Demographics details for Livingston, TX vs Sugar valley, GA

Population Overview

Compare main population characteristics in Livingston, TX vs Sugar valley, GA.

Data Livingston Sugar valley
Population 5,784 8,120
Median Age 36.9 years 38.8 years
Median Income $47,952 $68,839
Married Families 28.0% 42.0%
Poverty Level 12% 9%
Unemployment Rate 3.5 3.5

Population Comparison: Livingston vs Sugar valley

  • The population in Sugar valley is higher at 8,120, compared to 5,784 in Livingston.
  • The median age in Sugar valley is higher at 38.8 years, compared to 36.9 years in Livingston.
  • Sugar valley has a higher median income of $68,839, compared to $47,952 in Livingston.
  • In Sugar valley, the percentage of married families is higher at 42.0%, compared to 28.0% in Livingston.
  • Livingston has a higher poverty level at 12% compared to 9% in Sugar valley.
  • The unemployment rate is the same in both Livingston and Sugar valley at 3.5%.

Demographics

Demographics Livingston vs Sugar valley provide insight into the diversity of the communities to compare.

Demographic Livingston Sugar valley
Black 18 Data is updating
White 38 86
Asian 2 1
Hispanic 29 9
Two or More Races 13 4
American Indian Data is updating Data is updating

Demographics Comparison: Livingston vs Sugar valley

  • A higher percentage of Black residents are in Livingston at 18% compared to 0% in Sugar valley.
  • The percentage of White residents is higher in Sugar valley at 86% compared to 38% in Livingston.
  • The Asian population is larger in Livingston at 2% compared to 1% in Sugar valley.
  • The Hispanic community is larger in Livingston at 29% compared to 9% in Sugar valley.
  • More residents identify as two or more races in Livingston at 13% compared to 4% in Sugar valley.
  • The percentage of American Indian residents is the same in both Livingston and Sugar valley at 0%.

Health Statistics

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

Health Metric Livingston Sugar valley
Mental Health Not Good 18.7% Data is updating%
Physical Health Not Good 13.1% Data is updating%
Depression 24.1% Data is updating%
Smoking 19.9% Data is updating%
Binge Drinking 17.9% Data is updating%
Obesity 42.1% Data is updating%
Disability Percentage 19.0% 16.0%

Health Statistics Comparison: Livingston vs Sugar valley

  • More residents in Livingston report poor mental health at 18.7% compared to 0.0% in Sugar valley.
  • Depression is more prevalent in Livingston at 24.1% compared to 0.0% in Sugar valley.
  • Smoking is more prevalent in Livingston at 19.9% compared to 0.0% in Sugar valley.
  • Binge drinking is more common in Livingston at 17.9% compared to 0.0% in Sugar valley.
  • Obesity rates are higher in Livingston at 42.1% compared to 0.0% in Sugar valley.
  • Disability percentages are higher in Livingston at 19.0% compared to 16.0% in Sugar valley.

Education Levels

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

Education Level Livingston Sugar valley
No Schooling 2.1% (123) 1.4% (111)
High School Diploma 20.7% (1,198) 16.9% (1,371)
Less than High School 22.3% (1,289) 22.0% (1,784)
Bachelor's Degree and Higher 9.0% (518) 7.6% (619)

Education Levels Comparison: Livingston vs Sugar valley

  • A higher percentage of residents in Livingston have no formal schooling at 2.1% compared to 1.4% in Sugar valley.
  • A higher percentage of residents in Livingston hold a high school diploma at 20.7% compared to 16.9% in Sugar valley.
  • More residents in Livingston have less than a high school education at 22.3% compared to 22.0% in Sugar valley.
  • A higher percentage of residents in Livingston hold a bachelor's degree or higher at 9.0% compared to 7.6% in Sugar valley.

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.