Demographics details for Virginia beach, VA vs Ellijay, GA
Population Overview
Compare main population characteristics in Virginia beach, VA vs Ellijay, GA.
Data | Virginia beach | Ellijay |
---|---|---|
Population | 455,618 | 1,927 |
Median Age | 37.1 years | 45.4 years |
Median Income | $87,544 | $37,227 |
Married Families | 42.0% | 31.0% |
Poverty Level | 10% | 13% |
Unemployment Rate | 2.8 | 2.8 |
Population Comparison: Virginia beach vs Ellijay
- In Virginia beach, the population is higher at 455,618, compared to 1,927 in Ellijay.
- The median age in Ellijay is higher at 45.4 years, compared to 37.1 years in Virginia beach.
- Virginia beach has a higher median income of $87,544 compared to $37,227 in Ellijay.
- A higher percentage of married families is found in Virginia beach at 42.0% compared to 31.0% in Ellijay.
- The poverty level is higher in Ellijay at 13%, compared to 10% in Virginia beach.
- The unemployment rate is the same in both Virginia beach and Ellijay at 2.8%.
Demographics
Demographics Virginia beach vs Ellijay provide insight into the diversity of the communities to compare.
Demographic | Virginia beach | Ellijay |
---|---|---|
Black | 19 | 1 |
White | 56 | 70 |
Asian | 7 | Data is updating |
Hispanic | 9 | 21 |
Two or More Races | 9 | 4 |
American Indian | Data is updating | 4 |
Demographics Comparison: Virginia beach vs Ellijay
- A higher percentage of Black residents are in Virginia beach at 19% compared to 1% in Ellijay.
- The percentage of White residents is higher in Ellijay at 70% compared to 56% in Virginia beach.
- The Asian population is larger in Virginia beach at 7% compared to 0% in Ellijay.
- Ellijay has a higher percentage of Hispanic residents at 21%, compared to 9% in Virginia beach.
- More residents identify as two or more races in Virginia beach at 9% compared to 4% in Ellijay.
- In Ellijay, the percentage of American Indian residents is higher at 4%, compared to 0% in Virginia beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Virginia beach | Ellijay |
---|---|---|
Mental Health Not Good | 14.5% | 17.8% |
Physical Health Not Good | 9.3% | 14.2% |
Depression | 20.4% | 24.3% |
Smoking | 13.7% | 19.6% |
Binge Drinking | 16.8% | 16.0% |
Obesity | 31.5% | 37.5% |
Disability Percentage | 11.0% | 22.0% |
Health Statistics Comparison: Virginia beach vs Ellijay
- In Ellijay, a higher percentage report poor mental health at 17.8% compared to 14.5% in Virginia beach.
- Higher depression rates are seen in Ellijay at 24.3% versus 20.4% in Virginia beach.
- Ellijay has a higher smoking rate at 19.6% compared to 13.7% in Virginia beach.
- Binge drinking is more common in Virginia beach at 16.8% compared to 16.0% in Ellijay.
- Ellijay has higher obesity rates at 37.5% compared to 31.5% in Virginia beach.
- There is a higher percentage of disabled individuals in Ellijay at 22.0% compared to 11.0% in Virginia beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Virginia beach | Ellijay |
---|---|---|
No Schooling | 0.6% (2,931) | 2.6% (50) |
High School Diploma | 11.8% (53,968) | 19.3% (371) |
Less than High School | 6.0% (27,564) | 23.2% (448) |
Bachelor's Degree and Higher | 27.6% (125,790) | 9.4% (181) |
Education Levels Comparison: Virginia beach vs Ellijay
- In Ellijay, a larger percentage of residents lack formal schooling at 2.6% compared to 0.6% in Virginia beach.
- In Ellijay, the rate of residents with high school diplomas is higher at 19.3% compared to 11.8% in Virginia beach.
- The percentage of residents with less than a high school education is higher in Ellijay at 23.2%, compared to 6.0% in Virginia beach.
- A higher percentage of residents in Virginia beach hold a bachelor's degree or higher at 27.6% compared to 9.4% in Ellijay.
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.