Demographics details for Powder springs, GA vs Lexington, TN

Population Overview

Compare main population characteristics in Powder springs, GA vs Lexington, TN.

Data Powder springs Lexington
Population 17,337 7,952
Median Age 38.7 years 36.6 years
Median Income $88,311 $45,877
Married Families 36.0% 35.0%
Poverty Level 12% 13%
Unemployment Rate 3.5 4.2

Population Comparison: Powder springs vs Lexington

  • In Powder springs, the population is higher at 17,337, compared to 7,952 in Lexington.
  • Residents in Powder springs have a higher median age of 38.7 years compared to 36.6 years in Lexington.
  • Powder springs has a higher median income of $88,311 compared to $45,877 in Lexington.
  • A higher percentage of married families is found in Powder springs at 36.0% compared to 35.0% in Lexington.
  • The poverty level is higher in Lexington at 13%, compared to 12% in Powder springs.
  • Lexington has a higher unemployment rate at 4.2% compared to 3.5% in Powder springs.

Demographics

Demographics Powder springs vs Lexington provide insight into the diversity of the communities to compare.

Demographic Powder springs Lexington
Black 51 17
White 22 81
Asian 2 Data is updating
Hispanic 19 1
Two or More Races 5 1
American Indian 1 Data is updating

Demographics Comparison: Powder springs vs Lexington

  • A higher percentage of Black residents are in Powder springs at 51% compared to 17% in Lexington.
  • The percentage of White residents is higher in Lexington at 81% compared to 22% in Powder springs.
  • The Asian population is larger in Powder springs at 2% compared to 0% in Lexington.
  • The Hispanic community is larger in Powder springs at 19% compared to 1% in Lexington.
  • More residents identify as two or more races in Powder springs at 5% compared to 1% in Lexington.
  • A greater percentage of American Indian residents live in Powder springs at 1% compared to 0% in Lexington.

Health Statistics

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

Health Metric Powder springs Lexington
Mental Health Not Good 15.0% 21.6%
Physical Health Not Good 10.7% 15.3%
Depression 17.7% 30.4%
Smoking 14.4% 26.1%
Binge Drinking 14.4% 14.4%
Obesity 33.0% 39.9%
Disability Percentage 11.0% 14.0%

Health Statistics Comparison: Powder springs vs Lexington

  • In Lexington, a higher percentage report poor mental health at 21.6% compared to 15.0% in Powder springs.
  • Higher depression rates are seen in Lexington at 30.4% versus 17.7% in Powder springs.
  • Lexington has a higher smoking rate at 26.1% compared to 14.4% in Powder springs.
  • Binge drinking rates are similar in both Powder springs and Lexington at 14.4%.
  • Lexington has higher obesity rates at 39.9% compared to 33.0% in Powder springs.
  • There is a higher percentage of disabled individuals in Lexington at 14.0% compared to 11.0% in Powder springs.

Education Levels

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

Education Level Powder springs Lexington
No Schooling 1.3% (225) 0.4% (29)
High School Diploma 15.0% (2,598) 22.4% (1,783)
Less than High School 7.6% (1,309) 14.6% (1,159)
Bachelor's Degree and Higher 26.3% (4,561) 9.3% (740)

Education Levels Comparison: Powder springs vs Lexington

  • A higher percentage of residents in Powder springs have no formal schooling at 1.3% compared to 0.4% in Lexington.
  • In Lexington, the rate of residents with high school diplomas is higher at 22.4% compared to 15.0% in Powder springs.
  • The percentage of residents with less than a high school education is higher in Lexington at 14.6%, compared to 7.6% in Powder springs.
  • A higher percentage of residents in Powder springs hold a bachelor's degree or higher at 26.3% compared to 9.3% in Lexington.

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.