Demographics details for League city, TX vs Chester, IL
Population Overview
Compare main population characteristics in League city, TX vs Chester, IL.
| Data | League city | Chester |
|---|---|---|
| Population | 115,418 | 6,782 |
| Median Age | 37.1 years | 43.2 years |
| Median Income | $117,316 | $68,826 |
| Married Families | 48.0% | 29.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 3.8 | 4.5 |
Population Comparison: League city vs Chester
- In League city, the population is higher at 115,418, compared to 6,782 in Chester.
- The median age in Chester is higher at 43.2 years, compared to 37.1 years in League city.
- League city has a higher median income of $117,316 compared to $68,826 in Chester.
- A higher percentage of married families is found in League city at 48.0% compared to 29.0% in Chester.
- The poverty level is higher in Chester at 10%, compared to 6% in League city.
- Chester has a higher unemployment rate at 4.5% compared to 3.8% in League city.
Demographics
Demographics League city vs Chester provide insight into the diversity of the communities to compare.
| Demographic | League city | Chester |
|---|---|---|
| Black | 8 | 27 |
| White | 57 | 66 |
| Asian | 6 | Data is updating |
| Hispanic | 19 | 5 |
| Two or More Races | 10 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: League city vs Chester
- In Chester, the percentage of Black residents is higher at 27% compared to 8% in League city.
- The percentage of White residents is higher in Chester at 66% compared to 57% in League city.
- The Asian population is larger in League city at 6% compared to 0% in Chester.
- The Hispanic community is larger in League city at 19% compared to 5% in Chester.
- More residents identify as two or more races in League city at 10% compared to 2% in Chester.
- The percentage of American Indian residents is the same in both League city and Chester at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | League city | Chester |
|---|---|---|
| Mental Health Not Good | 14.1% | 16.3% |
| Physical Health Not Good | 8.6% | 13.1% |
| Depression | 21.0% | 18.6% |
| Smoking | 11.2% | 22.6% |
| Binge Drinking | 19.5% | 17.6% |
| Obesity | 30.4% | 40.8% |
| Disability Percentage | 9.0% | 15.0% |
Health Statistics Comparison: League city vs Chester
- In Chester, a higher percentage report poor mental health at 16.3% compared to 14.1% in League city.
- Depression is more prevalent in League city at 21.0% compared to 18.6% in Chester.
- Chester has a higher smoking rate at 22.6% compared to 11.2% in League city.
- Binge drinking is more common in League city at 19.5% compared to 17.6% in Chester.
- Chester has higher obesity rates at 40.8% compared to 30.4% in League city.
- There is a higher percentage of disabled individuals in Chester at 15.0% compared to 9.0% in League city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | League city | Chester |
|---|---|---|
| No Schooling | 0.5% (597) | 1.4% (97) |
| High School Diploma | 8.9% (10,242) | 23.9% (1,620) |
| Less than High School | 4.9% (5,692) | 35.1% (2,380) |
| Bachelor's Degree and Higher | 31.5% (36,360) | 6.6% (447) |
Education Levels Comparison: League city vs Chester
- In Chester, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in League city.
- In Chester, the rate of residents with high school diplomas is higher at 23.9% compared to 8.9% in League city.
- The percentage of residents with less than a high school education is higher in Chester at 35.1%, compared to 4.9% in League city.
- A higher percentage of residents in League city hold a bachelor's degree or higher at 31.5% 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.