Demographics details for Waverly, TN vs Lexington, NC
Population Overview
Compare main population characteristics in Waverly, TN vs Lexington, NC.
| Data | Waverly | Lexington |
|---|---|---|
| Population | 4,297 | 19,679 |
| Median Age | 46.7 years | 38.6 years |
| Median Income | $43,750 | $36,868 |
| Married Families | 35.0% | 31.0% |
| Poverty Level | 12% | 15% |
| Unemployment Rate | 4.5 | 5.2 |
Population Comparison: Waverly vs Lexington
- The population in Lexington is higher at 19,679, compared to 4,297 in Waverly.
- Residents in Waverly have a higher median age of 46.7 years compared to 38.6 years in Lexington.
- Waverly has a higher median income of $43,750 compared to $36,868 in Lexington.
- A higher percentage of married families is found in Waverly at 35.0% compared to 31.0% in Lexington.
- The poverty level is higher in Lexington at 15%, compared to 12% in Waverly.
- Lexington has a higher unemployment rate at 5.2% compared to 4.5% in Waverly.
Demographics
Demographics Waverly vs Lexington provide insight into the diversity of the communities to compare.
| Demographic | Waverly | Lexington |
|---|---|---|
| Black | 2 | 31 |
| White | 91 | 38 |
| Asian | Data is updating | 4 |
| Hispanic | 2 | 16 |
| Two or More Races | 5 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waverly vs Lexington
- In Lexington, the percentage of Black residents is higher at 31% compared to 2% in Waverly.
- Waverly has a higher percentage of White residents at 91% compared to 38% in Lexington.
- In Lexington, the Asian population stands at 4%, greater than 0% in Waverly.
- Lexington has a higher percentage of Hispanic residents at 16%, compared to 2% in Waverly.
- The percentage of residents identifying as two or more races is higher in Lexington at 11%, compared to 5% in Waverly.
- The percentage of American Indian residents is the same in both Waverly and Lexington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waverly | Lexington |
|---|---|---|
| Mental Health Not Good | 19.9% | 19.2% |
| Physical Health Not Good | 13.9% | 15.5% |
| Depression | 28.8% | 25.0% |
| Smoking | 23.6% | 24.1% |
| Binge Drinking | 15.6% | 13.8% |
| Obesity | 37.8% | 42.7% |
| Disability Percentage | 19.0% | 18.0% |
Health Statistics Comparison: Waverly vs Lexington
- More residents in Waverly report poor mental health at 19.9% compared to 19.2% in Lexington.
- Depression is more prevalent in Waverly at 28.8% compared to 25.0% in Lexington.
- Lexington has a higher smoking rate at 24.1% compared to 23.6% in Waverly.
- Binge drinking is more common in Waverly at 15.6% compared to 13.8% in Lexington.
- Lexington has higher obesity rates at 42.7% compared to 37.8% in Waverly.
- Disability percentages are higher in Waverly at 19.0% compared to 18.0% in Lexington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waverly | Lexington |
|---|---|---|
| No Schooling | 1.0% (41) | 2.7% (531) |
| High School Diploma | 18.4% (792) | 17.0% (3,355) |
| Less than High School | 21.9% (943) | 25.6% (5,036) |
| Bachelor's Degree and Higher | 16.5% (709) | 10.2% (2,009) |
Education Levels Comparison: Waverly vs Lexington
- In Lexington, a larger percentage of residents lack formal schooling at 2.7% compared to 1.0% in Waverly.
- A higher percentage of residents in Waverly hold a high school diploma at 18.4% compared to 17.0% in Lexington.
- The percentage of residents with less than a high school education is higher in Lexington at 25.6%, compared to 21.9% in Waverly.
- A higher percentage of residents in Waverly hold a bachelor's degree or higher at 16.5% compared to 10.2% 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.