Demographics details for Woodstock, GA vs Blue springs, MO
Population Overview
Compare main population characteristics in Woodstock, GA vs Blue springs, MO.
| Data | Woodstock | Blue springs |
|---|---|---|
| Population | 37,350 | 59,518 |
| Median Age | 36.4 years | 36.6 years |
| Median Income | $100,913 | $82,965 |
| Married Families | 40.0% | 42.0% |
| Poverty Level | 5% | 9% |
| Unemployment Rate | 3.4 | 3.7 |
Population Comparison: Woodstock vs Blue springs
- The population in Blue springs is higher at 59,518, compared to 37,350 in Woodstock.
- The median age in Blue springs is higher at 36.6 years, compared to 36.4 years in Woodstock.
- Woodstock has a higher median income of $100,913 compared to $82,965 in Blue springs.
- In Blue springs, the percentage of married families is higher at 42.0%, compared to 40.0% in Woodstock.
- The poverty level is higher in Blue springs at 9%, compared to 5% in Woodstock.
- Blue springs has a higher unemployment rate at 3.7% compared to 3.4% in Woodstock.
Demographics
Demographics Woodstock vs Blue springs provide insight into the diversity of the communities to compare.
| Demographic | Woodstock | Blue springs |
|---|---|---|
| Black | 11 | 7 |
| White | 69 | 79 |
| Asian | 3 | 1 |
| Hispanic | 9 | 7 |
| Two or More Races | 8 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Woodstock vs Blue springs
- A higher percentage of Black residents are in Woodstock at 11% compared to 7% in Blue springs.
- The percentage of White residents is higher in Blue springs at 79% compared to 69% in Woodstock.
- The Asian population is larger in Woodstock at 3% compared to 1% in Blue springs.
- The Hispanic community is larger in Woodstock at 9% compared to 7% in Blue springs.
- More residents identify as two or more races in Woodstock at 8% compared to 6% in Blue springs.
- The percentage of American Indian residents is the same in both Woodstock and Blue springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodstock | Blue springs |
|---|---|---|
| Mental Health Not Good | 14.1% | 17.3% |
| Physical Health Not Good | 9.4% | 10.4% |
| Depression | 20.8% | 22.8% |
| Smoking | 12.1% | 15.6% |
| Binge Drinking | 16.5% | 21.5% |
| Obesity | 30.2% | 34.7% |
| Disability Percentage | 9.0% | 10.0% |
Health Statistics Comparison: Woodstock vs Blue springs
- In Blue springs, a higher percentage report poor mental health at 17.3% compared to 14.1% in Woodstock.
- Higher depression rates are seen in Blue springs at 22.8% versus 20.8% in Woodstock.
- Blue springs has a higher smoking rate at 15.6% compared to 12.1% in Woodstock.
- More residents engage in binge drinking in Blue springs at 21.5% compared to 16.5% in Woodstock.
- Blue springs has higher obesity rates at 34.7% compared to 30.2% in Woodstock.
- There is a higher percentage of disabled individuals in Blue springs at 10.0% compared to 9.0% in Woodstock.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodstock | Blue springs |
|---|---|---|
| No Schooling | 0.3% (107) | 0.3% (178) |
| High School Diploma | 8.2% (3,052) | 16.5% (9,835) |
| Less than High School | 3.7% (1,375) | 4.9% (2,932) |
| Bachelor's Degree and Higher | 32.9% (12,290) | 21.8% (12,992) |
Education Levels Comparison: Woodstock vs Blue springs
- The percentage of residents with no formal schooling is the same in both Woodstock and Blue springs at 0.3%.
- In Blue springs, the rate of residents with high school diplomas is higher at 16.5% compared to 8.2% in Woodstock.
- The percentage of residents with less than a high school education is higher in Blue springs at 4.9%, compared to 3.7% in Woodstock.
- A higher percentage of residents in Woodstock hold a bachelor's degree or higher at 32.9% compared to 21.8% in Blue springs.
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.