Demographics details for De queen, AR vs Prairie farm, WI

Population Overview

Compare main population characteristics in De queen, AR vs Prairie farm, WI.

Data De queen Prairie farm
Population 6,042 498
Median Age 33.0 years 47.9 years
Median Income $55,207 $55,192
Married Families 35.0% 45.0%
Poverty Level 24% 10%
Unemployment Rate 4.8 3.5

Population Comparison: De queen vs Prairie farm

  • In De queen, the population is higher at 6,042, compared to 498 in Prairie farm.
  • The median age in Prairie farm is higher at 47.9 years, compared to 33.0 years in De queen.
  • De queen has a higher median income of $55,207 compared to $55,192 in Prairie farm.
  • In Prairie farm, the percentage of married families is higher at 45.0%, compared to 35.0% in De queen.
  • De queen has a higher poverty level at 24% compared to 10% in Prairie farm.
  • The unemployment rate in De queen is higher at 4.8%, compared to 3.5% in Prairie farm.

Demographics

Demographics De queen vs Prairie farm provide insight into the diversity of the communities to compare.

Demographic De queen Prairie farm
Black 6 Data is updating
White 28 96
Asian Data is updating Data is updating
Hispanic 60 2
Two or More Races 5 1
American Indian 1 1

Demographics Comparison: De queen vs Prairie farm

  • A higher percentage of Black residents are in De queen at 6% compared to 0% in Prairie farm.
  • The percentage of White residents is higher in Prairie farm at 96% compared to 28% in De queen.
  • Both De queen and Prairie farm have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in De queen at 60% compared to 2% in Prairie farm.
  • More residents identify as two or more races in De queen at 5% compared to 1% in Prairie farm.
  • The percentage of American Indian residents is the same in both De queen and Prairie farm at 1%.

Health Statistics

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

Health Metric De queen Prairie farm
Mental Health Not Good 20.2% 16.0%
Physical Health Not Good 17.2% 10.8%
Depression 24.7% 24.2%
Smoking 24.0% 18.3%
Binge Drinking 12.9% 24.1%
Obesity 44.1% 35.7%
Disability Percentage 12.0% 15.0%

Health Statistics Comparison: De queen vs Prairie farm

  • More residents in De queen report poor mental health at 20.2% compared to 16.0% in Prairie farm.
  • Depression is more prevalent in De queen at 24.7% compared to 24.2% in Prairie farm.
  • Smoking is more prevalent in De queen at 24.0% compared to 18.3% in Prairie farm.
  • More residents engage in binge drinking in Prairie farm at 24.1% compared to 12.9% in De queen.
  • Obesity rates are higher in De queen at 44.1% compared to 35.7% in Prairie farm.
  • There is a higher percentage of disabled individuals in Prairie farm at 15.0% compared to 12.0% in De queen.

Education Levels

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

Education Level De queen Prairie farm
No Schooling 1.8% (108) 0.2% (1)
High School Diploma 15.0% (905) 32.3% (161)
Less than High School 46.5% (2,809) 11.6% (58)
Bachelor's Degree and Higher 7.0% (421) 6.8% (34)

Education Levels Comparison: De queen vs Prairie farm

  • A higher percentage of residents in De queen have no formal schooling at 1.8% compared to 0.2% in Prairie farm.
  • In Prairie farm, the rate of residents with high school diplomas is higher at 32.3% compared to 15.0% in De queen.
  • More residents in De queen have less than a high school education at 46.5% compared to 11.6% in Prairie farm.
  • A higher percentage of residents in De queen hold a bachelor's degree or higher at 7.0% compared to 6.8% in Prairie farm.

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.