Demographics details for Germantown, TN vs Saluda, NC
Population Overview
Compare main population characteristics in Germantown, TN vs Saluda, NC.
| Data | Germantown | Saluda |
|---|---|---|
| Population | 40,816 | 642 |
| Median Age | 43.5 years | 61.4 years |
| Median Income | $140,429 | $51,429 |
| Married Families | 53.0% | 46.0% |
| Poverty Level | 4% | 11% |
| Unemployment Rate | 2.9 | 3.2 |
Population Comparison: Germantown vs Saluda
- In Germantown, the population is higher at 40,816, compared to 642 in Saluda.
- The median age in Saluda is higher at 61.4 years, compared to 43.5 years in Germantown.
- Germantown has a higher median income of $140,429 compared to $51,429 in Saluda.
- A higher percentage of married families is found in Germantown at 53.0% compared to 46.0% in Saluda.
- The poverty level is higher in Saluda at 11%, compared to 4% in Germantown.
- Saluda has a higher unemployment rate at 3.2% compared to 2.9% in Germantown.
Demographics
Demographics Germantown vs Saluda provide insight into the diversity of the communities to compare.
| Demographic | Germantown | Saluda |
|---|---|---|
| Black | 5 | 4 |
| White | 85 | 87 |
| Asian | 5 | Data is updating |
| Hispanic | 2 | 2 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Germantown vs Saluda
- A higher percentage of Black residents are in Germantown at 5% compared to 4% in Saluda.
- The percentage of White residents is higher in Saluda at 87% compared to 85% in Germantown.
- The Asian population is larger in Germantown at 5% compared to 0% in Saluda.
- The percentage of Hispanic residents is the same in both Germantown and Saluda at 2%.
- The percentage of residents identifying as two or more races is higher in Saluda at 7%, compared to 3% in Germantown.
- The percentage of American Indian residents is the same in both Germantown and Saluda at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Germantown | Saluda |
|---|---|---|
| Mental Health Not Good | 13.7% | 15.3% |
| Physical Health Not Good | 7.9% | 9.9% |
| Depression | 22.1% | 24.6% |
| Smoking | 10.1% | 14.4% |
| Binge Drinking | 18.8% | 18.8% |
| Obesity | 26.5% | 31.3% |
| Disability Percentage | 8.0% | 22.0% |
Health Statistics Comparison: Germantown vs Saluda
- In Saluda, a higher percentage report poor mental health at 15.3% compared to 13.7% in Germantown.
- Higher depression rates are seen in Saluda at 24.6% versus 22.1% in Germantown.
- Saluda has a higher smoking rate at 14.4% compared to 10.1% in Germantown.
- Binge drinking rates are similar in both Germantown and Saluda at 18.8%.
- Saluda has higher obesity rates at 31.3% compared to 26.5% in Germantown.
- There is a higher percentage of disabled individuals in Saluda at 22.0% compared to 8.0% in Germantown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Germantown | Saluda |
|---|---|---|
| No Schooling | 0.1% (57) | 0.9% (6) |
| High School Diploma | 5.2% (2,137) | 8.6% (55) |
| Less than High School | 1.9% (786) | 8.1% (52) |
| Bachelor's Degree and Higher | 47.7% (19,459) | 39.9% (256) |
Education Levels Comparison: Germantown vs Saluda
- In Saluda, a larger percentage of residents lack formal schooling at 0.9% compared to 0.1% in Germantown.
- In Saluda, the rate of residents with high school diplomas is higher at 8.6% compared to 5.2% in Germantown.
- The percentage of residents with less than a high school education is higher in Saluda at 8.1%, compared to 1.9% in Germantown.
- A higher percentage of residents in Germantown hold a bachelor's degree or higher at 47.7% compared to 39.9% in Saluda.
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.