Demographics details for Glen arm, MD vs South pasadena, CA

Population Overview

Compare main population characteristics in Glen arm, MD vs South pasadena, CA.

Data Glen arm South pasadena
Population 1,952 25,850
Median Age 42.0 years 40.6 years
Median Income $114,000 $127,882
Married Families 500.0% 45.0%
Poverty Level 2% 8%
Unemployment Rate 3.5 5.1

Population Comparison: Glen arm vs South pasadena

  • The population in South pasadena is higher at 25,850, compared to 1,952 in Glen arm.
  • Residents in Glen arm have a higher median age of 42.0 years compared to 40.6 years in South pasadena.
  • South pasadena has a higher median income of $127,882, compared to $114,000 in Glen arm.
  • A higher percentage of married families is found in Glen arm at 500.0% compared to 45.0% in South pasadena.
  • The poverty level is higher in South pasadena at 8%, compared to 2% in Glen arm.
  • South pasadena has a higher unemployment rate at 5.1% compared to 3.5% in Glen arm.

Demographics

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

Demographic Glen arm South pasadena
Black 10 4
White 80 31
Asian 5 34
Hispanic 3 19
Two or More Races 2 12
American Indian Data is updating Data is updating

Demographics Comparison: Glen arm vs South pasadena

  • A higher percentage of Black residents are in Glen arm at 10% compared to 4% in South pasadena.
  • Glen arm has a higher percentage of White residents at 80% compared to 31% in South pasadena.
  • In South pasadena, the Asian population stands at 34%, greater than 5% in Glen arm.
  • South pasadena has a higher percentage of Hispanic residents at 19%, compared to 3% in Glen arm.
  • The percentage of residents identifying as two or more races is higher in South pasadena at 12%, compared to 2% in Glen arm.
  • The percentage of American Indian residents is the same in both Glen arm and South pasadena at 0%.

Health Statistics

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

Health Metric Glen arm South pasadena
Mental Health Not Good Data is updating% 11.9%
Physical Health Not Good Data is updating% 7.1%
Depression Data is updating% 13.8%
Smoking Data is updating% 6.3%
Binge Drinking Data is updating% 15.3%
Obesity Data is updating% 20.9%
Disability Percentage Data is updating% 7.0%

Health Statistics Comparison: Glen arm vs South pasadena

  • In South pasadena, a higher percentage report poor mental health at 11.9% compared to 0.0% in Glen arm.
  • Higher depression rates are seen in South pasadena at 13.8% versus 0.0% in Glen arm.
  • South pasadena has a higher smoking rate at 6.3% compared to 0.0% in Glen arm.
  • More residents engage in binge drinking in South pasadena at 15.3% compared to 0.0% in Glen arm.
  • South pasadena has higher obesity rates at 20.9% compared to 0.0% in Glen arm.
  • There is a higher percentage of disabled individuals in South pasadena at 7.0% 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 South pasadena
No Schooling 0.0% (Data is updating) 0.7% (177)
High School Diploma 0.0% (Data is updating) 4.3% (1,111)
Less than High School 0.0% (Data is updating) 3.0% (766)
Bachelor's Degree and Higher 0.0% (Data is updating) 53.2% (13,751)

Education Levels Comparison: Glen arm vs South pasadena

  • In South pasadena, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Glen arm.
  • In South pasadena, the rate of residents with high school diplomas is higher at 4.3% compared to 0.0% in Glen arm.
  • The percentage of residents with less than a high school education is higher in South pasadena at 3.0%, compared to 0.0% in Glen arm.
  • In South pasadena, a larger share of residents have a bachelor's degree or higher at 53.2% 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.