Demographics details for Woodstock, IL vs Tullahoma, TN
Population Overview
Compare main population characteristics in Woodstock, IL vs Tullahoma, TN.
Data | Woodstock | Tullahoma |
---|---|---|
Population | 25,665 | 20,830 |
Median Age | 36.3 years | 40.2 years |
Median Income | $82,287 | $56,771 |
Married Families | 40.0% | 41.0% |
Poverty Level | 8% | 10% |
Unemployment Rate | 5.7 | 3.5 |
Population Comparison: Woodstock vs Tullahoma
- In Woodstock, the population is higher at 25,665, compared to 20,830 in Tullahoma.
- The median age in Tullahoma is higher at 40.2 years, compared to 36.3 years in Woodstock.
- Woodstock has a higher median income of $82,287 compared to $56,771 in Tullahoma.
- In Tullahoma, the percentage of married families is higher at 41.0%, compared to 40.0% in Woodstock.
- The poverty level is higher in Tullahoma at 10%, compared to 8% in Woodstock.
- The unemployment rate in Woodstock is higher at 5.7%, compared to 3.5% in Tullahoma.
Demographics
Demographics Woodstock vs Tullahoma provide insight into the diversity of the communities to compare.
Demographic | Woodstock | Tullahoma |
---|---|---|
Black | 3 | 6 |
White | 59 | 83 |
Asian | 2 | 2 |
Hispanic | 23 | 5 |
Two or More Races | 13 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Woodstock vs Tullahoma
- In Tullahoma, the percentage of Black residents is higher at 6% compared to 3% in Woodstock.
- The percentage of White residents is higher in Tullahoma at 83% compared to 59% in Woodstock.
- Both Woodstock and Tullahoma have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Woodstock at 23% compared to 5% in Tullahoma.
- More residents identify as two or more races in Woodstock at 13% compared to 4% in Tullahoma.
- The percentage of American Indian residents is the same in both Woodstock and Tullahoma at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Woodstock | Tullahoma |
---|---|---|
Mental Health Not Good | 15.3% | 19.9% |
Physical Health Not Good | 10.7% | 14.0% |
Depression | 20.2% | 28.9% |
Smoking | 15.2% | 22.6% |
Binge Drinking | 17.7% | 15.1% |
Obesity | 32.4% | 39.1% |
Disability Percentage | 10.0% | 19.0% |
Health Statistics Comparison: Woodstock vs Tullahoma
- In Tullahoma, a higher percentage report poor mental health at 19.9% compared to 15.3% in Woodstock.
- Higher depression rates are seen in Tullahoma at 28.9% versus 20.2% in Woodstock.
- Tullahoma has a higher smoking rate at 22.6% compared to 15.2% in Woodstock.
- Binge drinking is more common in Woodstock at 17.7% compared to 15.1% in Tullahoma.
- Tullahoma has higher obesity rates at 39.1% compared to 32.4% in Woodstock.
- There is a higher percentage of disabled individuals in Tullahoma at 19.0% 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 | Woodstock | Tullahoma |
---|---|---|
No Schooling | 0.9% (237) | 0.6% (117) |
High School Diploma | 15.8% (4,047) | 18.9% (3,932) |
Less than High School | 12.9% (3,314) | 14.1% (2,944) |
Bachelor's Degree and Higher | 21.0% (5,381) | 19.3% (4,012) |
Education Levels Comparison: Woodstock vs Tullahoma
- A higher percentage of residents in Woodstock have no formal schooling at 0.9% compared to 0.6% in Tullahoma.
- In Tullahoma, the rate of residents with high school diplomas is higher at 18.9% compared to 15.8% in Woodstock.
- The percentage of residents with less than a high school education is higher in Tullahoma at 14.1%, compared to 12.9% in Woodstock.
- A higher percentage of residents in Woodstock hold a bachelor's degree or higher at 21.0% compared to 19.3% in Tullahoma.
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.