Demographics details for Lebanon, MO vs Chester, CT
Population Overview
Compare main population characteristics in Lebanon, MO vs Chester, CT.
| Data | Lebanon | Chester |
|---|---|---|
| Population | 15,232 | 3,994 |
| Median Age | 35.1 years | 43.0 years |
| Median Income | $45,634 | $102,500 |
| Married Families | 33.0% | 64.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 3.5 | 2.1 |
Population Comparison: Lebanon vs Chester
- In Lebanon, the population is higher at 15,232, compared to 3,994 in Chester.
- The median age in Chester is higher at 43.0 years, compared to 35.1 years in Lebanon.
- Chester has a higher median income of $102,500, compared to $45,634 in Lebanon.
- In Chester, the percentage of married families is higher at 64.0%, compared to 33.0% in Lebanon.
- Lebanon has a higher poverty level at 12% compared to 5% in Chester.
- The unemployment rate in Lebanon is higher at 3.5%, compared to 2.1% in Chester.
Demographics
Demographics Lebanon vs Chester provide insight into the diversity of the communities to compare.
| Demographic | Lebanon | Chester |
|---|---|---|
| Black | 1 | 1 |
| White | 87 | 87 |
| Asian | 1 | Data is updating |
| Hispanic | 4 | 5 |
| Two or More Races | 6 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Lebanon vs Chester
- The percentage of Black residents is the same in both Lebanon and Chester at 1%.
- The percentage of White residents is the same in both Lebanon and Chester at 87%.
- The Asian population is larger in Lebanon at 1% compared to 0% in Chester.
- Chester has a higher percentage of Hispanic residents at 5%, compared to 4% in Lebanon.
- More residents identify as two or more races in Lebanon at 6% compared to 3% in Chester.
- A greater percentage of American Indian residents live in Lebanon at 1% compared to 0% in Chester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lebanon | Chester |
|---|---|---|
| Mental Health Not Good | 19.4% | Data is updating% |
| Physical Health Not Good | 14.1% | Data is updating% |
| Depression | 24.9% | Data is updating% |
| Smoking | 23.6% | Data is updating% |
| Binge Drinking | 16.5% | Data is updating% |
| Obesity | 38.8% | Data is updating% |
| Disability Percentage | 19.0% | Data is updating% |
Health Statistics Comparison: Lebanon vs Chester
- More residents in Lebanon report poor mental health at 19.4% compared to 0.0% in Chester.
- Depression is more prevalent in Lebanon at 24.9% compared to 0.0% in Chester.
- Smoking is more prevalent in Lebanon at 23.6% compared to 0.0% in Chester.
- Binge drinking is more common in Lebanon at 16.5% compared to 0.0% in Chester.
- Obesity rates are higher in Lebanon at 38.8% compared to 0.0% in Chester.
- Disability percentages are higher in Lebanon at 19.0% compared to 0.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lebanon | Chester |
|---|---|---|
| No Schooling | 0.6% (90) | 0.0% (Data is updating) |
| High School Diploma | 18.8% (2,870) | 0.0% (Data is updating) |
| Less than High School | 18.3% (2,795) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 11.2% (1,707) | 0.0% (Data is updating) |
Education Levels Comparison: Lebanon vs Chester
- A higher percentage of residents in Lebanon have no formal schooling at 0.6% compared to 0.0% in Chester.
- A higher percentage of residents in Lebanon hold a high school diploma at 18.8% compared to 0.0% in Chester.
- More residents in Lebanon have less than a high school education at 18.3% compared to 0.0% in Chester.
- A higher percentage of residents in Lebanon hold a bachelor's degree or higher at 11.2% compared to 0.0% in Chester.
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.