Demographics details for Glencoe, CA vs Forest city, NC

Population Overview

Compare main population characteristics in Glencoe, CA vs Forest city, NC.

Data Glencoe Forest city
Population 192 7,358
Median Age 48.0 years 32.8 years
Median Income $90,000 $35,232
Married Families 50.0% 21.0%
Poverty Level Data is updating 11%
Unemployment Rate 4.0 4.5

Population Comparison: Glencoe vs Forest city

  • The population in Forest city is higher at 7,358, compared to 192 in Glencoe.
  • Residents in Glencoe have a higher median age of 48.0 years compared to 32.8 years in Forest city.
  • Glencoe has a higher median income of $90,000 compared to $35,232 in Forest city.
  • A higher percentage of married families is found in Glencoe at 50.0% compared to 21.0% in Forest city.
  • The poverty level is higher in Forest city at 11%, compared to 0% in Glencoe.
  • Forest city has a higher unemployment rate at 4.5% compared to 4.0% in Glencoe.

Demographics

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

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

Demographics Comparison: Glencoe vs Forest city

  • In Forest city, the percentage of Black residents is higher at 28% compared to 0% in Glencoe.
  • Glencoe has a higher percentage of White residents at 80% compared to 57% in Forest city.
  • The Asian population is larger in Glencoe at 10% compared to 2% in Forest city.
  • Forest city has a higher percentage of Hispanic residents at 8%, compared to 5% in Glencoe.
  • Both Glencoe and Forest city have the same percentage of residents identifying as two or more races at 5%.
  • The percentage of American Indian residents is the same in both Glencoe and Forest city at 0%.

Health Statistics

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

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

Health Statistics Comparison: Glencoe vs Forest city

  • In Forest city, a higher percentage report poor mental health at 19.0% compared to 0.0% in Glencoe.
  • Higher depression rates are seen in Forest city at 24.4% versus 0.0% in Glencoe.
  • Forest city has a higher smoking rate at 22.1% compared to 0.0% in Glencoe.
  • More residents engage in binge drinking in Forest city at 15.2% compared to 0.0% in Glencoe.
  • Forest city has higher obesity rates at 41.2% compared to 0.0% in Glencoe.
  • There is a higher percentage of disabled individuals in Forest city at 23.0% compared to 0.0% in Glencoe.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Glencoe Forest city
No Schooling 0.0% (Data is updating) 0.9% (63)
High School Diploma 0.0% (Data is updating) 15.5% (1,140)
Less than High School 0.0% (Data is updating) 13.0% (956)
Bachelor's Degree and Higher 0.0% (Data is updating) 10.7% (785)

Education Levels Comparison: Glencoe vs Forest city

  • In Forest city, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Glencoe.
  • In Forest city, the rate of residents with high school diplomas is higher at 15.5% compared to 0.0% in Glencoe.
  • The percentage of residents with less than a high school education is higher in Forest city at 13.0%, compared to 0.0% in Glencoe.
  • In Forest city, a larger share of residents have a bachelor's degree or higher at 10.7% compared to 0.0% in Glencoe.

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.