Demographics details for Danville, KY vs Oakland park, FL

Population Overview

Compare main population characteristics in Danville, KY vs Oakland park, FL.

Data Danville Oakland park
Population 17,303 43,824
Median Age 36.4 years 39.1 years
Median Income $48,038 $64,989
Married Families 31.0% 30.0%
Poverty Level 15% 14%
Unemployment Rate 4.1 3.1

Population Comparison: Danville vs Oakland park

  • The population in Oakland park is higher at 43,824, compared to 17,303 in Danville.
  • The median age in Oakland park is higher at 39.1 years, compared to 36.4 years in Danville.
  • Oakland park has a higher median income of $64,989, compared to $48,038 in Danville.
  • A higher percentage of married families is found in Danville at 31.0% compared to 30.0% in Oakland park.
  • Danville has a higher poverty level at 15% compared to 14% in Oakland park.
  • The unemployment rate in Danville is higher at 4.1%, compared to 3.1% in Oakland park.

Demographics

Demographics Danville vs Oakland park provide insight into the diversity of the communities to compare.

Demographic Danville Oakland park
Black 12 29
White 79 20
Asian 1 2
Hispanic 4 32
Two or More Races 4 17
American Indian Data is updating Data is updating

Demographics Comparison: Danville vs Oakland park

  • In Oakland park, the percentage of Black residents is higher at 29% compared to 12% in Danville.
  • Danville has a higher percentage of White residents at 79% compared to 20% in Oakland park.
  • In Oakland park, the Asian population stands at 2%, greater than 1% in Danville.
  • Oakland park has a higher percentage of Hispanic residents at 32%, compared to 4% in Danville.
  • The percentage of residents identifying as two or more races is higher in Oakland park at 17%, compared to 4% in Danville.
  • The percentage of American Indian residents is the same in both Danville and Oakland park at 0%.

Health Statistics

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

Health Metric Danville Oakland park
Mental Health Not Good 19.1% 16.3%
Physical Health Not Good 14.1% 12.2%
Depression 27.7% 17.8%
Smoking 21.6% 20.1%
Binge Drinking 14.7% 15.0%
Obesity 41.5% 31.1%
Disability Percentage 15.0% 11.0%

Health Statistics Comparison: Danville vs Oakland park

  • More residents in Danville report poor mental health at 19.1% compared to 16.3% in Oakland park.
  • Depression is more prevalent in Danville at 27.7% compared to 17.8% in Oakland park.
  • Smoking is more prevalent in Danville at 21.6% compared to 20.1% in Oakland park.
  • More residents engage in binge drinking in Oakland park at 15.0% compared to 14.7% in Danville.
  • Obesity rates are higher in Danville at 41.5% compared to 31.1% in Oakland park.
  • Disability percentages are higher in Danville at 15.0% compared to 11.0% in Oakland park.

Education Levels

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

Education Level Danville Oakland park
No Schooling 0.6% (108) 1.4% (596)
High School Diploma 16.8% (2,899) 19.8% (8,695)
Less than High School 12.1% (2,102) 16.2% (7,092)
Bachelor's Degree and Higher 16.1% (2,789) 20.7% (9,073)

Education Levels Comparison: Danville vs Oakland park

  • In Oakland park, a larger percentage of residents lack formal schooling at 1.4% compared to 0.6% in Danville.
  • In Oakland park, the rate of residents with high school diplomas is higher at 19.8% compared to 16.8% in Danville.
  • The percentage of residents with less than a high school education is higher in Oakland park at 16.2%, compared to 12.1% in Danville.
  • In Oakland park, a larger share of residents have a bachelor's degree or higher at 20.7% compared to 16.1% in Danville.

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.