Demographics details for Topeka, KS vs Glen arm, MD
Population Overview
Compare main population characteristics in Topeka, KS vs Glen arm, MD.
Data | Topeka | Glen arm |
---|---|---|
Population | 125,449 | 1,952 |
Median Age | 37.9 years | 42.0 years |
Median Income | $54,052 | $114,000 |
Married Families | 34.0% | 500.0% |
Poverty Level | 14% | 2% |
Unemployment Rate | 3.7 | 3.5 |
Population Comparison: Topeka vs Glen arm
- In Topeka, the population is higher at 125,449, compared to 1,952 in Glen arm.
- The median age in Glen arm is higher at 42.0 years, compared to 37.9 years in Topeka.
- Glen arm has a higher median income of $114,000, compared to $54,052 in Topeka.
- In Glen arm, the percentage of married families is higher at 500.0%, compared to 34.0% in Topeka.
- Topeka has a higher poverty level at 14% compared to 2% in Glen arm.
- The unemployment rate in Topeka is higher at 3.7%, compared to 3.5% in Glen arm.
Demographics
Demographics Topeka vs Glen arm provide insight into the diversity of the communities to compare.
Demographic | Topeka | Glen arm |
---|---|---|
Black | 10 | 10 |
White | 62 | 80 |
Asian | 2 | 5 |
Hispanic | 16 | 3 |
Two or More Races | 9 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Topeka vs Glen arm
- The percentage of Black residents is the same in both Topeka and Glen arm at 10%.
- The percentage of White residents is higher in Glen arm at 80% compared to 62% in Topeka.
- In Glen arm, the Asian population stands at 5%, greater than 2% in Topeka.
- The Hispanic community is larger in Topeka at 16% compared to 3% in Glen arm.
- More residents identify as two or more races in Topeka at 9% compared to 2% in Glen arm.
- A greater percentage of American Indian residents live in Topeka at 1% compared to 0% in Glen arm.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Topeka | Glen arm |
---|---|---|
Mental Health Not Good | 18.3% | Data is updating% |
Physical Health Not Good | 11.3% | Data is updating% |
Depression | 25.5% | Data is updating% |
Smoking | 20.8% | Data is updating% |
Binge Drinking | 16.9% | Data is updating% |
Obesity | 41.0% | Data is updating% |
Disability Percentage | 15.0% | Data is updating% |
Health Statistics Comparison: Topeka vs Glen arm
- More residents in Topeka report poor mental health at 18.3% compared to 0.0% in Glen arm.
- Depression is more prevalent in Topeka at 25.5% compared to 0.0% in Glen arm.
- Smoking is more prevalent in Topeka at 20.8% compared to 0.0% in Glen arm.
- Binge drinking is more common in Topeka at 16.9% compared to 0.0% in Glen arm.
- Obesity rates are higher in Topeka at 41.0% compared to 0.0% in Glen arm.
- Disability percentages are higher in Topeka at 15.0% 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 | Topeka | Glen arm |
---|---|---|
No Schooling | 1.1% (1,326) | 0.0% (Data is updating) |
High School Diploma | 17.2% (21,594) | 0.0% (Data is updating) |
Less than High School | 10.9% (13,657) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 19.3% (24,214) | 0.0% (Data is updating) |
Education Levels Comparison: Topeka vs Glen arm
- A higher percentage of residents in Topeka have no formal schooling at 1.1% compared to 0.0% in Glen arm.
- A higher percentage of residents in Topeka hold a high school diploma at 17.2% compared to 0.0% in Glen arm.
- More residents in Topeka have less than a high school education at 10.9% compared to 0.0% in Glen arm.
- A higher percentage of residents in Topeka hold a bachelor's degree or higher at 19.3% 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.