Demographics details for Deerfield beach, FL vs Tuscumbia, MO

Population Overview

Compare main population characteristics in Deerfield beach, FL vs Tuscumbia, MO.

Data Deerfield beach Tuscumbia
Population 86,772 190
Median Age 43.5 years 40.4 years
Median Income $53,741 $44,375
Married Families 35.0% 21.0%
Poverty Level 12% 10%
Unemployment Rate 3.2 3.5

Population Comparison: Deerfield beach vs Tuscumbia

  • In Deerfield beach, the population is higher at 86,772, compared to 190 in Tuscumbia.
  • Residents in Deerfield beach have a higher median age of 43.5 years compared to 40.4 years in Tuscumbia.
  • Deerfield beach has a higher median income of $53,741 compared to $44,375 in Tuscumbia.
  • A higher percentage of married families is found in Deerfield beach at 35.0% compared to 21.0% in Tuscumbia.
  • Deerfield beach has a higher poverty level at 12% compared to 10% in Tuscumbia.
  • Tuscumbia has a higher unemployment rate at 3.5% compared to 3.2% in Deerfield beach.

Demographics

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

Demographic Deerfield beach Tuscumbia
Black 24 17
White 33 78
Asian 2 2
Hispanic 24 3
Two or More Races 17 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Deerfield beach vs Tuscumbia

  • A higher percentage of Black residents are in Deerfield beach at 24% compared to 17% in Tuscumbia.
  • The percentage of White residents is higher in Tuscumbia at 78% compared to 33% in Deerfield beach.
  • Both Deerfield beach and Tuscumbia have the same percentage of Asian residents at 2%.
  • The Hispanic community is larger in Deerfield beach at 24% compared to 3% in Tuscumbia.
  • More residents identify as two or more races in Deerfield beach at 17% compared to 0% in Tuscumbia.
  • The percentage of American Indian residents is the same in both Deerfield beach and Tuscumbia at 0%.

Health Statistics

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

Health Metric Deerfield beach Tuscumbia
Mental Health Not Good 16.6% 17.2%
Physical Health Not Good 11.6% 13.1%
Depression 18.5% 22.2%
Smoking 19.8% 22.5%
Binge Drinking 15.1% 19.5%
Obesity 30.3% 40.0%
Disability Percentage 14.0% 9.0%

Health Statistics Comparison: Deerfield beach vs Tuscumbia

  • In Tuscumbia, a higher percentage report poor mental health at 17.2% compared to 16.6% in Deerfield beach.
  • Higher depression rates are seen in Tuscumbia at 22.2% versus 18.5% in Deerfield beach.
  • Tuscumbia has a higher smoking rate at 22.5% compared to 19.8% in Deerfield beach.
  • More residents engage in binge drinking in Tuscumbia at 19.5% compared to 15.1% in Deerfield beach.
  • Tuscumbia has higher obesity rates at 40.0% compared to 30.3% in Deerfield beach.
  • Disability percentages are higher in Deerfield beach at 14.0% compared to 9.0% in Tuscumbia.

Education Levels

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

Education Level Deerfield beach Tuscumbia
No Schooling 1.8% (1,563) 0.0% (Data is updating)
High School Diploma 18.7% (16,205) 17.4% (33)
Less than High School 18.3% (15,908) 18.9% (36)
Bachelor's Degree and Higher 20.3% (17,606) 4.7% (9)

Education Levels Comparison: Deerfield beach vs Tuscumbia

  • A higher percentage of residents in Deerfield beach have no formal schooling at 1.8% compared to 0.0% in Tuscumbia.
  • A higher percentage of residents in Deerfield beach hold a high school diploma at 18.7% compared to 17.4% in Tuscumbia.
  • The percentage of residents with less than a high school education is higher in Tuscumbia at 18.9%, compared to 18.3% in Deerfield beach.
  • A higher percentage of residents in Deerfield beach hold a bachelor's degree or higher at 20.3% compared to 4.7% in Tuscumbia.

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.