Demographics details for Tullahoma, TN vs Kingsland, GA
Population Overview
Compare main population characteristics in Tullahoma, TN vs Kingsland, GA.
| Data | Tullahoma | Kingsland |
|---|---|---|
| Population | 20,830 | 19,896 |
| Median Age | 40.2 years | 33.1 years |
| Median Income | $56,771 | $73,839 |
| Married Families | 41.0% | 36.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Tullahoma vs Kingsland
- In Tullahoma, the population is higher at 20,830, compared to 19,896 in Kingsland.
- Residents in Tullahoma have a higher median age of 40.2 years compared to 33.1 years in Kingsland.
- Kingsland has a higher median income of $73,839, compared to $56,771 in Tullahoma.
- A higher percentage of married families is found in Tullahoma at 41.0% compared to 36.0% in Kingsland.
- Tullahoma has a higher poverty level at 10% compared to 9% in Kingsland.
- The unemployment rate is the same in both Tullahoma and Kingsland at 3.5%.
Demographics
Demographics Tullahoma vs Kingsland provide insight into the diversity of the communities to compare.
| Demographic | Tullahoma | Kingsland |
|---|---|---|
| Black | 6 | 21 |
| White | 83 | 60 |
| Asian | 2 | 2 |
| Hispanic | 5 | 8 |
| Two or More Races | 4 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tullahoma vs Kingsland
- In Kingsland, the percentage of Black residents is higher at 21% compared to 6% in Tullahoma.
- Tullahoma has a higher percentage of White residents at 83% compared to 60% in Kingsland.
- Both Tullahoma and Kingsland have the same percentage of Asian residents at 2%.
- Kingsland has a higher percentage of Hispanic residents at 8%, compared to 5% in Tullahoma.
- The percentage of residents identifying as two or more races is higher in Kingsland at 9%, compared to 4% in Tullahoma.
- The percentage of American Indian residents is the same in both Tullahoma and Kingsland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tullahoma | Kingsland |
|---|---|---|
| Mental Health Not Good | 19.9% | 16.8% |
| Physical Health Not Good | 14.0% | 11.9% |
| Depression | 28.9% | 21.8% |
| Smoking | 22.6% | 17.3% |
| Binge Drinking | 15.1% | 16.1% |
| Obesity | 39.1% | 36.1% |
| Disability Percentage | 19.0% | 9.0% |
Health Statistics Comparison: Tullahoma vs Kingsland
- More residents in Tullahoma report poor mental health at 19.9% compared to 16.8% in Kingsland.
- Depression is more prevalent in Tullahoma at 28.9% compared to 21.8% in Kingsland.
- Smoking is more prevalent in Tullahoma at 22.6% compared to 17.3% in Kingsland.
- More residents engage in binge drinking in Kingsland at 16.1% compared to 15.1% in Tullahoma.
- Obesity rates are higher in Tullahoma at 39.1% compared to 36.1% in Kingsland.
- Disability percentages are higher in Tullahoma at 19.0% compared to 9.0% in Kingsland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tullahoma | Kingsland |
|---|---|---|
| No Schooling | 0.6% (117) | 0.3% (51) |
| High School Diploma | 18.9% (3,932) | 15.6% (3,105) |
| Less than High School | 14.1% (2,944) | 5.9% (1,175) |
| Bachelor's Degree and Higher | 19.3% (4,012) | 13.1% (2,616) |
Education Levels Comparison: Tullahoma vs Kingsland
- A higher percentage of residents in Tullahoma have no formal schooling at 0.6% compared to 0.3% in Kingsland.
- A higher percentage of residents in Tullahoma hold a high school diploma at 18.9% compared to 15.6% in Kingsland.
- More residents in Tullahoma have less than a high school education at 14.1% compared to 5.9% in Kingsland.
- A higher percentage of residents in Tullahoma hold a bachelor's degree or higher at 19.3% compared to 13.1% in Kingsland.
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.