Demographics details for Christiansburg, VA vs Morris, IL
Population Overview
Compare main population characteristics in Christiansburg, VA vs Morris, IL.
| Data | Christiansburg | Morris |
|---|---|---|
| Population | 22,562 | 14,360 |
| Median Age | 39.1 years | 39.5 years |
| Median Income | $71,468 | $73,909 |
| Married Families | 45.0% | 42.0% |
| Poverty Level | 9% | 9% |
| Unemployment Rate | 3.2 | 4.2 |
Population Comparison: Christiansburg vs Morris
- In Christiansburg, the population is higher at 22,562, compared to 14,360 in Morris.
- The median age in Morris is higher at 39.5 years, compared to 39.1 years in Christiansburg.
- Morris has a higher median income of $73,909, compared to $71,468 in Christiansburg.
- A higher percentage of married families is found in Christiansburg at 45.0% compared to 42.0% in Morris.
- The poverty level is identical in both Christiansburg and Morris at 9%.
- Morris has a higher unemployment rate at 4.2% compared to 3.2% in Christiansburg.
Demographics
Demographics Christiansburg vs Morris provide insight into the diversity of the communities to compare.
| Demographic | Christiansburg | Morris |
|---|---|---|
| Black | 5 | 1 |
| White | 84 | 84 |
| Asian | 4 | Data is updating |
| Hispanic | 3 | 9 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Christiansburg vs Morris
- A higher percentage of Black residents are in Christiansburg at 5% compared to 1% in Morris.
- The percentage of White residents is the same in both Christiansburg and Morris at 84%.
- The Asian population is larger in Christiansburg at 4% compared to 0% in Morris.
- Morris has a higher percentage of Hispanic residents at 9%, compared to 3% in Christiansburg.
- The percentage of residents identifying as two or more races is higher in Morris at 6%, compared to 4% in Christiansburg.
- The percentage of American Indian residents is the same in both Christiansburg and Morris at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Christiansburg | Morris |
|---|---|---|
| Mental Health Not Good | 16.1% | 15.9% |
| Physical Health Not Good | 9.9% | 10.7% |
| Depression | 25.8% | 21.4% |
| Smoking | 14.4% | 16.3% |
| Binge Drinking | 19.2% | 18.5% |
| Obesity | 30.3% | 35.6% |
| Disability Percentage | 17.0% | 13.0% |
Health Statistics Comparison: Christiansburg vs Morris
- More residents in Christiansburg report poor mental health at 16.1% compared to 15.9% in Morris.
- Depression is more prevalent in Christiansburg at 25.8% compared to 21.4% in Morris.
- Morris has a higher smoking rate at 16.3% compared to 14.4% in Christiansburg.
- Binge drinking is more common in Christiansburg at 19.2% compared to 18.5% in Morris.
- Morris has higher obesity rates at 35.6% compared to 30.3% in Christiansburg.
- Disability percentages are higher in Christiansburg at 17.0% compared to 13.0% in Morris.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Christiansburg | Morris |
|---|---|---|
| No Schooling | 0.3% (66) | 0.2% (29) |
| High School Diploma | 14.0% (3,152) | 20.8% (2,990) |
| Less than High School | 8.1% (1,827) | 7.5% (1,077) |
| Bachelor's Degree and Higher | 31.9% (7,193) | 18.4% (2,636) |
Education Levels Comparison: Christiansburg vs Morris
- A higher percentage of residents in Christiansburg have no formal schooling at 0.3% compared to 0.2% in Morris.
- In Morris, the rate of residents with high school diplomas is higher at 20.8% compared to 14.0% in Christiansburg.
- More residents in Christiansburg have less than a high school education at 8.1% compared to 7.5% in Morris.
- A higher percentage of residents in Christiansburg hold a bachelor's degree or higher at 31.9% compared to 18.4% in Morris.
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.