Demographics details for Stanley, VA vs Culleoka, TN
Population Overview
Compare main population characteristics in Stanley, VA vs Culleoka, TN.
| Data | Stanley | Culleoka |
|---|---|---|
| Population | 1,702 | 340 |
| Median Age | 41.1 years | 36.0 years |
| Median Income | $42,976 | $50,000 |
| Married Families | 31.0% | 70.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Stanley vs Culleoka
- In Stanley, the population is higher at 1,702, compared to 340 in Culleoka.
- Residents in Stanley have a higher median age of 41.1 years compared to 36.0 years in Culleoka.
- Culleoka has a higher median income of $50,000, compared to $42,976 in Stanley.
- In Culleoka, the percentage of married families is higher at 70.0%, compared to 31.0% in Stanley.
- The poverty level is higher in Culleoka at 12%, compared to 0% in Stanley.
- Culleoka has a higher unemployment rate at 4.5% compared to 3.5% in Stanley.
Demographics
Demographics Stanley vs Culleoka provide insight into the diversity of the communities to compare.
| Demographic | Stanley | Culleoka |
|---|---|---|
| Black | Data is updating | 4 |
| White | 95 | 90 |
| Asian | Data is updating | 2 |
| Hispanic | 2 | 3 |
| Two or More Races | 3 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Stanley vs Culleoka
- In Culleoka, the percentage of Black residents is higher at 4% compared to 0% in Stanley.
- Stanley has a higher percentage of White residents at 95% compared to 90% in Culleoka.
- In Culleoka, the Asian population stands at 2%, greater than 0% in Stanley.
- Culleoka has a higher percentage of Hispanic residents at 3%, compared to 2% in Stanley.
- More residents identify as two or more races in Stanley at 3% compared to 1% in Culleoka.
- The percentage of American Indian residents is the same in both Stanley and Culleoka at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Stanley | Culleoka |
|---|---|---|
| Mental Health Not Good | 20.1% | Data is updating% |
| Physical Health Not Good | 14.1% | Data is updating% |
| Depression | 27.4% | Data is updating% |
| Smoking | 23.9% | Data is updating% |
| Binge Drinking | 16.8% | Data is updating% |
| Obesity | 40.4% | Data is updating% |
| Disability Percentage | 24.0% | Data is updating% |
Health Statistics Comparison: Stanley vs Culleoka
- More residents in Stanley report poor mental health at 20.1% compared to 0.0% in Culleoka.
- Depression is more prevalent in Stanley at 27.4% compared to 0.0% in Culleoka.
- Smoking is more prevalent in Stanley at 23.9% compared to 0.0% in Culleoka.
- Binge drinking is more common in Stanley at 16.8% compared to 0.0% in Culleoka.
- Obesity rates are higher in Stanley at 40.4% compared to 0.0% in Culleoka.
- Disability percentages are higher in Stanley at 24.0% compared to 0.0% in Culleoka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Stanley | Culleoka |
|---|---|---|
| No Schooling | 0.6% (10) | 0.0% (Data is updating) |
| High School Diploma | 28.0% (477) | 0.0% (Data is updating) |
| Less than High School | 38.5% (656) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 7.4% (126) | 0.0% (Data is updating) |
Education Levels Comparison: Stanley vs Culleoka
- A higher percentage of residents in Stanley have no formal schooling at 0.6% compared to 0.0% in Culleoka.
- A higher percentage of residents in Stanley hold a high school diploma at 28.0% compared to 0.0% in Culleoka.
- More residents in Stanley have less than a high school education at 38.5% compared to 0.0% in Culleoka.
- A higher percentage of residents in Stanley hold a bachelor's degree or higher at 7.4% compared to 0.0% in Culleoka.
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.