Demographics details for Chester, VA vs Big bear lake, CA
Population Overview
Compare main population characteristics in Chester, VA vs Big bear lake, CA.
| Data | Chester | Big bear lake |
|---|---|---|
| Population | 23,068 | 5,031 |
| Median Age | 40.6 years | 47.5 years |
| Median Income | $87,242 | $70,020 |
| Married Families | 42.0% | 42.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Chester vs Big bear lake
- In Chester, the population is higher at 23,068, compared to 5,031 in Big bear lake.
- The median age in Big bear lake is higher at 47.5 years, compared to 40.6 years in Chester.
- Chester has a higher median income of $87,242 compared to $70,020 in Big bear lake.
- The percentage of married families is the same in both Chester and Big bear lake at 42.0%.
- The poverty level is higher in Big bear lake at 10%, compared to 5% in Chester.
- Big bear lake has a higher unemployment rate at 5.0% compared to 3.5% in Chester.
Demographics
Demographics Chester vs Big bear lake provide insight into the diversity of the communities to compare.
| Demographic | Chester | Big bear lake |
|---|---|---|
| Black | 25 | Data is updating |
| White | 55 | 50 |
| Asian | 2 | 3 |
| Hispanic | 11 | 30 |
| Two or More Races | 6 | 16 |
| American Indian | 1 | 1 |
Demographics Comparison: Chester vs Big bear lake
- A higher percentage of Black residents are in Chester at 25% compared to 0% in Big bear lake.
- Chester has a higher percentage of White residents at 55% compared to 50% in Big bear lake.
- In Big bear lake, the Asian population stands at 3%, greater than 2% in Chester.
- Big bear lake has a higher percentage of Hispanic residents at 30%, compared to 11% in Chester.
- The percentage of residents identifying as two or more races is higher in Big bear lake at 16%, compared to 6% in Chester.
- The percentage of American Indian residents is the same in both Chester and Big bear lake at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Big bear lake |
|---|---|---|
| Mental Health Not Good | 16.6% | 17.4% |
| Physical Health Not Good | 10.0% | 12.1% |
| Depression | 21.3% | 20.5% |
| Smoking | 15.3% | 14.1% |
| Binge Drinking | 18.4% | 17.0% |
| Obesity | 36.5% | 37.0% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Chester vs Big bear lake
- In Big bear lake, a higher percentage report poor mental health at 17.4% compared to 16.6% in Chester.
- Depression is more prevalent in Chester at 21.3% compared to 20.5% in Big bear lake.
- Smoking is more prevalent in Chester at 15.3% compared to 14.1% in Big bear lake.
- Binge drinking is more common in Chester at 18.4% compared to 17.0% in Big bear lake.
- Big bear lake has higher obesity rates at 37.0% compared to 36.5% in Chester.
- Disability percentages are higher in Chester at 11.0% compared to 9.0% in Big bear lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | Big bear lake |
|---|---|---|
| No Schooling | 1.5% (344) | 0.7% (37) |
| High School Diploma | 16.8% (3,871) | 16.4% (825) |
| Less than High School | 11.9% (2,738) | 12.6% (634) |
| Bachelor's Degree and Higher | 22.3% (5,134) | 25.7% (1,294) |
Education Levels Comparison: Chester vs Big bear lake
- A higher percentage of residents in Chester have no formal schooling at 1.5% compared to 0.7% in Big bear lake.
- A higher percentage of residents in Chester hold a high school diploma at 16.8% compared to 16.4% in Big bear lake.
- The percentage of residents with less than a high school education is higher in Big bear lake at 12.6%, compared to 11.9% in Chester.
- In Big bear lake, a larger share of residents have a bachelor's degree or higher at 25.7% 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.