Demographics details for Olla, LA vs Woodstock, VA
Population Overview
Compare main population characteristics in Olla, LA vs Woodstock, VA.
| Data | Olla | Woodstock |
|---|---|---|
| Population | 1,617 | 5,907 |
| Median Age | 35.0 years | 38.4 years |
| Median Income | $45,000 | $64,470 |
| Married Families | 200.0% | 32.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.0 | 2.5 |
Population Comparison: Olla vs Woodstock
- The population in Woodstock is higher at 5,907, compared to 1,617 in Olla.
- The median age in Woodstock is higher at 38.4 years, compared to 35.0 years in Olla.
- Woodstock has a higher median income of $64,470, compared to $45,000 in Olla.
- A higher percentage of married families is found in Olla at 200.0% compared to 32.0% in Woodstock.
- Olla has a higher poverty level at 12% compared to 10% in Woodstock.
- The unemployment rate in Olla is higher at 3.0%, compared to 2.5% in Woodstock.
Demographics
Demographics Olla vs Woodstock provide insight into the diversity of the communities to compare.
| Demographic | Olla | Woodstock |
|---|---|---|
| Black | 20 | 6 |
| White | 70 | 60 |
| Asian | 5 | 4 |
| Hispanic | 5 | 19 |
| Two or More Races | Data is updating | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Olla vs Woodstock
- A higher percentage of Black residents are in Olla at 20% compared to 6% in Woodstock.
- Olla has a higher percentage of White residents at 70% compared to 60% in Woodstock.
- The Asian population is larger in Olla at 5% compared to 4% in Woodstock.
- Woodstock has a higher percentage of Hispanic residents at 19%, compared to 5% in Olla.
- The percentage of residents identifying as two or more races is higher in Woodstock at 11%, compared to 0% in Olla.
- The percentage of American Indian residents is the same in both Olla and Woodstock at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Olla | Woodstock |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.9% |
| Physical Health Not Good | Data is updating% | 12.3% |
| Depression | Data is updating% | 24.9% |
| Smoking | Data is updating% | 18.2% |
| Binge Drinking | Data is updating% | 16.2% |
| Obesity | Data is updating% | 38.9% |
| Disability Percentage | Data is updating% | 21.0% |
Health Statistics Comparison: Olla vs Woodstock
- In Woodstock, a higher percentage report poor mental health at 17.9% compared to 0.0% in Olla.
- Higher depression rates are seen in Woodstock at 24.9% versus 0.0% in Olla.
- Woodstock has a higher smoking rate at 18.2% compared to 0.0% in Olla.
- More residents engage in binge drinking in Woodstock at 16.2% compared to 0.0% in Olla.
- Woodstock has higher obesity rates at 38.9% compared to 0.0% in Olla.
- There is a higher percentage of disabled individuals in Woodstock at 21.0% compared to 0.0% in Olla.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Olla | Woodstock |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.0% (118) |
| High School Diploma | 0.0% (Data is updating) | 19.0% (1,121) |
| Less than High School | 0.0% (Data is updating) | 17.2% (1,018) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 16.4% (968) |
Education Levels Comparison: Olla vs Woodstock
- In Woodstock, a larger percentage of residents lack formal schooling at 2.0% compared to 0.0% in Olla.
- In Woodstock, the rate of residents with high school diplomas is higher at 19.0% compared to 0.0% in Olla.
- The percentage of residents with less than a high school education is higher in Woodstock at 17.2%, compared to 0.0% in Olla.
- In Woodstock, a larger share of residents have a bachelor's degree or higher at 16.4% compared to 0.0% in Olla.
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.