Demographics details for Lebanon, TN vs Woodstock, IL
Population Overview
Compare main population characteristics in Lebanon, TN vs Woodstock, IL.
| Data | Lebanon | Woodstock |
|---|---|---|
| Population | 44,166 | 25,665 |
| Median Age | 35.6 years | 36.3 years |
| Median Income | $63,698 | $82,287 |
| Married Families | 33.0% | 40.0% |
| Poverty Level | 9% | 8% |
| Unemployment Rate | 3.5 | 5.7 |
Population Comparison: Lebanon vs Woodstock
- In Lebanon, the population is higher at 44,166, compared to 25,665 in Woodstock.
- The median age in Woodstock is higher at 36.3 years, compared to 35.6 years in Lebanon.
- Woodstock has a higher median income of $82,287, compared to $63,698 in Lebanon.
- In Woodstock, the percentage of married families is higher at 40.0%, compared to 33.0% in Lebanon.
- Lebanon has a higher poverty level at 9% compared to 8% in Woodstock.
- Woodstock has a higher unemployment rate at 5.7% compared to 3.5% in Lebanon.
Demographics
Demographics Lebanon vs Woodstock provide insight into the diversity of the communities to compare.
| Demographic | Lebanon | Woodstock |
|---|---|---|
| Black | 10 | 3 |
| White | 76 | 59 |
| Asian | 1 | 2 |
| Hispanic | 6 | 23 |
| Two or More Races | 7 | 13 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lebanon vs Woodstock
- A higher percentage of Black residents are in Lebanon at 10% compared to 3% in Woodstock.
- Lebanon has a higher percentage of White residents at 76% compared to 59% in Woodstock.
- In Woodstock, the Asian population stands at 2%, greater than 1% in Lebanon.
- Woodstock has a higher percentage of Hispanic residents at 23%, compared to 6% in Lebanon.
- The percentage of residents identifying as two or more races is higher in Woodstock at 13%, compared to 7% in Lebanon.
- The percentage of American Indian residents is the same in both Lebanon and Woodstock at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lebanon | Woodstock |
|---|---|---|
| Mental Health Not Good | 18.8% | 15.3% |
| Physical Health Not Good | 13.2% | 10.7% |
| Depression | 27.5% | 20.2% |
| Smoking | 21.4% | 15.2% |
| Binge Drinking | 15.3% | 17.7% |
| Obesity | 34.4% | 32.4% |
| Disability Percentage | 12.0% | 10.0% |
Health Statistics Comparison: Lebanon vs Woodstock
- More residents in Lebanon report poor mental health at 18.8% compared to 15.3% in Woodstock.
- Depression is more prevalent in Lebanon at 27.5% compared to 20.2% in Woodstock.
- Smoking is more prevalent in Lebanon at 21.4% compared to 15.2% in Woodstock.
- More residents engage in binge drinking in Woodstock at 17.7% compared to 15.3% in Lebanon.
- Obesity rates are higher in Lebanon at 34.4% compared to 32.4% in Woodstock.
- Disability percentages are higher in Lebanon at 12.0% compared to 10.0% in Woodstock.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lebanon | Woodstock |
|---|---|---|
| No Schooling | 0.5% (228) | 0.9% (237) |
| High School Diploma | 16.2% (7,138) | 15.8% (4,047) |
| Less than High School | 9.6% (4,258) | 12.9% (3,314) |
| Bachelor's Degree and Higher | 18.2% (8,041) | 21.0% (5,381) |
Education Levels Comparison: Lebanon vs Woodstock
- In Woodstock, a larger percentage of residents lack formal schooling at 0.9% compared to 0.5% in Lebanon.
- A higher percentage of residents in Lebanon hold a high school diploma at 16.2% compared to 15.8% in Woodstock.
- The percentage of residents with less than a high school education is higher in Woodstock at 12.9%, compared to 9.6% in Lebanon.
- In Woodstock, a larger share of residents have a bachelor's degree or higher at 21.0% compared to 18.2% in 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.