Demographics details for Oak grove, KY vs Experiment, GA

Population Overview

Compare main population characteristics in Oak grove, KY vs Experiment, GA.

Data Oak grove Experiment
Population 7,997 2,578
Median Age 24.6 years 37.3 years
Median Income $40,740 $28,955
Married Families 24.0% 17.0%
Poverty Level Data is updating 13%
Unemployment Rate 3.5 4.2

Population Comparison: Oak grove vs Experiment

  • In Oak grove, the population is higher at 7,997, compared to 2,578 in Experiment.
  • The median age in Experiment is higher at 37.3 years, compared to 24.6 years in Oak grove.
  • Oak grove has a higher median income of $40,740 compared to $28,955 in Experiment.
  • A higher percentage of married families is found in Oak grove at 24.0% compared to 17.0% in Experiment.
  • The poverty level is higher in Experiment at 13%, compared to 0% in Oak grove.
  • Experiment has a higher unemployment rate at 4.2% compared to 3.5% in Oak grove.

Demographics

Demographics Oak grove vs Experiment provide insight into the diversity of the communities to compare.

Demographic Oak grove Experiment
Black 23 55
White 47 38
Asian 1 Data is updating
Hispanic 14 6
Two or More Races 15 Data is updating
American Indian Data is updating 1

Demographics Comparison: Oak grove vs Experiment

  • In Experiment, the percentage of Black residents is higher at 55% compared to 23% in Oak grove.
  • Oak grove has a higher percentage of White residents at 47% compared to 38% in Experiment.
  • The Asian population is larger in Oak grove at 1% compared to 0% in Experiment.
  • The Hispanic community is larger in Oak grove at 14% compared to 6% in Experiment.
  • More residents identify as two or more races in Oak grove at 15% compared to 0% in Experiment.
  • In Experiment, the percentage of American Indian residents is higher at 1%, compared to 0% in Oak grove.

Health Statistics

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

Health Metric Oak grove Experiment
Mental Health Not Good 19.6% 22.7%
Physical Health Not Good 15.0% 19.6%
Depression 27.8% 22.2%
Smoking 23.0% 31.3%
Binge Drinking 14.1% 11.8%
Obesity 39.9% 44.5%
Disability Percentage 15.0% 18.0%

Health Statistics Comparison: Oak grove vs Experiment

  • In Experiment, a higher percentage report poor mental health at 22.7% compared to 19.6% in Oak grove.
  • Depression is more prevalent in Oak grove at 27.8% compared to 22.2% in Experiment.
  • Experiment has a higher smoking rate at 31.3% compared to 23.0% in Oak grove.
  • Binge drinking is more common in Oak grove at 14.1% compared to 11.8% in Experiment.
  • Experiment has higher obesity rates at 44.5% compared to 39.9% in Oak grove.
  • There is a higher percentage of disabled individuals in Experiment at 18.0% compared to 15.0% in Oak grove.

Education Levels

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

Education Level Oak grove Experiment
No Schooling 1.0% (79) 3.2% (83)
High School Diploma 10.7% (856) 29.1% (749)
Less than High School 7.6% (609) 33.7% (869)
Bachelor's Degree and Higher 6.0% (481) 3.8% (98)

Education Levels Comparison: Oak grove vs Experiment

  • In Experiment, a larger percentage of residents lack formal schooling at 3.2% compared to 1.0% in Oak grove.
  • In Experiment, the rate of residents with high school diplomas is higher at 29.1% compared to 10.7% in Oak grove.
  • The percentage of residents with less than a high school education is higher in Experiment at 33.7%, compared to 7.6% in Oak grove.
  • A higher percentage of residents in Oak grove hold a bachelor's degree or higher at 6.0% compared to 3.8% in Experiment.

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.