Demographics details for Weyers cave, VA vs Dike, TX
Population Overview
Compare main population characteristics in Weyers cave, VA vs Dike, TX.
Data | Weyers cave | Dike |
---|---|---|
Population | 2,212 | 103 |
Median Age | 26.6 years | 44.0 years |
Median Income | $93,384 | $50,000 |
Married Families | 39.0% | 20.0% |
Poverty Level | 8% | 15% |
Unemployment Rate | 2.5 | 4.0 |
Population Comparison: Weyers cave vs Dike
- In Weyers cave, the population is higher at 2,212, compared to 103 in Dike.
- The median age in Dike is higher at 44.0 years, compared to 26.6 years in Weyers cave.
- Weyers cave has a higher median income of $93,384 compared to $50,000 in Dike.
- A higher percentage of married families is found in Weyers cave at 39.0% compared to 20.0% in Dike.
- The poverty level is higher in Dike at 15%, compared to 8% in Weyers cave.
- Dike has a higher unemployment rate at 4.0% compared to 2.5% in Weyers cave.
Demographics
Demographics Weyers cave vs Dike provide insight into the diversity of the communities to compare.
Demographic | Weyers cave | Dike |
---|---|---|
Black | 7 | Data is updating |
White | 80 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | 8 | Data is updating |
Two or More Races | 5 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Weyers cave vs Dike
- A higher percentage of Black residents are in Weyers cave at 7% compared to 0% in Dike.
- The percentage of White residents is higher in Dike at 100% compared to 80% in Weyers cave.
- Both Weyers cave and Dike have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Weyers cave at 8% compared to 0% in Dike.
- More residents identify as two or more races in Weyers cave at 5% compared to 0% in Dike.
- The percentage of American Indian residents is the same in both Weyers cave and Dike at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Weyers cave | Dike |
---|---|---|
Mental Health Not Good | 16.2% | Data is updating% |
Physical Health Not Good | 9.8% | Data is updating% |
Depression | 23.6% | Data is updating% |
Smoking | 14.8% | Data is updating% |
Binge Drinking | 18.6% | Data is updating% |
Obesity | 34.2% | Data is updating% |
Disability Percentage | 4.0% | Data is updating% |
Health Statistics Comparison: Weyers cave vs Dike
- More residents in Weyers cave report poor mental health at 16.2% compared to 0.0% in Dike.
- Depression is more prevalent in Weyers cave at 23.6% compared to 0.0% in Dike.
- Smoking is more prevalent in Weyers cave at 14.8% compared to 0.0% in Dike.
- Binge drinking is more common in Weyers cave at 18.6% compared to 0.0% in Dike.
- Obesity rates are higher in Weyers cave at 34.2% compared to 0.0% in Dike.
- Disability percentages are higher in Weyers cave at 4.0% compared to 0.0% in Dike.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Weyers cave | Dike |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 15.5% (342) | 0.0% (Data is updating) |
Less than High School | 3.0% (66) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 26.2% (580) | 0.0% (Data is updating) |
Education Levels Comparison: Weyers cave vs Dike
- The percentage of residents with no formal schooling is the same in both Weyers cave and Dike at 0.0%.
- A higher percentage of residents in Weyers cave hold a high school diploma at 15.5% compared to 0.0% in Dike.
- More residents in Weyers cave have less than a high school education at 3.0% compared to 0.0% in Dike.
- A higher percentage of residents in Weyers cave hold a bachelor's degree or higher at 26.2% compared to 0.0% in Dike.
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.