Demographics details for Chester, VA vs Charlotte, TN
Population Overview
Compare main population characteristics in Chester, VA vs Charlotte, TN.
| Data | Chester | Charlotte |
|---|---|---|
| Population | 23,068 | 1,674 |
| Median Age | 40.6 years | 36.8 years |
| Median Income | $87,242 | $57,188 |
| Married Families | 42.0% | 46.0% |
| Poverty Level | 5% | 14% |
| Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Chester vs Charlotte
- In Chester, the population is higher at 23,068, compared to 1,674 in Charlotte.
- Residents in Chester have a higher median age of 40.6 years compared to 36.8 years in Charlotte.
- Chester has a higher median income of $87,242 compared to $57,188 in Charlotte.
- In Charlotte, the percentage of married families is higher at 46.0%, compared to 42.0% in Chester.
- The poverty level is higher in Charlotte at 14%, compared to 5% in Chester.
- Charlotte has a higher unemployment rate at 4.3% compared to 3.5% in Chester.
Demographics
Demographics Chester vs Charlotte provide insight into the diversity of the communities to compare.
| Demographic | Chester | Charlotte |
|---|---|---|
| Black | 25 | 6 |
| White | 55 | 82 |
| Asian | 2 | Data is updating |
| Hispanic | 11 | 4 |
| Two or More Races | 6 | 6 |
| American Indian | 1 | 2 |
Demographics Comparison: Chester vs Charlotte
- A higher percentage of Black residents are in Chester at 25% compared to 6% in Charlotte.
- The percentage of White residents is higher in Charlotte at 82% compared to 55% in Chester.
- The Asian population is larger in Chester at 2% compared to 0% in Charlotte.
- The Hispanic community is larger in Chester at 11% compared to 4% in Charlotte.
- Both Chester and Charlotte have the same percentage of residents identifying as two or more races at 6%.
- In Charlotte, the percentage of American Indian residents is higher at 2%, compared to 1% in Chester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Charlotte |
|---|---|---|
| Mental Health Not Good | 16.6% | 20.3% |
| Physical Health Not Good | 10.0% | 14.7% |
| Depression | 21.3% | 28.8% |
| Smoking | 15.3% | 25.3% |
| Binge Drinking | 18.4% | 16.0% |
| Obesity | 36.5% | 38.9% |
| Disability Percentage | 11.0% | 27.0% |
Health Statistics Comparison: Chester vs Charlotte
- In Charlotte, a higher percentage report poor mental health at 20.3% compared to 16.6% in Chester.
- Higher depression rates are seen in Charlotte at 28.8% versus 21.3% in Chester.
- Charlotte has a higher smoking rate at 25.3% compared to 15.3% in Chester.
- Binge drinking is more common in Chester at 18.4% compared to 16.0% in Charlotte.
- Charlotte has higher obesity rates at 38.9% compared to 36.5% in Chester.
- There is a higher percentage of disabled individuals in Charlotte at 27.0% 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 | Charlotte |
|---|---|---|
| No Schooling | 1.5% (344) | 0.4% (6) |
| High School Diploma | 16.8% (3,871) | 25.3% (424) |
| Less than High School | 11.9% (2,738) | 26.0% (436) |
| Bachelor's Degree and Higher | 22.3% (5,134) | 9.9% (166) |
Education Levels Comparison: Chester vs Charlotte
- A higher percentage of residents in Chester have no formal schooling at 1.5% compared to 0.4% in Charlotte.
- In Charlotte, the rate of residents with high school diplomas is higher at 25.3% compared to 16.8% in Chester.
- The percentage of residents with less than a high school education is higher in Charlotte at 26.0%, compared to 11.9% in Chester.
- A higher percentage of residents in Chester hold a bachelor's degree or higher at 22.3% compared to 9.9% in Charlotte.
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.