Demographics details for Glen arm, MD vs Pittsburg, CA
Population Overview
Compare main population characteristics in Glen arm, MD vs Pittsburg, CA.
Data | Glen arm | Pittsburg |
---|---|---|
Population | 1,952 | 77,572 |
Median Age | 42.0 years | 35.2 years |
Median Income | $114,000 | $98,408 |
Married Families | 500.0% | 37.0% |
Poverty Level | 2% | Data is updating |
Unemployment Rate | 3.5 | 5.3 |
Population Comparison: Glen arm vs Pittsburg
- The population in Pittsburg is higher at 77,572, compared to 1,952 in Glen arm.
- Residents in Glen arm have a higher median age of 42.0 years compared to 35.2 years in Pittsburg.
- Glen arm has a higher median income of $114,000 compared to $98,408 in Pittsburg.
- A higher percentage of married families is found in Glen arm at 500.0% compared to 37.0% in Pittsburg.
- Glen arm has a higher poverty level at 2% compared to 0% in Pittsburg.
- Pittsburg has a higher unemployment rate at 5.3% compared to 3.5% in Glen arm.
Demographics
Demographics Glen arm vs Pittsburg provide insight into the diversity of the communities to compare.
Demographic | Glen arm | Pittsburg |
---|---|---|
Black | 10 | 15 |
White | 80 | 9 |
Asian | 5 | 18 |
Hispanic | 3 | 43 |
Two or More Races | 2 | 14 |
American Indian | Data is updating | 1 |
Demographics Comparison: Glen arm vs Pittsburg
- In Pittsburg, the percentage of Black residents is higher at 15% compared to 10% in Glen arm.
- Glen arm has a higher percentage of White residents at 80% compared to 9% in Pittsburg.
- In Pittsburg, the Asian population stands at 18%, greater than 5% in Glen arm.
- Pittsburg has a higher percentage of Hispanic residents at 43%, compared to 3% in Glen arm.
- The percentage of residents identifying as two or more races is higher in Pittsburg at 14%, compared to 2% in Glen arm.
- In Pittsburg, the percentage of American Indian residents is higher at 1%, compared to 0% in Glen arm.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Glen arm | Pittsburg |
---|---|---|
Mental Health Not Good | Data is updating% | 15.8% |
Physical Health Not Good | Data is updating% | 11.8% |
Depression | Data is updating% | 16.7% |
Smoking | Data is updating% | 12.7% |
Binge Drinking | Data is updating% | 15.0% |
Obesity | Data is updating% | 28.4% |
Disability Percentage | Data is updating% | 13.0% |
Health Statistics Comparison: Glen arm vs Pittsburg
- In Pittsburg, a higher percentage report poor mental health at 15.8% compared to 0.0% in Glen arm.
- Higher depression rates are seen in Pittsburg at 16.7% versus 0.0% in Glen arm.
- Pittsburg has a higher smoking rate at 12.7% compared to 0.0% in Glen arm.
- More residents engage in binge drinking in Pittsburg at 15.0% compared to 0.0% in Glen arm.
- Pittsburg has higher obesity rates at 28.4% compared to 0.0% in Glen arm.
- There is a higher percentage of disabled individuals in Pittsburg at 13.0% compared to 0.0% in Glen arm.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Glen arm | Pittsburg |
---|---|---|
No Schooling | 0.0% (Data is updating) | 3.1% (2,439) |
High School Diploma | 0.0% (Data is updating) | 14.5% (11,263) |
Less than High School | 0.0% (Data is updating) | 23.3% (18,048) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 14.8% (11,476) |
Education Levels Comparison: Glen arm vs Pittsburg
- In Pittsburg, a larger percentage of residents lack formal schooling at 3.1% compared to 0.0% in Glen arm.
- In Pittsburg, the rate of residents with high school diplomas is higher at 14.5% compared to 0.0% in Glen arm.
- The percentage of residents with less than a high school education is higher in Pittsburg at 23.3%, compared to 0.0% in Glen arm.
- In Pittsburg, a larger share of residents have a bachelor's degree or higher at 14.8% compared to 0.0% in Glen arm.
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.