Demographics details for Greenbelt, MD vs Union city, PA
Population Overview
Compare main population characteristics in Greenbelt, MD vs Union city, PA.
| Data | Greenbelt | Union city |
|---|---|---|
| Population | 24,360 | 2,887 |
| Median Age | 37.2 years | 46.6 years |
| Median Income | $82,019 | $41,764 |
| Married Families | 30.0% | 40.0% |
| Poverty Level | 9% | 12% |
| Unemployment Rate | 6.5 | 5.2 |
Population Comparison: Greenbelt vs Union city
- In Greenbelt, the population is higher at 24,360, compared to 2,887 in Union city.
- The median age in Union city is higher at 46.6 years, compared to 37.2 years in Greenbelt.
- Greenbelt has a higher median income of $82,019 compared to $41,764 in Union city.
- In Union city, the percentage of married families is higher at 40.0%, compared to 30.0% in Greenbelt.
- The poverty level is higher in Union city at 12%, compared to 9% in Greenbelt.
- The unemployment rate in Greenbelt is higher at 6.5%, compared to 5.2% in Union city.
Demographics
Demographics Greenbelt vs Union city provide insight into the diversity of the communities to compare.
| Demographic | Greenbelt | Union city |
|---|---|---|
| Black | 48 | Data is updating |
| White | 17 | 91 |
| Asian | 12 | Data is updating |
| Hispanic | 16 | 4 |
| Two or More Races | 6 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Greenbelt vs Union city
- A higher percentage of Black residents are in Greenbelt at 48% compared to 0% in Union city.
- The percentage of White residents is higher in Union city at 91% compared to 17% in Greenbelt.
- The Asian population is larger in Greenbelt at 12% compared to 0% in Union city.
- The Hispanic community is larger in Greenbelt at 16% compared to 4% in Union city.
- More residents identify as two or more races in Greenbelt at 6% compared to 5% in Union city.
- A greater percentage of American Indian residents live in Greenbelt at 1% compared to 0% in Union city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Greenbelt | Union city |
|---|---|---|
| Mental Health Not Good | 12.9% | 19.6% |
| Physical Health Not Good | 8.1% | 14.5% |
| Depression | 13.0% | 24.6% |
| Smoking | 9.8% | 25.3% |
| Binge Drinking | 12.3% | 17.8% |
| Obesity | 36.0% | 39.2% |
| Disability Percentage | 10.0% | 21.0% |
Health Statistics Comparison: Greenbelt vs Union city
- In Union city, a higher percentage report poor mental health at 19.6% compared to 12.9% in Greenbelt.
- Higher depression rates are seen in Union city at 24.6% versus 13.0% in Greenbelt.
- Union city has a higher smoking rate at 25.3% compared to 9.8% in Greenbelt.
- More residents engage in binge drinking in Union city at 17.8% compared to 12.3% in Greenbelt.
- Union city has higher obesity rates at 39.2% compared to 36.0% in Greenbelt.
- There is a higher percentage of disabled individuals in Union city at 21.0% 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 | Union city |
|---|---|---|
| No Schooling | 2.2% (530) | 0.3% (9) |
| High School Diploma | 9.0% (2,195) | 42.5% (1,226) |
| Less than High School | 11.4% (2,766) | 16.5% (476) |
| Bachelor's Degree and Higher | 32.2% (7,832) | 8.2% (237) |
Education Levels Comparison: Greenbelt vs Union city
- A higher percentage of residents in Greenbelt have no formal schooling at 2.2% compared to 0.3% in Union city.
- In Union city, the rate of residents with high school diplomas is higher at 42.5% compared to 9.0% in Greenbelt.
- The percentage of residents with less than a high school education is higher in Union city at 16.5%, 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 8.2% in Union city.
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.