Demographics details for Washington grove, MD vs Buda, TX
Population Overview
Compare main population characteristics in Washington grove, MD vs Buda, TX.
| Data | Washington grove | Buda |
|---|---|---|
| Population | 497 | 16,086 |
| Median Age | 58.1 years | 36.8 years |
| Median Income | $131,528 | $105,378 |
| Married Families | 50.0% | 44.0% |
| Poverty Level | Data is updating | 5% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Washington grove vs Buda
- The population in Buda is higher at 16,086, compared to 497 in Washington grove.
- Residents in Washington grove have a higher median age of 58.1 years compared to 36.8 years in Buda.
- Washington grove has a higher median income of $131,528 compared to $105,378 in Buda.
- A higher percentage of married families is found in Washington grove at 50.0% compared to 44.0% in Buda.
- The poverty level is higher in Buda at 5%, compared to 0% in Washington grove.
- The unemployment rate is the same in both Washington grove and Buda at 3.2%.
Demographics
Demographics Washington grove vs Buda provide insight into the diversity of the communities to compare.
| Demographic | Washington grove | Buda |
|---|---|---|
| Black | 15 | 1 |
| White | 72 | 59 |
| Asian | 3 | Data is updating |
| Hispanic | 5 | 30 |
| Two or More Races | 5 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Washington grove vs Buda
- A higher percentage of Black residents are in Washington grove at 15% compared to 1% in Buda.
- Washington grove has a higher percentage of White residents at 72% compared to 59% in Buda.
- The Asian population is larger in Washington grove at 3% compared to 0% in Buda.
- Buda has a higher percentage of Hispanic residents at 30%, compared to 5% in Washington grove.
- The percentage of residents identifying as two or more races is higher in Buda at 10%, compared to 5% in Washington grove.
- The percentage of American Indian residents is the same in both Washington grove and Buda at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Washington grove | Buda |
|---|---|---|
| Mental Health Not Good | 13.1% | 14.6% |
| Physical Health Not Good | 7.4% | 8.8% |
| Depression | 19.6% | 20.5% |
| Smoking | 9.3% | 11.4% |
| Binge Drinking | 14.2% | 20.1% |
| Obesity | 23.6% | 27.5% |
| Disability Percentage | 17.0% | 8.0% |
Health Statistics Comparison: Washington grove vs Buda
- In Buda, a higher percentage report poor mental health at 14.6% compared to 13.1% in Washington grove.
- Higher depression rates are seen in Buda at 20.5% versus 19.6% in Washington grove.
- Buda has a higher smoking rate at 11.4% compared to 9.3% in Washington grove.
- More residents engage in binge drinking in Buda at 20.1% compared to 14.2% in Washington grove.
- Buda has higher obesity rates at 27.5% compared to 23.6% in Washington grove.
- Disability percentages are higher in Washington grove at 17.0% compared to 8.0% in Buda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Washington grove | Buda |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (49) |
| High School Diploma | 5.2% (26) | 10.4% (1,668) |
| Less than High School | 0.8% (4) | 3.3% (532) |
| Bachelor's Degree and Higher | 69.2% (344) | 30.8% (4,960) |
Education Levels Comparison: Washington grove vs Buda
- In Buda, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Washington grove.
- In Buda, the rate of residents with high school diplomas is higher at 10.4% compared to 5.2% in Washington grove.
- The percentage of residents with less than a high school education is higher in Buda at 3.3%, compared to 0.8% in Washington grove.
- A higher percentage of residents in Washington grove hold a bachelor's degree or higher at 69.2% compared to 30.8% in Buda.
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.