Demographics details for Lexington, NE vs Deerfield beach, FL

Population Overview

Compare main population characteristics in Lexington, NE vs Deerfield beach, FL.

Data Lexington Deerfield beach
Population 10,725 86,772
Median Age 30.0 years 43.5 years
Median Income $63,939 $53,741
Married Families 35.0% 35.0%
Poverty Level 9% 12%
Unemployment Rate 3.5 3.2

Population Comparison: Lexington vs Deerfield beach

  • The population in Deerfield beach is higher at 86,772, compared to 10,725 in Lexington.
  • The median age in Deerfield beach is higher at 43.5 years, compared to 30.0 years in Lexington.
  • Lexington has a higher median income of $63,939 compared to $53,741 in Deerfield beach.
  • The percentage of married families is the same in both Lexington and Deerfield beach at 35.0%.
  • The poverty level is higher in Deerfield beach at 12%, compared to 9% in Lexington.
  • The unemployment rate in Lexington is higher at 3.5%, compared to 3.2% in Deerfield beach.

Demographics

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

Demographic Lexington Deerfield beach
Black 15 24
White 4 33
Asian 1 2
Hispanic 64 24
Two or More Races 15 17
American Indian 1 Data is updating

Demographics Comparison: Lexington vs Deerfield beach

  • In Deerfield beach, the percentage of Black residents is higher at 24% compared to 15% in Lexington.
  • The percentage of White residents is higher in Deerfield beach at 33% compared to 4% in Lexington.
  • In Deerfield beach, the Asian population stands at 2%, greater than 1% in Lexington.
  • The Hispanic community is larger in Lexington at 64% compared to 24% in Deerfield beach.
  • The percentage of residents identifying as two or more races is higher in Deerfield beach at 17%, compared to 15% in Lexington.
  • A greater percentage of American Indian residents live in Lexington at 1% compared to 0% in Deerfield beach.

Health Statistics

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

Health Metric Lexington Deerfield beach
Mental Health Not Good 13.6% 16.6%
Physical Health Not Good 12.0% 11.6%
Depression 16.2% 18.5%
Smoking 18.6% 19.8%
Binge Drinking 18.1% 15.1%
Obesity 45.1% 30.3%
Disability Percentage 9.0% 14.0%

Health Statistics Comparison: Lexington vs Deerfield beach

  • In Deerfield beach, a higher percentage report poor mental health at 16.6% compared to 13.6% in Lexington.
  • Higher depression rates are seen in Deerfield beach at 18.5% versus 16.2% in Lexington.
  • Deerfield beach has a higher smoking rate at 19.8% compared to 18.6% in Lexington.
  • Binge drinking is more common in Lexington at 18.1% compared to 15.1% in Deerfield beach.
  • Obesity rates are higher in Lexington at 45.1% compared to 30.3% in Deerfield beach.
  • There is a higher percentage of disabled individuals in Deerfield beach at 14.0% compared to 9.0% in Lexington.

Education Levels

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

Education Level Lexington Deerfield beach
No Schooling 6.2% (660) 1.8% (1,563)
High School Diploma 13.6% (1,463) 18.7% (16,205)
Less than High School 36.3% (3,892) 18.3% (15,908)
Bachelor's Degree and Higher 7.3% (779) 20.3% (17,606)

Education Levels Comparison: Lexington vs Deerfield beach

  • A higher percentage of residents in Lexington have no formal schooling at 6.2% compared to 1.8% in Deerfield beach.
  • In Deerfield beach, the rate of residents with high school diplomas is higher at 18.7% compared to 13.6% in Lexington.
  • More residents in Lexington have less than a high school education at 36.3% compared to 18.3% in Deerfield beach.
  • In Deerfield beach, a larger share of residents have a bachelor's degree or higher at 20.3% compared to 7.3% in Lexington.

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.