Demographics details for Pearisburg, VA vs Columbia, SC
Population Overview
Compare main population characteristics in Pearisburg, VA vs Columbia, SC.
| Data | Pearisburg | Columbia |
|---|---|---|
| Population | 2,832 | 139,698 |
| Median Age | 46.5 years | 28.3 years |
| Median Income | $70,905 | $54,095 |
| Married Families | 43.0% | 25.0% |
| Poverty Level | 10% | 17% |
| Unemployment Rate | 3.5 | 5.8 |
Population Comparison: Pearisburg vs Columbia
- The population in Columbia is higher at 139,698, compared to 2,832 in Pearisburg.
- Residents in Pearisburg have a higher median age of 46.5 years compared to 28.3 years in Columbia.
- Pearisburg has a higher median income of $70,905 compared to $54,095 in Columbia.
- A higher percentage of married families is found in Pearisburg at 43.0% compared to 25.0% in Columbia.
- The poverty level is higher in Columbia at 17%, compared to 10% in Pearisburg.
- Columbia has a higher unemployment rate at 5.8% compared to 3.5% in Pearisburg.
Demographics
Demographics Pearisburg vs Columbia provide insight into the diversity of the communities to compare.
| Demographic | Pearisburg | Columbia |
|---|---|---|
| Black | 10 | 40 |
| White | 89 | 48 |
| Asian | Data is updating | 2 |
| Hispanic | 1 | 5 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pearisburg vs Columbia
- In Columbia, the percentage of Black residents is higher at 40% compared to 10% in Pearisburg.
- Pearisburg has a higher percentage of White residents at 89% compared to 48% in Columbia.
- In Columbia, the Asian population stands at 2%, greater than 0% in Pearisburg.
- Columbia has a higher percentage of Hispanic residents at 5%, compared to 1% in Pearisburg.
- The percentage of residents identifying as two or more races is higher in Columbia at 5%, compared to 0% in Pearisburg.
- The percentage of American Indian residents is the same in both Pearisburg and Columbia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pearisburg | Columbia |
|---|---|---|
| Mental Health Not Good | 18.2% | 18.6% |
| Physical Health Not Good | 12.0% | 13.1% |
| Depression | 24.8% | 20.8% |
| Smoking | 19.5% | 19.1% |
| Binge Drinking | 17.8% | 18.1% |
| Obesity | 36.0% | 39.0% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Pearisburg vs Columbia
- In Columbia, a higher percentage report poor mental health at 18.6% compared to 18.2% in Pearisburg.
- Depression is more prevalent in Pearisburg at 24.8% compared to 20.8% in Columbia.
- Smoking is more prevalent in Pearisburg at 19.5% compared to 19.1% in Columbia.
- More residents engage in binge drinking in Columbia at 18.1% compared to 17.8% in Pearisburg.
- Columbia has higher obesity rates at 39.0% compared to 36.0% in Pearisburg.
- Disability percentages are higher in Pearisburg at 14.0% compared to 11.0% in Columbia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pearisburg | Columbia |
|---|---|---|
| No Schooling | 0.7% (20) | 0.4% (555) |
| High School Diploma | 33.2% (939) | 8.4% (11,712) |
| Less than High School | 7.0% (199) | 5.9% (8,257) |
| Bachelor's Degree and Higher | 15.0% (426) | 24.7% (34,575) |
Education Levels Comparison: Pearisburg vs Columbia
- A higher percentage of residents in Pearisburg have no formal schooling at 0.7% compared to 0.4% in Columbia.
- A higher percentage of residents in Pearisburg hold a high school diploma at 33.2% compared to 8.4% in Columbia.
- More residents in Pearisburg have less than a high school education at 7.0% compared to 5.9% in Columbia.
- In Columbia, a larger share of residents have a bachelor's degree or higher at 24.7% compared to 15.0% in Pearisburg.
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.