Demographics details for Covington, VA vs Forest city, NC
Population Overview
Compare main population characteristics in Covington, VA vs Forest city, NC.
| Data | Covington | Forest city |
|---|---|---|
| Population | 5,679 | 7,358 |
| Median Age | 41.9 years | 32.8 years |
| Median Income | $45,737 | $35,232 |
| Married Families | 43.0% | 21.0% |
| Poverty Level | 13% | 11% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Covington vs Forest city
- The population in Forest city is higher at 7,358, compared to 5,679 in Covington.
- Residents in Covington have a higher median age of 41.9 years compared to 32.8 years in Forest city.
- Covington has a higher median income of $45,737 compared to $35,232 in Forest city.
- A higher percentage of married families is found in Covington at 43.0% compared to 21.0% in Forest city.
- Covington has a higher poverty level at 13% compared to 11% in Forest city.
- Forest city has a higher unemployment rate at 4.5% compared to 4.1% in Covington.
Demographics
Demographics Covington vs Forest city provide insight into the diversity of the communities to compare.
| Demographic | Covington | Forest city |
|---|---|---|
| Black | 14 | 28 |
| White | 79 | 57 |
| Asian | 1 | 2 |
| Hispanic | 2 | 8 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Covington vs Forest city
- In Forest city, the percentage of Black residents is higher at 28% compared to 14% in Covington.
- Covington has a higher percentage of White residents at 79% compared to 57% in Forest city.
- In Forest city, the Asian population stands at 2%, greater than 1% in Covington.
- Forest city has a higher percentage of Hispanic residents at 8%, compared to 2% in Covington.
- The percentage of residents identifying as two or more races is higher in Forest city at 5%, compared to 4% in Covington.
- The percentage of American Indian residents is the same in both Covington and Forest city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Covington | Forest city |
|---|---|---|
| Mental Health Not Good | 19.0% | 19.0% |
| Physical Health Not Good | 13.1% | 14.4% |
| Depression | 24.8% | 24.4% |
| Smoking | 21.6% | 22.1% |
| Binge Drinking | 16.6% | 15.2% |
| Obesity | 39.9% | 41.2% |
| Disability Percentage | 13.0% | 23.0% |
Health Statistics Comparison: Covington vs Forest city
- Poor mental health levels are equal in both Covington and Forest city at 19.0%.
- Depression is more prevalent in Covington at 24.8% compared to 24.4% in Forest city.
- Forest city has a higher smoking rate at 22.1% compared to 21.6% in Covington.
- Binge drinking is more common in Covington at 16.6% compared to 15.2% in Forest city.
- Forest city has higher obesity rates at 41.2% compared to 39.9% in Covington.
- There is a higher percentage of disabled individuals in Forest city at 23.0% compared to 13.0% in Covington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Covington | Forest city |
|---|---|---|
| No Schooling | 0.2% (11) | 0.9% (63) |
| High School Diploma | 29.8% (1,691) | 15.5% (1,140) |
| Less than High School | 14.2% (808) | 13.0% (956) |
| Bachelor's Degree and Higher | 8.0% (455) | 10.7% (785) |
Education Levels Comparison: Covington vs Forest city
- In Forest city, a larger percentage of residents lack formal schooling at 0.9% compared to 0.2% in Covington.
- A higher percentage of residents in Covington hold a high school diploma at 29.8% compared to 15.5% in Forest city.
- More residents in Covington have less than a high school education at 14.2% compared to 13.0% in Forest city.
- In Forest city, a larger share of residents have a bachelor's degree or higher at 10.7% compared to 8.0% in Covington.
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.