Demographics details for Deerfield beach, FL vs Topeka, KS

Population Overview

Compare main population characteristics in Deerfield beach, FL vs Topeka, KS.

Data Deerfield beach Topeka
Population 86,772 125,449
Median Age 43.5 years 37.9 years
Median Income $53,741 $54,052
Married Families 35.0% 34.0%
Poverty Level 12% 14%
Unemployment Rate 3.2 3.7

Population Comparison: Deerfield beach vs Topeka

  • The population in Topeka is higher at 125,449, compared to 86,772 in Deerfield beach.
  • Residents in Deerfield beach have a higher median age of 43.5 years compared to 37.9 years in Topeka.
  • Topeka has a higher median income of $54,052, compared to $53,741 in Deerfield beach.
  • A higher percentage of married families is found in Deerfield beach at 35.0% compared to 34.0% in Topeka.
  • The poverty level is higher in Topeka at 14%, compared to 12% in Deerfield beach.
  • Topeka has a higher unemployment rate at 3.7% compared to 3.2% in Deerfield beach.

Demographics

Demographics Deerfield beach vs Topeka provide insight into the diversity of the communities to compare.

Demographic Deerfield beach Topeka
Black 24 10
White 33 62
Asian 2 2
Hispanic 24 16
Two or More Races 17 9
American Indian Data is updating 1

Demographics Comparison: Deerfield beach vs Topeka

  • A higher percentage of Black residents are in Deerfield beach at 24% compared to 10% in Topeka.
  • The percentage of White residents is higher in Topeka at 62% compared to 33% in Deerfield beach.
  • Both Deerfield beach and Topeka have the same percentage of Asian residents at 2%.
  • The Hispanic community is larger in Deerfield beach at 24% compared to 16% in Topeka.
  • More residents identify as two or more races in Deerfield beach at 17% compared to 9% in Topeka.
  • In Topeka, the percentage of American Indian residents is higher at 1%, compared to 0% in Deerfield beach.

Health Statistics

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

Health Metric Deerfield beach Topeka
Mental Health Not Good 16.6% 18.3%
Physical Health Not Good 11.6% 11.3%
Depression 18.5% 25.5%
Smoking 19.8% 20.8%
Binge Drinking 15.1% 16.9%
Obesity 30.3% 41.0%
Disability Percentage 14.0% 15.0%

Health Statistics Comparison: Deerfield beach vs Topeka

  • In Topeka, a higher percentage report poor mental health at 18.3% compared to 16.6% in Deerfield beach.
  • Higher depression rates are seen in Topeka at 25.5% versus 18.5% in Deerfield beach.
  • Topeka has a higher smoking rate at 20.8% compared to 19.8% in Deerfield beach.
  • More residents engage in binge drinking in Topeka at 16.9% compared to 15.1% in Deerfield beach.
  • Topeka has higher obesity rates at 41.0% compared to 30.3% in Deerfield beach.
  • There is a higher percentage of disabled individuals in Topeka at 15.0% compared to 14.0% in Deerfield beach.

Education Levels

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

Education Level Deerfield beach Topeka
No Schooling 1.8% (1,563) 1.1% (1,326)
High School Diploma 18.7% (16,205) 17.2% (21,594)
Less than High School 18.3% (15,908) 10.9% (13,657)
Bachelor's Degree and Higher 20.3% (17,606) 19.3% (24,214)

Education Levels Comparison: Deerfield beach vs Topeka

  • A higher percentage of residents in Deerfield beach have no formal schooling at 1.8% compared to 1.1% in Topeka.
  • A higher percentage of residents in Deerfield beach hold a high school diploma at 18.7% compared to 17.2% in Topeka.
  • More residents in Deerfield beach have less than a high school education at 18.3% compared to 10.9% in Topeka.
  • A higher percentage of residents in Deerfield beach hold a bachelor's degree or higher at 20.3% compared to 19.3% in Topeka.

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.