Demographics details for Pearisburg, VA vs Cullman, AL
Population Overview
Compare main population characteristics in Pearisburg, VA vs Cullman, AL.
| Data | Pearisburg | Cullman |
|---|---|---|
| Population | 2,832 | 19,251 |
| Median Age | 46.5 years | 42.0 years |
| Median Income | $70,905 | $59,982 |
| Married Families | 43.0% | 39.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Pearisburg vs Cullman
- The population in Cullman is higher at 19,251, compared to 2,832 in Pearisburg.
- Residents in Pearisburg have a higher median age of 46.5 years compared to 42.0 years in Cullman.
- Pearisburg has a higher median income of $70,905 compared to $59,982 in Cullman.
- A higher percentage of married families is found in Pearisburg at 43.0% compared to 39.0% in Cullman.
- The poverty level is higher in Cullman at 12%, compared to 10% in Pearisburg.
- Cullman has a higher unemployment rate at 4.3% compared to 3.5% in Pearisburg.
Demographics
Demographics Pearisburg vs Cullman provide insight into the diversity of the communities to compare.
| Demographic | Pearisburg | Cullman |
|---|---|---|
| Black | 10 | 1 |
| White | 89 | 92 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 2 |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pearisburg vs Cullman
- A higher percentage of Black residents are in Pearisburg at 10% compared to 1% in Cullman.
- The percentage of White residents is higher in Cullman at 92% compared to 89% in Pearisburg.
- In Cullman, the Asian population stands at 1%, greater than 0% in Pearisburg.
- Cullman has a higher percentage of Hispanic residents at 2%, compared to 1% in Pearisburg.
- The percentage of residents identifying as two or more races is higher in Cullman at 4%, compared to 0% in Pearisburg.
- The percentage of American Indian residents is the same in both Pearisburg and Cullman at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pearisburg | Cullman |
|---|---|---|
| Mental Health Not Good | 18.2% | 18.5% |
| Physical Health Not Good | 12.0% | 12.6% |
| Depression | 24.8% | 24.9% |
| Smoking | 19.5% | 18.2% |
| Binge Drinking | 17.8% | 16.4% |
| Obesity | 36.0% | 37.5% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Pearisburg vs Cullman
- In Cullman, a higher percentage report poor mental health at 18.5% compared to 18.2% in Pearisburg.
- Higher depression rates are seen in Cullman at 24.9% versus 24.8% in Pearisburg.
- Smoking is more prevalent in Pearisburg at 19.5% compared to 18.2% in Cullman.
- Binge drinking is more common in Pearisburg at 17.8% compared to 16.4% in Cullman.
- Cullman has higher obesity rates at 37.5% compared to 36.0% in Pearisburg.
- Disability percentages are the same in both Pearisburg and Cullman at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pearisburg | Cullman |
|---|---|---|
| No Schooling | 0.7% (20) | 0.7% (130) |
| High School Diploma | 33.2% (939) | 13.6% (2,614) |
| Less than High School | 7.0% (199) | 13.0% (2,512) |
| Bachelor's Degree and Higher | 15.0% (426) | 22.1% (4,253) |
Education Levels Comparison: Pearisburg vs Cullman
- The percentage of residents with no formal schooling is the same in both Pearisburg and Cullman at 0.7%.
- A higher percentage of residents in Pearisburg hold a high school diploma at 33.2% compared to 13.6% in Cullman.
- The percentage of residents with less than a high school education is higher in Cullman at 13.0%, compared to 7.0% in Pearisburg.
- In Cullman, a larger share of residents have a bachelor's degree or higher at 22.1% 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.