Demographics details for Bassett, NE vs Greenbelt, MD
Population Overview
Compare main population characteristics in Bassett, NE vs Greenbelt, MD.
| Data | Bassett | Greenbelt |
|---|---|---|
| Population | 532 | 24,360 |
| Median Age | 43.7 years | 37.2 years |
| Median Income | $50,938 | $82,019 |
| Married Families | 50.0% | 30.0% |
| Poverty Level | 10% | 9% |
| Unemployment Rate | 3.5 | 6.5 |
Population Comparison: Bassett vs Greenbelt
- The population in Greenbelt is higher at 24,360, compared to 532 in Bassett.
- Residents in Bassett have a higher median age of 43.7 years compared to 37.2 years in Greenbelt.
- Greenbelt has a higher median income of $82,019, compared to $50,938 in Bassett.
- A higher percentage of married families is found in Bassett at 50.0% compared to 30.0% in Greenbelt.
- Bassett has a higher poverty level at 10% compared to 9% in Greenbelt.
- Greenbelt has a higher unemployment rate at 6.5% compared to 3.5% in Bassett.
Demographics
Demographics Bassett vs Greenbelt provide insight into the diversity of the communities to compare.
| Demographic | Bassett | Greenbelt |
|---|---|---|
| Black | Data is updating | 48 |
| White | 96 | 17 |
| Asian | Data is updating | 12 |
| Hispanic | 2 | 16 |
| Two or More Races | 1 | 6 |
| American Indian | 1 | 1 |
Demographics Comparison: Bassett vs Greenbelt
- In Greenbelt, the percentage of Black residents is higher at 48% compared to 0% in Bassett.
- Bassett has a higher percentage of White residents at 96% compared to 17% in Greenbelt.
- In Greenbelt, the Asian population stands at 12%, greater than 0% in Bassett.
- Greenbelt has a higher percentage of Hispanic residents at 16%, compared to 2% in Bassett.
- The percentage of residents identifying as two or more races is higher in Greenbelt at 6%, compared to 1% in Bassett.
- The percentage of American Indian residents is the same in both Bassett and Greenbelt at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bassett | Greenbelt |
|---|---|---|
| Mental Health Not Good | 13.0% | 12.9% |
| Physical Health Not Good | 8.8% | 8.1% |
| Depression | 16.8% | 13.0% |
| Smoking | 14.9% | 9.8% |
| Binge Drinking | 22.5% | 12.3% |
| Obesity | 37.9% | 36.0% |
| Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Bassett vs Greenbelt
- More residents in Bassett report poor mental health at 13.0% compared to 12.9% in Greenbelt.
- Depression is more prevalent in Bassett at 16.8% compared to 13.0% in Greenbelt.
- Smoking is more prevalent in Bassett at 14.9% compared to 9.8% in Greenbelt.
- Binge drinking is more common in Bassett at 22.5% compared to 12.3% in Greenbelt.
- Obesity rates are higher in Bassett at 37.9% compared to 36.0% in Greenbelt.
- Disability percentages are the same in both Bassett and Greenbelt at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bassett | Greenbelt |
|---|---|---|
| No Schooling | 1.3% (7) | 2.2% (530) |
| High School Diploma | 30.1% (160) | 9.0% (2,195) |
| Less than High School | 8.3% (44) | 11.4% (2,766) |
| Bachelor's Degree and Higher | 22.0% (117) | 32.2% (7,832) |
Education Levels Comparison: Bassett vs Greenbelt
- In Greenbelt, a larger percentage of residents lack formal schooling at 2.2% compared to 1.3% in Bassett.
- A higher percentage of residents in Bassett hold a high school diploma at 30.1% compared to 9.0% in Greenbelt.
- The percentage of residents with less than a high school education is higher in Greenbelt at 11.4%, compared to 8.3% in Bassett.
- In Greenbelt, a larger share of residents have a bachelor's degree or higher at 32.2% compared to 22.0% in Bassett.
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.