Demographics details for Tullahoma, TN vs Baltic, SD
Population Overview
Compare main population characteristics in Tullahoma, TN vs Baltic, SD.
| Data | Tullahoma | Baltic |
|---|---|---|
| Population | 20,830 | 1,322 |
| Median Age | 40.2 years | 30.1 years |
| Median Income | $56,771 | $94,167 |
| Married Families | 41.0% | 48.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Tullahoma vs Baltic
- In Tullahoma, the population is higher at 20,830, compared to 1,322 in Baltic.
- Residents in Tullahoma have a higher median age of 40.2 years compared to 30.1 years in Baltic.
- Baltic has a higher median income of $94,167, compared to $56,771 in Tullahoma.
- In Baltic, the percentage of married families is higher at 48.0%, compared to 41.0% in Tullahoma.
- Tullahoma has a higher poverty level at 10% compared to 0% in Baltic.
- The unemployment rate in Tullahoma is higher at 3.5%, compared to 2.5% in Baltic.
Demographics
Demographics Tullahoma vs Baltic provide insight into the diversity of the communities to compare.
| Demographic | Tullahoma | Baltic |
|---|---|---|
| Black | 6 | 1 |
| White | 83 | 92 |
| Asian | 2 | Data is updating |
| Hispanic | 5 | 1 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Tullahoma vs Baltic
- A higher percentage of Black residents are in Tullahoma at 6% compared to 1% in Baltic.
- The percentage of White residents is higher in Baltic at 92% compared to 83% in Tullahoma.
- The Asian population is larger in Tullahoma at 2% compared to 0% in Baltic.
- The Hispanic community is larger in Tullahoma at 5% compared to 1% in Baltic.
- The percentage of residents identifying as two or more races is higher in Baltic at 5%, compared to 4% in Tullahoma.
- In Baltic, the percentage of American Indian residents is higher at 1%, compared to 0% in Tullahoma.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tullahoma | Baltic |
|---|---|---|
| Mental Health Not Good | 19.9% | 13.1% |
| Physical Health Not Good | 14.0% | 8.1% |
| Depression | 28.9% | 19.9% |
| Smoking | 22.6% | 15.0% |
| Binge Drinking | 15.1% | 23.1% |
| Obesity | 39.1% | 34.5% |
| Disability Percentage | 19.0% | 9.0% |
Health Statistics Comparison: Tullahoma vs Baltic
- More residents in Tullahoma report poor mental health at 19.9% compared to 13.1% in Baltic.
- Depression is more prevalent in Tullahoma at 28.9% compared to 19.9% in Baltic.
- Smoking is more prevalent in Tullahoma at 22.6% compared to 15.0% in Baltic.
- More residents engage in binge drinking in Baltic at 23.1% compared to 15.1% in Tullahoma.
- Obesity rates are higher in Tullahoma at 39.1% compared to 34.5% in Baltic.
- Disability percentages are higher in Tullahoma at 19.0% compared to 9.0% in Baltic.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tullahoma | Baltic |
|---|---|---|
| No Schooling | 0.6% (117) | 0.2% (2) |
| High School Diploma | 18.9% (3,932) | 15.1% (199) |
| Less than High School | 14.1% (2,944) | 3.6% (48) |
| Bachelor's Degree and Higher | 19.3% (4,012) | 19.1% (252) |
Education Levels Comparison: Tullahoma vs Baltic
- A higher percentage of residents in Tullahoma have no formal schooling at 0.6% compared to 0.2% in Baltic.
- A higher percentage of residents in Tullahoma hold a high school diploma at 18.9% compared to 15.1% in Baltic.
- More residents in Tullahoma have less than a high school education at 14.1% compared to 3.6% in Baltic.
- A higher percentage of residents in Tullahoma hold a bachelor's degree or higher at 19.3% compared to 19.1% in Baltic.
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.