Demographics details for Union city, TN vs London, KY
Population Overview
Compare main population characteristics in Union city, TN vs London, KY.
| Data | Union city | London |
|---|---|---|
| Population | 10,985 | 7,578 |
| Median Age | 37.4 years | 39.5 years |
| Median Income | $42,620 | $45,858 |
| Married Families | 35.0% | 35.0% |
| Poverty Level | 16% | 13% |
| Unemployment Rate | 4.2 | 3.8 |
Population Comparison: Union city vs London
- In Union city, the population is higher at 10,985, compared to 7,578 in London.
- The median age in London is higher at 39.5 years, compared to 37.4 years in Union city.
- London has a higher median income of $45,858, compared to $42,620 in Union city.
- The percentage of married families is the same in both Union city and London at 35.0%.
- Union city has a higher poverty level at 16% compared to 13% in London.
- The unemployment rate in Union city is higher at 4.2%, compared to 3.8% in London.
Demographics
Demographics Union city vs London provide insight into the diversity of the communities to compare.
| Demographic | Union city | London |
|---|---|---|
| Black | 23 | 2 |
| White | 61 | 93 |
| Asian | Data is updating | 1 |
| Hispanic | 8 | 2 |
| Two or More Races | 8 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Union city vs London
- A higher percentage of Black residents are in Union city at 23% compared to 2% in London.
- The percentage of White residents is higher in London at 93% compared to 61% in Union city.
- In London, the Asian population stands at 1%, greater than 0% in Union city.
- The Hispanic community is larger in Union city at 8% compared to 2% in London.
- More residents identify as two or more races in Union city at 8% compared to 2% in London.
- The percentage of American Indian residents is the same in both Union city and London at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Union city | London |
|---|---|---|
| Mental Health Not Good | 22.1% | 20.5% |
| Physical Health Not Good | 16.6% | 16.0% |
| Depression | 29.8% | 29.0% |
| Smoking | 27.9% | 24.5% |
| Binge Drinking | 13.0% | 14.8% |
| Obesity | 39.7% | 46.7% |
| Disability Percentage | 22.0% | 18.0% |
Health Statistics Comparison: Union city vs London
- More residents in Union city report poor mental health at 22.1% compared to 20.5% in London.
- Depression is more prevalent in Union city at 29.8% compared to 29.0% in London.
- Smoking is more prevalent in Union city at 27.9% compared to 24.5% in London.
- More residents engage in binge drinking in London at 14.8% compared to 13.0% in Union city.
- London has higher obesity rates at 46.7% compared to 39.7% in Union city.
- Disability percentages are higher in Union city at 22.0% compared to 18.0% in London.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Union city | London |
|---|---|---|
| No Schooling | 0.5% (60) | 1.2% (93) |
| High School Diploma | 21.0% (2,309) | 19.7% (1,496) |
| Less than High School | 18.4% (2,016) | 18.6% (1,409) |
| Bachelor's Degree and Higher | 12.8% (1,408) | 11.9% (900) |
Education Levels Comparison: Union city vs London
- In London, a larger percentage of residents lack formal schooling at 1.2% compared to 0.5% in Union city.
- A higher percentage of residents in Union city hold a high school diploma at 21.0% compared to 19.7% in London.
- The percentage of residents with less than a high school education is higher in London at 18.6%, compared to 18.4% in Union city.
- A higher percentage of residents in Union city hold a bachelor's degree or higher at 12.8% compared to 11.9% in London.
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.