Demographics details for Greenbelt, MD vs Burbank, WA
Population Overview
Compare main population characteristics in Greenbelt, MD vs Burbank, WA.
| Data | Greenbelt | Burbank |
|---|---|---|
| Population | 24,360 | 3,383 |
| Median Age | 37.2 years | 32.0 years |
| Median Income | $82,019 | $84,046 |
| Married Families | 30.0% | 45.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 6.5 | 3.5 |
Population Comparison: Greenbelt vs Burbank
- In Greenbelt, the population is higher at 24,360, compared to 3,383 in Burbank.
- Residents in Greenbelt have a higher median age of 37.2 years compared to 32.0 years in Burbank.
- Burbank has a higher median income of $84,046, compared to $82,019 in Greenbelt.
- In Burbank, the percentage of married families is higher at 45.0%, compared to 30.0% in Greenbelt.
- The poverty level is higher in Burbank at 10%, compared to 9% in Greenbelt.
- The unemployment rate in Greenbelt is higher at 6.5%, compared to 3.5% in Burbank.
Demographics
Demographics Greenbelt vs Burbank provide insight into the diversity of the communities to compare.
| Demographic | Greenbelt | Burbank |
|---|---|---|
| Black | 48 | 2 |
| White | 17 | 63 |
| Asian | 12 | Data is updating |
| Hispanic | 16 | 23 |
| Two or More Races | 6 | 12 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Greenbelt vs Burbank
- A higher percentage of Black residents are in Greenbelt at 48% compared to 2% in Burbank.
- The percentage of White residents is higher in Burbank at 63% compared to 17% in Greenbelt.
- The Asian population is larger in Greenbelt at 12% compared to 0% in Burbank.
- Burbank has a higher percentage of Hispanic residents at 23%, compared to 16% in Greenbelt.
- The percentage of residents identifying as two or more races is higher in Burbank at 12%, compared to 6% in Greenbelt.
- A greater percentage of American Indian residents live in Greenbelt at 1% compared to 0% in Burbank.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Greenbelt | Burbank |
|---|---|---|
| Mental Health Not Good | 12.9% | 19.3% |
| Physical Health Not Good | 8.1% | 13.3% |
| Depression | 13.0% | 28.5% |
| Smoking | 9.8% | 18.1% |
| Binge Drinking | 12.3% | 17.2% |
| Obesity | 36.0% | 34.9% |
| Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Greenbelt vs Burbank
- In Burbank, a higher percentage report poor mental health at 19.3% compared to 12.9% in Greenbelt.
- Higher depression rates are seen in Burbank at 28.5% versus 13.0% in Greenbelt.
- Burbank has a higher smoking rate at 18.1% compared to 9.8% in Greenbelt.
- More residents engage in binge drinking in Burbank at 17.2% compared to 12.3% in Greenbelt.
- Obesity rates are higher in Greenbelt at 36.0% compared to 34.9% in Burbank.
- Disability percentages are higher in Greenbelt at 10.0% compared to 9.0% in Burbank.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Greenbelt | Burbank |
|---|---|---|
| No Schooling | 2.2% (530) | 0.0% (Data is updating) |
| High School Diploma | 9.0% (2,195) | 21.5% (727) |
| Less than High School | 11.4% (2,766) | 8.4% (284) |
| Bachelor's Degree and Higher | 32.2% (7,832) | 12.2% (412) |
Education Levels Comparison: Greenbelt vs Burbank
- A higher percentage of residents in Greenbelt have no formal schooling at 2.2% compared to 0.0% in Burbank.
- In Burbank, the rate of residents with high school diplomas is higher at 21.5% compared to 9.0% in Greenbelt.
- More residents in Greenbelt have less than a high school education at 11.4% compared to 8.4% in Burbank.
- A higher percentage of residents in Greenbelt hold a bachelor's degree or higher at 32.2% compared to 12.2% in Burbank.
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.