Demographics details for Norfolk, VA vs Glen arm, MD
Population Overview
Compare main population characteristics in Norfolk, VA vs Glen arm, MD.
Data | Norfolk | Glen arm |
---|---|---|
Population | 232,995 | 1,952 |
Median Age | 32.2 years | 42.0 years |
Median Income | $60,998 | $114,000 |
Married Families | 30.0% | 500.0% |
Poverty Level | 11% | 2% |
Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Norfolk vs Glen arm
- In Norfolk, the population is higher at 232,995, compared to 1,952 in Glen arm.
- The median age in Glen arm is higher at 42.0 years, compared to 32.2 years in Norfolk.
- Glen arm has a higher median income of $114,000, compared to $60,998 in Norfolk.
- In Glen arm, the percentage of married families is higher at 500.0%, compared to 30.0% in Norfolk.
- Norfolk has a higher poverty level at 11% compared to 2% in Glen arm.
- Glen arm has a higher unemployment rate at 3.5% compared to 3.4% in Norfolk.
Demographics
Demographics Norfolk vs Glen arm provide insight into the diversity of the communities to compare.
Demographic | Norfolk | Glen arm |
---|---|---|
Black | 41 | 10 |
White | 39 | 80 |
Asian | 4 | 5 |
Hispanic | 9 | 3 |
Two or More Races | 7 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Norfolk vs Glen arm
- A higher percentage of Black residents are in Norfolk at 41% compared to 10% in Glen arm.
- The percentage of White residents is higher in Glen arm at 80% compared to 39% in Norfolk.
- In Glen arm, the Asian population stands at 5%, greater than 4% in Norfolk.
- The Hispanic community is larger in Norfolk at 9% compared to 3% in Glen arm.
- More residents identify as two or more races in Norfolk at 7% compared to 2% in Glen arm.
- The percentage of American Indian residents is the same in both Norfolk and Glen arm at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Norfolk | Glen arm |
---|---|---|
Mental Health Not Good | 17.1% | Data is updating% |
Physical Health Not Good | 12.1% | Data is updating% |
Depression | 20.8% | Data is updating% |
Smoking | 18.9% | Data is updating% |
Binge Drinking | 17.5% | Data is updating% |
Obesity | 42.9% | Data is updating% |
Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Norfolk vs Glen arm
- More residents in Norfolk report poor mental health at 17.1% compared to 0.0% in Glen arm.
- Depression is more prevalent in Norfolk at 20.8% compared to 0.0% in Glen arm.
- Smoking is more prevalent in Norfolk at 18.9% compared to 0.0% in Glen arm.
- Binge drinking is more common in Norfolk at 17.5% compared to 0.0% in Glen arm.
- Obesity rates are higher in Norfolk at 42.9% compared to 0.0% in Glen arm.
- Disability percentages are higher in Norfolk 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 | Norfolk | Glen arm |
---|---|---|
No Schooling | 1.0% (2,387) | 0.0% (Data is updating) |
High School Diploma | 12.9% (30,020) | 0.0% (Data is updating) |
Less than High School | 9.5% (22,233) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 21.0% (48,995) | 0.0% (Data is updating) |
Education Levels Comparison: Norfolk vs Glen arm
- A higher percentage of residents in Norfolk have no formal schooling at 1.0% compared to 0.0% in Glen arm.
- A higher percentage of residents in Norfolk hold a high school diploma at 12.9% compared to 0.0% in Glen arm.
- More residents in Norfolk have less than a high school education at 9.5% compared to 0.0% in Glen arm.
- A higher percentage of residents in Norfolk hold a bachelor's degree or higher at 21.0% 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.