Demographics details for Forest city, NC vs Glen arm, MD

Population Overview

Compare main population characteristics in Forest city, NC vs Glen arm, MD.

Data Forest city Glen arm
Population 7,358 1,952
Median Age 32.8 years 42.0 years
Median Income $35,232 $114,000
Married Families 21.0% 500.0%
Poverty Level 11% 2%
Unemployment Rate 4.5 3.5

Population Comparison: Forest city vs Glen arm

  • In Forest city, the population is higher at 7,358, compared to 1,952 in Glen arm.
  • The median age in Glen arm is higher at 42.0 years, compared to 32.8 years in Forest city.
  • Glen arm has a higher median income of $114,000, compared to $35,232 in Forest city.
  • In Glen arm, the percentage of married families is higher at 500.0%, compared to 21.0% in Forest city.
  • Forest city has a higher poverty level at 11% compared to 2% in Glen arm.
  • The unemployment rate in Forest city is higher at 4.5%, compared to 3.5% in Glen arm.

Demographics

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

Demographic Forest city Glen arm
Black 28 10
White 57 80
Asian 2 5
Hispanic 8 3
Two or More Races 5 2
American Indian Data is updating Data is updating

Demographics Comparison: Forest city vs Glen arm

  • A higher percentage of Black residents are in Forest city at 28% compared to 10% in Glen arm.
  • The percentage of White residents is higher in Glen arm at 80% compared to 57% in Forest city.
  • In Glen arm, the Asian population stands at 5%, greater than 2% in Forest city.
  • The Hispanic community is larger in Forest city at 8% compared to 3% in Glen arm.
  • More residents identify as two or more races in Forest city at 5% compared to 2% in Glen arm.
  • The percentage of American Indian residents is the same in both Forest city and Glen arm at 0%.

Health Statistics

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

Health Metric Forest city Glen arm
Mental Health Not Good 19.0% Data is updating%
Physical Health Not Good 14.4% Data is updating%
Depression 24.4% Data is updating%
Smoking 22.1% Data is updating%
Binge Drinking 15.2% Data is updating%
Obesity 41.2% Data is updating%
Disability Percentage 23.0% Data is updating%

Health Statistics Comparison: Forest city vs Glen arm

  • More residents in Forest city report poor mental health at 19.0% compared to 0.0% in Glen arm.
  • Depression is more prevalent in Forest city at 24.4% compared to 0.0% in Glen arm.
  • Smoking is more prevalent in Forest city at 22.1% compared to 0.0% in Glen arm.
  • Binge drinking is more common in Forest city at 15.2% compared to 0.0% in Glen arm.
  • Obesity rates are higher in Forest city at 41.2% compared to 0.0% in Glen arm.
  • Disability percentages are higher in Forest city at 23.0% 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 Forest city Glen arm
No Schooling 0.9% (63) 0.0% (Data is updating)
High School Diploma 15.5% (1,140) 0.0% (Data is updating)
Less than High School 13.0% (956) 0.0% (Data is updating)
Bachelor's Degree and Higher 10.7% (785) 0.0% (Data is updating)

Education Levels Comparison: Forest city vs Glen arm

  • A higher percentage of residents in Forest city have no formal schooling at 0.9% compared to 0.0% in Glen arm.
  • A higher percentage of residents in Forest city hold a high school diploma at 15.5% compared to 0.0% in Glen arm.
  • More residents in Forest city have less than a high school education at 13.0% compared to 0.0% in Glen arm.
  • A higher percentage of residents in Forest city hold a bachelor's degree or higher at 10.7% 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.