Demographics details for Virginia beach, VA vs Plainfield, IL
Population Overview
Compare main population characteristics in Virginia beach, VA vs Plainfield, IL.
Data | Virginia beach | Plainfield |
---|---|---|
Population | 455,618 | 46,243 |
Median Age | 37.1 years | 37.7 years |
Median Income | $87,544 | $143,064 |
Married Families | 42.0% | 46.0% |
Poverty Level | 10% | 7% |
Unemployment Rate | 2.8 | 5.6 |
Population Comparison: Virginia beach vs Plainfield
- In Virginia beach, the population is higher at 455,618, compared to 46,243 in Plainfield.
- The median age in Plainfield is higher at 37.7 years, compared to 37.1 years in Virginia beach.
- Plainfield has a higher median income of $143,064, compared to $87,544 in Virginia beach.
- In Plainfield, the percentage of married families is higher at 46.0%, compared to 42.0% in Virginia beach.
- Virginia beach has a higher poverty level at 10% compared to 7% in Plainfield.
- Plainfield has a higher unemployment rate at 5.6% compared to 2.8% in Virginia beach.
Demographics
Demographics Virginia beach vs Plainfield provide insight into the diversity of the communities to compare.
Demographic | Virginia beach | Plainfield |
---|---|---|
Black | 19 | 9 |
White | 56 | 69 |
Asian | 7 | 9 |
Hispanic | 9 | 8 |
Two or More Races | 9 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Virginia beach vs Plainfield
- A higher percentage of Black residents are in Virginia beach at 19% compared to 9% in Plainfield.
- The percentage of White residents is higher in Plainfield at 69% compared to 56% in Virginia beach.
- In Plainfield, the Asian population stands at 9%, greater than 7% in Virginia beach.
- The Hispanic community is larger in Virginia beach at 9% compared to 8% in Plainfield.
- More residents identify as two or more races in Virginia beach at 9% compared to 5% in Plainfield.
- The percentage of American Indian residents is the same in both Virginia beach and Plainfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Virginia beach | Plainfield |
---|---|---|
Mental Health Not Good | 14.5% | 12.7% |
Physical Health Not Good | 9.3% | 8.0% |
Depression | 20.4% | 17.8% |
Smoking | 13.7% | 10.8% |
Binge Drinking | 16.8% | 17.9% |
Obesity | 31.5% | 30.4% |
Disability Percentage | 11.0% | 8.0% |
Health Statistics Comparison: Virginia beach vs Plainfield
- More residents in Virginia beach report poor mental health at 14.5% compared to 12.7% in Plainfield.
- Depression is more prevalent in Virginia beach at 20.4% compared to 17.8% in Plainfield.
- Smoking is more prevalent in Virginia beach at 13.7% compared to 10.8% in Plainfield.
- More residents engage in binge drinking in Plainfield at 17.9% compared to 16.8% in Virginia beach.
- Obesity rates are higher in Virginia beach at 31.5% compared to 30.4% in Plainfield.
- Disability percentages are higher in Virginia beach at 11.0% compared to 8.0% in Plainfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Virginia beach | Plainfield |
---|---|---|
No Schooling | 0.6% (2,931) | 0.5% (213) |
High School Diploma | 11.8% (53,968) | 8.9% (4,121) |
Less than High School | 6.0% (27,564) | 4.8% (2,237) |
Bachelor's Degree and Higher | 27.6% (125,790) | 33.1% (15,293) |
Education Levels Comparison: Virginia beach vs Plainfield
- A higher percentage of residents in Virginia beach have no formal schooling at 0.6% compared to 0.5% in Plainfield.
- A higher percentage of residents in Virginia beach hold a high school diploma at 11.8% compared to 8.9% in Plainfield.
- More residents in Virginia beach have less than a high school education at 6.0% compared to 4.8% in Plainfield.
- In Plainfield, a larger share of residents have a bachelor's degree or higher at 33.1% compared to 27.6% in Virginia beach.
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.