Demographics details for Raven, VA vs Flower mound, TX
Population Overview
Compare main population characteristics in Raven, VA vs Flower mound, TX.
| Data | Raven | Flower mound |
|---|---|---|
| Population | 2,065 | 78,486 |
| Median Age | 46.2 years | 42.6 years |
| Median Income | $36,613 | $154,471 |
| Married Families | 31.0% | 51.0% |
| Poverty Level | 15% | 4% |
| Unemployment Rate | 4.5 | 3.7 |
Population Comparison: Raven vs Flower mound
- The population in Flower mound is higher at 78,486, compared to 2,065 in Raven.
- Residents in Raven have a higher median age of 46.2 years compared to 42.6 years in Flower mound.
- Flower mound has a higher median income of $154,471, compared to $36,613 in Raven.
- In Flower mound, the percentage of married families is higher at 51.0%, compared to 31.0% in Raven.
- Raven has a higher poverty level at 15% compared to 4% in Flower mound.
- The unemployment rate in Raven is higher at 4.5%, compared to 3.7% in Flower mound.
Demographics
Demographics Raven vs Flower mound provide insight into the diversity of the communities to compare.
| Demographic | Raven | Flower mound |
|---|---|---|
| Black | Data is updating | 3 |
| White | 99 | 66 |
| Asian | Data is updating | 13 |
| Hispanic | Data is updating | 11 |
| Two or More Races | 1 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Raven vs Flower mound
- In Flower mound, the percentage of Black residents is higher at 3% compared to 0% in Raven.
- Raven has a higher percentage of White residents at 99% compared to 66% in Flower mound.
- In Flower mound, the Asian population stands at 13%, greater than 0% in Raven.
- Flower mound has a higher percentage of Hispanic residents at 11%, compared to 0% in Raven.
- The percentage of residents identifying as two or more races is higher in Flower mound at 7%, compared to 1% in Raven.
- The percentage of American Indian residents is the same in both Raven and Flower mound at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Raven | Flower mound |
|---|---|---|
| Mental Health Not Good | 22.5% | 13.3% |
| Physical Health Not Good | 16.7% | 7.7% |
| Depression | 30.4% | 21.1% |
| Smoking | 27.3% | 9.5% |
| Binge Drinking | 16.2% | 19.7% |
| Obesity | 40.3% | 28.5% |
| Disability Percentage | 26.0% | 6.0% |
Health Statistics Comparison: Raven vs Flower mound
- More residents in Raven report poor mental health at 22.5% compared to 13.3% in Flower mound.
- Depression is more prevalent in Raven at 30.4% compared to 21.1% in Flower mound.
- Smoking is more prevalent in Raven at 27.3% compared to 9.5% in Flower mound.
- More residents engage in binge drinking in Flower mound at 19.7% compared to 16.2% in Raven.
- Obesity rates are higher in Raven at 40.3% compared to 28.5% in Flower mound.
- Disability percentages are higher in Raven at 26.0% compared to 6.0% in Flower mound.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Raven | Flower mound |
|---|---|---|
| No Schooling | 0.5% (11) | 0.7% (519) |
| High School Diploma | 18.8% (388) | 6.2% (4,886) |
| Less than High School | 22.5% (464) | 2.7% (2,090) |
| Bachelor's Degree and Higher | 10.1% (208) | 42.3% (33,161) |
Education Levels Comparison: Raven vs Flower mound
- In Flower mound, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Raven.
- A higher percentage of residents in Raven hold a high school diploma at 18.8% compared to 6.2% in Flower mound.
- More residents in Raven have less than a high school education at 22.5% compared to 2.7% in Flower mound.
- In Flower mound, a larger share of residents have a bachelor's degree or higher at 42.3% compared to 10.1% in Raven.
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.