Demographics details for Roselle, IL vs Christiansburg, VA
Population Overview
Compare main population characteristics in Roselle, IL vs Christiansburg, VA.
Data | Roselle | Christiansburg |
---|---|---|
Population | 22,505 | 22,562 |
Median Age | 42.2 years | 39.1 years |
Median Income | $104,167 | $71,468 |
Married Families | 50.0% | 45.0% |
Poverty Level | 4% | 9% |
Unemployment Rate | 3.1 | 3.2 |
Population Comparison: Roselle vs Christiansburg
- The population in Christiansburg is higher at 22,562, compared to 22,505 in Roselle.
- Residents in Roselle have a higher median age of 42.2 years compared to 39.1 years in Christiansburg.
- Roselle has a higher median income of $104,167 compared to $71,468 in Christiansburg.
- A higher percentage of married families is found in Roselle at 50.0% compared to 45.0% in Christiansburg.
- The poverty level is higher in Christiansburg at 9%, compared to 4% in Roselle.
- Christiansburg has a higher unemployment rate at 3.2% compared to 3.1% in Roselle.
Demographics
Demographics Roselle vs Christiansburg provide insight into the diversity of the communities to compare.
Demographic | Roselle | Christiansburg |
---|---|---|
Black | 1 | 5 |
White | 72 | 84 |
Asian | 10 | 4 |
Hispanic | 9 | 3 |
Two or More Races | 7 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Roselle vs Christiansburg
- In Christiansburg, the percentage of Black residents is higher at 5% compared to 1% in Roselle.
- The percentage of White residents is higher in Christiansburg at 84% compared to 72% in Roselle.
- The Asian population is larger in Roselle at 10% compared to 4% in Christiansburg.
- The Hispanic community is larger in Roselle at 9% compared to 3% in Christiansburg.
- More residents identify as two or more races in Roselle at 7% compared to 4% in Christiansburg.
- A greater percentage of American Indian residents live in Roselle at 1% compared to 0% in Christiansburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Roselle | Christiansburg |
---|---|---|
Mental Health Not Good | 13.4% | 16.1% |
Physical Health Not Good | 8.7% | 9.9% |
Depression | 18.3% | 25.8% |
Smoking | 12.4% | 14.4% |
Binge Drinking | 17.5% | 19.2% |
Obesity | 30.3% | 30.3% |
Disability Percentage | 8.0% | 17.0% |
Health Statistics Comparison: Roselle vs Christiansburg
- In Christiansburg, a higher percentage report poor mental health at 16.1% compared to 13.4% in Roselle.
- Higher depression rates are seen in Christiansburg at 25.8% versus 18.3% in Roselle.
- Christiansburg has a higher smoking rate at 14.4% compared to 12.4% in Roselle.
- More residents engage in binge drinking in Christiansburg at 19.2% compared to 17.5% in Roselle.
- Both cities have the same obesity rates at 30.3%.
- There is a higher percentage of disabled individuals in Christiansburg at 17.0% compared to 8.0% in Roselle.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Roselle | Christiansburg |
---|---|---|
No Schooling | 0.9% (213) | 0.3% (66) |
High School Diploma | 16.3% (3,670) | 14.0% (3,152) |
Less than High School | 10.2% (2,304) | 8.1% (1,827) |
Bachelor's Degree and Higher | 28.7% (6,459) | 31.9% (7,193) |
Education Levels Comparison: Roselle vs Christiansburg
- A higher percentage of residents in Roselle have no formal schooling at 0.9% compared to 0.3% in Christiansburg.
- A higher percentage of residents in Roselle hold a high school diploma at 16.3% compared to 14.0% in Christiansburg.
- More residents in Roselle have less than a high school education at 10.2% compared to 8.1% in Christiansburg.
- In Christiansburg, a larger share of residents have a bachelor's degree or higher at 31.9% compared to 28.7% in Roselle.
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.