Demographics details for Greenbelt, MD vs Perris, CA
Population Overview
Compare main population characteristics in Greenbelt, MD vs Perris, CA.
Data | Greenbelt | Perris |
---|---|---|
Population | 24,360 | 80,263 |
Median Age | 37.2 years | 30.0 years |
Median Income | $82,019 | $78,352 |
Married Families | 30.0% | 36.0% |
Poverty Level | 9% | 14% |
Unemployment Rate | 6.5 | 6.7 |
Population Comparison: Greenbelt vs Perris
- The population in Perris is higher at 80,263, compared to 24,360 in Greenbelt.
- Residents in Greenbelt have a higher median age of 37.2 years compared to 30.0 years in Perris.
- Greenbelt has a higher median income of $82,019 compared to $78,352 in Perris.
- In Perris, the percentage of married families is higher at 36.0%, compared to 30.0% in Greenbelt.
- The poverty level is higher in Perris at 14%, compared to 9% in Greenbelt.
- Perris has a higher unemployment rate at 6.7% compared to 6.5% in Greenbelt.
Demographics
Demographics Greenbelt vs Perris provide insight into the diversity of the communities to compare.
Demographic | Greenbelt | Perris |
---|---|---|
Black | 48 | 9 |
White | 17 | -4 |
Asian | 12 | 4 |
Hispanic | 16 | 78 |
Two or More Races | 6 | 12 |
American Indian | 1 | 1 |
Demographics Comparison: Greenbelt vs Perris
- A higher percentage of Black residents are in Greenbelt at 48% compared to 9% in Perris.
- Greenbelt has a higher percentage of White residents at 17% compared to -4% in Perris.
- The Asian population is larger in Greenbelt at 12% compared to 4% in Perris.
- Perris has a higher percentage of Hispanic residents at 78%, compared to 16% in Greenbelt.
- The percentage of residents identifying as two or more races is higher in Perris at 12%, compared to 6% in Greenbelt.
- The percentage of American Indian residents is the same in both Greenbelt and Perris at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Greenbelt | Perris |
---|---|---|
Mental Health Not Good | 12.9% | 17.0% |
Physical Health Not Good | 8.1% | 14.1% |
Depression | 13.0% | 16.8% |
Smoking | 9.8% | 15.1% |
Binge Drinking | 12.3% | 14.9% |
Obesity | 36.0% | 40.3% |
Disability Percentage | 10.0% | 8.0% |
Health Statistics Comparison: Greenbelt vs Perris
- In Perris, a higher percentage report poor mental health at 17.0% compared to 12.9% in Greenbelt.
- Higher depression rates are seen in Perris at 16.8% versus 13.0% in Greenbelt.
- Perris has a higher smoking rate at 15.1% compared to 9.8% in Greenbelt.
- More residents engage in binge drinking in Perris at 14.9% compared to 12.3% in Greenbelt.
- Perris has higher obesity rates at 40.3% compared to 36.0% in Greenbelt.
- Disability percentages are higher in Greenbelt at 10.0% compared to 8.0% in Perris.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Greenbelt | Perris |
---|---|---|
No Schooling | 2.2% (530) | 4.4% (3,496) |
High School Diploma | 9.0% (2,195) | 16.9% (13,578) |
Less than High School | 11.4% (2,766) | 33.8% (27,099) |
Bachelor's Degree and Higher | 32.2% (7,832) | 5.8% (4,674) |
Education Levels Comparison: Greenbelt vs Perris
- In Perris, a larger percentage of residents lack formal schooling at 4.4% compared to 2.2% in Greenbelt.
- In Perris, the rate of residents with high school diplomas is higher at 16.9% compared to 9.0% in Greenbelt.
- The percentage of residents with less than a high school education is higher in Perris at 33.8%, 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 5.8% in Perris.
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.