Demographics details for League city, TX vs Green, OH
Population Overview
Compare main population characteristics in League city, TX vs Green, OH.
| Data | League city | Green |
|---|---|---|
| Population | 115,418 | 27,269 |
| Median Age | 37.1 years | 41.1 years |
| Median Income | $117,316 | $90,419 |
| Married Families | 48.0% | 45.0% |
| Poverty Level | 6% | 4% |
| Unemployment Rate | 3.8 | 4.7 |
Population Comparison: League city vs Green
- In League city, the population is higher at 115,418, compared to 27,269 in Green.
- The median age in Green is higher at 41.1 years, compared to 37.1 years in League city.
- League city has a higher median income of $117,316 compared to $90,419 in Green.
- A higher percentage of married families is found in League city at 48.0% compared to 45.0% in Green.
- League city has a higher poverty level at 6% compared to 4% in Green.
- Green has a higher unemployment rate at 4.7% compared to 3.8% in League city.
Demographics
Demographics League city vs Green provide insight into the diversity of the communities to compare.
| Demographic | League city | Green |
|---|---|---|
| Black | 8 | 1 |
| White | 57 | 94 |
| Asian | 6 | 1 |
| Hispanic | 19 | 1 |
| Two or More Races | 10 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: League city vs Green
- A higher percentage of Black residents are in League city at 8% compared to 1% in Green.
- The percentage of White residents is higher in Green at 94% compared to 57% in League city.
- The Asian population is larger in League city at 6% compared to 1% in Green.
- The Hispanic community is larger in League city at 19% compared to 1% in Green.
- More residents identify as two or more races in League city at 10% compared to 3% in Green.
- The percentage of American Indian residents is the same in both League city and Green at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | League city | Green |
|---|---|---|
| Mental Health Not Good | 14.1% | 16.6% |
| Physical Health Not Good | 8.6% | 10.5% |
| Depression | 21.0% | 24.7% |
| Smoking | 11.2% | 17.4% |
| Binge Drinking | 19.5% | 19.1% |
| Obesity | 30.4% | 40.2% |
| Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: League city vs Green
- In Green, a higher percentage report poor mental health at 16.6% compared to 14.1% in League city.
- Higher depression rates are seen in Green at 24.7% versus 21.0% in League city.
- Green has a higher smoking rate at 17.4% compared to 11.2% in League city.
- Binge drinking is more common in League city at 19.5% compared to 19.1% in Green.
- Green has higher obesity rates at 40.2% compared to 30.4% in League city.
- Disability percentages are the same in both League city and Green at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | League city | Green |
|---|---|---|
| No Schooling | 0.5% (597) | 0.2% (46) |
| High School Diploma | 8.9% (10,242) | 16.6% (4,514) |
| Less than High School | 4.9% (5,692) | 3.0% (828) |
| Bachelor's Degree and Higher | 31.5% (36,360) | 29.3% (7,977) |
Education Levels Comparison: League city vs Green
- A higher percentage of residents in League city have no formal schooling at 0.5% compared to 0.2% in Green.
- In Green, the rate of residents with high school diplomas is higher at 16.6% compared to 8.9% in League city.
- More residents in League city have less than a high school education at 4.9% compared to 3.0% in Green.
- A higher percentage of residents in League city hold a bachelor's degree or higher at 31.5% compared to 29.3% in Green.
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.