Demographics details for Chester, VA vs Leonard, MO
Population Overview
Compare main population characteristics in Chester, VA vs Leonard, MO.
| Data | Chester | Leonard |
|---|---|---|
| Population | 23,068 | 57 |
| Median Age | 40.6 years | 44.3 years |
| Median Income | $87,242 | $59,688 |
| Married Families | 42.0% | 51.0% |
| Poverty Level | 5% | 8% |
| Unemployment Rate | 3.5 | 3.8 |
Population Comparison: Chester vs Leonard
- In Chester, the population is higher at 23,068, compared to 57 in Leonard.
- The median age in Leonard is higher at 44.3 years, compared to 40.6 years in Chester.
- Chester has a higher median income of $87,242 compared to $59,688 in Leonard.
- In Leonard, the percentage of married families is higher at 51.0%, compared to 42.0% in Chester.
- The poverty level is higher in Leonard at 8%, compared to 5% in Chester.
- Leonard has a higher unemployment rate at 3.8% compared to 3.5% in Chester.
Demographics
Demographics Chester vs Leonard provide insight into the diversity of the communities to compare.
| Demographic | Chester | Leonard |
|---|---|---|
| Black | 25 | Data is updating |
| White | 55 | 100 |
| Asian | 2 | Data is updating |
| Hispanic | 11 | Data is updating |
| Two or More Races | 6 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Chester vs Leonard
- A higher percentage of Black residents are in Chester at 25% compared to 0% in Leonard.
- The percentage of White residents is higher in Leonard at 100% compared to 55% in Chester.
- The Asian population is larger in Chester at 2% compared to 0% in Leonard.
- The Hispanic community is larger in Chester at 11% compared to 0% in Leonard.
- More residents identify as two or more races in Chester at 6% compared to 0% in Leonard.
- A greater percentage of American Indian residents live in Chester at 1% compared to 0% in Leonard.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Leonard |
|---|---|---|
| Mental Health Not Good | 16.6% | 17.4% |
| Physical Health Not Good | 10.0% | 17.0% |
| Depression | 21.3% | 25.3% |
| Smoking | 15.3% | 22.9% |
| Binge Drinking | 18.4% | 12.9% |
| Obesity | 36.5% | 40.2% |
| Disability Percentage | 11.0% | 4.0% |
Health Statistics Comparison: Chester vs Leonard
- In Leonard, a higher percentage report poor mental health at 17.4% compared to 16.6% in Chester.
- Higher depression rates are seen in Leonard at 25.3% versus 21.3% in Chester.
- Leonard has a higher smoking rate at 22.9% compared to 15.3% in Chester.
- Binge drinking is more common in Chester at 18.4% compared to 12.9% in Leonard.
- Leonard has higher obesity rates at 40.2% compared to 36.5% in Chester.
- Disability percentages are higher in Chester at 11.0% compared to 4.0% in Leonard.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | Leonard |
|---|---|---|
| No Schooling | 1.5% (344) | 3.5% (2) |
| High School Diploma | 16.8% (3,871) | 22.8% (13) |
| Less than High School | 11.9% (2,738) | 7.0% (4) |
| Bachelor's Degree and Higher | 22.3% (5,134) | 21.1% (12) |
Education Levels Comparison: Chester vs Leonard
- In Leonard, a larger percentage of residents lack formal schooling at 3.5% compared to 1.5% in Chester.
- In Leonard, the rate of residents with high school diplomas is higher at 22.8% compared to 16.8% in Chester.
- More residents in Chester have less than a high school education at 11.9% compared to 7.0% in Leonard.
- A higher percentage of residents in Chester hold a bachelor's degree or higher at 22.3% compared to 21.1% in Leonard.
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.