Demographics details for Woodstock, VA vs Loretto, KY
Population Overview
Compare main population characteristics in Woodstock, VA vs Loretto, KY.
| Data | Woodstock | Loretto |
|---|---|---|
| Population | 5,907 | 716 |
| Median Age | 38.4 years | 44.8 years |
| Median Income | $64,470 | $49,688 |
| Married Families | 32.0% | 38.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Woodstock vs Loretto
- In Woodstock, the population is higher at 5,907, compared to 716 in Loretto.
- The median age in Loretto is higher at 44.8 years, compared to 38.4 years in Woodstock.
- Woodstock has a higher median income of $64,470 compared to $49,688 in Loretto.
- In Loretto, the percentage of married families is higher at 38.0%, compared to 32.0% in Woodstock.
- The poverty level is identical in both Woodstock and Loretto at 10%.
- Loretto has a higher unemployment rate at 3.5% compared to 2.5% in Woodstock.
Demographics
Demographics Woodstock vs Loretto provide insight into the diversity of the communities to compare.
| Demographic | Woodstock | Loretto |
|---|---|---|
| Black | 6 | 1 |
| White | 60 | 99 |
| Asian | 4 | Data is updating |
| Hispanic | 19 | Data is updating |
| Two or More Races | 11 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Woodstock vs Loretto
- A higher percentage of Black residents are in Woodstock at 6% compared to 1% in Loretto.
- The percentage of White residents is higher in Loretto at 99% compared to 60% in Woodstock.
- The Asian population is larger in Woodstock at 4% compared to 0% in Loretto.
- The Hispanic community is larger in Woodstock at 19% compared to 0% in Loretto.
- More residents identify as two or more races in Woodstock at 11% compared to 0% in Loretto.
- The percentage of American Indian residents is the same in both Woodstock and Loretto at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodstock | Loretto |
|---|---|---|
| Mental Health Not Good | 17.9% | 19.9% |
| Physical Health Not Good | 12.3% | 14.6% |
| Depression | 24.9% | 28.6% |
| Smoking | 18.2% | 24.3% |
| Binge Drinking | 16.2% | 15.4% |
| Obesity | 38.9% | 39.3% |
| Disability Percentage | 21.0% | 15.0% |
Health Statistics Comparison: Woodstock vs Loretto
- In Loretto, a higher percentage report poor mental health at 19.9% compared to 17.9% in Woodstock.
- Higher depression rates are seen in Loretto at 28.6% versus 24.9% in Woodstock.
- Loretto has a higher smoking rate at 24.3% compared to 18.2% in Woodstock.
- Binge drinking is more common in Woodstock at 16.2% compared to 15.4% in Loretto.
- Loretto has higher obesity rates at 39.3% compared to 38.9% in Woodstock.
- Disability percentages are higher in Woodstock at 21.0% compared to 15.0% in Loretto.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodstock | Loretto |
|---|---|---|
| No Schooling | 2.0% (118) | 3.4% (24) |
| High School Diploma | 19.0% (1,121) | 27.2% (195) |
| Less than High School | 17.2% (1,018) | 23.2% (166) |
| Bachelor's Degree and Higher | 16.4% (968) | 5.4% (39) |
Education Levels Comparison: Woodstock vs Loretto
- In Loretto, a larger percentage of residents lack formal schooling at 3.4% compared to 2.0% in Woodstock.
- In Loretto, the rate of residents with high school diplomas is higher at 27.2% compared to 19.0% in Woodstock.
- The percentage of residents with less than a high school education is higher in Loretto at 23.2%, compared to 17.2% in Woodstock.
- A higher percentage of residents in Woodstock hold a bachelor's degree or higher at 16.4% compared to 5.4% in Loretto.
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.