Demographics details for Kendleton, TX vs Sugar valley, GA

Population Overview

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

Data Kendleton Sugar valley
Population 348 8,120
Median Age 51.4 years 38.8 years
Median Income $42,679 $68,839
Married Families 18.0% 42.0%
Poverty Level 12% 9%
Unemployment Rate 4.5 3.5

Population Comparison: Kendleton vs Sugar valley

  • The population in Sugar valley is higher at 8,120, compared to 348 in Kendleton.
  • Residents in Kendleton have a higher median age of 51.4 years compared to 38.8 years in Sugar valley.
  • Sugar valley has a higher median income of $68,839, compared to $42,679 in Kendleton.
  • In Sugar valley, the percentage of married families is higher at 42.0%, compared to 18.0% in Kendleton.
  • Kendleton has a higher poverty level at 12% compared to 9% in Sugar valley.
  • The unemployment rate in Kendleton is higher at 4.5%, compared to 3.5% in Sugar valley.

Demographics

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

Demographic Kendleton Sugar valley
Black 45 Data is updating
White 26 86
Asian Data is updating 1
Hispanic 23 9
Two or More Races 6 4
American Indian Data is updating Data is updating

Demographics Comparison: Kendleton vs Sugar valley

  • A higher percentage of Black residents are in Kendleton at 45% compared to 0% in Sugar valley.
  • The percentage of White residents is higher in Sugar valley at 86% compared to 26% in Kendleton.
  • In Sugar valley, the Asian population stands at 1%, greater than 0% in Kendleton.
  • The Hispanic community is larger in Kendleton at 23% compared to 9% in Sugar valley.
  • More residents identify as two or more races in Kendleton at 6% compared to 4% in Sugar valley.
  • The percentage of American Indian residents is the same in both Kendleton and Sugar valley at 0%.

Health Statistics

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

Health Metric Kendleton Sugar valley
Mental Health Not Good 20.0% Data is updating%
Physical Health Not Good 15.2% Data is updating%
Depression 19.8% Data is updating%
Smoking 23.2% Data is updating%
Binge Drinking 12.9% Data is updating%
Obesity 45.9% Data is updating%
Disability Percentage 12.0% 16.0%

Health Statistics Comparison: Kendleton vs Sugar valley

  • More residents in Kendleton report poor mental health at 20.0% compared to 0.0% in Sugar valley.
  • Depression is more prevalent in Kendleton at 19.8% compared to 0.0% in Sugar valley.
  • Smoking is more prevalent in Kendleton at 23.2% compared to 0.0% in Sugar valley.
  • Binge drinking is more common in Kendleton at 12.9% compared to 0.0% in Sugar valley.
  • Obesity rates are higher in Kendleton at 45.9% compared to 0.0% in Sugar valley.
  • There is a higher percentage of disabled individuals in Sugar valley at 16.0% compared to 12.0% in Kendleton.

Education Levels

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

Education Level Kendleton Sugar valley
No Schooling 7.2% (25) 1.4% (111)
High School Diploma 41.4% (144) 16.9% (1,371)
Less than High School 16.4% (57) 22.0% (1,784)
Bachelor's Degree and Higher 1.7% (6) 7.6% (619)

Education Levels Comparison: Kendleton vs Sugar valley

  • A higher percentage of residents in Kendleton have no formal schooling at 7.2% compared to 1.4% in Sugar valley.
  • A higher percentage of residents in Kendleton hold a high school diploma at 41.4% compared to 16.9% in Sugar valley.
  • The percentage of residents with less than a high school education is higher in Sugar valley at 22.0%, compared to 16.4% in Kendleton.
  • In Sugar valley, a larger share of residents have a bachelor's degree or higher at 7.6% compared to 1.7% in Kendleton.

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.