Demographics details for Gainesville, TX vs Tullahoma, TN
Population Overview
Compare main population characteristics in Gainesville, TX vs Tullahoma, TN.
Data | Gainesville | Tullahoma |
---|---|---|
Population | 17,912 | 20,830 |
Median Age | 34.8 years | 40.2 years |
Median Income | $49,170 | $56,771 |
Married Families | 36.0% | 41.0% |
Poverty Level | 15% | 10% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Gainesville vs Tullahoma
- The population in Tullahoma is higher at 20,830, compared to 17,912 in Gainesville.
- The median age in Tullahoma is higher at 40.2 years, compared to 34.8 years in Gainesville.
- Tullahoma has a higher median income of $56,771, compared to $49,170 in Gainesville.
- In Tullahoma, the percentage of married families is higher at 41.0%, compared to 36.0% in Gainesville.
- Gainesville has a higher poverty level at 15% compared to 10% in Tullahoma.
- The unemployment rate in Gainesville is higher at 4.2%, compared to 3.5% in Tullahoma.
Demographics
Demographics Gainesville vs Tullahoma provide insight into the diversity of the communities to compare.
Demographic | Gainesville | Tullahoma |
---|---|---|
Black | 7 | 6 |
White | 47 | 83 |
Asian | 2 | 2 |
Hispanic | 31 | 5 |
Two or More Races | 12 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Gainesville vs Tullahoma
- A higher percentage of Black residents are in Gainesville at 7% compared to 6% in Tullahoma.
- The percentage of White residents is higher in Tullahoma at 83% compared to 47% in Gainesville.
- Both Gainesville and Tullahoma have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Gainesville at 31% compared to 5% in Tullahoma.
- More residents identify as two or more races in Gainesville at 12% compared to 4% in Tullahoma.
- A greater percentage of American Indian residents live in Gainesville at 1% compared to 0% in Tullahoma.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Gainesville | Tullahoma |
---|---|---|
Mental Health Not Good | 19.6% | 19.9% |
Physical Health Not Good | 14.2% | 14.0% |
Depression | 25.2% | 28.9% |
Smoking | 21.4% | 22.6% |
Binge Drinking | 17.5% | 15.1% |
Obesity | 38.5% | 39.1% |
Disability Percentage | 14.0% | 19.0% |
Health Statistics Comparison: Gainesville vs Tullahoma
- In Tullahoma, a higher percentage report poor mental health at 19.9% compared to 19.6% in Gainesville.
- Higher depression rates are seen in Tullahoma at 28.9% versus 25.2% in Gainesville.
- Tullahoma has a higher smoking rate at 22.6% compared to 21.4% in Gainesville.
- Binge drinking is more common in Gainesville at 17.5% compared to 15.1% in Tullahoma.
- Tullahoma has higher obesity rates at 39.1% compared to 38.5% in Gainesville.
- There is a higher percentage of disabled individuals in Tullahoma at 19.0% compared to 14.0% in Gainesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Gainesville | Tullahoma |
---|---|---|
No Schooling | 1.6% (286) | 0.6% (117) |
High School Diploma | 15.0% (2,686) | 18.9% (3,932) |
Less than High School | 20.8% (3,722) | 14.1% (2,944) |
Bachelor's Degree and Higher | 11.2% (1,998) | 19.3% (4,012) |
Education Levels Comparison: Gainesville vs Tullahoma
- A higher percentage of residents in Gainesville have no formal schooling at 1.6% compared to 0.6% in Tullahoma.
- In Tullahoma, the rate of residents with high school diplomas is higher at 18.9% compared to 15.0% in Gainesville.
- More residents in Gainesville have less than a high school education at 20.8% compared to 14.1% in Tullahoma.
- In Tullahoma, a larger share of residents have a bachelor's degree or higher at 19.3% compared to 11.2% in Gainesville.
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.