Demographics details for Lebanon, TN vs Monrovia, IN
Population Overview
Compare main population characteristics in Lebanon, TN vs Monrovia, IN.
| Data | Lebanon | Monrovia |
|---|---|---|
| Population | 44,166 | 1,954 |
| Median Age | 35.6 years | 30.2 years |
| Median Income | $63,698 | $84,688 |
| Married Families | 33.0% | 30.0% |
| Poverty Level | 9% | 5% |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Lebanon vs Monrovia
- In Lebanon, the population is higher at 44,166, compared to 1,954 in Monrovia.
- Residents in Lebanon have a higher median age of 35.6 years compared to 30.2 years in Monrovia.
- Monrovia has a higher median income of $84,688, compared to $63,698 in Lebanon.
- A higher percentage of married families is found in Lebanon at 33.0% compared to 30.0% in Monrovia.
- Lebanon has a higher poverty level at 9% compared to 5% in Monrovia.
- The unemployment rate in Lebanon is higher at 3.5%, compared to 2.5% in Monrovia.
Demographics
Demographics Lebanon vs Monrovia provide insight into the diversity of the communities to compare.
| Demographic | Lebanon | Monrovia |
|---|---|---|
| Black | 10 | 3 |
| White | 76 | 88 |
| Asian | 1 | 1 |
| Hispanic | 6 | 1 |
| Two or More Races | 7 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lebanon vs Monrovia
- A higher percentage of Black residents are in Lebanon at 10% compared to 3% in Monrovia.
- The percentage of White residents is higher in Monrovia at 88% compared to 76% in Lebanon.
- Both Lebanon and Monrovia have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Lebanon at 6% compared to 1% in Monrovia.
- Both Lebanon and Monrovia 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 Monrovia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lebanon | Monrovia |
|---|---|---|
| Mental Health Not Good | 18.8% | 16.7% |
| Physical Health Not Good | 13.2% | 10.6% |
| Depression | 27.5% | 26.0% |
| Smoking | 21.4% | 18.3% |
| Binge Drinking | 15.3% | 19.4% |
| Obesity | 34.4% | 36.3% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Lebanon vs Monrovia
- More residents in Lebanon report poor mental health at 18.8% compared to 16.7% in Monrovia.
- Depression is more prevalent in Lebanon at 27.5% compared to 26.0% in Monrovia.
- Smoking is more prevalent in Lebanon at 21.4% compared to 18.3% in Monrovia.
- More residents engage in binge drinking in Monrovia at 19.4% compared to 15.3% in Lebanon.
- Monrovia has higher obesity rates at 36.3% compared to 34.4% in Lebanon.
- Disability percentages are higher in Lebanon at 12.0% compared to 11.0% in Monrovia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lebanon | Monrovia |
|---|---|---|
| No Schooling | 0.5% (228) | 0.0% (Data is updating) |
| High School Diploma | 16.2% (7,138) | 15.3% (298) |
| Less than High School | 9.6% (4,258) | 8.8% (171) |
| Bachelor's Degree and Higher | 18.2% (8,041) | 10.0% (196) |
Education Levels Comparison: Lebanon vs Monrovia
- A higher percentage of residents in Lebanon have no formal schooling at 0.5% compared to 0.0% in Monrovia.
- A higher percentage of residents in Lebanon hold a high school diploma at 16.2% compared to 15.3% in Monrovia.
- More residents in Lebanon have less than a high school education at 9.6% compared to 8.8% in Monrovia.
- A higher percentage of residents in Lebanon hold a bachelor's degree or higher at 18.2% compared to 10.0% in Monrovia.
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.