Demographics details for Patterson, GA vs Jeffersonville, IN

Population Overview

Compare main population characteristics in Patterson, GA vs Jeffersonville, IN.

Data Patterson Jeffersonville
Population 765 51,030
Median Age 43.5 years 38.6 years
Median Income $46,923 $67,566
Married Families 37.0% 37.0%
Poverty Level 15% 10%
Unemployment Rate 4.2 4.1

Population Comparison: Patterson vs Jeffersonville

  • The population in Jeffersonville is higher at 51,030, compared to 765 in Patterson.
  • Residents in Patterson have a higher median age of 43.5 years compared to 38.6 years in Jeffersonville.
  • Jeffersonville has a higher median income of $67,566, compared to $46,923 in Patterson.
  • The percentage of married families is the same in both Patterson and Jeffersonville at 37.0%.
  • Patterson has a higher poverty level at 15% compared to 10% in Jeffersonville.
  • The unemployment rate in Patterson is higher at 4.2%, compared to 4.1% in Jeffersonville.

Demographics

Demographics Patterson vs Jeffersonville provide insight into the diversity of the communities to compare.

Demographic Patterson Jeffersonville
Black 20 12
White 77 75
Asian Data is updating 1
Hispanic 1 5
Two or More Races 2 7
American Indian Data is updating Data is updating

Demographics Comparison: Patterson vs Jeffersonville

  • A higher percentage of Black residents are in Patterson at 20% compared to 12% in Jeffersonville.
  • Patterson has a higher percentage of White residents at 77% compared to 75% in Jeffersonville.
  • In Jeffersonville, the Asian population stands at 1%, greater than 0% in Patterson.
  • Jeffersonville has a higher percentage of Hispanic residents at 5%, compared to 1% in Patterson.
  • The percentage of residents identifying as two or more races is higher in Jeffersonville at 7%, compared to 2% in Patterson.
  • The percentage of American Indian residents is the same in both Patterson and Jeffersonville at 0%.

Health Statistics

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

Health Metric Patterson Jeffersonville
Mental Health Not Good 18.2% 17.3%
Physical Health Not Good 13.3% 11.7%
Depression 22.8% 23.5%
Smoking 20.2% 20.2%
Binge Drinking 15.4% 16.9%
Obesity 36.9% 40.2%
Disability Percentage 7.0% 13.0%

Health Statistics Comparison: Patterson vs Jeffersonville

  • More residents in Patterson report poor mental health at 18.2% compared to 17.3% in Jeffersonville.
  • Higher depression rates are seen in Jeffersonville at 23.5% versus 22.8% in Patterson.
  • Smoking rates are the same in both Patterson and Jeffersonville at 20.2%.
  • More residents engage in binge drinking in Jeffersonville at 16.9% compared to 15.4% in Patterson.
  • Jeffersonville has higher obesity rates at 40.2% compared to 36.9% in Patterson.
  • There is a higher percentage of disabled individuals in Jeffersonville at 13.0% compared to 7.0% in Patterson.

Education Levels

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

Education Level Patterson Jeffersonville
No Schooling 0.0% (Data is updating) 0.6% (293)
High School Diploma 24.8% (190) 18.6% (9,472)
Less than High School 11.8% (90) 9.7% (4,952)
Bachelor's Degree and Higher 17.4% (133) 16.9% (8,649)

Education Levels Comparison: Patterson vs Jeffersonville

  • In Jeffersonville, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Patterson.
  • A higher percentage of residents in Patterson hold a high school diploma at 24.8% compared to 18.6% in Jeffersonville.
  • More residents in Patterson have less than a high school education at 11.8% compared to 9.7% in Jeffersonville.
  • A higher percentage of residents in Patterson hold a bachelor's degree or higher at 17.4% compared to 16.9% in Jeffersonville.

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.