Demographics details for Cullman, AL vs Weyers cave, VA
Population Overview
Compare main population characteristics in Cullman, AL vs Weyers cave, VA.
| Data | Cullman | Weyers cave |
|---|---|---|
| Population | 19,251 | 2,212 |
| Median Age | 42.0 years | 26.6 years |
| Median Income | $59,982 | $93,384 |
| Married Families | 39.0% | 39.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 4.3 | 2.5 |
Population Comparison: Cullman vs Weyers cave
- In Cullman, the population is higher at 19,251, compared to 2,212 in Weyers cave.
- Residents in Cullman have a higher median age of 42.0 years compared to 26.6 years in Weyers cave.
- Weyers cave has a higher median income of $93,384, compared to $59,982 in Cullman.
- The percentage of married families is the same in both Cullman and Weyers cave at 39.0%.
- Cullman has a higher poverty level at 12% compared to 8% in Weyers cave.
- The unemployment rate in Cullman is higher at 4.3%, compared to 2.5% in Weyers cave.
Demographics
Demographics Cullman vs Weyers cave provide insight into the diversity of the communities to compare.
| Demographic | Cullman | Weyers cave |
|---|---|---|
| Black | 1 | 7 |
| White | 92 | 80 |
| Asian | 1 | Data is updating |
| Hispanic | 2 | 8 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cullman vs Weyers cave
- In Weyers cave, the percentage of Black residents is higher at 7% compared to 1% in Cullman.
- Cullman has a higher percentage of White residents at 92% compared to 80% in Weyers cave.
- The Asian population is larger in Cullman at 1% compared to 0% in Weyers cave.
- Weyers cave has a higher percentage of Hispanic residents at 8%, compared to 2% in Cullman.
- The percentage of residents identifying as two or more races is higher in Weyers cave at 5%, compared to 4% in Cullman.
- The percentage of American Indian residents is the same in both Cullman and Weyers cave at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cullman | Weyers cave |
|---|---|---|
| Mental Health Not Good | 18.5% | 16.2% |
| Physical Health Not Good | 12.6% | 9.8% |
| Depression | 24.9% | 23.6% |
| Smoking | 18.2% | 14.8% |
| Binge Drinking | 16.4% | 18.6% |
| Obesity | 37.5% | 34.2% |
| Disability Percentage | 14.0% | 4.0% |
Health Statistics Comparison: Cullman vs Weyers cave
- More residents in Cullman report poor mental health at 18.5% compared to 16.2% in Weyers cave.
- Depression is more prevalent in Cullman at 24.9% compared to 23.6% in Weyers cave.
- Smoking is more prevalent in Cullman at 18.2% compared to 14.8% in Weyers cave.
- More residents engage in binge drinking in Weyers cave at 18.6% compared to 16.4% in Cullman.
- Obesity rates are higher in Cullman at 37.5% compared to 34.2% in Weyers cave.
- Disability percentages are higher in Cullman at 14.0% compared to 4.0% in Weyers cave.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cullman | Weyers cave |
|---|---|---|
| No Schooling | 0.7% (130) | 0.0% (Data is updating) |
| High School Diploma | 13.6% (2,614) | 15.5% (342) |
| Less than High School | 13.0% (2,512) | 3.0% (66) |
| Bachelor's Degree and Higher | 22.1% (4,253) | 26.2% (580) |
Education Levels Comparison: Cullman vs Weyers cave
- A higher percentage of residents in Cullman have no formal schooling at 0.7% compared to 0.0% in Weyers cave.
- In Weyers cave, the rate of residents with high school diplomas is higher at 15.5% compared to 13.6% in Cullman.
- More residents in Cullman have less than a high school education at 13.0% compared to 3.0% in Weyers cave.
- In Weyers cave, a larger share of residents have a bachelor's degree or higher at 26.2% compared to 22.1% in Cullman.
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.