Demographics details for Dickinson, TX vs Washington, LA
Population Overview
Compare main population characteristics in Dickinson, TX vs Washington, LA.
| Data | Dickinson | Washington |
|---|---|---|
| Population | 21,738 | 726 |
| Median Age | 35.8 years | 26.6 years |
| Median Income | $81,739 | $36,719 |
| Married Families | 42.0% | 23.0% |
| Poverty Level | 9% | 15% |
| Unemployment Rate | 4.9 | 5.2 |
Population Comparison: Dickinson vs Washington
- In Dickinson, the population is higher at 21,738, compared to 726 in Washington.
- Residents in Dickinson have a higher median age of 35.8 years compared to 26.6 years in Washington.
- Dickinson has a higher median income of $81,739 compared to $36,719 in Washington.
- A higher percentage of married families is found in Dickinson at 42.0% compared to 23.0% in Washington.
- The poverty level is higher in Washington at 15%, compared to 9% in Dickinson.
- Washington has a higher unemployment rate at 5.2% compared to 4.9% in Dickinson.
Demographics
Demographics Dickinson vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Dickinson | Washington |
|---|---|---|
| Black | 7 | 65 |
| White | 36 | 20 |
| Asian | 1 | Data is updating |
| Hispanic | 39 | 3 |
| Two or More Races | 17 | 12 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Dickinson vs Washington
- In Washington, the percentage of Black residents is higher at 65% compared to 7% in Dickinson.
- Dickinson has a higher percentage of White residents at 36% compared to 20% in Washington.
- The Asian population is larger in Dickinson at 1% compared to 0% in Washington.
- The Hispanic community is larger in Dickinson at 39% compared to 3% in Washington.
- More residents identify as two or more races in Dickinson at 17% compared to 12% in Washington.
- The percentage of American Indian residents is the same in both Dickinson and Washington at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dickinson | Washington |
|---|---|---|
| Mental Health Not Good | 17.2% | 21.1% |
| Physical Health Not Good | 12.3% | 15.3% |
| Depression | 22.7% | 25.5% |
| Smoking | 17.2% | 26.0% |
| Binge Drinking | 17.6% | 15.1% |
| Obesity | 36.5% | 41.5% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Dickinson vs Washington
- In Washington, a higher percentage report poor mental health at 21.1% compared to 17.2% in Dickinson.
- Higher depression rates are seen in Washington at 25.5% versus 22.7% in Dickinson.
- Washington has a higher smoking rate at 26.0% compared to 17.2% in Dickinson.
- Binge drinking is more common in Dickinson at 17.6% compared to 15.1% in Washington.
- Washington has higher obesity rates at 41.5% compared to 36.5% in Dickinson.
- Disability percentages are higher in Dickinson at 11.0% compared to 9.0% in Washington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Dickinson | Washington |
|---|---|---|
| No Schooling | 1.9% (403) | 0.0% (Data is updating) |
| High School Diploma | 12.0% (2,607) | 20.2% (147) |
| Less than High School | 18.9% (4,116) | 27.7% (201) |
| Bachelor's Degree and Higher | 15.8% (3,445) | 7.3% (53) |
Education Levels Comparison: Dickinson vs Washington
- A higher percentage of residents in Dickinson have no formal schooling at 1.9% compared to 0.0% in Washington.
- In Washington, the rate of residents with high school diplomas is higher at 20.2% compared to 12.0% in Dickinson.
- The percentage of residents with less than a high school education is higher in Washington at 27.7%, compared to 18.9% in Dickinson.
- A higher percentage of residents in Dickinson hold a bachelor's degree or higher at 15.8% compared to 7.3% in Washington.
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.