Demographics details for Germantown, TN vs Hardy, KY
Population Overview
Compare main population characteristics in Germantown, TN vs Hardy, KY.
| Data | Germantown | Hardy |
|---|---|---|
| Population | 40,816 | 129 |
| Median Age | 43.5 years | 40.0 years |
| Median Income | $140,429 | $40,000 |
| Married Families | 53.0% | 30.0% |
| Poverty Level | 4% | 20% |
| Unemployment Rate | 2.9 | 5.0 |
Population Comparison: Germantown vs Hardy
- In Germantown, the population is higher at 40,816, compared to 129 in Hardy.
- Residents in Germantown have a higher median age of 43.5 years compared to 40.0 years in Hardy.
- Germantown has a higher median income of $140,429 compared to $40,000 in Hardy.
- A higher percentage of married families is found in Germantown at 53.0% compared to 30.0% in Hardy.
- The poverty level is higher in Hardy at 20%, compared to 4% in Germantown.
- Hardy has a higher unemployment rate at 5.0% compared to 2.9% in Germantown.
Demographics
Demographics Germantown vs Hardy provide insight into the diversity of the communities to compare.
| Demographic | Germantown | Hardy |
|---|---|---|
| Black | 5 | Data is updating |
| White | 85 | 100 |
| Asian | 5 | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | 3 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Germantown vs Hardy
- A higher percentage of Black residents are in Germantown at 5% compared to 0% in Hardy.
- The percentage of White residents is higher in Hardy at 100% compared to 85% in Germantown.
- The Asian population is larger in Germantown at 5% compared to 0% in Hardy.
- The Hispanic community is larger in Germantown at 2% compared to 0% in Hardy.
- More residents identify as two or more races in Germantown at 3% compared to 0% in Hardy.
- The percentage of American Indian residents is the same in both Germantown and Hardy at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Germantown | Hardy |
|---|---|---|
| Mental Health Not Good | 13.7% | Data is updating% |
| Physical Health Not Good | 7.9% | Data is updating% |
| Depression | 22.1% | Data is updating% |
| Smoking | 10.1% | Data is updating% |
| Binge Drinking | 18.8% | Data is updating% |
| Obesity | 26.5% | Data is updating% |
| Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Germantown vs Hardy
- More residents in Germantown report poor mental health at 13.7% compared to 0.0% in Hardy.
- Depression is more prevalent in Germantown at 22.1% compared to 0.0% in Hardy.
- Smoking is more prevalent in Germantown at 10.1% compared to 0.0% in Hardy.
- Binge drinking is more common in Germantown at 18.8% compared to 0.0% in Hardy.
- Obesity rates are higher in Germantown at 26.5% compared to 0.0% in Hardy.
- Disability percentages are higher in Germantown at 8.0% compared to 0.0% in Hardy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Germantown | Hardy |
|---|---|---|
| No Schooling | 0.1% (57) | 0.0% (Data is updating) |
| High School Diploma | 5.2% (2,137) | 0.0% (Data is updating) |
| Less than High School | 1.9% (786) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 47.7% (19,459) | 0.0% (Data is updating) |
Education Levels Comparison: Germantown vs Hardy
- A higher percentage of residents in Germantown have no formal schooling at 0.1% compared to 0.0% in Hardy.
- A higher percentage of residents in Germantown hold a high school diploma at 5.2% compared to 0.0% in Hardy.
- More residents in Germantown have less than a high school education at 1.9% compared to 0.0% in Hardy.
- A higher percentage of residents in Germantown hold a bachelor's degree or higher at 47.7% compared to 0.0% in Hardy.
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.