Demographics details for Manassas, VA vs Christiansburg, OH
Population Overview
Compare main population characteristics in Manassas, VA vs Christiansburg, OH.
Data | Manassas | Christiansburg |
---|---|---|
Population | 42,642 | 501 |
Median Age | 35.1 years | 34.5 years |
Median Income | $110,559 | $72,375 |
Married Families | 38.0% | 38.0% |
Poverty Level | 7% | 8% |
Unemployment Rate | 2.7 | 4.5 |
Population Comparison: Manassas vs Christiansburg
- In Manassas, the population is higher at 42,642, compared to 501 in Christiansburg.
- Residents in Manassas have a higher median age of 35.1 years compared to 34.5 years in Christiansburg.
- Manassas has a higher median income of $110,559 compared to $72,375 in Christiansburg.
- The percentage of married families is the same in both Manassas and Christiansburg at 38.0%.
- The poverty level is higher in Christiansburg at 8%, compared to 7% in Manassas.
- Christiansburg has a higher unemployment rate at 4.5% compared to 2.7% in Manassas.
Demographics
Demographics Manassas vs Christiansburg provide insight into the diversity of the communities to compare.
Demographic | Manassas | Christiansburg |
---|---|---|
Black | 13 | 1 |
White | 23 | 95 |
Asian | 6 | Data is updating |
Hispanic | 39 | Data is updating |
Two or More Races | 18 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Manassas vs Christiansburg
- A higher percentage of Black residents are in Manassas at 13% compared to 1% in Christiansburg.
- The percentage of White residents is higher in Christiansburg at 95% compared to 23% in Manassas.
- The Asian population is larger in Manassas at 6% compared to 0% in Christiansburg.
- The Hispanic community is larger in Manassas at 39% compared to 0% in Christiansburg.
- More residents identify as two or more races in Manassas at 18% compared to 4% in Christiansburg.
- A greater percentage of American Indian residents live in Manassas at 1% compared to 0% in Christiansburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Manassas | Christiansburg |
---|---|---|
Mental Health Not Good | 15.4% | 17.6% |
Physical Health Not Good | 10.5% | 11.7% |
Depression | 20.8% | 24.5% |
Smoking | 14.7% | 21.0% |
Binge Drinking | 16.8% | 18.8% |
Obesity | 34.8% | 39.9% |
Disability Percentage | 8.0% | 18.0% |
Health Statistics Comparison: Manassas vs Christiansburg
- In Christiansburg, a higher percentage report poor mental health at 17.6% compared to 15.4% in Manassas.
- Higher depression rates are seen in Christiansburg at 24.5% versus 20.8% in Manassas.
- Christiansburg has a higher smoking rate at 21.0% compared to 14.7% in Manassas.
- More residents engage in binge drinking in Christiansburg at 18.8% compared to 16.8% in Manassas.
- Christiansburg has higher obesity rates at 39.9% compared to 34.8% in Manassas.
- There is a higher percentage of disabled individuals in Christiansburg at 18.0% compared to 8.0% in Manassas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Manassas | Christiansburg |
---|---|---|
No Schooling | 3.0% (1,266) | 0.4% (2) |
High School Diploma | 15.8% (6,749) | 29.7% (149) |
Less than High School | 17.4% (7,427) | 11.6% (58) |
Bachelor's Degree and Higher | 22.4% (9,563) | 7.8% (39) |
Education Levels Comparison: Manassas vs Christiansburg
- A higher percentage of residents in Manassas have no formal schooling at 3.0% compared to 0.4% in Christiansburg.
- In Christiansburg, the rate of residents with high school diplomas is higher at 29.7% compared to 15.8% in Manassas.
- More residents in Manassas have less than a high school education at 17.4% compared to 11.6% in Christiansburg.
- A higher percentage of residents in Manassas hold a bachelor's degree or higher at 22.4% compared to 7.8% in Christiansburg.
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.