Demographics details for Glen arm, MD vs Buda, TX
Population Overview
Compare main population characteristics in Glen arm, MD vs Buda, TX.
| Data | Glen arm | Buda |
|---|---|---|
| Population | 1,952 | 16,086 |
| Median Age | 42.0 years | 36.8 years |
| Median Income | $114,000 | $105,378 |
| Married Families | 500.0% | 44.0% |
| Poverty Level | 2% | 5% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Glen arm vs Buda
- The population in Buda is higher at 16,086, compared to 1,952 in Glen arm.
- Residents in Glen arm have a higher median age of 42.0 years compared to 36.8 years in Buda.
- Glen arm has a higher median income of $114,000 compared to $105,378 in Buda.
- A higher percentage of married families is found in Glen arm at 500.0% compared to 44.0% in Buda.
- The poverty level is higher in Buda at 5%, compared to 2% in Glen arm.
- The unemployment rate in Glen arm is higher at 3.5%, compared to 3.2% in Buda.
Demographics
Demographics Glen arm vs Buda provide insight into the diversity of the communities to compare.
| Demographic | Glen arm | Buda |
|---|---|---|
| Black | 10 | 1 |
| White | 80 | 59 |
| Asian | 5 | Data is updating |
| Hispanic | 3 | 30 |
| Two or More Races | 2 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Glen arm vs Buda
- A higher percentage of Black residents are in Glen arm at 10% compared to 1% in Buda.
- Glen arm has a higher percentage of White residents at 80% compared to 59% in Buda.
- The Asian population is larger in Glen arm at 5% compared to 0% in Buda.
- Buda has a higher percentage of Hispanic residents at 30%, compared to 3% in Glen arm.
- The percentage of residents identifying as two or more races is higher in Buda at 10%, compared to 2% in Glen arm.
- The percentage of American Indian residents is the same in both Glen arm and Buda at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Glen arm | Buda |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.6% |
| Physical Health Not Good | Data is updating% | 8.8% |
| Depression | Data is updating% | 20.5% |
| Smoking | Data is updating% | 11.4% |
| Binge Drinking | Data is updating% | 20.1% |
| Obesity | Data is updating% | 27.5% |
| Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Glen arm vs Buda
- In Buda, a higher percentage report poor mental health at 14.6% compared to 0.0% in Glen arm.
- Higher depression rates are seen in Buda at 20.5% versus 0.0% in Glen arm.
- Buda has a higher smoking rate at 11.4% compared to 0.0% in Glen arm.
- More residents engage in binge drinking in Buda at 20.1% compared to 0.0% in Glen arm.
- Buda has higher obesity rates at 27.5% compared to 0.0% in Glen arm.
- There is a higher percentage of disabled individuals in Buda at 8.0% compared to 0.0% in Glen arm.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Glen arm | Buda |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.3% (49) |
| High School Diploma | 0.0% (Data is updating) | 10.4% (1,668) |
| Less than High School | 0.0% (Data is updating) | 3.3% (532) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 30.8% (4,960) |
Education Levels Comparison: Glen arm vs Buda
- In Buda, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Glen arm.
- In Buda, the rate of residents with high school diplomas is higher at 10.4% compared to 0.0% in Glen arm.
- The percentage of residents with less than a high school education is higher in Buda at 3.3%, compared to 0.0% in Glen arm.
- In Buda, a larger share of residents have a bachelor's degree or higher at 30.8% compared to 0.0% in Glen arm.
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.