Black residents are in Chester at 25% compared to 0% in Penngrove.
- The percentage of White residents is higher in Penngrove at 60% compared to 55% in Chester.
- In Penngrove, the Asian population stands at 4%, greater than 2% in Chester.
- Penngrove has a higher percentage of Hispanic residents at 27%, compared to 11% in Chester.
- The percentage of residents identifying as two or more races is higher in Penngrove at 9%, compared to 6% in Chester.
- A greater percentage of American Indian residents live in Chester at 1% compared to 0% in Penngrove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Penngrove |
|---|---|---|
| Mental Health Not Good | 16.6% | 16.6% |
| Physical Health Not Good | 10.0% | 10.5% |
| Depression | 21.3% | 21.9% |
| Smoking | 15.3% | 12.5% |
| Binge Drinking | 18.4% | 20.4% |
| Obesity | 36.5% | 28.8% |
| Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Chester vs Penngrove
- Poor mental health levels are equal in both Chester and Penngrove at 16.6%.
- Higher depression rates are seen in Penngrove at 21.9% versus 21.3% in Chester.
- Smoking is more prevalent in Chester at 15.3% compared to 12.5% in Penngrove.
- More residents engage in binge drinking in Penngrove at 20.4% compared to 18.4% in Chester.
- Obesity rates are higher in Chester at 36.5% compared to 28.8% in Penngrove.
- There is a higher percentage of disabled individuals in Penngrove at 18.0% compared to 11.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | Penngrove |
|---|---|---|
| No Schooling | 1.5% (344) | 1.0% (21) |
| High School Diploma | 16.8% (3,871) | 7.3% (160) |
| Less than High School | 11.9% (2,738) | 7.4% (162) |
| Bachelor's Degree and Higher | 22.3% (5,134) | 35.2% (769) |
Education Levels Comparison: Chester vs Penngrove
- A higher percentage of residents in Chester have no formal schooling at 1.5% compared to 1.0% in Penngrove.
- A higher percentage of residents in Chester hold a high school diploma at 16.8% compared to 7.3% in Penngrove.
- More residents in Chester have less than a high school education at 11.9% compared to 7.4% in Penngrove.
- In Penngrove, a larger share of residents have a bachelor's degree or higher at 35.2% compared to 22.3% 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.