Demographics details for Lexington, TN vs Bluefield, WV
Population Overview
Compare main population characteristics in Lexington, TN vs Bluefield, WV.
Data | Lexington | Bluefield |
---|---|---|
Population | 7,952 | 9,408 |
Median Age | 36.6 years | 43.9 years |
Median Income | $45,877 | $45,854 |
Married Families | 35.0% | 36.0% |
Poverty Level | 13% | 12% |
Unemployment Rate | 4.2 | 3.1 |
Population Comparison: Lexington vs Bluefield
- The population in Bluefield is higher at 9,408, compared to 7,952 in Lexington.
- The median age in Bluefield is higher at 43.9 years, compared to 36.6 years in Lexington.
- Lexington has a higher median income of $45,877 compared to $45,854 in Bluefield.
- In Bluefield, the percentage of married families is higher at 36.0%, compared to 35.0% in Lexington.
- Lexington has a higher poverty level at 13% compared to 12% in Bluefield.
- The unemployment rate in Lexington is higher at 4.2%, compared to 3.1% in Bluefield.
Demographics
Demographics Lexington vs Bluefield provide insight into the diversity of the communities to compare.
Demographic | Lexington | Bluefield |
---|---|---|
Black | 17 | 23 |
White | 81 | 66 |
Asian | Data is updating | Data is updating |
Hispanic | 1 | 3 |
Two or More Races | 1 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Lexington vs Bluefield
- In Bluefield, the percentage of Black residents is higher at 23% compared to 17% in Lexington.
- Lexington has a higher percentage of White residents at 81% compared to 66% in Bluefield.
- Both Lexington and Bluefield have the same percentage of Asian residents at 0%.
- Bluefield has a higher percentage of Hispanic residents at 3%, compared to 1% in Lexington.
- The percentage of residents identifying as two or more races is higher in Bluefield at 8%, compared to 1% in Lexington.
- The percentage of American Indian residents is the same in both Lexington and Bluefield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lexington | Bluefield |
---|---|---|
Mental Health Not Good | 21.6% | 22.1% |
Physical Health Not Good | 15.3% | 15.9% |
Depression | 30.4% | 28.4% |
Smoking | 26.1% | 21.4% |
Binge Drinking | 14.4% | 12.0% |
Obesity | 39.9% | 46.3% |
Disability Percentage | 14.0% | 27.0% |
Health Statistics Comparison: Lexington vs Bluefield
- In Bluefield, a higher percentage report poor mental health at 22.1% compared to 21.6% in Lexington.
- Depression is more prevalent in Lexington at 30.4% compared to 28.4% in Bluefield.
- Smoking is more prevalent in Lexington at 26.1% compared to 21.4% in Bluefield.
- Binge drinking is more common in Lexington at 14.4% compared to 12.0% in Bluefield.
- Bluefield has higher obesity rates at 46.3% compared to 39.9% in Lexington.
- There is a higher percentage of disabled individuals in Bluefield at 27.0% compared to 14.0% in Lexington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lexington | Bluefield |
---|---|---|
No Schooling | 0.4% (29) | 0.2% (21) |
High School Diploma | 22.4% (1,783) | 19.0% (1,788) |
Less than High School | 14.6% (1,159) | 16.0% (1,505) |
Bachelor's Degree and Higher | 9.3% (740) | 19.4% (1,826) |
Education Levels Comparison: Lexington vs Bluefield
- A higher percentage of residents in Lexington have no formal schooling at 0.4% compared to 0.2% in Bluefield.
- A higher percentage of residents in Lexington hold a high school diploma at 22.4% compared to 19.0% in Bluefield.
- The percentage of residents with less than a high school education is higher in Bluefield at 16.0%, compared to 14.6% in Lexington.
- In Bluefield, a larger share of residents have a bachelor's degree or higher at 19.4% compared to 9.3% in Lexington.
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.