Demographics details for League city, TX vs Deerfield, IL
Population Overview
Compare main population characteristics in League city, TX vs Deerfield, IL.
| Data | League city | Deerfield |
|---|---|---|
| Population | 115,418 | 18,950 |
| Median Age | 37.1 years | 44.6 years |
| Median Income | $117,316 | $185,762 |
| Married Families | 48.0% | 53.0% |
| Poverty Level | 6% | 3% |
| Unemployment Rate | 3.8 | 3.1 |
Population Comparison: League city vs Deerfield
- In League city, the population is higher at 115,418, compared to 18,950 in Deerfield.
- The median age in Deerfield is higher at 44.6 years, compared to 37.1 years in League city.
- Deerfield has a higher median income of $185,762, compared to $117,316 in League city.
- In Deerfield, the percentage of married families is higher at 53.0%, compared to 48.0% in League city.
- League city has a higher poverty level at 6% compared to 3% in Deerfield.
- The unemployment rate in League city is higher at 3.8%, compared to 3.1% in Deerfield.
Demographics
Demographics League city vs Deerfield provide insight into the diversity of the communities to compare.
| Demographic | League city | Deerfield |
|---|---|---|
| Black | 8 | Data is updating |
| White | 57 | 87 |
| Asian | 6 | 5 |
| Hispanic | 19 | 5 |
| Two or More Races | 10 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: League city vs Deerfield
- A higher percentage of Black residents are in League city at 8% compared to 0% in Deerfield.
- The percentage of White residents is higher in Deerfield at 87% compared to 57% in League city.
- The Asian population is larger in League city at 6% compared to 5% in Deerfield.
- The Hispanic community is larger in League city at 19% compared to 5% in Deerfield.
- More residents identify as two or more races in League city at 10% compared to 3% in Deerfield.
- The percentage of American Indian residents is the same in both League city and Deerfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | League city | Deerfield |
|---|---|---|
| Mental Health Not Good | 14.1% | 11.9% |
| Physical Health Not Good | 8.6% | 6.6% |
| Depression | 21.0% | 17.8% |
| Smoking | 11.2% | 7.8% |
| Binge Drinking | 19.5% | 19.7% |
| Obesity | 30.4% | 26.9% |
| Disability Percentage | 9.0% | 8.0% |
Health Statistics Comparison: League city vs Deerfield
- More residents in League city report poor mental health at 14.1% compared to 11.9% in Deerfield.
- Depression is more prevalent in League city at 21.0% compared to 17.8% in Deerfield.
- Smoking is more prevalent in League city at 11.2% compared to 7.8% in Deerfield.
- More residents engage in binge drinking in Deerfield at 19.7% compared to 19.5% in League city.
- Obesity rates are higher in League city at 30.4% compared to 26.9% in Deerfield.
- Disability percentages are higher in League city at 9.0% compared to 8.0% in Deerfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | League city | Deerfield |
|---|---|---|
| No Schooling | 0.5% (597) | 0.0% (Data is updating) |
| High School Diploma | 8.9% (10,242) | 2.6% (493) |
| Less than High School | 4.9% (5,692) | 1.9% (363) |
| Bachelor's Degree and Higher | 31.5% (36,360) | 56.9% (10,784) |
Education Levels Comparison: League city vs Deerfield
- A higher percentage of residents in League city have no formal schooling at 0.5% compared to 0.0% in Deerfield.
- A higher percentage of residents in League city hold a high school diploma at 8.9% compared to 2.6% in Deerfield.
- More residents in League city have less than a high school education at 4.9% compared to 1.9% in Deerfield.
- In Deerfield, a larger share of residents have a bachelor's degree or higher at 56.9% compared to 31.5% in League 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.