Demographics details for Christiansburg, OH vs Ashburn, GA
Population Overview
Compare main population characteristics in Christiansburg, OH vs Ashburn, GA.
Data | Christiansburg | Ashburn |
---|---|---|
Population | 501 | 4,174 |
Median Age | 34.5 years | 39.9 years |
Median Income | $72,375 | $35,987 |
Married Families | 38.0% | 30.0% |
Poverty Level | 8% | 12% |
Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Christiansburg vs Ashburn
- The population in Ashburn is higher at 4,174, compared to 501 in Christiansburg.
- The median age in Ashburn is higher at 39.9 years, compared to 34.5 years in Christiansburg.
- Christiansburg has a higher median income of $72,375 compared to $35,987 in Ashburn.
- A higher percentage of married families is found in Christiansburg at 38.0% compared to 30.0% in Ashburn.
- The poverty level is higher in Ashburn at 12%, compared to 8% in Christiansburg.
- The unemployment rate is the same in both Christiansburg and Ashburn at 4.5%.
Demographics
Demographics Christiansburg vs Ashburn provide insight into the diversity of the communities to compare.
Demographic | Christiansburg | Ashburn |
---|---|---|
Black | 1 | 71 |
White | 95 | 22 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 5 |
Two or More Races | 4 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Christiansburg vs Ashburn
- In Ashburn, the percentage of Black residents is higher at 71% compared to 1% in Christiansburg.
- Christiansburg has a higher percentage of White residents at 95% compared to 22% in Ashburn.
- Both Christiansburg and Ashburn have the same percentage of Asian residents at 0%.
- Ashburn has a higher percentage of Hispanic residents at 5%, compared to 0% in Christiansburg.
- More residents identify as two or more races in Christiansburg at 4% compared to 2% in Ashburn.
- The percentage of American Indian residents is the same in both Christiansburg and Ashburn at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Christiansburg | Ashburn |
---|---|---|
Mental Health Not Good | 17.6% | 20.2% |
Physical Health Not Good | 11.7% | 16.1% |
Depression | 24.5% | 21.2% |
Smoking | 21.0% | 24.2% |
Binge Drinking | 18.8% | 12.1% |
Obesity | 39.9% | 43.3% |
Disability Percentage | 18.0% | 18.0% |
Health Statistics Comparison: Christiansburg vs Ashburn
- In Ashburn, a higher percentage report poor mental health at 20.2% compared to 17.6% in Christiansburg.
- Depression is more prevalent in Christiansburg at 24.5% compared to 21.2% in Ashburn.
- Ashburn has a higher smoking rate at 24.2% compared to 21.0% in Christiansburg.
- Binge drinking is more common in Christiansburg at 18.8% compared to 12.1% in Ashburn.
- Ashburn has higher obesity rates at 43.3% compared to 39.9% in Christiansburg.
- Disability percentages are the same in both Christiansburg and Ashburn at 18.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Christiansburg | Ashburn |
---|---|---|
No Schooling | 0.4% (2) | 0.2% (8) |
High School Diploma | 29.7% (149) | 19.0% (791) |
Less than High School | 11.6% (58) | 21.0% (875) |
Bachelor's Degree and Higher | 7.8% (39) | 7.3% (304) |
Education Levels Comparison: Christiansburg vs Ashburn
- A higher percentage of residents in Christiansburg have no formal schooling at 0.4% compared to 0.2% in Ashburn.
- A higher percentage of residents in Christiansburg hold a high school diploma at 29.7% compared to 19.0% in Ashburn.
- The percentage of residents with less than a high school education is higher in Ashburn at 21.0%, compared to 11.6% in Christiansburg.
- A higher percentage of residents in Christiansburg hold a bachelor's degree or higher at 7.8% compared to 7.3% in Ashburn.
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.