Demographics details for Chester, IL vs Tustin, CA
Population Overview
Compare main population characteristics in Chester, IL vs Tustin, CA.
| Data | Chester | Tustin |
|---|---|---|
| Population | 6,782 | 78,418 |
| Median Age | 43.2 years | 36.2 years |
| Median Income | $68,826 | $102,065 |
| Married Families | 29.0% | 40.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 4.5 | 4.0 |
Population Comparison: Chester vs Tustin
- The population in Tustin is higher at 78,418, compared to 6,782 in Chester.
- Residents in Chester have a higher median age of 43.2 years compared to 36.2 years in Tustin.
- Tustin has a higher median income of $102,065, compared to $68,826 in Chester.
- In Tustin, the percentage of married families is higher at 40.0%, compared to 29.0% in Chester.
- Chester has a higher poverty level at 10% compared to 8% in Tustin.
- The unemployment rate in Chester is higher at 4.5%, compared to 4.0% in Tustin.
Demographics
Demographics Chester vs Tustin provide insight into the diversity of the communities to compare.
| Demographic | Chester | Tustin |
|---|---|---|
| Black | 27 | 2 |
| White | 66 | 19 |
| Asian | Data is updating | 26 |
| Hispanic | 5 | 41 |
| Two or More Races | 2 | 11 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Chester vs Tustin
- A higher percentage of Black residents are in Chester at 27% compared to 2% in Tustin.
- Chester has a higher percentage of White residents at 66% compared to 19% in Tustin.
- In Tustin, the Asian population stands at 26%, greater than 0% in Chester.
- Tustin has a higher percentage of Hispanic residents at 41%, compared to 5% in Chester.
- The percentage of residents identifying as two or more races is higher in Tustin at 11%, compared to 2% in Chester.
- In Tustin, the percentage of American Indian residents is higher at 1%, compared to 0% in Chester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Tustin |
|---|---|---|
| Mental Health Not Good | 16.3% | 14.0% |
| Physical Health Not Good | 13.1% | 9.5% |
| Depression | 18.6% | 16.5% |
| Smoking | 22.6% | 9.4% |
| Binge Drinking | 17.6% | 15.8% |
| Obesity | 40.8% | 25.5% |
| Disability Percentage | 15.0% | 7.0% |
Health Statistics Comparison: Chester vs Tustin
- More residents in Chester report poor mental health at 16.3% compared to 14.0% in Tustin.
- Depression is more prevalent in Chester at 18.6% compared to 16.5% in Tustin.
- Smoking is more prevalent in Chester at 22.6% compared to 9.4% in Tustin.
- Binge drinking is more common in Chester at 17.6% compared to 15.8% in Tustin.
- Obesity rates are higher in Chester at 40.8% compared to 25.5% in Tustin.
- Disability percentages are higher in Chester at 15.0% compared to 7.0% in Tustin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | Tustin |
|---|---|---|
| No Schooling | 1.4% (97) | 2.8% (2,234) |
| High School Diploma | 23.9% (1,620) | 9.7% (7,595) |
| Less than High School | 35.1% (2,380) | 14.9% (11,700) |
| Bachelor's Degree and Higher | 6.6% (447) | 31.0% (24,275) |
Education Levels Comparison: Chester vs Tustin
- In Tustin, a larger percentage of residents lack formal schooling at 2.8% compared to 1.4% in Chester.
- A higher percentage of residents in Chester hold a high school diploma at 23.9% compared to 9.7% in Tustin.
- More residents in Chester have less than a high school education at 35.1% compared to 14.9% in Tustin.
- In Tustin, a larger share of residents have a bachelor's degree or higher at 31.0% 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.