Demographics details for Fort valley, GA vs Sugar land, TX

Population Overview

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

Data Fort valley Sugar land
Population 8,838 109,414
Median Age 30.6 years 42.5 years
Median Income $31,807 $132,247
Married Families 18.0% 52.0%
Poverty Level 25% 6%
Unemployment Rate 4.5 4.0

Population Comparison: Fort valley vs Sugar land

  • The population in Sugar land is higher at 109,414, compared to 8,838 in Fort valley.
  • The median age in Sugar land is higher at 42.5 years, compared to 30.6 years in Fort valley.
  • Sugar land has a higher median income of $132,247, compared to $31,807 in Fort valley.
  • In Sugar land, the percentage of married families is higher at 52.0%, compared to 18.0% in Fort valley.
  • Fort valley has a higher poverty level at 25% compared to 6% in Sugar land.
  • The unemployment rate in Fort valley is higher at 4.5%, compared to 4.0% in Sugar land.

Demographics

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

Demographic Fort valley Sugar land
Black 70 7
White 18 33
Asian Data is updating 39
Hispanic 8 13
Two or More Races 4 8
American Indian Data is updating Data is updating

Demographics Comparison: Fort valley vs Sugar land

  • A higher percentage of Black residents are in Fort valley at 70% compared to 7% in Sugar land.
  • The percentage of White residents is higher in Sugar land at 33% compared to 18% in Fort valley.
  • In Sugar land, the Asian population stands at 39%, greater than 0% in Fort valley.
  • Sugar land has a higher percentage of Hispanic residents at 13%, compared to 8% in Fort valley.
  • The percentage of residents identifying as two or more races is higher in Sugar land at 8%, compared to 4% in Fort valley.
  • The percentage of American Indian residents is the same in both Fort valley and Sugar land at 0%.

Health Statistics

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

Health Metric Fort valley Sugar land
Mental Health Not Good 19.2% 12.5%
Physical Health Not Good 15.5% 7.4%
Depression 19.5% 16.9%
Smoking 22.3% 9.6%
Binge Drinking 11.8% 16.0%
Obesity 46.2% 25.0%
Disability Percentage 16.0% 7.0%

Health Statistics Comparison: Fort valley vs Sugar land

  • More residents in Fort valley report poor mental health at 19.2% compared to 12.5% in Sugar land.
  • Depression is more prevalent in Fort valley at 19.5% compared to 16.9% in Sugar land.
  • Smoking is more prevalent in Fort valley at 22.3% compared to 9.6% in Sugar land.
  • More residents engage in binge drinking in Sugar land at 16.0% compared to 11.8% in Fort valley.
  • Obesity rates are higher in Fort valley at 46.2% compared to 25.0% in Sugar land.
  • Disability percentages are higher in Fort valley at 16.0% compared to 7.0% in Sugar land.

Education Levels

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

Education Level Fort valley Sugar land
No Schooling 3.0% (267) 1.2% (1,314)
High School Diploma 13.9% (1,226) 7.3% (7,972)
Less than High School 17.3% (1,527) 4.3% (4,753)
Bachelor's Degree and Higher 10.8% (954) 42.8% (46,851)

Education Levels Comparison: Fort valley vs Sugar land

  • A higher percentage of residents in Fort valley have no formal schooling at 3.0% compared to 1.2% in Sugar land.
  • A higher percentage of residents in Fort valley hold a high school diploma at 13.9% compared to 7.3% in Sugar land.
  • More residents in Fort valley have less than a high school education at 17.3% compared to 4.3% in Sugar land.
  • In Sugar land, a larger share of residents have a bachelor's degree or higher at 42.8% compared to 10.8% in Fort 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.