Demographics details for Fleming, CO vs Tullahoma, TN
Population Overview
Compare main population characteristics in Fleming, CO vs Tullahoma, TN.
| Data | Fleming | Tullahoma |
|---|---|---|
| Population | 422 | 20,830 |
| Median Age | 33.5 years | 40.2 years |
| Median Income | $48,125 | $56,771 |
| Married Families | 72.0% | 41.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Fleming vs Tullahoma
- The population in Tullahoma is higher at 20,830, compared to 422 in Fleming.
- The median age in Tullahoma is higher at 40.2 years, compared to 33.5 years in Fleming.
- Tullahoma has a higher median income of $56,771, compared to $48,125 in Fleming.
- A higher percentage of married families is found in Fleming at 72.0% compared to 41.0% in Tullahoma.
- The poverty level is identical in both Fleming and Tullahoma at 10%.
- The unemployment rate in Fleming is higher at 4.2%, compared to 3.5% in Tullahoma.
Demographics
Demographics Fleming vs Tullahoma provide insight into the diversity of the communities to compare.
| Demographic | Fleming | Tullahoma |
|---|---|---|
| Black | Data is updating | 6 |
| White | 18 | 83 |
| Asian | Data is updating | 2 |
| Hispanic | 41 | 5 |
| Two or More Races | 38 | 4 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Fleming vs Tullahoma
- In Tullahoma, the percentage of Black residents is higher at 6% compared to 0% in Fleming.
- The percentage of White residents is higher in Tullahoma at 83% compared to 18% in Fleming.
- In Tullahoma, the Asian population stands at 2%, greater than 0% in Fleming.
- The Hispanic community is larger in Fleming at 41% compared to 5% in Tullahoma.
- More residents identify as two or more races in Fleming at 38% compared to 4% in Tullahoma.
- A greater percentage of American Indian residents live in Fleming at 3% compared to 0% in Tullahoma.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fleming | Tullahoma |
|---|---|---|
| Mental Health Not Good | 17.2% | 19.9% |
| Physical Health Not Good | 11.7% | 14.0% |
| Depression | 23.9% | 28.9% |
| Smoking | 18.7% | 22.6% |
| Binge Drinking | 20.6% | 15.1% |
| Obesity | 28.7% | 39.1% |
| Disability Percentage | 21.0% | 19.0% |
Health Statistics Comparison: Fleming vs Tullahoma
- In Tullahoma, a higher percentage report poor mental health at 19.9% compared to 17.2% in Fleming.
- Higher depression rates are seen in Tullahoma at 28.9% versus 23.9% in Fleming.
- Tullahoma has a higher smoking rate at 22.6% compared to 18.7% in Fleming.
- Binge drinking is more common in Fleming at 20.6% compared to 15.1% in Tullahoma.
- Tullahoma has higher obesity rates at 39.1% compared to 28.7% in Fleming.
- Disability percentages are higher in Fleming at 21.0% compared to 19.0% in Tullahoma.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fleming | Tullahoma |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.6% (117) |
| High School Diploma | 21.8% (92) | 18.9% (3,932) |
| Less than High School | 8.3% (35) | 14.1% (2,944) |
| Bachelor's Degree and Higher | 20.9% (88) | 19.3% (4,012) |
Education Levels Comparison: Fleming vs Tullahoma
- In Tullahoma, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Fleming.
- A higher percentage of residents in Fleming hold a high school diploma at 21.8% compared to 18.9% in Tullahoma.
- The percentage of residents with less than a high school education is higher in Tullahoma at 14.1%, compared to 8.3% in Fleming.
- A higher percentage of residents in Fleming hold a bachelor's degree or higher at 20.9% 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.