Demographics details for Pompano beach, FL vs Fancy farm, KY

Population Overview

Compare main population characteristics in Pompano beach, FL vs Fancy farm, KY.

Data Pompano beach Fancy farm
Population 112,302 300
Median Age 41.5 years 51.1 years
Median Income $61,155 $55,060
Married Families 33.0% 31.0%
Poverty Level 11% 10%
Unemployment Rate 3.8 3.2

Population Comparison: Pompano beach vs Fancy farm

  • In Pompano beach, the population is higher at 112,302, compared to 300 in Fancy farm.
  • The median age in Fancy farm is higher at 51.1 years, compared to 41.5 years in Pompano beach.
  • Pompano beach has a higher median income of $61,155 compared to $55,060 in Fancy farm.
  • A higher percentage of married families is found in Pompano beach at 33.0% compared to 31.0% in Fancy farm.
  • Pompano beach has a higher poverty level at 11% compared to 10% in Fancy farm.
  • The unemployment rate in Pompano beach is higher at 3.8%, compared to 3.2% in Fancy farm.

Demographics

Demographics Pompano beach vs Fancy farm provide insight into the diversity of the communities to compare.

Demographic Pompano beach Fancy farm
Black 30 3
White 30 91
Asian 2 Data is updating
Hispanic 24 Data is updating
Two or More Races 14 6
American Indian Data is updating Data is updating

Demographics Comparison: Pompano beach vs Fancy farm

  • A higher percentage of Black residents are in Pompano beach at 30% compared to 3% in Fancy farm.
  • The percentage of White residents is higher in Fancy farm at 91% compared to 30% in Pompano beach.
  • The Asian population is larger in Pompano beach at 2% compared to 0% in Fancy farm.
  • The Hispanic community is larger in Pompano beach at 24% compared to 0% in Fancy farm.
  • More residents identify as two or more races in Pompano beach at 14% compared to 6% in Fancy farm.
  • The percentage of American Indian residents is the same in both Pompano beach and Fancy farm at 0%.

Health Statistics

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

Health Metric Pompano beach Fancy farm
Mental Health Not Good 16.7% 17.9%
Physical Health Not Good 12.2% 12.6%
Depression 18.1% 27.3%
Smoking 20.9% 20.6%
Binge Drinking 14.9% 16.7%
Obesity 31.4% 37.4%
Disability Percentage 13.0% 14.0%

Health Statistics Comparison: Pompano beach vs Fancy farm

  • In Fancy farm, a higher percentage report poor mental health at 17.9% compared to 16.7% in Pompano beach.
  • Higher depression rates are seen in Fancy farm at 27.3% versus 18.1% in Pompano beach.
  • Smoking is more prevalent in Pompano beach at 20.9% compared to 20.6% in Fancy farm.
  • More residents engage in binge drinking in Fancy farm at 16.7% compared to 14.9% in Pompano beach.
  • Fancy farm has higher obesity rates at 37.4% compared to 31.4% in Pompano beach.
  • There is a higher percentage of disabled individuals in Fancy farm at 14.0% compared to 13.0% in Pompano beach.

Education Levels

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

Education Level Pompano beach Fancy farm
No Schooling 1.9% (2,095) 0.0% (Data is updating)
High School Diploma 18.0% (20,172) 47.7% (143)
Less than High School 17.1% (19,168) 5.3% (16)
Bachelor's Degree and Higher 22.2% (24,905) 14.3% (43)

Education Levels Comparison: Pompano beach vs Fancy farm

  • A higher percentage of residents in Pompano beach have no formal schooling at 1.9% compared to 0.0% in Fancy farm.
  • In Fancy farm, the rate of residents with high school diplomas is higher at 47.7% compared to 18.0% in Pompano beach.
  • More residents in Pompano beach have less than a high school education at 17.1% compared to 5.3% in Fancy farm.
  • A higher percentage of residents in Pompano beach hold a bachelor's degree or higher at 22.2% compared to 14.3% in Fancy farm.

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.