Demographics details for League city, TX vs Lebanon, TN
Population Overview
Compare main population characteristics in League city, TX vs Lebanon, TN.
Data | League city | Lebanon |
---|---|---|
Population | 115,418 | 44,166 |
Median Age | 37.1 years | 35.6 years |
Median Income | $117,316 | $63,698 |
Married Families | 48.0% | 33.0% |
Poverty Level | 6% | 9% |
Unemployment Rate | 3.8 | 3.5 |
Population Comparison: League city vs Lebanon
- In League city, the population is higher at 115,418, compared to 44,166 in Lebanon.
- Residents in League city have a higher median age of 37.1 years compared to 35.6 years in Lebanon.
- League city has a higher median income of $117,316 compared to $63,698 in Lebanon.
- A higher percentage of married families is found in League city at 48.0% compared to 33.0% in Lebanon.
- The poverty level is higher in Lebanon at 9%, compared to 6% in League city.
- The unemployment rate in League city is higher at 3.8%, compared to 3.5% in Lebanon.
Demographics
Demographics League city vs Lebanon provide insight into the diversity of the communities to compare.
Demographic | League city | Lebanon |
---|---|---|
Black | 8 | 10 |
White | 57 | 76 |
Asian | 6 | 1 |
Hispanic | 19 | 6 |
Two or More Races | 10 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: League city vs Lebanon
- In Lebanon, the percentage of Black residents is higher at 10% compared to 8% in League city.
- The percentage of White residents is higher in Lebanon at 76% compared to 57% in League city.
- The Asian population is larger in League city at 6% compared to 1% in Lebanon.
- The Hispanic community is larger in League city at 19% compared to 6% in Lebanon.
- More residents identify as two or more races in League city at 10% compared to 7% in Lebanon.
- The percentage of American Indian residents is the same in both League city and Lebanon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | League city | Lebanon |
---|---|---|
Mental Health Not Good | 14.1% | 18.8% |
Physical Health Not Good | 8.6% | 13.2% |
Depression | 21.0% | 27.5% |
Smoking | 11.2% | 21.4% |
Binge Drinking | 19.5% | 15.3% |
Obesity | 30.4% | 34.4% |
Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: League city vs Lebanon
- In Lebanon, a higher percentage report poor mental health at 18.8% compared to 14.1% in League city.
- Higher depression rates are seen in Lebanon at 27.5% versus 21.0% in League city.
- Lebanon has a higher smoking rate at 21.4% compared to 11.2% in League city.
- Binge drinking is more common in League city at 19.5% compared to 15.3% in Lebanon.
- Lebanon has higher obesity rates at 34.4% compared to 30.4% in League city.
- There is a higher percentage of disabled individuals in Lebanon at 12.0% 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 | Lebanon |
---|---|---|
No Schooling | 0.5% (597) | 0.5% (228) |
High School Diploma | 8.9% (10,242) | 16.2% (7,138) |
Less than High School | 4.9% (5,692) | 9.6% (4,258) |
Bachelor's Degree and Higher | 31.5% (36,360) | 18.2% (8,041) |
Education Levels Comparison: League city vs Lebanon
- The percentage of residents with no formal schooling is the same in both League city and Lebanon at 0.5%.
- In Lebanon, the rate of residents with high school diplomas is higher at 16.2% compared to 8.9% in League city.
- The percentage of residents with less than a high school education is higher in Lebanon at 9.6%, 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 18.2% in Lebanon.
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.