Demographics details for Winona, MS vs Arlington heights, IL

Population Overview

Compare main population characteristics in Winona, MS vs Arlington heights, IL.

Data Winona Arlington heights
Population 4,159 75,195
Median Age 33.7 years 42.8 years
Median Income $26,250 $113,502
Married Families 21.0% 49.0%
Poverty Level 24% 5%
Unemployment Rate 3.6 5.1

Population Comparison: Winona vs Arlington heights

  • The population in Arlington heights is higher at 75,195, compared to 4,159 in Winona.
  • The median age in Arlington heights is higher at 42.8 years, compared to 33.7 years in Winona.
  • Arlington heights has a higher median income of $113,502, compared to $26,250 in Winona.
  • In Arlington heights, the percentage of married families is higher at 49.0%, compared to 21.0% in Winona.
  • Winona has a higher poverty level at 24% compared to 5% in Arlington heights.
  • Arlington heights has a higher unemployment rate at 5.1% compared to 3.6% in Winona.

Demographics

Demographics Winona vs Arlington heights provide insight into the diversity of the communities to compare.

Demographic Winona Arlington heights
Black 62 3
White 38 71
Asian Data is updating 11
Hispanic Data is updating 9
Two or More Races Data is updating 6
American Indian Data is updating Data is updating

Demographics Comparison: Winona vs Arlington heights

  • A higher percentage of Black residents are in Winona at 62% compared to 3% in Arlington heights.
  • The percentage of White residents is higher in Arlington heights at 71% compared to 38% in Winona.
  • In Arlington heights, the Asian population stands at 11%, greater than 0% in Winona.
  • Arlington heights has a higher percentage of Hispanic residents at 9%, compared to 0% in Winona.
  • The percentage of residents identifying as two or more races is higher in Arlington heights at 6%, compared to 0% in Winona.
  • The percentage of American Indian residents is the same in both Winona and Arlington heights at 0%.

Health Statistics

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

Health Metric Winona Arlington heights
Mental Health Not Good 19.3% 12.3%
Physical Health Not Good 15.0% 7.8%
Depression 22.3% 17.3%
Smoking 24.8% 10.1%
Binge Drinking 11.8% 20.0%
Obesity 46.4% 25.4%
Disability Percentage 25.0% 9.0%

Health Statistics Comparison: Winona vs Arlington heights

  • More residents in Winona report poor mental health at 19.3% compared to 12.3% in Arlington heights.
  • Depression is more prevalent in Winona at 22.3% compared to 17.3% in Arlington heights.
  • Smoking is more prevalent in Winona at 24.8% compared to 10.1% in Arlington heights.
  • More residents engage in binge drinking in Arlington heights at 20.0% compared to 11.8% in Winona.
  • Obesity rates are higher in Winona at 46.4% compared to 25.4% in Arlington heights.
  • Disability percentages are higher in Winona at 25.0% compared to 9.0% in Arlington heights.

Education Levels

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

Education Level Winona Arlington heights
No Schooling 2.1% (87) 0.4% (329)
High School Diploma 11.4% (473) 10.5% (7,880)
Less than High School 28.5% (1,186) 5.0% (3,740)
Bachelor's Degree and Higher 9.3% (388) 44.1% (33,171)

Education Levels Comparison: Winona vs Arlington heights

  • A higher percentage of residents in Winona have no formal schooling at 2.1% compared to 0.4% in Arlington heights.
  • A higher percentage of residents in Winona hold a high school diploma at 11.4% compared to 10.5% in Arlington heights.
  • More residents in Winona have less than a high school education at 28.5% compared to 5.0% in Arlington heights.
  • In Arlington heights, a larger share of residents have a bachelor's degree or higher at 44.1% compared to 9.3% in Winona.

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.