Demographics details for Covington, VA vs Swan lake, NY
Population Overview
Compare main population characteristics in Covington, VA vs Swan lake, NY.
Data | Covington | Swan lake |
---|---|---|
Population | 5,679 | 331 |
Median Age | 41.9 years | 40.0 years |
Median Income | $45,737 | $55,000 |
Married Families | 43.0% | 52.0% |
Poverty Level | 13% | 5% |
Unemployment Rate | 4.1 | 3.0 |
Population Comparison: Covington vs Swan lake
- In Covington, the population is higher at 5,679, compared to 331 in Swan lake.
- Residents in Covington have a higher median age of 41.9 years compared to 40.0 years in Swan lake.
- Swan lake has a higher median income of $55,000, compared to $45,737 in Covington.
- In Swan lake, the percentage of married families is higher at 52.0%, compared to 43.0% in Covington.
- Covington has a higher poverty level at 13% compared to 5% in Swan lake.
- The unemployment rate in Covington is higher at 4.1%, compared to 3.0% in Swan lake.
Demographics
Demographics Covington vs Swan lake provide insight into the diversity of the communities to compare.
Demographic | Covington | Swan lake |
---|---|---|
Black | 14 | 5 |
White | 79 | 80 |
Asian | 1 | 10 |
Hispanic | 2 | 5 |
Two or More Races | 4 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Covington vs Swan lake
- A higher percentage of Black residents are in Covington at 14% compared to 5% in Swan lake.
- The percentage of White residents is higher in Swan lake at 80% compared to 79% in Covington.
- In Swan lake, the Asian population stands at 10%, greater than 1% in Covington.
- Swan lake has a higher percentage of Hispanic residents at 5%, compared to 2% in Covington.
- More residents identify as two or more races in Covington at 4% compared to 0% in Swan lake.
- The percentage of American Indian residents is the same in both Covington and Swan lake at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Covington | Swan lake |
---|---|---|
Mental Health Not Good | 19.0% | Data is updating% |
Physical Health Not Good | 13.1% | Data is updating% |
Depression | 24.8% | Data is updating% |
Smoking | 21.6% | Data is updating% |
Binge Drinking | 16.6% | Data is updating% |
Obesity | 39.9% | Data is updating% |
Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Covington vs Swan lake
- More residents in Covington report poor mental health at 19.0% compared to 0.0% in Swan lake.
- Depression is more prevalent in Covington at 24.8% compared to 0.0% in Swan lake.
- Smoking is more prevalent in Covington at 21.6% compared to 0.0% in Swan lake.
- Binge drinking is more common in Covington at 16.6% compared to 0.0% in Swan lake.
- Obesity rates are higher in Covington at 39.9% compared to 0.0% in Swan lake.
- Disability percentages are higher in Covington at 13.0% compared to 0.0% in Swan lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Covington | Swan lake |
---|---|---|
No Schooling | 0.2% (11) | 0.0% (Data is updating) |
High School Diploma | 29.8% (1,691) | 0.0% (Data is updating) |
Less than High School | 14.2% (808) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 8.0% (455) | 0.0% (Data is updating) |
Education Levels Comparison: Covington vs Swan lake
- A higher percentage of residents in Covington have no formal schooling at 0.2% compared to 0.0% in Swan lake.
- A higher percentage of residents in Covington hold a high school diploma at 29.8% compared to 0.0% in Swan lake.
- More residents in Covington have less than a high school education at 14.2% compared to 0.0% in Swan lake.
- A higher percentage of residents in Covington hold a bachelor's degree or higher at 8.0% compared to 0.0% in Swan lake.
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.