Demographics details for Greenbelt, MD vs Monroe city, MO
Population Overview
Compare main population characteristics in Greenbelt, MD vs Monroe city, MO.
| Data | Greenbelt | Monroe city |
|---|---|---|
| Population | 24,360 | 2,650 |
| Median Age | 37.2 years | 40.1 years |
| Median Income | $82,019 | $50,885 |
| Married Families | 30.0% | 42.0% |
| Poverty Level | 9% | 13% |
| Unemployment Rate | 6.5 | 3.2 |
Population Comparison: Greenbelt vs Monroe city
- In Greenbelt, the population is higher at 24,360, compared to 2,650 in Monroe city.
- The median age in Monroe city is higher at 40.1 years, compared to 37.2 years in Greenbelt.
- Greenbelt has a higher median income of $82,019 compared to $50,885 in Monroe city.
- In Monroe city, the percentage of married families is higher at 42.0%, compared to 30.0% in Greenbelt.
- The poverty level is higher in Monroe city at 13%, compared to 9% in Greenbelt.
- The unemployment rate in Greenbelt is higher at 6.5%, compared to 3.2% in Monroe city.
Demographics
Demographics Greenbelt vs Monroe city provide insight into the diversity of the communities to compare.
| Demographic | Greenbelt | Monroe city |
|---|---|---|
| Black | 48 | 11 |
| White | 17 | 79 |
| Asian | 12 | 2 |
| Hispanic | 16 | 1 |
| Two or More Races | 6 | 5 |
| American Indian | 1 | 2 |
Demographics Comparison: Greenbelt vs Monroe city
- A higher percentage of Black residents are in Greenbelt at 48% compared to 11% in Monroe city.
- The percentage of White residents is higher in Monroe city at 79% compared to 17% in Greenbelt.
- The Asian population is larger in Greenbelt at 12% compared to 2% in Monroe city.
- The Hispanic community is larger in Greenbelt at 16% compared to 1% in Monroe city.
- More residents identify as two or more races in Greenbelt at 6% compared to 5% in Monroe city.
- In Monroe city, the percentage of American Indian residents is higher at 2%, compared to 1% in Greenbelt.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Greenbelt | Monroe city |
|---|---|---|
| Mental Health Not Good | 12.9% | 18.6% |
| Physical Health Not Good | 8.1% | 13.1% |
| Depression | 13.0% | 25.7% |
| Smoking | 9.8% | 22.3% |
| Binge Drinking | 12.3% | 17.7% |
| Obesity | 36.0% | 41.5% |
| Disability Percentage | 10.0% | 21.0% |
Health Statistics Comparison: Greenbelt vs Monroe city
- In Monroe city, a higher percentage report poor mental health at 18.6% compared to 12.9% in Greenbelt.
- Higher depression rates are seen in Monroe city at 25.7% versus 13.0% in Greenbelt.
- Monroe city has a higher smoking rate at 22.3% compared to 9.8% in Greenbelt.
- More residents engage in binge drinking in Monroe city at 17.7% compared to 12.3% in Greenbelt.
- Monroe city has higher obesity rates at 41.5% compared to 36.0% in Greenbelt.
- There is a higher percentage of disabled individuals in Monroe 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 | Monroe city |
|---|---|---|
| No Schooling | 2.2% (530) | 0.5% (13) |
| High School Diploma | 9.0% (2,195) | 33.2% (880) |
| Less than High School | 11.4% (2,766) | 20.6% (545) |
| Bachelor's Degree and Higher | 32.2% (7,832) | 12.2% (323) |
Education Levels Comparison: Greenbelt vs Monroe city
- A higher percentage of residents in Greenbelt have no formal schooling at 2.2% compared to 0.5% in Monroe city.
- In Monroe city, the rate of residents with high school diplomas is higher at 33.2% compared to 9.0% in Greenbelt.
- The percentage of residents with less than a high school education is higher in Monroe city at 20.6%, 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 12.2% in Monroe 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.