Demographics details for Garland, TX vs Washington, DC
Population Overview
Compare main population characteristics in Garland, TX vs Washington, DC.
| Data | Garland | Washington |
|---|---|---|
| Population | 240,854 | 671,803 |
| Median Age | 34.4 years | 34.8 years |
| Median Income | $71,044 | $101,722 |
| Married Families | 39.0% | 26.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 4.0 | 6.3 |
Population Comparison: Garland vs Washington
- The population in Washington is higher at 671,803, compared to 240,854 in Garland.
- The median age in Washington is higher at 34.8 years, compared to 34.4 years in Garland.
- Washington has a higher median income of $101,722, compared to $71,044 in Garland.
- A higher percentage of married families is found in Garland at 39.0% compared to 26.0% in Washington.
- The poverty level is higher in Washington at 18%, compared to 12% in Garland.
- Washington has a higher unemployment rate at 6.3% compared to 4.0% in Garland.
Demographics
Demographics Garland vs Washington provide insight into the diversity of the communities to compare.
| Demographic | Garland | Washington |
|---|---|---|
| Black | 16 | 44 |
| White | 6 | 34 |
| Asian | 11 | 4 |
| Hispanic | 45 | 11 |
| Two or More Races | 21 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Garland vs Washington
- In Washington, the percentage of Black residents is higher at 44% compared to 16% in Garland.
- The percentage of White residents is higher in Washington at 34% compared to 6% in Garland.
- The Asian population is larger in Garland at 11% compared to 4% in Washington.
- The Hispanic community is larger in Garland at 45% compared to 11% in Washington.
- More residents identify as two or more races in Garland at 21% compared to 7% in Washington.
- A greater percentage of American Indian residents live in Garland at 1% compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Garland | Washington |
|---|---|---|
| Mental Health Not Good | 17.1% | 14.0% |
| Physical Health Not Good | 12.1% | 8.6% |
| Depression | 22.2% | 20.1% |
| Smoking | 17.2% | 12.4% |
| Binge Drinking | 17.6% | 20.7% |
| Obesity | 33.9% | 25.6% |
| Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Garland vs Washington
- More residents in Garland report poor mental health at 17.1% compared to 14.0% in Washington.
- Depression is more prevalent in Garland at 22.2% compared to 20.1% in Washington.
- Smoking is more prevalent in Garland at 17.2% compared to 12.4% in Washington.
- More residents engage in binge drinking in Washington at 20.7% compared to 17.6% in Garland.
- Obesity rates are higher in Garland at 33.9% compared to 25.6% in Washington.
- There is a higher percentage of disabled individuals in Washington at 11.0% compared to 9.0% in Garland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Garland | Washington |
|---|---|---|
| No Schooling | 2.5% (6,080) | 0.9% (6,109) |
| High School Diploma | 13.9% (33,524) | 9.1% (61,269) |
| Less than High School | 24.7% (59,406) | 6.8% (45,577) |
| Bachelor's Degree and Higher | 15.5% (37,249) | 45.2% (303,532) |
Education Levels Comparison: Garland vs Washington
- A higher percentage of residents in Garland have no formal schooling at 2.5% compared to 0.9% in Washington.
- A higher percentage of residents in Garland hold a high school diploma at 13.9% compared to 9.1% in Washington.
- More residents in Garland have less than a high school education at 24.7% compared to 6.8% in Washington.
- In Washington, a larger share of residents have a bachelor's degree or higher at 45.2% compared to 15.5% in Garland.
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.