Demographics details for Glen arm, MD vs Birmingham, AL

Population Overview

Compare main population characteristics in Glen arm, MD vs Birmingham, AL.

Data Glen arm Birmingham
Population 1,952 196,910
Median Age 42.0 years 35.9 years
Median Income $114,000 $42,464
Married Families 500.0% 23.0%
Poverty Level 2% 19%
Unemployment Rate 3.5 3.6

Population Comparison: Glen arm vs Birmingham

  • The population in Birmingham is higher at 196,910, compared to 1,952 in Glen arm.
  • Residents in Glen arm have a higher median age of 42.0 years compared to 35.9 years in Birmingham.
  • Glen arm has a higher median income of $114,000 compared to $42,464 in Birmingham.
  • A higher percentage of married families is found in Glen arm at 500.0% compared to 23.0% in Birmingham.
  • The poverty level is higher in Birmingham at 19%, compared to 2% in Glen arm.
  • Birmingham has a higher unemployment rate at 3.6% compared to 3.5% in Glen arm.

Demographics

Demographics Glen arm vs Birmingham provide insight into the diversity of the communities to compare.

Demographic Glen arm Birmingham
Black 10 70
White 80 21
Asian 5 2
Hispanic 3 4
Two or More Races 2 3
American Indian Data is updating Data is updating

Demographics Comparison: Glen arm vs Birmingham

  • In Birmingham, the percentage of Black residents is higher at 70% compared to 10% in Glen arm.
  • Glen arm has a higher percentage of White residents at 80% compared to 21% in Birmingham.
  • The Asian population is larger in Glen arm at 5% compared to 2% in Birmingham.
  • Birmingham has a higher percentage of Hispanic residents at 4%, compared to 3% in Glen arm.
  • The percentage of residents identifying as two or more races is higher in Birmingham at 3%, compared to 2% in Glen arm.
  • The percentage of American Indian residents is the same in both Glen arm and Birmingham at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Glen arm Birmingham
Mental Health Not Good Data is updating% 19.8%
Physical Health Not Good Data is updating% 14.6%
Depression Data is updating% 21.2%
Smoking Data is updating% 21.1%
Binge Drinking Data is updating% 12.7%
Obesity Data is updating% 45.7%
Disability Percentage Data is updating% 19.0%

Health Statistics Comparison: Glen arm vs Birmingham

  • In Birmingham, a higher percentage report poor mental health at 19.8% compared to 0.0% in Glen arm.
  • Higher depression rates are seen in Birmingham at 21.2% versus 0.0% in Glen arm.
  • Birmingham has a higher smoking rate at 21.1% compared to 0.0% in Glen arm.
  • More residents engage in binge drinking in Birmingham at 12.7% compared to 0.0% in Glen arm.
  • Birmingham has higher obesity rates at 45.7% compared to 0.0% in Glen arm.
  • There is a higher percentage of disabled individuals in Birmingham at 19.0% 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 Birmingham
No Schooling 0.0% (Data is updating) 0.9% (1,793)
High School Diploma 0.0% (Data is updating) 17.5% (34,520)
Less than High School 0.0% (Data is updating) 10.1% (19,856)
Bachelor's Degree and Higher 0.0% (Data is updating) 20.6% (40,596)

Education Levels Comparison: Glen arm vs Birmingham

  • In Birmingham, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Glen arm.
  • In Birmingham, the rate of residents with high school diplomas is higher at 17.5% compared to 0.0% in Glen arm.
  • The percentage of residents with less than a high school education is higher in Birmingham at 10.1%, compared to 0.0% in Glen arm.
  • In Birmingham, a larger share of residents have a bachelor's degree or higher at 20.6% 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.