Demographics details for Greenbelt, MD vs Piper city, IL
Population Overview
Compare main population characteristics in Greenbelt, MD vs Piper city, IL.
Data | Greenbelt | Piper city |
---|---|---|
Population | 24,360 | 729 |
Median Age | 37.2 years | 48.3 years |
Median Income | $82,019 | $38,750 |
Married Families | 30.0% | 40.0% |
Poverty Level | 9% | 11% |
Unemployment Rate | 6.5 | 3.2 |
Population Comparison: Greenbelt vs Piper city
- In Greenbelt, the population is higher at 24,360, compared to 729 in Piper city.
- The median age in Piper city is higher at 48.3 years, compared to 37.2 years in Greenbelt.
- Greenbelt has a higher median income of $82,019 compared to $38,750 in Piper city.
- In Piper city, the percentage of married families is higher at 40.0%, compared to 30.0% in Greenbelt.
- The poverty level is higher in Piper city at 11%, compared to 9% in Greenbelt.
- The unemployment rate in Greenbelt is higher at 6.5%, compared to 3.2% in Piper city.
Demographics
Demographics Greenbelt vs Piper city provide insight into the diversity of the communities to compare.
Demographic | Greenbelt | Piper city |
---|---|---|
Black | 48 | 2 |
White | 17 | 94 |
Asian | 12 | Data is updating |
Hispanic | 16 | 3 |
Two or More Races | 6 | 1 |
American Indian | 1 | Data is updating |
Demographics Comparison: Greenbelt vs Piper city
- A higher percentage of Black residents are in Greenbelt at 48% compared to 2% in Piper city.
- The percentage of White residents is higher in Piper city at 94% compared to 17% in Greenbelt.
- The Asian population is larger in Greenbelt at 12% compared to 0% in Piper city.
- The Hispanic community is larger in Greenbelt at 16% compared to 3% in Piper city.
- More residents identify as two or more races in Greenbelt at 6% compared to 1% in Piper city.
- A greater percentage of American Indian residents live in Greenbelt at 1% compared to 0% in Piper city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Greenbelt | Piper city |
---|---|---|
Mental Health Not Good | 12.9% | 17.8% |
Physical Health Not Good | 8.1% | 12.8% |
Depression | 13.0% | 23.2% |
Smoking | 9.8% | 20.6% |
Binge Drinking | 12.3% | 17.3% |
Obesity | 36.0% | 38.4% |
Disability Percentage | 10.0% | 26.0% |
Health Statistics Comparison: Greenbelt vs Piper city
- In Piper city, a higher percentage report poor mental health at 17.8% compared to 12.9% in Greenbelt.
- Higher depression rates are seen in Piper city at 23.2% versus 13.0% in Greenbelt.
- Piper city has a higher smoking rate at 20.6% compared to 9.8% in Greenbelt.
- More residents engage in binge drinking in Piper city at 17.3% compared to 12.3% in Greenbelt.
- Piper city has higher obesity rates at 38.4% compared to 36.0% in Greenbelt.
- There is a higher percentage of disabled individuals in Piper city at 26.0% 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 | Piper city |
---|---|---|
No Schooling | 2.2% (530) | 0.1% (1) |
High School Diploma | 9.0% (2,195) | 30.3% (221) |
Less than High School | 11.4% (2,766) | 10.8% (79) |
Bachelor's Degree and Higher | 32.2% (7,832) | 5.8% (42) |
Education Levels Comparison: Greenbelt vs Piper city
- A higher percentage of residents in Greenbelt have no formal schooling at 2.2% compared to 0.1% in Piper city.
- In Piper city, the rate of residents with high school diplomas is higher at 30.3% compared to 9.0% in Greenbelt.
- More residents in Greenbelt have less than a high school education at 11.4% compared to 10.8% in Piper city.
- A higher percentage of residents in Greenbelt hold a bachelor's degree or higher at 32.2% compared to 5.8% in Piper 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.