Demographics details for Greenbelt, MD vs Jackson, MI
Population Overview
Compare main population characteristics in Greenbelt, MD vs Jackson, MI.
| Data | Greenbelt | Jackson |
|---|---|---|
| Population | 24,360 | 31,031 |
| Median Age | 37.2 years | 35.0 years |
| Median Income | $82,019 | $41,988 |
| Married Families | 30.0% | 27.0% |
| Poverty Level | 9% | 21% |
| Unemployment Rate | 6.5 | 7.9 |
Population Comparison: Greenbelt vs Jackson
- The population in Jackson is higher at 31,031, compared to 24,360 in Greenbelt.
- Residents in Greenbelt have a higher median age of 37.2 years compared to 35.0 years in Jackson.
- Greenbelt has a higher median income of $82,019 compared to $41,988 in Jackson.
- A higher percentage of married families is found in Greenbelt at 30.0% compared to 27.0% in Jackson.
- The poverty level is higher in Jackson at 21%, compared to 9% in Greenbelt.
- Jackson has a higher unemployment rate at 7.9% compared to 6.5% in Greenbelt.
Demographics
Demographics Greenbelt vs Jackson provide insight into the diversity of the communities to compare.
| Demographic | Greenbelt | Jackson |
|---|---|---|
| Black | 48 | 21 |
| White | 17 | 62 |
| Asian | 12 | 1 |
| Hispanic | 16 | 6 |
| Two or More Races | 6 | 10 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Greenbelt vs Jackson
- A higher percentage of Black residents are in Greenbelt at 48% compared to 21% in Jackson.
- The percentage of White residents is higher in Jackson at 62% compared to 17% in Greenbelt.
- The Asian population is larger in Greenbelt at 12% compared to 1% in Jackson.
- The Hispanic community is larger in Greenbelt at 16% compared to 6% in Jackson.
- The percentage of residents identifying as two or more races is higher in Jackson at 10%, compared to 6% in Greenbelt.
- A greater percentage of American Indian residents live in Greenbelt at 1% compared to 0% in Jackson.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Greenbelt | Jackson |
|---|---|---|
| Mental Health Not Good | 12.9% | 21.3% |
| Physical Health Not Good | 8.1% | 15.0% |
| Depression | 13.0% | 27.0% |
| Smoking | 9.8% | 26.4% |
| Binge Drinking | 12.3% | 14.9% |
| Obesity | 36.0% | 41.0% |
| Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Greenbelt vs Jackson
- In Jackson, a higher percentage report poor mental health at 21.3% compared to 12.9% in Greenbelt.
- Higher depression rates are seen in Jackson at 27.0% versus 13.0% in Greenbelt.
- Jackson has a higher smoking rate at 26.4% compared to 9.8% in Greenbelt.
- More residents engage in binge drinking in Jackson at 14.9% compared to 12.3% in Greenbelt.
- Jackson has higher obesity rates at 41.0% compared to 36.0% in Greenbelt.
- There is a higher percentage of disabled individuals in Jackson at 16.0% 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 | Jackson |
|---|---|---|
| No Schooling | 2.2% (530) | 0.5% (166) |
| High School Diploma | 9.0% (2,195) | 21.1% (6,548) |
| Less than High School | 11.4% (2,766) | 14.2% (4,397) |
| Bachelor's Degree and Higher | 32.2% (7,832) | 10.1% (3,126) |
Education Levels Comparison: Greenbelt vs Jackson
- A higher percentage of residents in Greenbelt have no formal schooling at 2.2% compared to 0.5% in Jackson.
- In Jackson, the rate of residents with high school diplomas is higher at 21.1% compared to 9.0% in Greenbelt.
- The percentage of residents with less than a high school education is higher in Jackson at 14.2%, 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 10.1% in Jackson.
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.