Demographics details for Lebanon, MO vs Sudlersville, MD
Population Overview
Compare main population characteristics in Lebanon, MO vs Sudlersville, MD.
| Data | Lebanon | Sudlersville |
|---|---|---|
| Population | 15,232 | 516 |
| Median Age | 35.1 years | 44.4 years |
| Median Income | $45,634 | $40,000 |
| Married Families | 33.0% | 21.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Lebanon vs Sudlersville
- In Lebanon, the population is higher at 15,232, compared to 516 in Sudlersville.
- The median age in Sudlersville is higher at 44.4 years, compared to 35.1 years in Lebanon.
- Lebanon has a higher median income of $45,634 compared to $40,000 in Sudlersville.
- A higher percentage of married families is found in Lebanon at 33.0% compared to 21.0% in Sudlersville.
- The poverty level is identical in both Lebanon and Sudlersville at 12%.
- The unemployment rate is the same in both Lebanon and Sudlersville at 3.5%.
Demographics
Demographics Lebanon vs Sudlersville provide insight into the diversity of the communities to compare.
| Demographic | Lebanon | Sudlersville |
|---|---|---|
| Black | 1 | 5 |
| White | 87 | 86 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | 9 |
| Two or More Races | 6 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Lebanon vs Sudlersville
- In Sudlersville, the percentage of Black residents is higher at 5% compared to 1% in Lebanon.
- Lebanon has a higher percentage of White residents at 87% compared to 86% in Sudlersville.
- The Asian population is larger in Lebanon at 1% compared to 0% in Sudlersville.
- Sudlersville has a higher percentage of Hispanic residents at 9%, compared to 4% in Lebanon.
- More residents identify as two or more races in Lebanon at 6% compared to 0% in Sudlersville.
- A greater percentage of American Indian residents live in Lebanon at 1% compared to 0% in Sudlersville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lebanon | Sudlersville |
|---|---|---|
| Mental Health Not Good | 19.4% | 18.1% |
| Physical Health Not Good | 14.1% | 12.1% |
| Depression | 24.9% | 22.4% |
| Smoking | 23.6% | 19.8% |
| Binge Drinking | 16.5% | 16.2% |
| Obesity | 38.8% | 39.1% |
| Disability Percentage | 19.0% | 19.0% |
Health Statistics Comparison: Lebanon vs Sudlersville
- More residents in Lebanon report poor mental health at 19.4% compared to 18.1% in Sudlersville.
- Depression is more prevalent in Lebanon at 24.9% compared to 22.4% in Sudlersville.
- Smoking is more prevalent in Lebanon at 23.6% compared to 19.8% in Sudlersville.
- Binge drinking is more common in Lebanon at 16.5% compared to 16.2% in Sudlersville.
- Sudlersville has higher obesity rates at 39.1% compared to 38.8% in Lebanon.
- Disability percentages are the same in both Lebanon and Sudlersville at 19.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lebanon | Sudlersville |
|---|---|---|
| No Schooling | 0.6% (90) | 0.6% (3) |
| High School Diploma | 18.8% (2,870) | 29.7% (153) |
| Less than High School | 18.3% (2,795) | 8.9% (46) |
| Bachelor's Degree and Higher | 11.2% (1,707) | 9.1% (47) |
Education Levels Comparison: Lebanon vs Sudlersville
- The percentage of residents with no formal schooling is the same in both Lebanon and Sudlersville at 0.6%.
- In Sudlersville, the rate of residents with high school diplomas is higher at 29.7% compared to 18.8% in Lebanon.
- More residents in Lebanon have less than a high school education at 18.3% compared to 8.9% in Sudlersville.
- A higher percentage of residents in Lebanon hold a bachelor's degree or higher at 11.2% compared to 9.1% in Sudlersville.
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.