Demographics details for Covington, VA vs Jefferson, WI
Population Overview
Compare main population characteristics in Covington, VA vs Jefferson, WI.
| Data | Covington | Jefferson |
|---|---|---|
| Population | 5,679 | 7,649 |
| Median Age | 41.9 years | 44.8 years |
| Median Income | $45,737 | $69,844 |
| Married Families | 43.0% | 37.0% |
| Poverty Level | 13% | 5% |
| Unemployment Rate | 4.1 | 3.5 |
Population Comparison: Covington vs Jefferson
- The population in Jefferson is higher at 7,649, compared to 5,679 in Covington.
- The median age in Jefferson is higher at 44.8 years, compared to 41.9 years in Covington.
- Jefferson has a higher median income of $69,844, compared to $45,737 in Covington.
- A higher percentage of married families is found in Covington at 43.0% compared to 37.0% in Jefferson.
- Covington has a higher poverty level at 13% compared to 5% in Jefferson.
- The unemployment rate in Covington is higher at 4.1%, compared to 3.5% in Jefferson.
Demographics
Demographics Covington vs Jefferson provide insight into the diversity of the communities to compare.
| Demographic | Covington | Jefferson |
|---|---|---|
| Black | 14 | 2 |
| White | 79 | 79 |
| Asian | 1 | Data is updating |
| Hispanic | 2 | 15 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Covington vs Jefferson
- A higher percentage of Black residents are in Covington at 14% compared to 2% in Jefferson.
- The percentage of White residents is the same in both Covington and Jefferson at 79%.
- The Asian population is larger in Covington at 1% compared to 0% in Jefferson.
- Jefferson has a higher percentage of Hispanic residents at 15%, compared to 2% in Covington.
- Both Covington and Jefferson have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Covington and Jefferson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Covington | Jefferson |
|---|---|---|
| Mental Health Not Good | 19.0% | 14.7% |
| Physical Health Not Good | 13.1% | 9.8% |
| Depression | 24.8% | 22.9% |
| Smoking | 21.6% | 15.3% |
| Binge Drinking | 16.6% | 24.2% |
| Obesity | 39.9% | 33.7% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Covington vs Jefferson
- More residents in Covington report poor mental health at 19.0% compared to 14.7% in Jefferson.
- Depression is more prevalent in Covington at 24.8% compared to 22.9% in Jefferson.
- Smoking is more prevalent in Covington at 21.6% compared to 15.3% in Jefferson.
- More residents engage in binge drinking in Jefferson at 24.2% compared to 16.6% in Covington.
- Obesity rates are higher in Covington at 39.9% compared to 33.7% in Jefferson.
- Disability percentages are the same in both Covington and Jefferson at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Covington | Jefferson |
|---|---|---|
| No Schooling | 0.2% (11) | 2.8% (215) |
| High School Diploma | 29.8% (1,691) | 24.4% (1,865) |
| Less than High School | 14.2% (808) | 13.3% (1,019) |
| Bachelor's Degree and Higher | 8.0% (455) | 16.4% (1,254) |
Education Levels Comparison: Covington vs Jefferson
- In Jefferson, a larger percentage of residents lack formal schooling at 2.8% compared to 0.2% in Covington.
- A higher percentage of residents in Covington hold a high school diploma at 29.8% compared to 24.4% in Jefferson.
- More residents in Covington have less than a high school education at 14.2% compared to 13.3% in Jefferson.
- In Jefferson, a larger share of residents have a bachelor's degree or higher at 16.4% 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.