Demographics details for Oakland park, FL vs Cuthbert, GA

Population Overview

Compare main population characteristics in Oakland park, FL vs Cuthbert, GA.

Data Oakland park Cuthbert
Population 43,824 2,939
Median Age 39.1 years 37.6 years
Median Income $64,989 $21,278
Married Families 30.0% 16.0%
Poverty Level 14% 28%
Unemployment Rate 3.1 5.5

Population Comparison: Oakland park vs Cuthbert

  • In Oakland park, the population is higher at 43,824, compared to 2,939 in Cuthbert.
  • Residents in Oakland park have a higher median age of 39.1 years compared to 37.6 years in Cuthbert.
  • Oakland park has a higher median income of $64,989 compared to $21,278 in Cuthbert.
  • A higher percentage of married families is found in Oakland park at 30.0% compared to 16.0% in Cuthbert.
  • The poverty level is higher in Cuthbert at 28%, compared to 14% in Oakland park.
  • Cuthbert has a higher unemployment rate at 5.5% compared to 3.1% in Oakland park.

Demographics

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

Demographic Oakland park Cuthbert
Black 29 92
White 20 1
Asian 2 Data is updating
Hispanic 32 4
Two or More Races 17 3
American Indian Data is updating Data is updating

Demographics Comparison: Oakland park vs Cuthbert

  • In Cuthbert, the percentage of Black residents is higher at 92% compared to 29% in Oakland park.
  • Oakland park has a higher percentage of White residents at 20% compared to 1% in Cuthbert.
  • The Asian population is larger in Oakland park at 2% compared to 0% in Cuthbert.
  • The Hispanic community is larger in Oakland park at 32% compared to 4% in Cuthbert.
  • More residents identify as two or more races in Oakland park at 17% compared to 3% in Cuthbert.
  • The percentage of American Indian residents is the same in both Oakland park and Cuthbert at 0%.

Health Statistics

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

Health Metric Oakland park Cuthbert
Mental Health Not Good 16.3% 21.4%
Physical Health Not Good 12.2% 18.1%
Depression 17.8% 20.9%
Smoking 20.1% 27.3%
Binge Drinking 15.0% 11.1%
Obesity 31.1% 50.4%
Disability Percentage 11.0% 17.0%

Health Statistics Comparison: Oakland park vs Cuthbert

  • In Cuthbert, a higher percentage report poor mental health at 21.4% compared to 16.3% in Oakland park.
  • Higher depression rates are seen in Cuthbert at 20.9% versus 17.8% in Oakland park.
  • Cuthbert has a higher smoking rate at 27.3% compared to 20.1% in Oakland park.
  • Binge drinking is more common in Oakland park at 15.0% compared to 11.1% in Cuthbert.
  • Cuthbert has higher obesity rates at 50.4% compared to 31.1% in Oakland park.
  • There is a higher percentage of disabled individuals in Cuthbert at 17.0% 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 Oakland park Cuthbert
No Schooling 1.4% (596) 0.0% (Data is updating)
High School Diploma 19.8% (8,695) 20.6% (604)
Less than High School 16.2% (7,092) 17.1% (502)
Bachelor's Degree and Higher 20.7% (9,073) 9.6% (282)

Education Levels Comparison: Oakland park vs Cuthbert

  • A higher percentage of residents in Oakland park have no formal schooling at 1.4% compared to 0.0% in Cuthbert.
  • In Cuthbert, the rate of residents with high school diplomas is higher at 20.6% compared to 19.8% in Oakland park.
  • The percentage of residents with less than a high school education is higher in Cuthbert at 17.1%, compared to 16.2% in Oakland park.
  • A higher percentage of residents in Oakland park hold a bachelor's degree or higher at 20.7% compared to 9.6% in Cuthbert.

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.