Demographics details for Greenbelt, MD vs Elizabeth, WV
Population Overview
Compare main population characteristics in Greenbelt, MD vs Elizabeth, WV.
| Data | Greenbelt | Elizabeth |
|---|---|---|
| Population | 24,360 | 711 |
| Median Age | 37.2 years | 37.1 years |
| Median Income | $82,019 | $23,750 |
| Married Families | 30.0% | 35.0% |
| Poverty Level | 9% | 17% |
| Unemployment Rate | 6.5 | 4.1 |
Population Comparison: Greenbelt vs Elizabeth
- In Greenbelt, the population is higher at 24,360, compared to 711 in Elizabeth.
- Residents in Greenbelt have a higher median age of 37.2 years compared to 37.1 years in Elizabeth.
- Greenbelt has a higher median income of $82,019 compared to $23,750 in Elizabeth.
- In Elizabeth, the percentage of married families is higher at 35.0%, compared to 30.0% in Greenbelt.
- The poverty level is higher in Elizabeth at 17%, compared to 9% in Greenbelt.
- The unemployment rate in Greenbelt is higher at 6.5%, compared to 4.1% in Elizabeth.
Demographics
Demographics Greenbelt vs Elizabeth provide insight into the diversity of the communities to compare.
| Demographic | Greenbelt | Elizabeth |
|---|---|---|
| Black | 48 | 1 |
| White | 17 | 99 |
| Asian | 12 | Data is updating |
| Hispanic | 16 | Data is updating |
| Two or More Races | 6 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Greenbelt vs Elizabeth
- A higher percentage of Black residents are in Greenbelt at 48% compared to 1% in Elizabeth.
- The percentage of White residents is higher in Elizabeth at 99% compared to 17% in Greenbelt.
- The Asian population is larger in Greenbelt at 12% compared to 0% in Elizabeth.
- The Hispanic community is larger in Greenbelt at 16% compared to 0% in Elizabeth.
- More residents identify as two or more races in Greenbelt at 6% compared to 0% in Elizabeth.
- A greater percentage of American Indian residents live in Greenbelt at 1% compared to 0% in Elizabeth.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Greenbelt | Elizabeth |
|---|---|---|
| Mental Health Not Good | 12.9% | 22.4% |
| Physical Health Not Good | 8.1% | 16.1% |
| Depression | 13.0% | 31.0% |
| Smoking | 9.8% | 25.4% |
| Binge Drinking | 12.3% | 13.5% |
| Obesity | 36.0% | 42.8% |
| Disability Percentage | 10.0% | 28.0% |
Health Statistics Comparison: Greenbelt vs Elizabeth
- In Elizabeth, a higher percentage report poor mental health at 22.4% compared to 12.9% in Greenbelt.
- Higher depression rates are seen in Elizabeth at 31.0% versus 13.0% in Greenbelt.
- Elizabeth has a higher smoking rate at 25.4% compared to 9.8% in Greenbelt.
- More residents engage in binge drinking in Elizabeth at 13.5% compared to 12.3% in Greenbelt.
- Elizabeth has higher obesity rates at 42.8% compared to 36.0% in Greenbelt.
- There is a higher percentage of disabled individuals in Elizabeth at 28.0% compared to 10.0% in Greenbelt.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Greenbelt | Elizabeth |
|---|---|---|
| No Schooling | 2.2% (530) | 0.0% (Data is updating) |
| High School Diploma | 9.0% (2,195) | 19.8% (141) |
| Less than High School | 11.4% (2,766) | 35.2% (250) |
| Bachelor's Degree and Higher | 32.2% (7,832) | 9.0% (64) |
Education Levels Comparison: Greenbelt vs Elizabeth
- A higher percentage of residents in Greenbelt have no formal schooling at 2.2% compared to 0.0% in Elizabeth.
- In Elizabeth, the rate of residents with high school diplomas is higher at 19.8% compared to 9.0% in Greenbelt.
- The percentage of residents with less than a high school education is higher in Elizabeth at 35.2%, compared to 11.4% in Greenbelt.
- A higher percentage of residents in Greenbelt hold a bachelor's degree or higher at 32.2% compared to 9.0% in Elizabeth.
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.