Demographics details for Chester, IL vs Victoria, TX
Population Overview
Compare main population characteristics in Chester, IL vs Victoria, TX.
| Data | Chester | Victoria |
|---|---|---|
| Population | 6,782 | 65,372 |
| Median Age | 43.2 years | 34.7 years |
| Median Income | $68,826 | $64,832 |
| Married Families | 29.0% | 36.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 4.5 | 4.8 |
Population Comparison: Chester vs Victoria
- The population in Victoria is higher at 65,372, compared to 6,782 in Chester.
- Residents in Chester have a higher median age of 43.2 years compared to 34.7 years in Victoria.
- Chester has a higher median income of $68,826 compared to $64,832 in Victoria.
- In Victoria, the percentage of married families is higher at 36.0%, compared to 29.0% in Chester.
- The poverty level is higher in Victoria at 13%, compared to 10% in Chester.
- Victoria has a higher unemployment rate at 4.8% compared to 4.5% in Chester.
Demographics
Demographics Chester vs Victoria provide insight into the diversity of the communities to compare.
| Demographic | Chester | Victoria |
|---|---|---|
| Black | 27 | 7 |
| White | 66 | 14 |
| Asian | Data is updating | 2 |
| Hispanic | 5 | 56 |
| Two or More Races | 2 | 21 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Chester vs Victoria
- A higher percentage of Black residents are in Chester at 27% compared to 7% in Victoria.
- Chester has a higher percentage of White residents at 66% compared to 14% in Victoria.
- In Victoria, the Asian population stands at 2%, greater than 0% in Chester.
- Victoria has a higher percentage of Hispanic residents at 56%, compared to 5% in Chester.
- The percentage of residents identifying as two or more races is higher in Victoria at 21%, compared to 2% in Chester.
- The percentage of American Indian residents is the same in both Chester and Victoria at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Victoria |
|---|---|---|
| Mental Health Not Good | 16.3% | 18.0% |
| Physical Health Not Good | 13.1% | 13.1% |
| Depression | 18.6% | 23.2% |
| Smoking | 22.6% | 17.6% |
| Binge Drinking | 17.6% | 17.0% |
| Obesity | 40.8% | 41.7% |
| Disability Percentage | 15.0% | 15.0% |
Health Statistics Comparison: Chester vs Victoria
- In Victoria, a higher percentage report poor mental health at 18.0% compared to 16.3% in Chester.
- Higher depression rates are seen in Victoria at 23.2% versus 18.6% in Chester.
- Smoking is more prevalent in Chester at 22.6% compared to 17.6% in Victoria.
- Binge drinking is more common in Chester at 17.6% compared to 17.0% in Victoria.
- Victoria has higher obesity rates at 41.7% compared to 40.8% in Chester.
- Disability percentages are the same in both Chester and Victoria at 15.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | Victoria |
|---|---|---|
| No Schooling | 1.4% (97) | 1.4% (904) |
| High School Diploma | 23.9% (1,620) | 16.1% (10,544) |
| Less than High School | 35.1% (2,380) | 21.7% (14,173) |
| Bachelor's Degree and Higher | 6.6% (447) | 12.4% (8,078) |
Education Levels Comparison: Chester vs Victoria
- The percentage of residents with no formal schooling is the same in both Chester and Victoria at 1.4%.
- A higher percentage of residents in Chester hold a high school diploma at 23.9% compared to 16.1% in Victoria.
- More residents in Chester have less than a high school education at 35.1% compared to 21.7% in Victoria.
- In Victoria, a larger share of residents have a bachelor's degree or higher at 12.4% compared to 6.6% 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.