Demographics details for Troy, TX vs Christiansburg, VA
Population Overview
Compare main population characteristics in Troy, TX vs Christiansburg, VA.
| Data | Troy | Christiansburg |
|---|---|---|
| Population | 2,727 | 22,562 |
| Median Age | 29.7 years | 39.1 years |
| Median Income | $64,694 | $71,468 |
| Married Families | 37.0% | 45.0% |
| Poverty Level | 11% | 9% |
| Unemployment Rate | 4.1 | 3.2 |
Population Comparison: Troy vs Christiansburg
- The population in Christiansburg is higher at 22,562, compared to 2,727 in Troy.
- The median age in Christiansburg is higher at 39.1 years, compared to 29.7 years in Troy.
- Christiansburg has a higher median income of $71,468, compared to $64,694 in Troy.
- In Christiansburg, the percentage of married families is higher at 45.0%, compared to 37.0% in Troy.
- Troy has a higher poverty level at 11% compared to 9% in Christiansburg.
- The unemployment rate in Troy is higher at 4.1%, compared to 3.2% in Christiansburg.
Demographics
Demographics Troy vs Christiansburg provide insight into the diversity of the communities to compare.
| Demographic | Troy | Christiansburg |
|---|---|---|
| Black | 3 | 5 |
| White | 57 | 84 |
| Asian | Data is updating | 4 |
| Hispanic | 29 | 3 |
| Two or More Races | 11 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Troy vs Christiansburg
- In Christiansburg, the percentage of Black residents is higher at 5% compared to 3% in Troy.
- The percentage of White residents is higher in Christiansburg at 84% compared to 57% in Troy.
- In Christiansburg, the Asian population stands at 4%, greater than 0% in Troy.
- The Hispanic community is larger in Troy at 29% compared to 3% in Christiansburg.
- More residents identify as two or more races in Troy at 11% compared to 4% in Christiansburg.
- The percentage of American Indian residents is the same in both Troy and Christiansburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Troy | Christiansburg |
|---|---|---|
| Mental Health Not Good | 16.9% | 16.1% |
| Physical Health Not Good | 10.8% | 9.9% |
| Depression | 24.1% | 25.8% |
| Smoking | 16.3% | 14.4% |
| Binge Drinking | 18.6% | 19.2% |
| Obesity | 36.1% | 30.3% |
| Disability Percentage | 18.0% | 17.0% |
Health Statistics Comparison: Troy vs Christiansburg
- More residents in Troy report poor mental health at 16.9% compared to 16.1% in Christiansburg.
- Higher depression rates are seen in Christiansburg at 25.8% versus 24.1% in Troy.
- Smoking is more prevalent in Troy at 16.3% compared to 14.4% in Christiansburg.
- More residents engage in binge drinking in Christiansburg at 19.2% compared to 18.6% in Troy.
- Obesity rates are higher in Troy at 36.1% compared to 30.3% in Christiansburg.
- Disability percentages are higher in Troy at 18.0% compared to 17.0% in Christiansburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Troy | Christiansburg |
|---|---|---|
| No Schooling | 0.3% (9) | 0.3% (66) |
| High School Diploma | 13.5% (367) | 14.0% (3,152) |
| Less than High School | 9.6% (262) | 8.1% (1,827) |
| Bachelor's Degree and Higher | 10.2% (279) | 31.9% (7,193) |
Education Levels Comparison: Troy vs Christiansburg
- The percentage of residents with no formal schooling is the same in both Troy and Christiansburg at 0.3%.
- In Christiansburg, the rate of residents with high school diplomas is higher at 14.0% compared to 13.5% in Troy.
- More residents in Troy have less than a high school education at 9.6% 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 10.2% in Troy.
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.