Demographics details for Lebanon, TN vs Flower mound, TX
Population Overview
Compare main population characteristics in Lebanon, TN vs Flower mound, TX.
| Data | Lebanon | Flower mound |
|---|---|---|
| Population | 44,166 | 78,486 |
| Median Age | 35.6 years | 42.6 years |
| Median Income | $63,698 | $154,471 |
| Married Families | 33.0% | 51.0% |
| Poverty Level | 9% | 4% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Lebanon vs Flower mound
- The population in Flower mound is higher at 78,486, compared to 44,166 in Lebanon.
- The median age in Flower mound is higher at 42.6 years, compared to 35.6 years in Lebanon.
- Flower mound has a higher median income of $154,471, compared to $63,698 in Lebanon.
- In Flower mound, the percentage of married families is higher at 51.0%, compared to 33.0% in Lebanon.
- Lebanon has a higher poverty level at 9% compared to 4% in Flower mound.
- Flower mound has a higher unemployment rate at 3.7% compared to 3.5% in Lebanon.
Demographics
Demographics Lebanon vs Flower mound provide insight into the diversity of the communities to compare.
| Demographic | Lebanon | Flower mound |
|---|---|---|
| Black | 10 | 3 |
| White | 76 | 66 |
| Asian | 1 | 13 |
| Hispanic | 6 | 11 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lebanon vs Flower mound
- A higher percentage of Black residents are in Lebanon at 10% compared to 3% in Flower mound.
- Lebanon has a higher percentage of White residents at 76% compared to 66% in Flower mound.
- In Flower mound, the Asian population stands at 13%, greater than 1% in Lebanon.
- Flower mound has a higher percentage of Hispanic residents at 11%, compared to 6% in Lebanon.
- Both Lebanon and Flower mound have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both Lebanon and Flower mound at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lebanon | Flower mound |
|---|---|---|
| Mental Health Not Good | 18.8% | 13.3% |
| Physical Health Not Good | 13.2% | 7.7% |
| Depression | 27.5% | 21.1% |
| Smoking | 21.4% | 9.5% |
| Binge Drinking | 15.3% | 19.7% |
| Obesity | 34.4% | 28.5% |
| Disability Percentage | 12.0% | 6.0% |
Health Statistics Comparison: Lebanon vs Flower mound
- More residents in Lebanon report poor mental health at 18.8% compared to 13.3% in Flower mound.
- Depression is more prevalent in Lebanon at 27.5% compared to 21.1% in Flower mound.
- Smoking is more prevalent in Lebanon at 21.4% compared to 9.5% in Flower mound.
- More residents engage in binge drinking in Flower mound at 19.7% compared to 15.3% in Lebanon.
- Obesity rates are higher in Lebanon at 34.4% compared to 28.5% in Flower mound.
- Disability percentages are higher in Lebanon at 12.0% compared to 6.0% in Flower mound.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lebanon | Flower mound |
|---|---|---|
| No Schooling | 0.5% (228) | 0.7% (519) |
| High School Diploma | 16.2% (7,138) | 6.2% (4,886) |
| Less than High School | 9.6% (4,258) | 2.7% (2,090) |
| Bachelor's Degree and Higher | 18.2% (8,041) | 42.3% (33,161) |
Education Levels Comparison: Lebanon vs Flower mound
- In Flower mound, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Lebanon.
- A higher percentage of residents in Lebanon hold a high school diploma at 16.2% compared to 6.2% in Flower mound.
- More residents in Lebanon have less than a high school education at 9.6% compared to 2.7% in Flower mound.
- In Flower mound, a larger share of residents have a bachelor's degree or higher at 42.3% 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.