Demographics details for Waverly, TN vs Forest city, NC
Population Overview
Compare main population characteristics in Waverly, TN vs Forest city, NC.
| Data | Waverly | Forest city |
|---|---|---|
| Population | 4,297 | 7,358 |
| Median Age | 46.7 years | 32.8 years |
| Median Income | $43,750 | $35,232 |
| Married Families | 35.0% | 21.0% |
| Poverty Level | 12% | 11% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Waverly vs Forest city
- The population in Forest city is higher at 7,358, compared to 4,297 in Waverly.
- Residents in Waverly have a higher median age of 46.7 years compared to 32.8 years in Forest city.
- Waverly has a higher median income of $43,750 compared to $35,232 in Forest city.
- A higher percentage of married families is found in Waverly at 35.0% compared to 21.0% in Forest city.
- Waverly has a higher poverty level at 12% compared to 11% in Forest city.
- The unemployment rate is the same in both Waverly and Forest city at 4.5%.
Demographics
Demographics Waverly vs Forest city provide insight into the diversity of the communities to compare.
| Demographic | Waverly | Forest city |
|---|---|---|
| Black | 2 | 28 |
| White | 91 | 57 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 8 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Waverly vs Forest city
- In Forest city, the percentage of Black residents is higher at 28% compared to 2% in Waverly.
- Waverly has a higher percentage of White residents at 91% compared to 57% in Forest city.
- In Forest city, the Asian population stands at 2%, greater than 0% in Waverly.
- Forest city has a higher percentage of Hispanic residents at 8%, compared to 2% in Waverly.
- Both Waverly and Forest city have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Waverly and Forest city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Waverly | Forest city |
|---|---|---|
| Mental Health Not Good | 19.9% | 19.0% |
| Physical Health Not Good | 13.9% | 14.4% |
| Depression | 28.8% | 24.4% |
| Smoking | 23.6% | 22.1% |
| Binge Drinking | 15.6% | 15.2% |
| Obesity | 37.8% | 41.2% |
| Disability Percentage | 19.0% | 23.0% |
Health Statistics Comparison: Waverly vs Forest city
- More residents in Waverly report poor mental health at 19.9% compared to 19.0% in Forest city.
- Depression is more prevalent in Waverly at 28.8% compared to 24.4% in Forest city.
- Smoking is more prevalent in Waverly at 23.6% compared to 22.1% in Forest city.
- Binge drinking is more common in Waverly at 15.6% compared to 15.2% in Forest city.
- Forest city has higher obesity rates at 41.2% compared to 37.8% in Waverly.
- There is a higher percentage of disabled individuals in Forest city at 23.0% compared to 19.0% in Waverly.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Waverly | Forest city |
|---|---|---|
| No Schooling | 1.0% (41) | 0.9% (63) |
| High School Diploma | 18.4% (792) | 15.5% (1,140) |
| Less than High School | 21.9% (943) | 13.0% (956) |
| Bachelor's Degree and Higher | 16.5% (709) | 10.7% (785) |
Education Levels Comparison: Waverly vs Forest city
- A higher percentage of residents in Waverly have no formal schooling at 1.0% compared to 0.9% in Forest city.
- A higher percentage of residents in Waverly hold a high school diploma at 18.4% compared to 15.5% in Forest city.
- More residents in Waverly have less than a high school education at 21.9% compared to 13.0% in Forest city.
- A higher percentage of residents in Waverly hold a bachelor's degree or higher at 16.5% compared to 10.7% in Forest city.
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.