Demographics details for Experiment, GA vs Shelbyville, IN

Population Overview

Compare main population characteristics in Experiment, GA vs Shelbyville, IN.

Data Experiment Shelbyville
Population 2,578 20,159
Median Age 37.3 years 35.6 years
Median Income $28,955 $55,850
Married Families 17.0% 38.0%
Poverty Level 13% 8%
Unemployment Rate 4.2 3.2

Population Comparison: Experiment vs Shelbyville

  • The population in Shelbyville is higher at 20,159, compared to 2,578 in Experiment.
  • Residents in Experiment have a higher median age of 37.3 years compared to 35.6 years in Shelbyville.
  • Shelbyville has a higher median income of $55,850, compared to $28,955 in Experiment.
  • In Shelbyville, the percentage of married families is higher at 38.0%, compared to 17.0% in Experiment.
  • Experiment has a higher poverty level at 13% compared to 8% in Shelbyville.
  • The unemployment rate in Experiment is higher at 4.2%, compared to 3.2% in Shelbyville.

Demographics

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

Demographic Experiment Shelbyville
Black 55 3
White 38 83
Asian Data is updating 2
Hispanic 6 9
Two or More Races Data is updating 3
American Indian 1 Data is updating

Demographics Comparison: Experiment vs Shelbyville

  • A higher percentage of Black residents are in Experiment at 55% compared to 3% in Shelbyville.
  • The percentage of White residents is higher in Shelbyville at 83% compared to 38% in Experiment.
  • In Shelbyville, the Asian population stands at 2%, greater than 0% in Experiment.
  • Shelbyville has a higher percentage of Hispanic residents at 9%, compared to 6% in Experiment.
  • The percentage of residents identifying as two or more races is higher in Shelbyville at 3%, compared to 0% in Experiment.
  • A greater percentage of American Indian residents live in Experiment at 1% compared to 0% in Shelbyville.

Health Statistics

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

Health Metric Experiment Shelbyville
Mental Health Not Good 22.7% 18.1%
Physical Health Not Good 19.6% 12.6%
Depression 22.2% 26.8%
Smoking 31.3% 21.7%
Binge Drinking 11.8% 16.4%
Obesity 44.5% 41.5%
Disability Percentage 18.0% 15.0%

Health Statistics Comparison: Experiment vs Shelbyville

  • More residents in Experiment report poor mental health at 22.7% compared to 18.1% in Shelbyville.
  • Higher depression rates are seen in Shelbyville at 26.8% versus 22.2% in Experiment.
  • Smoking is more prevalent in Experiment at 31.3% compared to 21.7% in Shelbyville.
  • More residents engage in binge drinking in Shelbyville at 16.4% compared to 11.8% in Experiment.
  • Obesity rates are higher in Experiment at 44.5% compared to 41.5% in Shelbyville.
  • Disability percentages are higher in Experiment at 18.0% compared to 15.0% in Shelbyville.

Education Levels

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

Education Level Experiment Shelbyville
No Schooling 3.2% (83) 1.1% (212)
High School Diploma 29.1% (749) 24.9% (5,016)
Less than High School 33.7% (869) 17.0% (3,430)
Bachelor's Degree and Higher 3.8% (98) 11.8% (2,384)

Education Levels Comparison: Experiment vs Shelbyville

  • A higher percentage of residents in Experiment have no formal schooling at 3.2% compared to 1.1% in Shelbyville.
  • A higher percentage of residents in Experiment hold a high school diploma at 29.1% compared to 24.9% in Shelbyville.
  • More residents in Experiment have less than a high school education at 33.7% compared to 17.0% in Shelbyville.
  • In Shelbyville, a larger share of residents have a bachelor's degree or higher at 11.8% 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.