Demographics details for Green bay, WI vs Forest city, NC

Population Overview

Compare main population characteristics in Green bay, WI vs Forest city, NC.

Data Green bay Forest city
Population 106,095 7,358
Median Age 35.6 years 32.8 years
Median Income $59,174 $35,232
Married Families 34.0% 21.0%
Poverty Level 10% 11%
Unemployment Rate 3.2 4.5

Population Comparison: Green bay vs Forest city

  • In Green bay, the population is higher at 106,095, compared to 7,358 in Forest city.
  • Residents in Green bay have a higher median age of 35.6 years compared to 32.8 years in Forest city.
  • Green bay has a higher median income of $59,174 compared to $35,232 in Forest city.
  • A higher percentage of married families is found in Green bay at 34.0% compared to 21.0% in Forest city.
  • The poverty level is higher in Forest city at 11%, compared to 10% in Green bay.
  • Forest city has a higher unemployment rate at 4.5% compared to 3.2% in Green bay.

Demographics

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

Demographic Green bay Forest city
Black 4 28
White 61 57
Asian 4 2
Hispanic 17 8
Two or More Races 11 5
American Indian 3 Data is updating

Demographics Comparison: Green bay vs Forest city

  • In Forest city, the percentage of Black residents is higher at 28% compared to 4% in Green bay.
  • Green bay has a higher percentage of White residents at 61% compared to 57% in Forest city.
  • The Asian population is larger in Green bay at 4% compared to 2% in Forest city.
  • The Hispanic community is larger in Green bay at 17% compared to 8% in Forest city.
  • More residents identify as two or more races in Green bay at 11% compared to 5% in Forest city.
  • A greater percentage of American Indian residents live in Green bay at 3% compared to 0% in Forest city.

Health Statistics

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

Health Metric Green bay Forest city
Mental Health Not Good 15.3% 19.0%
Physical Health Not Good 11.0% 14.4%
Depression 22.1% 24.4%
Smoking 16.8% 22.1%
Binge Drinking 22.8% 15.2%
Obesity 38.0% 41.2%
Disability Percentage 14.0% 23.0%

Health Statistics Comparison: Green bay vs Forest city

  • In Forest city, a higher percentage report poor mental health at 19.0% compared to 15.3% in Green bay.
  • Higher depression rates are seen in Forest city at 24.4% versus 22.1% in Green bay.
  • Forest city has a higher smoking rate at 22.1% compared to 16.8% in Green bay.
  • Binge drinking is more common in Green bay at 22.8% compared to 15.2% in Forest city.
  • Forest city has higher obesity rates at 41.2% compared to 38.0% in Green bay.
  • There is a higher percentage of disabled individuals in Forest city at 23.0% compared to 14.0% in Green bay.

Education Levels

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

Education Level Green bay Forest city
No Schooling 1.7% (1,796) 0.9% (63)
High School Diploma 18.1% (19,183) 15.5% (1,140)
Less than High School 14.0% (14,805) 13.0% (956)
Bachelor's Degree and Higher 16.6% (17,606) 10.7% (785)

Education Levels Comparison: Green bay vs Forest city

  • A higher percentage of residents in Green bay have no formal schooling at 1.7% compared to 0.9% in Forest city.
  • A higher percentage of residents in Green bay hold a high school diploma at 18.1% compared to 15.5% in Forest city.
  • More residents in Green bay have less than a high school education at 14.0% compared to 13.0% in Forest city.
  • A higher percentage of residents in Green bay hold a bachelor's degree or higher at 16.6% compared to 10.7% in Forest city.

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.