Demographics details for South lebanon, OH vs Marshall, MI
Population Overview
Compare main population characteristics in South lebanon, OH vs Marshall, MI.
| Data | South lebanon | Marshall |
|---|---|---|
| Population | 6,693 | 6,753 |
| Median Age | 33.5 years | 45.4 years |
| Median Income | $108,194 | $72,813 |
| Married Families | 36.0% | 43.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: South lebanon vs Marshall
- The population in Marshall is higher at 6,753, compared to 6,693 in South lebanon.
- The median age in Marshall is higher at 45.4 years, compared to 33.5 years in South lebanon.
- South lebanon has a higher median income of $108,194 compared to $72,813 in Marshall.
- In Marshall, the percentage of married families is higher at 43.0%, compared to 36.0% in South lebanon.
- The poverty level is higher in Marshall at 9%, compared to 5% in South lebanon.
- Marshall has a higher unemployment rate at 4.2% compared to 3.2% in South lebanon.
Demographics
Demographics South lebanon vs Marshall provide insight into the diversity of the communities to compare.
| Demographic | South lebanon | Marshall |
|---|---|---|
| Black | 2 | Data is updating |
| White | 90 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | 4 |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: South lebanon vs Marshall
- A higher percentage of Black residents are in South lebanon at 2% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 94% compared to 90% in South lebanon.
- The Asian population is larger in South lebanon at 1% compared to 0% in Marshall.
- The percentage of Hispanic residents is the same in both South lebanon and Marshall at 4%.
- More residents identify as two or more races in South lebanon at 3% compared to 2% in Marshall.
- The percentage of American Indian residents is the same in both South lebanon and Marshall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | South lebanon | Marshall |
|---|---|---|
| Mental Health Not Good | 14.7% | 17.0% |
| Physical Health Not Good | 8.8% | 10.6% |
| Depression | 21.6% | 25.2% |
| Smoking | 13.9% | 17.3% |
| Binge Drinking | 20.1% | 18.0% |
| Obesity | 35.2% | 37.5% |
| Disability Percentage | 17.0% | 11.0% |
Health Statistics Comparison: South lebanon vs Marshall
- In Marshall, a higher percentage report poor mental health at 17.0% compared to 14.7% in South lebanon.
- Higher depression rates are seen in Marshall at 25.2% versus 21.6% in South lebanon.
- Marshall has a higher smoking rate at 17.3% compared to 13.9% in South lebanon.
- Binge drinking is more common in South lebanon at 20.1% compared to 18.0% in Marshall.
- Marshall has higher obesity rates at 37.5% compared to 35.2% in South lebanon.
- Disability percentages are higher in South lebanon at 17.0% compared to 11.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | South lebanon | Marshall |
|---|---|---|
| No Schooling | 0.1% (6) | 0.7% (46) |
| High School Diploma | 18.1% (1,211) | 15.8% (1,067) |
| Less than High School | 8.7% (585) | 7.3% (493) |
| Bachelor's Degree and Higher | 25.3% (1,690) | 33.1% (2,233) |
Education Levels Comparison: South lebanon vs Marshall
- In Marshall, a larger percentage of residents lack formal schooling at 0.7% compared to 0.1% in South lebanon.
- A higher percentage of residents in South lebanon hold a high school diploma at 18.1% compared to 15.8% in Marshall.
- More residents in South lebanon have less than a high school education at 8.7% compared to 7.3% in Marshall.
- In Marshall, a larger share of residents have a bachelor's degree or higher at 33.1% compared to 25.3% in South 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.