Demographics details for Tullahoma, TN vs Sutherland, VA
Population Overview
Compare main population characteristics in Tullahoma, TN vs Sutherland, VA.
Data | Tullahoma | Sutherland |
---|---|---|
Population | 20,830 | 2,000 |
Median Age | 40.2 years | 45.0 years |
Median Income | $56,771 | $60,000 |
Married Families | 41.0% | 60.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Tullahoma vs Sutherland
- In Tullahoma, the population is higher at 20,830, compared to 2,000 in Sutherland.
- The median age in Sutherland is higher at 45.0 years, compared to 40.2 years in Tullahoma.
- Sutherland has a higher median income of $60,000, compared to $56,771 in Tullahoma.
- In Sutherland, the percentage of married families is higher at 60.0%, compared to 41.0% in Tullahoma.
- The poverty level is identical in both Tullahoma and Sutherland at 10%.
- Sutherland has a higher unemployment rate at 5.0% compared to 3.5% in Tullahoma.
Demographics
Demographics Tullahoma vs Sutherland provide insight into the diversity of the communities to compare.
Demographic | Tullahoma | Sutherland |
---|---|---|
Black | 6 | 10 |
White | 83 | 80 |
Asian | 2 | 5 |
Hispanic | 5 | 5 |
Two or More Races | 4 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Tullahoma vs Sutherland
- In Sutherland, the percentage of Black residents is higher at 10% compared to 6% in Tullahoma.
- Tullahoma has a higher percentage of White residents at 83% compared to 80% in Sutherland.
- In Sutherland, the Asian population stands at 5%, greater than 2% in Tullahoma.
- The percentage of Hispanic residents is the same in both Tullahoma and Sutherland at 5%.
- More residents identify as two or more races in Tullahoma at 4% compared to 0% in Sutherland.
- The percentage of American Indian residents is the same in both Tullahoma and Sutherland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Tullahoma | Sutherland |
---|---|---|
Mental Health Not Good | 19.9% | Data is updating% |
Physical Health Not Good | 14.0% | Data is updating% |
Depression | 28.9% | Data is updating% |
Smoking | 22.6% | Data is updating% |
Binge Drinking | 15.1% | Data is updating% |
Obesity | 39.1% | Data is updating% |
Disability Percentage | 19.0% | Data is updating% |
Health Statistics Comparison: Tullahoma vs Sutherland
- More residents in Tullahoma report poor mental health at 19.9% compared to 0.0% in Sutherland.
- Depression is more prevalent in Tullahoma at 28.9% compared to 0.0% in Sutherland.
- Smoking is more prevalent in Tullahoma at 22.6% compared to 0.0% in Sutherland.
- Binge drinking is more common in Tullahoma at 15.1% compared to 0.0% in Sutherland.
- Obesity rates are higher in Tullahoma at 39.1% compared to 0.0% in Sutherland.
- Disability percentages are higher in Tullahoma at 19.0% compared to 0.0% in Sutherland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Tullahoma | Sutherland |
---|---|---|
No Schooling | 0.6% (117) | 0.0% (Data is updating) |
High School Diploma | 18.9% (3,932) | 0.0% (Data is updating) |
Less than High School | 14.1% (2,944) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 19.3% (4,012) | 0.0% (Data is updating) |
Education Levels Comparison: Tullahoma vs Sutherland
- A higher percentage of residents in Tullahoma have no formal schooling at 0.6% compared to 0.0% in Sutherland.
- A higher percentage of residents in Tullahoma hold a high school diploma at 18.9% compared to 0.0% in Sutherland.
- More residents in Tullahoma have less than a high school education at 14.1% compared to 0.0% in Sutherland.
- A higher percentage of residents in Tullahoma hold a bachelor's degree or higher at 19.3% compared to 0.0% in Sutherland.
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.