Demographics details for Floodwood, MN vs Powder springs, GA

Population Overview

Compare main population characteristics in Floodwood, MN vs Powder springs, GA.

Data Floodwood Powder springs
Population 516 17,337
Median Age 44.8 years 38.7 years
Median Income $34,583 $88,311
Married Families 22.0% 36.0%
Poverty Level 13% 12%
Unemployment Rate 3.8 3.5

Population Comparison: Floodwood vs Powder springs

  • The population in Powder springs is higher at 17,337, compared to 516 in Floodwood.
  • Residents in Floodwood have a higher median age of 44.8 years compared to 38.7 years in Powder springs.
  • Powder springs has a higher median income of $88,311, compared to $34,583 in Floodwood.
  • In Powder springs, the percentage of married families is higher at 36.0%, compared to 22.0% in Floodwood.
  • Floodwood has a higher poverty level at 13% compared to 12% in Powder springs.
  • The unemployment rate in Floodwood is higher at 3.8%, compared to 3.5% in Powder springs.

Demographics

Demographics Floodwood vs Powder springs provide insight into the diversity of the communities to compare.

Demographic Floodwood Powder springs
Black Data is updating 51
White 95 22
Asian Data is updating 2
Hispanic 1 19
Two or More Races 4 5
American Indian Data is updating 1

Demographics Comparison: Floodwood vs Powder springs

  • In Powder springs, the percentage of Black residents is higher at 51% compared to 0% in Floodwood.
  • Floodwood has a higher percentage of White residents at 95% compared to 22% in Powder springs.
  • In Powder springs, the Asian population stands at 2%, greater than 0% in Floodwood.
  • Powder springs has a higher percentage of Hispanic residents at 19%, compared to 1% in Floodwood.
  • The percentage of residents identifying as two or more races is higher in Powder springs at 5%, compared to 4% in Floodwood.
  • In Powder springs, the percentage of American Indian residents is higher at 1%, compared to 0% in Floodwood.

Health Statistics

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

Health Metric Floodwood Powder springs
Mental Health Not Good 17.8% 15.0%
Physical Health Not Good 10.9% 10.7%
Depression 25.0% 17.7%
Smoking 22.3% 14.4%
Binge Drinking 20.7% 14.4%
Obesity 36.3% 33.0%
Disability Percentage 22.0% 11.0%

Health Statistics Comparison: Floodwood vs Powder springs

  • More residents in Floodwood report poor mental health at 17.8% compared to 15.0% in Powder springs.
  • Depression is more prevalent in Floodwood at 25.0% compared to 17.7% in Powder springs.
  • Smoking is more prevalent in Floodwood at 22.3% compared to 14.4% in Powder springs.
  • Binge drinking is more common in Floodwood at 20.7% compared to 14.4% in Powder springs.
  • Obesity rates are higher in Floodwood at 36.3% compared to 33.0% in Powder springs.
  • Disability percentages are higher in Floodwood at 22.0% compared to 11.0% in Powder springs.

Education Levels

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

Education Level Floodwood Powder springs
No Schooling 0.8% (4) 1.3% (225)
High School Diploma 22.1% (114) 15.0% (2,598)
Less than High School 8.5% (44) 7.6% (1,309)
Bachelor's Degree and Higher 3.7% (19) 26.3% (4,561)

Education Levels Comparison: Floodwood vs Powder springs

  • In Powder springs, a larger percentage of residents lack formal schooling at 1.3% compared to 0.8% in Floodwood.
  • A higher percentage of residents in Floodwood hold a high school diploma at 22.1% compared to 15.0% in Powder springs.
  • More residents in Floodwood have less than a high school education at 8.5% compared to 7.6% in Powder springs.
  • In Powder springs, a larger share of residents have a bachelor's degree or higher at 26.3% compared to 3.7% in Floodwood.

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.