Demographics details for Germantown, TN vs Lynn, MA
Population Overview
Compare main population characteristics in Germantown, TN vs Lynn, MA.
| Data | Germantown | Lynn |
|---|---|---|
| Population | 40,816 | 100,891 |
| Median Age | 43.5 years | 36.2 years |
| Median Income | $140,429 | $70,046 |
| Married Families | 53.0% | 31.0% |
| Poverty Level | 4% | 12% |
| Unemployment Rate | 2.9 | 4.6 |
Population Comparison: Germantown vs Lynn
- The population in Lynn is higher at 100,891, compared to 40,816 in Germantown.
- Residents in Germantown have a higher median age of 43.5 years compared to 36.2 years in Lynn.
- Germantown has a higher median income of $140,429 compared to $70,046 in Lynn.
- A higher percentage of married families is found in Germantown at 53.0% compared to 31.0% in Lynn.
- The poverty level is higher in Lynn at 12%, compared to 4% in Germantown.
- Lynn has a higher unemployment rate at 4.6% compared to 2.9% in Germantown.
Demographics
Demographics Germantown vs Lynn provide insight into the diversity of the communities to compare.
| Demographic | Germantown | Lynn |
|---|---|---|
| Black | 5 | 13 |
| White | 85 | 25 |
| Asian | 5 | 6 |
| Hispanic | 2 | 43 |
| Two or More Races | 3 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Germantown vs Lynn
- In Lynn, the percentage of Black residents is higher at 13% compared to 5% in Germantown.
- Germantown has a higher percentage of White residents at 85% compared to 25% in Lynn.
- In Lynn, the Asian population stands at 6%, greater than 5% in Germantown.
- Lynn has a higher percentage of Hispanic residents at 43%, compared to 2% in Germantown.
- The percentage of residents identifying as two or more races is higher in Lynn at 12%, compared to 3% in Germantown.
- In Lynn, the percentage of American Indian residents is higher at 1%, compared to 0% in Germantown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Germantown | Lynn |
|---|---|---|
| Mental Health Not Good | 13.7% | 18.5% |
| Physical Health Not Good | 7.9% | 12.1% |
| Depression | 22.1% | 22.9% |
| Smoking | 10.1% | 17.3% |
| Binge Drinking | 18.8% | 15.6% |
| Obesity | 26.5% | 33.7% |
| Disability Percentage | 8.0% | 15.0% |
Health Statistics Comparison: Germantown vs Lynn
- In Lynn, a higher percentage report poor mental health at 18.5% compared to 13.7% in Germantown.
- Higher depression rates are seen in Lynn at 22.9% versus 22.1% in Germantown.
- Lynn has a higher smoking rate at 17.3% compared to 10.1% in Germantown.
- Binge drinking is more common in Germantown at 18.8% compared to 15.6% in Lynn.
- Lynn has higher obesity rates at 33.7% compared to 26.5% in Germantown.
- There is a higher percentage of disabled individuals in Lynn at 15.0% 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 | Lynn |
|---|---|---|
| No Schooling | 0.1% (57) | 3.6% (3,642) |
| High School Diploma | 5.2% (2,137) | 17.3% (17,461) |
| Less than High School | 1.9% (786) | 27.3% (27,554) |
| Bachelor's Degree and Higher | 47.7% (19,459) | 14.4% (14,513) |
Education Levels Comparison: Germantown vs Lynn
- In Lynn, a larger percentage of residents lack formal schooling at 3.6% compared to 0.1% in Germantown.
- In Lynn, the rate of residents with high school diplomas is higher at 17.3% compared to 5.2% in Germantown.
- The percentage of residents with less than a high school education is higher in Lynn at 27.3%, 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 14.4% in Lynn.
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.