Demographics details for Highland, KS vs Christiansburg, VA
Population Overview
Compare main population characteristics in Highland, KS vs Christiansburg, VA.
| Data | Highland | Christiansburg |
|---|---|---|
| Population | 915 | 22,562 |
| Median Age | 20.4 years | 39.1 years |
| Median Income | $65,000 | $71,468 |
| Married Families | 25.0% | 45.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Highland vs Christiansburg
- The population in Christiansburg is higher at 22,562, compared to 915 in Highland.
- The median age in Christiansburg is higher at 39.1 years, compared to 20.4 years in Highland.
- Christiansburg has a higher median income of $71,468, compared to $65,000 in Highland.
- In Christiansburg, the percentage of married families is higher at 45.0%, compared to 25.0% in Highland.
- The poverty level is higher in Christiansburg at 9%, compared to 5% in Highland.
- The unemployment rate is the same in both Highland and Christiansburg at 3.2%.
Demographics
Demographics Highland vs Christiansburg provide insight into the diversity of the communities to compare.
| Demographic | Highland | Christiansburg |
|---|---|---|
| Black | 33 | 5 |
| White | 51 | 84 |
| Asian | 1 | 4 |
| Hispanic | 7 | 3 |
| Two or More Races | 8 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Highland vs Christiansburg
- A higher percentage of Black residents are in Highland at 33% compared to 5% in Christiansburg.
- The percentage of White residents is higher in Christiansburg at 84% compared to 51% in Highland.
- In Christiansburg, the Asian population stands at 4%, greater than 1% in Highland.
- The Hispanic community is larger in Highland at 7% compared to 3% in Christiansburg.
- More residents identify as two or more races in Highland at 8% compared to 4% in Christiansburg.
- The percentage of American Indian residents is the same in both Highland and Christiansburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Highland | Christiansburg |
|---|---|---|
| Mental Health Not Good | 16.5% | 16.1% |
| Physical Health Not Good | 10.8% | 9.9% |
| Depression | 21.5% | 25.8% |
| Smoking | 19.7% | 14.4% |
| Binge Drinking | 19.2% | 19.2% |
| Obesity | 40.1% | 30.3% |
| Disability Percentage | 17.0% | 17.0% |
Health Statistics Comparison: Highland vs Christiansburg
- More residents in Highland report poor mental health at 16.5% compared to 16.1% in Christiansburg.
- Higher depression rates are seen in Christiansburg at 25.8% versus 21.5% in Highland.
- Smoking is more prevalent in Highland at 19.7% compared to 14.4% in Christiansburg.
- Binge drinking rates are similar in both Highland and Christiansburg at 19.2%.
- Obesity rates are higher in Highland at 40.1% compared to 30.3% in Christiansburg.
- Disability percentages are the same in both Highland and Christiansburg at 17.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Highland | Christiansburg |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (66) |
| High School Diploma | 7.5% (69) | 14.0% (3,152) |
| Less than High School | 6.1% (56) | 8.1% (1,827) |
| Bachelor's Degree and Higher | 15.3% (140) | 31.9% (7,193) |
Education Levels Comparison: Highland vs Christiansburg
- In Christiansburg, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Highland.
- In Christiansburg, the rate of residents with high school diplomas is higher at 14.0% compared to 7.5% in Highland.
- The percentage of residents with less than a high school education is higher in Christiansburg at 8.1%, compared to 6.1% in Highland.
- In Christiansburg, a larger share of residents have a bachelor's degree or higher at 31.9% compared to 15.3% in Highland.
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.