Demographics details for Canton, GA vs Fort leonard wood, MO

Population Overview

Compare main population characteristics in Canton, GA vs Fort leonard wood, MO.

Data Canton Fort leonard wood
Population 35,809 15,615
Median Age 34.6 years 20.6 years
Median Income $75,414 $64,890
Married Families 39.0% 25.0%
Poverty Level 9% Data is updating
Unemployment Rate 3.2 3.1

Population Comparison: Canton vs Fort leonard wood

  • In Canton, the population is higher at 35,809, compared to 15,615 in Fort leonard wood.
  • Residents in Canton have a higher median age of 34.6 years compared to 20.6 years in Fort leonard wood.
  • Canton has a higher median income of $75,414 compared to $64,890 in Fort leonard wood.
  • A higher percentage of married families is found in Canton at 39.0% compared to 25.0% in Fort leonard wood.
  • Canton has a higher poverty level at 9% compared to 0% in Fort leonard wood.
  • The unemployment rate in Canton is higher at 3.2%, compared to 3.1% in Fort leonard wood.

Demographics

Demographics Canton vs Fort leonard wood provide insight into the diversity of the communities to compare.

Demographic Canton Fort leonard wood
Black 12 18
White 55 35
Asian 1 4
Hispanic 21 24
Two or More Races 8 18
American Indian 3 1

Demographics Comparison: Canton vs Fort leonard wood

  • In Fort leonard wood, the percentage of Black residents is higher at 18% compared to 12% in Canton.
  • Canton has a higher percentage of White residents at 55% compared to 35% in Fort leonard wood.
  • In Fort leonard wood, the Asian population stands at 4%, greater than 1% in Canton.
  • Fort leonard wood has a higher percentage of Hispanic residents at 24%, compared to 21% in Canton.
  • The percentage of residents identifying as two or more races is higher in Fort leonard wood at 18%, compared to 8% in Canton.
  • A greater percentage of American Indian residents live in Canton at 3% compared to 1% in Fort leonard wood.

Health Statistics

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

Health Metric Canton Fort leonard wood
Mental Health Not Good 15.8% 21.1%
Physical Health Not Good 11.9% 6.6%
Depression 21.8% 24.0%
Smoking 16.0% 12.8%
Binge Drinking 15.8% 25.4%
Obesity 33.4% 30.7%
Disability Percentage 10.0% 2.0%

Health Statistics Comparison: Canton vs Fort leonard wood

  • In Fort leonard wood, a higher percentage report poor mental health at 21.1% compared to 15.8% in Canton.
  • Higher depression rates are seen in Fort leonard wood at 24.0% versus 21.8% in Canton.
  • Smoking is more prevalent in Canton at 16.0% compared to 12.8% in Fort leonard wood.
  • More residents engage in binge drinking in Fort leonard wood at 25.4% compared to 15.8% in Canton.
  • Obesity rates are higher in Canton at 33.4% compared to 30.7% in Fort leonard wood.
  • Disability percentages are higher in Canton at 10.0% compared to 2.0% in Fort leonard wood.

Education Levels

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

Education Level Canton Fort leonard wood
No Schooling 3.5% (1,250) 0.2% (38)
High School Diploma 10.1% (3,609) 4.5% (700)
Less than High School 18.0% (6,437) 0.8% (119)
Bachelor's Degree and Higher 19.7% (7,056) 9.3% (1,457)

Education Levels Comparison: Canton vs Fort leonard wood

  • A higher percentage of residents in Canton have no formal schooling at 3.5% compared to 0.2% in Fort leonard wood.
  • A higher percentage of residents in Canton hold a high school diploma at 10.1% compared to 4.5% in Fort leonard wood.
  • More residents in Canton have less than a high school education at 18.0% compared to 0.8% in Fort leonard wood.
  • A higher percentage of residents in Canton hold a bachelor's degree or higher at 19.7% compared to 9.3% in Fort leonard wood.

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.