Demographics details for Columbia, MO vs Hillsville, VA
Population Overview
Compare main population characteristics in Columbia, MO vs Hillsville, VA.
| Data | Columbia | Hillsville |
|---|---|---|
| Population | 128,555 | 2,860 |
| Median Age | 28.8 years | 45.5 years |
| Median Income | $60,455 | $61,380 |
| Married Families | 32.0% | 42.0% |
| Poverty Level | 19% | 12% |
| Unemployment Rate | 3.8 | 3.5 |
Population Comparison: Columbia vs Hillsville
- In Columbia, the population is higher at 128,555, compared to 2,860 in Hillsville.
- The median age in Hillsville is higher at 45.5 years, compared to 28.8 years in Columbia.
- Hillsville has a higher median income of $61,380, compared to $60,455 in Columbia.
- In Hillsville, the percentage of married families is higher at 42.0%, compared to 32.0% in Columbia.
- Columbia has a higher poverty level at 19% compared to 12% in Hillsville.
- The unemployment rate in Columbia is higher at 3.8%, compared to 3.5% in Hillsville.
Demographics
Demographics Columbia vs Hillsville provide insight into the diversity of the communities to compare.
| Demographic | Columbia | Hillsville |
|---|---|---|
| Black | 11 | 1 |
| White | 73 | 90 |
| Asian | 6 | 1 |
| Hispanic | 4 | 3 |
| Two or More Races | 6 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbia vs Hillsville
- A higher percentage of Black residents are in Columbia at 11% compared to 1% in Hillsville.
- The percentage of White residents is higher in Hillsville at 90% compared to 73% in Columbia.
- The Asian population is larger in Columbia at 6% compared to 1% in Hillsville.
- The Hispanic community is larger in Columbia at 4% compared to 3% in Hillsville.
- More residents identify as two or more races in Columbia at 6% compared to 5% in Hillsville.
- The percentage of American Indian residents is the same in both Columbia and Hillsville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbia | Hillsville |
|---|---|---|
| Mental Health Not Good | 16.7% | 19.4% |
| Physical Health Not Good | 11.4% | 12.8% |
| Depression | 25.3% | 27.0% |
| Smoking | 16.3% | 21.2% |
| Binge Drinking | 17.7% | 17.2% |
| Obesity | 33.5% | 37.2% |
| Disability Percentage | 11.0% | 10.0% |
Health Statistics Comparison: Columbia vs Hillsville
- In Hillsville, a higher percentage report poor mental health at 19.4% compared to 16.7% in Columbia.
- Higher depression rates are seen in Hillsville at 27.0% versus 25.3% in Columbia.
- Hillsville has a higher smoking rate at 21.2% compared to 16.3% in Columbia.
- Binge drinking is more common in Columbia at 17.7% compared to 17.2% in Hillsville.
- Hillsville has higher obesity rates at 37.2% compared to 33.5% in Columbia.
- Disability percentages are higher in Columbia at 11.0% compared to 10.0% in Hillsville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbia | Hillsville |
|---|---|---|
| No Schooling | 0.7% (845) | 1.1% (32) |
| High School Diploma | 7.8% (9,965) | 20.1% (575) |
| Less than High School | 4.2% (5,383) | 21.0% (600) |
| Bachelor's Degree and Higher | 30.5% (39,270) | 12.0% (344) |
Education Levels Comparison: Columbia vs Hillsville
- In Hillsville, a larger percentage of residents lack formal schooling at 1.1% compared to 0.7% in Columbia.
- In Hillsville, the rate of residents with high school diplomas is higher at 20.1% compared to 7.8% in Columbia.
- The percentage of residents with less than a high school education is higher in Hillsville at 21.0%, compared to 4.2% in Columbia.
- A higher percentage of residents in Columbia hold a bachelor's degree or higher at 30.5% compared to 12.0% in Hillsville.
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.