Demographics details for Marshall, MI vs Deerfield beach, FL

Population Overview

Compare main population characteristics in Marshall, MI vs Deerfield beach, FL.

Data Marshall Deerfield beach
Population 6,753 86,772
Median Age 45.4 years 43.5 years
Median Income $72,813 $53,741
Married Families 43.0% 35.0%
Poverty Level 9% 12%
Unemployment Rate 4.2 3.2

Population Comparison: Marshall vs Deerfield beach

  • The population in Deerfield beach is higher at 86,772, compared to 6,753 in Marshall.
  • Residents in Marshall have a higher median age of 45.4 years compared to 43.5 years in Deerfield beach.
  • Marshall has a higher median income of $72,813 compared to $53,741 in Deerfield beach.
  • A higher percentage of married families is found in Marshall at 43.0% compared to 35.0% in Deerfield beach.
  • The poverty level is higher in Deerfield beach at 12%, compared to 9% in Marshall.
  • The unemployment rate in Marshall is higher at 4.2%, compared to 3.2% in Deerfield beach.

Demographics

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

Demographic Marshall Deerfield beach
Black Data is updating 24
White 94 33
Asian Data is updating 2
Hispanic 4 24
Two or More Races 2 17
American Indian Data is updating Data is updating

Demographics Comparison: Marshall vs Deerfield beach

  • In Deerfield beach, the percentage of Black residents is higher at 24% compared to 0% in Marshall.
  • Marshall has a higher percentage of White residents at 94% compared to 33% in Deerfield beach.
  • In Deerfield beach, the Asian population stands at 2%, greater than 0% in Marshall.
  • Deerfield beach has a higher percentage of Hispanic residents at 24%, compared to 4% in Marshall.
  • The percentage of residents identifying as two or more races is higher in Deerfield beach at 17%, compared to 2% in Marshall.
  • The percentage of American Indian residents is the same in both Marshall and Deerfield beach at 0%.

Health Statistics

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

Health Metric Marshall Deerfield beach
Mental Health Not Good 17.0% 16.6%
Physical Health Not Good 10.6% 11.6%
Depression 25.2% 18.5%
Smoking 17.3% 19.8%
Binge Drinking 18.0% 15.1%
Obesity 37.5% 30.3%
Disability Percentage 11.0% 14.0%

Health Statistics Comparison: Marshall vs Deerfield beach

  • More residents in Marshall report poor mental health at 17.0% compared to 16.6% in Deerfield beach.
  • Depression is more prevalent in Marshall at 25.2% compared to 18.5% in Deerfield beach.
  • Deerfield beach has a higher smoking rate at 19.8% compared to 17.3% in Marshall.
  • Binge drinking is more common in Marshall at 18.0% compared to 15.1% in Deerfield beach.
  • Obesity rates are higher in Marshall at 37.5% compared to 30.3% in Deerfield beach.
  • There is a higher percentage of disabled individuals in Deerfield beach at 14.0% compared to 11.0% in Marshall.

Education Levels

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

Education Level Marshall Deerfield beach
No Schooling 0.7% (46) 1.8% (1,563)
High School Diploma 15.8% (1,067) 18.7% (16,205)
Less than High School 7.3% (493) 18.3% (15,908)
Bachelor's Degree and Higher 33.1% (2,233) 20.3% (17,606)

Education Levels Comparison: Marshall vs Deerfield beach

  • In Deerfield beach, a larger percentage of residents lack formal schooling at 1.8% compared to 0.7% in Marshall.
  • In Deerfield beach, the rate of residents with high school diplomas is higher at 18.7% compared to 15.8% in Marshall.
  • The percentage of residents with less than a high school education is higher in Deerfield beach at 18.3%, compared to 7.3% in Marshall.
  • A higher percentage of residents in Marshall hold a bachelor's degree or higher at 33.1% compared to 20.3% in Deerfield beach.

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.