Demographics details for Lebanon, MO vs Baltimore, MD
Population Overview
Compare main population characteristics in Lebanon, MO vs Baltimore, MD.
| Data | Lebanon | Baltimore |
|---|---|---|
| Population | 15,232 | 569,931 |
| Median Age | 35.1 years | 36.0 years |
| Median Income | $45,634 | $58,349 |
| Married Families | 33.0% | 23.0% |
| Poverty Level | 12% | 16% |
| Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Lebanon vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 15,232 in Lebanon.
- The median age in Baltimore is higher at 36.0 years, compared to 35.1 years in Lebanon.
- Baltimore has a higher median income of $58,349, compared to $45,634 in Lebanon.
- A higher percentage of married families is found in Lebanon at 33.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 12% in Lebanon.
- Baltimore has a higher unemployment rate at 4.3% compared to 3.5% in Lebanon.
Demographics
Demographics Lebanon vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Lebanon | Baltimore |
|---|---|---|
| Black | 1 | 63 |
| White | 87 | 23 |
| Asian | 1 | 3 |
| Hispanic | 4 | 6 |
| Two or More Races | 6 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Lebanon vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 1% in Lebanon.
- Lebanon has a higher percentage of White residents at 87% compared to 23% in Baltimore.
- In Baltimore, the Asian population stands at 3%, greater than 1% in Lebanon.
- Baltimore has a higher percentage of Hispanic residents at 6%, compared to 4% in Lebanon.
- More residents identify as two or more races in Lebanon at 6% compared to 5% in Baltimore.
- A greater percentage of American Indian residents live in Lebanon at 1% compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lebanon | Baltimore |
|---|---|---|
| Mental Health Not Good | 19.4% | 17.9% |
| Physical Health Not Good | 14.1% | 12.3% |
| Depression | 24.9% | 20.2% |
| Smoking | 23.6% | 19.8% |
| Binge Drinking | 16.5% | 15.4% |
| Obesity | 38.8% | 37.1% |
| Disability Percentage | 19.0% | 16.0% |
Health Statistics Comparison: Lebanon vs Baltimore
- More residents in Lebanon report poor mental health at 19.4% compared to 17.9% in Baltimore.
- Depression is more prevalent in Lebanon at 24.9% compared to 20.2% in Baltimore.
- Smoking is more prevalent in Lebanon at 23.6% compared to 19.8% in Baltimore.
- Binge drinking is more common in Lebanon at 16.5% compared to 15.4% in Baltimore.
- Obesity rates are higher in Lebanon at 38.8% compared to 37.1% in Baltimore.
- Disability percentages are higher in Lebanon at 19.0% compared to 16.0% in Baltimore.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lebanon | Baltimore |
|---|---|---|
| No Schooling | 0.6% (90) | 1.2% (6,683) |
| High School Diploma | 18.8% (2,870) | 16.8% (95,744) |
| Less than High School | 18.3% (2,795) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 11.2% (1,707) | 25.1% (143,174) |
Education Levels Comparison: Lebanon vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 0.6% in Lebanon.
- A higher percentage of residents in Lebanon hold a high school diploma at 18.8% compared to 16.8% in Baltimore.
- More residents in Lebanon have less than a high school education at 18.3% compared to 11.9% in Baltimore.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 11.2% 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.