Demographics details for Old lyme, CT vs Lebanon, MO
Population Overview
Compare main population characteristics in Old lyme, CT vs Lebanon, MO.
| Data | Old lyme | Lebanon |
|---|---|---|
| Population | 7,366 | 15,232 |
| Median Age | 47.6 years | 35.1 years |
| Median Income | $103,750 | $45,634 |
| Married Families | 59.0% | 33.0% |
| Poverty Level | 3% | 12% |
| Unemployment Rate | 2.2 | 3.5 |
Population Comparison: Old lyme vs Lebanon
- The population in Lebanon is higher at 15,232, compared to 7,366 in Old lyme.
- Residents in Old lyme have a higher median age of 47.6 years compared to 35.1 years in Lebanon.
- Old lyme has a higher median income of $103,750 compared to $45,634 in Lebanon.
- A higher percentage of married families is found in Old lyme at 59.0% compared to 33.0% in Lebanon.
- The poverty level is higher in Lebanon at 12%, compared to 3% in Old lyme.
- Lebanon has a higher unemployment rate at 3.5% compared to 2.2% in Old lyme.
Demographics
Demographics Old lyme vs Lebanon provide insight into the diversity of the communities to compare.
| Demographic | Old lyme | Lebanon |
|---|---|---|
| Black | 1 | 1 |
| White | 92 | 87 |
| Asian | 3 | 1 |
| Hispanic | 2 | 4 |
| Two or More Races | 2 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Old lyme vs Lebanon
- The percentage of Black residents is the same in both Old lyme and Lebanon at 1%.
- Old lyme has a higher percentage of White residents at 92% compared to 87% in Lebanon.
- The Asian population is larger in Old lyme at 3% compared to 1% in Lebanon.
- Lebanon has a higher percentage of Hispanic residents at 4%, compared to 2% in Old lyme.
- The percentage of residents identifying as two or more races is higher in Lebanon at 6%, compared to 2% in Old lyme.
- In Lebanon, the percentage of American Indian residents is higher at 1%, compared to 0% in Old lyme.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Old lyme | Lebanon |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.4% |
| Physical Health Not Good | Data is updating% | 14.1% |
| Depression | Data is updating% | 24.9% |
| Smoking | Data is updating% | 23.6% |
| Binge Drinking | Data is updating% | 16.5% |
| Obesity | Data is updating% | 38.8% |
| Disability Percentage | Data is updating% | 19.0% |
Health Statistics Comparison: Old lyme vs Lebanon
- In Lebanon, a higher percentage report poor mental health at 19.4% compared to 0.0% in Old lyme.
- Higher depression rates are seen in Lebanon at 24.9% versus 0.0% in Old lyme.
- Lebanon has a higher smoking rate at 23.6% compared to 0.0% in Old lyme.
- More residents engage in binge drinking in Lebanon at 16.5% compared to 0.0% in Old lyme.
- Lebanon has higher obesity rates at 38.8% compared to 0.0% in Old lyme.
- There is a higher percentage of disabled individuals in Lebanon at 19.0% compared to 0.0% in Old lyme.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Old lyme | Lebanon |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (90) |
| High School Diploma | 0.0% (Data is updating) | 18.8% (2,870) |
| Less than High School | 0.0% (Data is updating) | 18.3% (2,795) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 11.2% (1,707) |
Education Levels Comparison: Old lyme vs Lebanon
- In Lebanon, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Old lyme.
- In Lebanon, the rate of residents with high school diplomas is higher at 18.8% compared to 0.0% in Old lyme.
- The percentage of residents with less than a high school education is higher in Lebanon at 18.3%, compared to 0.0% in Old lyme.
- In Lebanon, a larger share of residents have a bachelor's degree or higher at 11.2% compared to 0.0% in Old lyme.
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.