Demographics details for Woodstock, VA vs Lima, OH
Population Overview
Compare main population characteristics in Woodstock, VA vs Lima, OH.
| Data | Woodstock | Lima |
|---|---|---|
| Population | 5,907 | 34,977 |
| Median Age | 38.4 years | 34.7 years |
| Median Income | $64,470 | $41,824 |
| Married Families | 32.0% | 23.0% |
| Poverty Level | 10% | 20% |
| Unemployment Rate | 2.5 | 6.9 |
Population Comparison: Woodstock vs Lima
- The population in Lima is higher at 34,977, compared to 5,907 in Woodstock.
- Residents in Woodstock have a higher median age of 38.4 years compared to 34.7 years in Lima.
- Woodstock has a higher median income of $64,470 compared to $41,824 in Lima.
- A higher percentage of married families is found in Woodstock at 32.0% compared to 23.0% in Lima.
- The poverty level is higher in Lima at 20%, compared to 10% in Woodstock.
- Lima has a higher unemployment rate at 6.9% compared to 2.5% in Woodstock.
Demographics
Demographics Woodstock vs Lima provide insight into the diversity of the communities to compare.
| Demographic | Woodstock | Lima |
|---|---|---|
| Black | 6 | 24 |
| White | 60 | 62 |
| Asian | 4 | Data is updating |
| Hispanic | 19 | 5 |
| Two or More Races | 11 | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Woodstock vs Lima
- In Lima, the percentage of Black residents is higher at 24% compared to 6% in Woodstock.
- The percentage of White residents is higher in Lima at 62% compared to 60% in Woodstock.
- The Asian population is larger in Woodstock at 4% compared to 0% in Lima.
- The Hispanic community is larger in Woodstock at 19% compared to 5% in Lima.
- More residents identify as two or more races in Woodstock at 11% compared to 9% in Lima.
- The percentage of American Indian residents is the same in both Woodstock and Lima at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodstock | Lima |
|---|---|---|
| Mental Health Not Good | 17.9% | 19.6% |
| Physical Health Not Good | 12.3% | 15.0% |
| Depression | 24.9% | 25.0% |
| Smoking | 18.2% | 27.2% |
| Binge Drinking | 16.2% | 17.3% |
| Obesity | 38.9% | 47.4% |
| Disability Percentage | 21.0% | 19.0% |
Health Statistics Comparison: Woodstock vs Lima
- In Lima, a higher percentage report poor mental health at 19.6% compared to 17.9% in Woodstock.
- Higher depression rates are seen in Lima at 25.0% versus 24.9% in Woodstock.
- Lima has a higher smoking rate at 27.2% compared to 18.2% in Woodstock.
- More residents engage in binge drinking in Lima at 17.3% compared to 16.2% in Woodstock.
- Lima has higher obesity rates at 47.4% compared to 38.9% in Woodstock.
- Disability percentages are higher in Woodstock at 21.0% compared to 19.0% in Lima.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodstock | Lima |
|---|---|---|
| No Schooling | 2.0% (118) | 0.7% (247) |
| High School Diploma | 19.0% (1,121) | 22.7% (7,927) |
| Less than High School | 17.2% (1,018) | 12.9% (4,523) |
| Bachelor's Degree and Higher | 16.4% (968) | 7.0% (2,437) |
Education Levels Comparison: Woodstock vs Lima
- A higher percentage of residents in Woodstock have no formal schooling at 2.0% compared to 0.7% in Lima.
- In Lima, the rate of residents with high school diplomas is higher at 22.7% compared to 19.0% in Woodstock.
- More residents in Woodstock have less than a high school education at 17.2% compared to 12.9% in Lima.
- A higher percentage of residents in Woodstock hold a bachelor's degree or higher at 16.4% compared to 7.0% in Lima.
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.