Demographics details for Beecher city, IL vs Wakita, OK

Population Overview

Compare main population characteristics in Beecher city, IL vs Wakita, OK.

Data Beecher city Wakita
Population 423 307
Median Age 36.9 years 35.5 years
Median Income $39,297 $34,375
Married Families 27.0% 32.0%
Poverty Level 14% 15%
Unemployment Rate 3.2 3.5

Population Comparison: Beecher city vs Wakita

  • In Beecher city, the population is higher at 423, compared to 307 in Wakita.
  • Residents in Beecher city have a higher median age of 36.9 years compared to 35.5 years in Wakita.
  • Beecher city has a higher median income of $39,297 compared to $34,375 in Wakita.
  • In Wakita, the percentage of married families is higher at 32.0%, compared to 27.0% in Beecher city.
  • The poverty level is higher in Wakita at 15%, compared to 14% in Beecher city.
  • Wakita has a higher unemployment rate at 3.5% compared to 3.2% in Beecher city.

Demographics

Demographics Beecher city vs Wakita provide insight into the diversity of the communities to compare.

Demographic Beecher city Wakita
Black Data is updating Data is updating
White 99 74
Asian Data is updating Data is updating
Hispanic Data is updating 20
Two or More Races 1 4
American Indian Data is updating 2

Demographics Comparison: Beecher city vs Wakita

  • The percentage of Black residents is the same in both Beecher city and Wakita at 0%.
  • Beecher city has a higher percentage of White residents at 99% compared to 74% in Wakita.
  • Both Beecher city and Wakita have the same percentage of Asian residents at 0%.
  • Wakita has a higher percentage of Hispanic residents at 20%, compared to 0% in Beecher city.
  • The percentage of residents identifying as two or more races is higher in Wakita at 4%, compared to 1% in Beecher city.
  • In Wakita, the percentage of American Indian residents is higher at 2%, compared to 0% in Beecher city.

Health Statistics

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

Health Metric Beecher city Wakita
Mental Health Not Good 15.2% 17.8%
Physical Health Not Good 9.6% 11.4%
Depression 21.4% 25.5%
Smoking 14.8% 17.8%
Binge Drinking 18.8% 15.8%
Obesity 34.0% 39.1%
Disability Percentage 13.0% 19.0%

Health Statistics Comparison: Beecher city vs Wakita

  • In Wakita, a higher percentage report poor mental health at 17.8% compared to 15.2% in Beecher city.
  • Higher depression rates are seen in Wakita at 25.5% versus 21.4% in Beecher city.
  • Wakita has a higher smoking rate at 17.8% compared to 14.8% in Beecher city.
  • Binge drinking is more common in Beecher city at 18.8% compared to 15.8% in Wakita.
  • Wakita has higher obesity rates at 39.1% compared to 34.0% in Beecher city.
  • There is a higher percentage of disabled individuals in Wakita at 19.0% compared to 13.0% in Beecher city.

Education Levels

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

Education Level Beecher city Wakita
No Schooling 0.7% (3) 0.0% (Data is updating)
High School Diploma 23.6% (100) 25.1% (77)
Less than High School 17.5% (74) 10.4% (32)
Bachelor's Degree and Higher 7.1% (30) 11.4% (35)

Education Levels Comparison: Beecher city vs Wakita

  • A higher percentage of residents in Beecher city have no formal schooling at 0.7% compared to 0.0% in Wakita.
  • In Wakita, the rate of residents with high school diplomas is higher at 25.1% compared to 23.6% in Beecher city.
  • More residents in Beecher city have less than a high school education at 17.5% compared to 10.4% in Wakita.
  • In Wakita, a larger share of residents have a bachelor's degree or higher at 11.4% compared to 7.1% in Beecher 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.