Demographics details for Pesotum, IL vs Virginia beach, VA
Population Overview
Compare main population characteristics in Pesotum, IL vs Virginia beach, VA.
Data | Pesotum | Virginia beach |
---|---|---|
Population | 547 | 455,618 |
Median Age | 43.6 years | 37.1 years |
Median Income | $80,938 | $87,544 |
Married Families | 42.0% | 42.0% |
Poverty Level | 5% | 10% |
Unemployment Rate | 2.5 | 2.8 |
Population Comparison: Pesotum vs Virginia beach
- The population in Virginia beach is higher at 455,618, compared to 547 in Pesotum.
- Residents in Pesotum have a higher median age of 43.6 years compared to 37.1 years in Virginia beach.
- Virginia beach has a higher median income of $87,544, compared to $80,938 in Pesotum.
- The percentage of married families is the same in both Pesotum and Virginia beach at 42.0%.
- The poverty level is higher in Virginia beach at 10%, compared to 5% in Pesotum.
- Virginia beach has a higher unemployment rate at 2.8% compared to 2.5% in Pesotum.
Demographics
Demographics Pesotum vs Virginia beach provide insight into the diversity of the communities to compare.
Demographic | Pesotum | Virginia beach |
---|---|---|
Black | Data is updating | 19 |
White | 95 | 56 |
Asian | Data is updating | 7 |
Hispanic | 2 | 9 |
Two or More Races | 2 | 9 |
American Indian | 1 | Data is updating |
Demographics Comparison: Pesotum vs Virginia beach
- In Virginia beach, the percentage of Black residents is higher at 19% compared to 0% in Pesotum.
- Pesotum has a higher percentage of White residents at 95% compared to 56% in Virginia beach.
- In Virginia beach, the Asian population stands at 7%, greater than 0% in Pesotum.
- Virginia beach has a higher percentage of Hispanic residents at 9%, compared to 2% in Pesotum.
- The percentage of residents identifying as two or more races is higher in Virginia beach at 9%, compared to 2% in Pesotum.
- A greater percentage of American Indian residents live in Pesotum at 1% compared to 0% in Virginia beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pesotum | Virginia beach |
---|---|---|
Mental Health Not Good | 15.5% | 14.5% |
Physical Health Not Good | 9.9% | 9.3% |
Depression | 21.9% | 20.4% |
Smoking | 15.0% | 13.7% |
Binge Drinking | 19.0% | 16.8% |
Obesity | 30.9% | 31.5% |
Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Pesotum vs Virginia beach
- More residents in Pesotum report poor mental health at 15.5% compared to 14.5% in Virginia beach.
- Depression is more prevalent in Pesotum at 21.9% compared to 20.4% in Virginia beach.
- Smoking is more prevalent in Pesotum at 15.0% compared to 13.7% in Virginia beach.
- Binge drinking is more common in Pesotum at 19.0% compared to 16.8% in Virginia beach.
- Virginia beach has higher obesity rates at 31.5% compared to 30.9% in Pesotum.
- Disability percentages are the same in both Pesotum and Virginia beach at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pesotum | Virginia beach |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.6% (2,931) |
High School Diploma | 26.1% (143) | 11.8% (53,968) |
Less than High School | 4.4% (24) | 6.0% (27,564) |
Bachelor's Degree and Higher | 16.5% (90) | 27.6% (125,790) |
Education Levels Comparison: Pesotum vs Virginia beach
- In Virginia beach, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Pesotum.
- A higher percentage of residents in Pesotum hold a high school diploma at 26.1% compared to 11.8% in Virginia beach.
- The percentage of residents with less than a high school education is higher in Virginia beach at 6.0%, compared to 4.4% in Pesotum.
- In Virginia beach, a larger share of residents have a bachelor's degree or higher at 27.6% compared to 16.5% in Pesotum.
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.