Demographics details for Lebanon, MO vs Waterbury, CT
Population Overview
Compare main population characteristics in Lebanon, MO vs Waterbury, CT.
| Data | Lebanon | Waterbury |
|---|---|---|
| Population | 15,232 | 115,016 |
| Median Age | 35.1 years | 36.7 years |
| Median Income | $45,634 | $51,451 |
| Married Families | 33.0% | 28.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Lebanon vs Waterbury
- The population in Waterbury is higher at 115,016, compared to 15,232 in Lebanon.
- The median age in Waterbury is higher at 36.7 years, compared to 35.1 years in Lebanon.
- Waterbury has a higher median income of $51,451, compared to $45,634 in Lebanon.
- A higher percentage of married families is found in Lebanon at 33.0% compared to 28.0% in Waterbury.
- The poverty level is higher in Waterbury at 13%, compared to 12% in Lebanon.
- Waterbury has a higher unemployment rate at 4.5% compared to 3.5% in Lebanon.
Demographics
Demographics Lebanon vs Waterbury provide insight into the diversity of the communities to compare.
| Demographic | Lebanon | Waterbury |
|---|---|---|
| Black | 1 | 28 |
| White | 87 | 22 |
| Asian | 1 | 3 |
| Hispanic | 4 | 36 |
| Two or More Races | 6 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Lebanon vs Waterbury
- In Waterbury, the percentage of Black residents is higher at 28% compared to 1% in Lebanon.
- Lebanon has a higher percentage of White residents at 87% compared to 22% in Waterbury.
- In Waterbury, the Asian population stands at 3%, greater than 1% in Lebanon.
- Waterbury has a higher percentage of Hispanic residents at 36%, compared to 4% in Lebanon.
- The percentage of residents identifying as two or more races is higher in Waterbury at 11%, compared to 6% in Lebanon.
- A greater percentage of American Indian residents live in Lebanon at 1% compared to 0% in Waterbury.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lebanon | Waterbury |
|---|---|---|
| Mental Health Not Good | 19.4% | 17.3% |
| Physical Health Not Good | 14.1% | 13.3% |
| Depression | 24.9% | 22.0% |
| Smoking | 23.6% | 21.8% |
| Binge Drinking | 16.5% | 13.7% |
| Obesity | 38.8% | 37.1% |
| Disability Percentage | 19.0% | 16.0% |
Health Statistics Comparison: Lebanon vs Waterbury
- More residents in Lebanon report poor mental health at 19.4% compared to 17.3% in Waterbury.
- Depression is more prevalent in Lebanon at 24.9% compared to 22.0% in Waterbury.
- Smoking is more prevalent in Lebanon at 23.6% compared to 21.8% in Waterbury.
- Binge drinking is more common in Lebanon at 16.5% compared to 13.7% in Waterbury.
- Obesity rates are higher in Lebanon at 38.8% compared to 37.1% in Waterbury.
- Disability percentages are higher in Lebanon at 19.0% compared to 16.0% in Waterbury.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lebanon | Waterbury |
|---|---|---|
| No Schooling | 0.6% (90) | 1.9% (2,221) |
| High School Diploma | 18.8% (2,870) | 21.4% (24,629) |
| Less than High School | 18.3% (2,795) | 20.7% (23,816) |
| Bachelor's Degree and Higher | 11.2% (1,707) | 11.1% (12,745) |
Education Levels Comparison: Lebanon vs Waterbury
- In Waterbury, a larger percentage of residents lack formal schooling at 1.9% compared to 0.6% in Lebanon.
- In Waterbury, the rate of residents with high school diplomas is higher at 21.4% compared to 18.8% in Lebanon.
- The percentage of residents with less than a high school education is higher in Waterbury at 20.7%, compared to 18.3% in Lebanon.
- A higher percentage of residents in Lebanon hold a bachelor's degree or higher at 11.2% compared to 11.1% in Waterbury.
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.