Demographics details for Bowling green, FL vs Lebanon, MO
Population Overview
Compare main population characteristics in Bowling green, FL vs Lebanon, MO.
| Data | Bowling green | Lebanon |
|---|---|---|
| Population | 2,433 | 15,232 |
| Median Age | 26.9 years | 35.1 years |
| Median Income | $46,429 | $45,634 |
| Married Families | 34.0% | 33.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 3.6 | 3.5 |
Population Comparison: Bowling green vs Lebanon
- The population in Lebanon is higher at 15,232, compared to 2,433 in Bowling green.
- The median age in Lebanon is higher at 35.1 years, compared to 26.9 years in Bowling green.
- Bowling green has a higher median income of $46,429 compared to $45,634 in Lebanon.
- A higher percentage of married families is found in Bowling green at 34.0% compared to 33.0% in Lebanon.
- The poverty level is higher in Lebanon at 12%, compared to 0% in Bowling green.
- The unemployment rate in Bowling green is higher at 3.6%, compared to 3.5% in Lebanon.
Demographics
Demographics Bowling green vs Lebanon provide insight into the diversity of the communities to compare.
| Demographic | Bowling green | Lebanon |
|---|---|---|
| Black | 5 | 1 |
| White | 19 | 87 |
| Asian | Data is updating | 1 |
| Hispanic | 52 | 4 |
| Two or More Races | 24 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bowling green vs Lebanon
- A higher percentage of Black residents are in Bowling green at 5% compared to 1% in Lebanon.
- The percentage of White residents is higher in Lebanon at 87% compared to 19% in Bowling green.
- In Lebanon, the Asian population stands at 1%, greater than 0% in Bowling green.
- The Hispanic community is larger in Bowling green at 52% compared to 4% in Lebanon.
- More residents identify as two or more races in Bowling green at 24% compared to 6% in Lebanon.
- In Lebanon, the percentage of American Indian residents is higher at 1%, compared to 0% in Bowling green.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bowling green | Lebanon |
|---|---|---|
| Mental Health Not Good | 17.8% | 19.4% |
| Physical Health Not Good | 16.1% | 14.1% |
| Depression | 19.8% | 24.9% |
| Smoking | 25.0% | 23.6% |
| Binge Drinking | 14.0% | 16.5% |
| Obesity | 41.5% | 38.8% |
| Disability Percentage | 12.0% | 19.0% |
Health Statistics Comparison: Bowling green vs Lebanon
- In Lebanon, a higher percentage report poor mental health at 19.4% compared to 17.8% in Bowling green.
- Higher depression rates are seen in Lebanon at 24.9% versus 19.8% in Bowling green.
- Smoking is more prevalent in Bowling green at 25.0% compared to 23.6% in Lebanon.
- More residents engage in binge drinking in Lebanon at 16.5% compared to 14.0% in Bowling green.
- Obesity rates are higher in Bowling green at 41.5% compared to 38.8% in Lebanon.
- There is a higher percentage of disabled individuals in Lebanon at 19.0% compared to 12.0% in Bowling green.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bowling green | Lebanon |
|---|---|---|
| No Schooling | 3.3% (81) | 0.6% (90) |
| High School Diploma | 20.2% (492) | 18.8% (2,870) |
| Less than High School | 26.8% (652) | 18.3% (2,795) |
| Bachelor's Degree and Higher | 5.5% (134) | 11.2% (1,707) |
Education Levels Comparison: Bowling green vs Lebanon
- A higher percentage of residents in Bowling green have no formal schooling at 3.3% compared to 0.6% in Lebanon.
- A higher percentage of residents in Bowling green hold a high school diploma at 20.2% compared to 18.8% in Lebanon.
- More residents in Bowling green have less than a high school education at 26.8% compared to 18.3% in Lebanon.
- In Lebanon, a larger share of residents have a bachelor's degree or higher at 11.2% compared to 5.5% in Bowling 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.