Demographics details for Hillsville, VA vs Roberts, MT
Population Overview
Compare main population characteristics in Hillsville, VA vs Roberts, MT.
| Data | Hillsville | Roberts |
|---|---|---|
| Population | 2,860 | 281 |
| Median Age | 45.5 years | 39.5 years |
| Median Income | $61,380 | $76,688 |
| Married Families | 42.0% | 31.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Hillsville vs Roberts
- In Hillsville, the population is higher at 2,860, compared to 281 in Roberts.
- Residents in Hillsville have a higher median age of 45.5 years compared to 39.5 years in Roberts.
- Roberts has a higher median income of $76,688, compared to $61,380 in Hillsville.
- A higher percentage of married families is found in Hillsville at 42.0% compared to 31.0% in Roberts.
- Hillsville has a higher poverty level at 12% compared to 9% in Roberts.
- The unemployment rate in Hillsville is higher at 3.5%, compared to 3.2% in Roberts.
Demographics
Demographics Hillsville vs Roberts provide insight into the diversity of the communities to compare.
| Demographic | Hillsville | Roberts |
|---|---|---|
| Black | 1 | Data is updating |
| White | 90 | 92 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 5 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hillsville vs Roberts
- A higher percentage of Black residents are in Hillsville at 1% compared to 0% in Roberts.
- The percentage of White residents is higher in Roberts at 92% compared to 90% in Hillsville.
- The Asian population is larger in Hillsville at 1% compared to 0% in Roberts.
- The Hispanic community is larger in Hillsville at 3% compared to 0% in Roberts.
- The percentage of residents identifying as two or more races is higher in Roberts at 8%, compared to 5% in Hillsville.
- The percentage of American Indian residents is the same in both Hillsville and Roberts at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hillsville | Roberts |
|---|---|---|
| Mental Health Not Good | 19.4% | 14.7% |
| Physical Health Not Good | 12.8% | 9.2% |
| Depression | 27.0% | 23.0% |
| Smoking | 21.2% | 13.9% |
| Binge Drinking | 17.2% | 23.3% |
| Obesity | 37.2% | 29.4% |
| Disability Percentage | 10.0% | 23.0% |
Health Statistics Comparison: Hillsville vs Roberts
- More residents in Hillsville report poor mental health at 19.4% compared to 14.7% in Roberts.
- Depression is more prevalent in Hillsville at 27.0% compared to 23.0% in Roberts.
- Smoking is more prevalent in Hillsville at 21.2% compared to 13.9% in Roberts.
- More residents engage in binge drinking in Roberts at 23.3% compared to 17.2% in Hillsville.
- Obesity rates are higher in Hillsville at 37.2% compared to 29.4% in Roberts.
- There is a higher percentage of disabled individuals in Roberts at 23.0% 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 | Hillsville | Roberts |
|---|---|---|
| No Schooling | 1.1% (32) | 0.0% (Data is updating) |
| High School Diploma | 20.1% (575) | 12.8% (36) |
| Less than High School | 21.0% (600) | 15.7% (44) |
| Bachelor's Degree and Higher | 12.0% (344) | 19.9% (56) |
Education Levels Comparison: Hillsville vs Roberts
- A higher percentage of residents in Hillsville have no formal schooling at 1.1% compared to 0.0% in Roberts.
- A higher percentage of residents in Hillsville hold a high school diploma at 20.1% compared to 12.8% in Roberts.
- More residents in Hillsville have less than a high school education at 21.0% compared to 15.7% in Roberts.
- In Roberts, a larger share of residents have a bachelor's degree or higher at 19.9% 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.