Demographics details for Washington, KS vs Garland, TX
Population Overview
Compare main population characteristics in Washington, KS vs Garland, TX.
| Data | Washington | Garland |
|---|---|---|
| Population | 5,501 | 240,854 |
| Median Age | 44.9 years | 34.4 years |
| Median Income | $59,432 | $71,044 |
| Married Families | 46.0% | 39.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.0 | 4.0 |
Population Comparison: Washington vs Garland
- The population in Garland is higher at 240,854, compared to 5,501 in Washington.
- Residents in Washington have a higher median age of 44.9 years compared to 34.4 years in Garland.
- Garland has a higher median income of $71,044, compared to $59,432 in Washington.
- A higher percentage of married families is found in Washington at 46.0% compared to 39.0% in Garland.
- The poverty level is identical in both Washington and Garland at 12%.
- Garland has a higher unemployment rate at 4.0% compared to 3.0% in Washington.
Demographics
Demographics Washington vs Garland provide insight into the diversity of the communities to compare.
| Demographic | Washington | Garland |
|---|---|---|
| Black | Data is updating | 16 |
| White | 93 | 6 |
| Asian | 1 | 11 |
| Hispanic | 4 | 45 |
| Two or More Races | 2 | 21 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Washington vs Garland
- In Garland, the percentage of Black residents is higher at 16% compared to 0% in Washington.
- Washington has a higher percentage of White residents at 93% compared to 6% in Garland.
- In Garland, the Asian population stands at 11%, greater than 1% in Washington.
- Garland has a higher percentage of Hispanic residents at 45%, compared to 4% in Washington.
- The percentage of residents identifying as two or more races is higher in Garland at 21%, compared to 2% in Washington.
- In Garland, the percentage of American Indian residents is higher at 1%, compared to 0% in Washington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington | Garland |
|---|---|---|
| Mental Health Not Good | 15.8% | 17.1% |
| Physical Health Not Good | 10.1% | 12.1% |
| Depression | 20.9% | 22.2% |
| Smoking | 18.8% | 17.2% |
| Binge Drinking | 20.4% | 17.6% |
| Obesity | 42.1% | 33.9% |
| Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: Washington vs Garland
- In Garland, a higher percentage report poor mental health at 17.1% compared to 15.8% in Washington.
- Higher depression rates are seen in Garland at 22.2% versus 20.9% in Washington.
- Smoking is more prevalent in Washington at 18.8% compared to 17.2% in Garland.
- Binge drinking is more common in Washington at 20.4% compared to 17.6% in Garland.
- Obesity rates are higher in Washington at 42.1% compared to 33.9% in Garland.
- Disability percentages are higher in Washington at 14.0% 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 | Washington | Garland |
|---|---|---|
| No Schooling | 0.8% (45) | 2.5% (6,080) |
| High School Diploma | 24.9% (1,368) | 13.9% (33,524) |
| Less than High School | 9.0% (494) | 24.7% (59,406) |
| Bachelor's Degree and Higher | 15.8% (869) | 15.5% (37,249) |
Education Levels Comparison: Washington vs Garland
- In Garland, a larger percentage of residents lack formal schooling at 2.5% compared to 0.8% in Washington.
- A higher percentage of residents in Washington hold a high school diploma at 24.9% compared to 13.9% in Garland.
- The percentage of residents with less than a high school education is higher in Garland at 24.7%, compared to 9.0% in Washington.
- A higher percentage of residents in Washington hold a bachelor's degree or higher at 15.8% 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.