Demographics details for Chester, VA vs Scott city, MO
Population Overview
Compare main population characteristics in Chester, VA vs Scott city, MO.
| Data | Chester | Scott city |
|---|---|---|
| Population | 23,068 | 4,350 |
| Median Age | 40.6 years | 40.1 years |
| Median Income | $87,242 | $57,771 |
| Married Families | 42.0% | 43.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Chester vs Scott city
- In Chester, the population is higher at 23,068, compared to 4,350 in Scott city.
- Residents in Chester have a higher median age of 40.6 years compared to 40.1 years in Scott city.
- Chester has a higher median income of $87,242 compared to $57,771 in Scott city.
- In Scott city, the percentage of married families is higher at 43.0%, compared to 42.0% in Chester.
- The poverty level is higher in Scott city at 9%, compared to 5% in Chester.
- The unemployment rate in Chester is higher at 3.5%, compared to 3.2% in Scott city.
Demographics
Demographics Chester vs Scott city provide insight into the diversity of the communities to compare.
| Demographic | Chester | Scott city |
|---|---|---|
| Black | 25 | Data is updating |
| White | 55 | 92 |
| Asian | 2 | Data is updating |
| Hispanic | 11 | 3 |
| Two or More Races | 6 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Chester vs Scott city
- A higher percentage of Black residents are in Chester at 25% compared to 0% in Scott city.
- The percentage of White residents is higher in Scott city at 92% compared to 55% in Chester.
- The Asian population is larger in Chester at 2% compared to 0% in Scott city.
- The Hispanic community is larger in Chester at 11% compared to 3% in Scott city.
- More residents identify as two or more races in Chester at 6% compared to 5% in Scott city.
- A greater percentage of American Indian residents live in Chester at 1% compared to 0% in Scott city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Scott city |
|---|---|---|
| Mental Health Not Good | 16.6% | 20.9% |
| Physical Health Not Good | 10.0% | 15.5% |
| Depression | 21.3% | 27.3% |
| Smoking | 15.3% | 26.0% |
| Binge Drinking | 18.4% | 17.0% |
| Obesity | 36.5% | 37.0% |
| Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Chester vs Scott city
- In Scott city, a higher percentage report poor mental health at 20.9% compared to 16.6% in Chester.
- Higher depression rates are seen in Scott city at 27.3% versus 21.3% in Chester.
- Scott city has a higher smoking rate at 26.0% compared to 15.3% in Chester.
- Binge drinking is more common in Chester at 18.4% compared to 17.0% in Scott city.
- Scott city has higher obesity rates at 37.0% compared to 36.5% in Chester.
- There is a higher percentage of disabled individuals in Scott city at 16.0% 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 | Scott city |
|---|---|---|
| No Schooling | 1.5% (344) | 0.4% (18) |
| High School Diploma | 16.8% (3,871) | 20.4% (886) |
| Less than High School | 11.9% (2,738) | 23.8% (1,035) |
| Bachelor's Degree and Higher | 22.3% (5,134) | 10.9% (474) |
Education Levels Comparison: Chester vs Scott city
- A higher percentage of residents in Chester have no formal schooling at 1.5% compared to 0.4% in Scott city.
- In Scott city, the rate of residents with high school diplomas is higher at 20.4% compared to 16.8% in Chester.
- The percentage of residents with less than a high school education is higher in Scott city at 23.8%, 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 10.9% in Scott city.
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.