Demographics details for Chester, VA vs Mount vernon, KY
Population Overview
Compare main population characteristics in Chester, VA vs Mount vernon, KY.
| Data | Chester | Mount vernon |
|---|---|---|
| Population | 23,068 | 2,472 |
| Median Age | 40.6 years | 45.4 years |
| Median Income | $87,242 | $34,550 |
| Married Families | 42.0% | 36.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Chester vs Mount vernon
- In Chester, the population is higher at 23,068, compared to 2,472 in Mount vernon.
- The median age in Mount vernon is higher at 45.4 years, compared to 40.6 years in Chester.
- Chester has a higher median income of $87,242 compared to $34,550 in Mount vernon.
- A higher percentage of married families is found in Chester at 42.0% compared to 36.0% in Mount vernon.
- The poverty level is higher in Mount vernon at 15%, compared to 5% in Chester.
- Mount vernon has a higher unemployment rate at 4.2% compared to 3.5% in Chester.
Demographics
Demographics Chester vs Mount vernon provide insight into the diversity of the communities to compare.
| Demographic | Chester | Mount vernon |
|---|---|---|
| Black | 25 | Data is updating |
| White | 55 | 94 |
| Asian | 2 | Data is updating |
| Hispanic | 11 | Data is updating |
| Two or More Races | 6 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Chester vs Mount vernon
- A higher percentage of Black residents are in Chester at 25% compared to 0% in Mount vernon.
- The percentage of White residents is higher in Mount vernon at 94% compared to 55% in Chester.
- The Asian population is larger in Chester at 2% compared to 0% in Mount vernon.
- The Hispanic community is larger in Chester at 11% compared to 0% in Mount vernon.
- Both Chester and Mount vernon have the same percentage of residents identifying as two or more races at 6%.
- A greater percentage of American Indian residents live in Chester at 1% compared to 0% in Mount vernon.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Mount vernon |
|---|---|---|
| Mental Health Not Good | 16.6% | 21.3% |
| Physical Health Not Good | 10.0% | 16.3% |
| Depression | 21.3% | 30.7% |
| Smoking | 15.3% | 26.1% |
| Binge Drinking | 18.4% | 14.3% |
| Obesity | 36.5% | 43.2% |
| Disability Percentage | 11.0% | 23.0% |
Health Statistics Comparison: Chester vs Mount vernon
- In Mount vernon, a higher percentage report poor mental health at 21.3% compared to 16.6% in Chester.
- Higher depression rates are seen in Mount vernon at 30.7% versus 21.3% in Chester.
- Mount vernon has a higher smoking rate at 26.1% compared to 15.3% in Chester.
- Binge drinking is more common in Chester at 18.4% compared to 14.3% in Mount vernon.
- Mount vernon has higher obesity rates at 43.2% compared to 36.5% in Chester.
- There is a higher percentage of disabled individuals in Mount vernon at 23.0% 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 | Mount vernon |
|---|---|---|
| No Schooling | 1.5% (344) | 0.5% (12) |
| High School Diploma | 16.8% (3,871) | 17.4% (431) |
| Less than High School | 11.9% (2,738) | 32.8% (810) |
| Bachelor's Degree and Higher | 22.3% (5,134) | 7.4% (183) |
Education Levels Comparison: Chester vs Mount vernon
- A higher percentage of residents in Chester have no formal schooling at 1.5% compared to 0.5% in Mount vernon.
- In Mount vernon, the rate of residents with high school diplomas is higher at 17.4% compared to 16.8% in Chester.
- The percentage of residents with less than a high school education is higher in Mount vernon at 32.8%, 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 7.4% in Mount vernon.
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.