Demographics details for Greenbelt, MD vs Irvine, CA
Population Overview
Compare main population characteristics in Greenbelt, MD vs Irvine, CA.
| Data | Greenbelt | Irvine |
|---|---|---|
| Population | 24,360 | 313,685 |
| Median Age | 37.2 years | 33.8 years |
| Median Income | $82,019 | $122,948 |
| Married Families | 30.0% | 39.0% |
| Poverty Level | 9% | 6% |
| Unemployment Rate | 6.5 | 4.2 |
Population Comparison: Greenbelt vs Irvine
- The population in Irvine is higher at 313,685, compared to 24,360 in Greenbelt.
- Residents in Greenbelt have a higher median age of 37.2 years compared to 33.8 years in Irvine.
- Irvine has a higher median income of $122,948, compared to $82,019 in Greenbelt.
- In Irvine, the percentage of married families is higher at 39.0%, compared to 30.0% in Greenbelt.
- Greenbelt has a higher poverty level at 9% compared to 6% in Irvine.
- The unemployment rate in Greenbelt is higher at 6.5%, compared to 4.2% in Irvine.
Demographics
Demographics Greenbelt vs Irvine provide insight into the diversity of the communities to compare.
| Demographic | Greenbelt | Irvine |
|---|---|---|
| Black | 48 | 2 |
| White | 17 | 34 |
| Asian | 12 | 43 |
| Hispanic | 16 | 11 |
| Two or More Races | 6 | 10 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Greenbelt vs Irvine
- A higher percentage of Black residents are in Greenbelt at 48% compared to 2% in Irvine.
- The percentage of White residents is higher in Irvine at 34% compared to 17% in Greenbelt.
- In Irvine, the Asian population stands at 43%, greater than 12% in Greenbelt.
- The Hispanic community is larger in Greenbelt at 16% compared to 11% in Irvine.
- The percentage of residents identifying as two or more races is higher in Irvine at 10%, compared to 6% in Greenbelt.
- A greater percentage of American Indian residents live in Greenbelt at 1% compared to 0% in Irvine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Greenbelt | Irvine |
|---|---|---|
| Mental Health Not Good | 12.9% | 12.7% |
| Physical Health Not Good | 8.1% | 7.7% |
| Depression | 13.0% | 15.4% |
| Smoking | 9.8% | 7.5% |
| Binge Drinking | 12.3% | 14.9% |
| Obesity | 36.0% | 21.0% |
| Disability Percentage | 10.0% | 5.0% |
Health Statistics Comparison: Greenbelt vs Irvine
- More residents in Greenbelt report poor mental health at 12.9% compared to 12.7% in Irvine.
- Higher depression rates are seen in Irvine at 15.4% versus 13.0% in Greenbelt.
- Smoking is more prevalent in Greenbelt at 9.8% compared to 7.5% in Irvine.
- More residents engage in binge drinking in Irvine at 14.9% compared to 12.3% in Greenbelt.
- Obesity rates are higher in Greenbelt at 36.0% compared to 21.0% in Irvine.
- Disability percentages are higher in Greenbelt at 10.0% compared to 5.0% in Irvine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Greenbelt | Irvine |
|---|---|---|
| No Schooling | 2.2% (530) | 0.8% (2,579) |
| High School Diploma | 9.0% (2,195) | 3.8% (12,010) |
| Less than High School | 11.4% (2,766) | 3.4% (10,664) |
| Bachelor's Degree and Higher | 32.2% (7,832) | 44.3% (138,926) |
Education Levels Comparison: Greenbelt vs Irvine
- A higher percentage of residents in Greenbelt have no formal schooling at 2.2% compared to 0.8% in Irvine.
- A higher percentage of residents in Greenbelt hold a high school diploma at 9.0% compared to 3.8% in Irvine.
- More residents in Greenbelt have less than a high school education at 11.4% compared to 3.4% in Irvine.
- In Irvine, a larger share of residents have a bachelor's degree or higher at 44.3% compared to 32.2% in Greenbelt.
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.