Demographics details for Wheeling, WV vs Dickinson, TX
Population Overview
Compare main population characteristics in Wheeling, WV vs Dickinson, TX.
| Data | Wheeling | Dickinson |
|---|---|---|
| Population | 26,391 | 21,738 |
| Median Age | 45.0 years | 35.8 years |
| Median Income | $46,516 | $81,739 |
| Married Families | 34.0% | 42.0% |
| Poverty Level | 18% | 9% |
| Unemployment Rate | 4.1 | 4.9 |
Population Comparison: Wheeling vs Dickinson
- In Wheeling, the population is higher at 26,391, compared to 21,738 in Dickinson.
- Residents in Wheeling have a higher median age of 45.0 years compared to 35.8 years in Dickinson.
- Dickinson has a higher median income of $81,739, compared to $46,516 in Wheeling.
- In Dickinson, the percentage of married families is higher at 42.0%, compared to 34.0% in Wheeling.
- Wheeling has a higher poverty level at 18% compared to 9% in Dickinson.
- Dickinson has a higher unemployment rate at 4.9% compared to 4.1% in Wheeling.
Demographics
Demographics Wheeling vs Dickinson provide insight into the diversity of the communities to compare.
| Demographic | Wheeling | Dickinson |
|---|---|---|
| Black | 4 | 7 |
| White | 90 | 36 |
| Asian | 1 | 1 |
| Hispanic | 1 | 39 |
| Two or More Races | 4 | 17 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wheeling vs Dickinson
- In Dickinson, the percentage of Black residents is higher at 7% compared to 4% in Wheeling.
- Wheeling has a higher percentage of White residents at 90% compared to 36% in Dickinson.
- Both Wheeling and Dickinson have the same percentage of Asian residents at 1%.
- Dickinson has a higher percentage of Hispanic residents at 39%, compared to 1% in Wheeling.
- The percentage of residents identifying as two or more races is higher in Dickinson at 17%, compared to 4% in Wheeling.
- The percentage of American Indian residents is the same in both Wheeling and Dickinson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wheeling | Dickinson |
|---|---|---|
| Mental Health Not Good | 19.5% | 17.2% |
| Physical Health Not Good | 13.3% | 12.3% |
| Depression | 28.7% | 22.7% |
| Smoking | 21.0% | 17.2% |
| Binge Drinking | 14.4% | 17.6% |
| Obesity | 40.4% | 36.5% |
| Disability Percentage | 17.0% | 11.0% |
Health Statistics Comparison: Wheeling vs Dickinson
- More residents in Wheeling report poor mental health at 19.5% compared to 17.2% in Dickinson.
- Depression is more prevalent in Wheeling at 28.7% compared to 22.7% in Dickinson.
- Smoking is more prevalent in Wheeling at 21.0% compared to 17.2% in Dickinson.
- More residents engage in binge drinking in Dickinson at 17.6% compared to 14.4% in Wheeling.
- Obesity rates are higher in Wheeling at 40.4% compared to 36.5% in Dickinson.
- Disability percentages are higher in Wheeling at 17.0% compared to 11.0% in Dickinson.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wheeling | Dickinson |
|---|---|---|
| No Schooling | 0.5% (130) | 1.9% (403) |
| High School Diploma | 22.3% (5,888) | 12.0% (2,607) |
| Less than High School | 10.1% (2,653) | 18.9% (4,116) |
| Bachelor's Degree and Higher | 23.5% (6,209) | 15.8% (3,445) |
Education Levels Comparison: Wheeling vs Dickinson
- In Dickinson, a larger percentage of residents lack formal schooling at 1.9% compared to 0.5% in Wheeling.
- A higher percentage of residents in Wheeling hold a high school diploma at 22.3% compared to 12.0% in Dickinson.
- The percentage of residents with less than a high school education is higher in Dickinson at 18.9%, compared to 10.1% in Wheeling.
- A higher percentage of residents in Wheeling hold a bachelor's degree or higher at 23.5% compared to 15.8% in Dickinson.
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.