Demographics details for Gainesville, GA vs Sikeston, MO

Population Overview

Compare main population characteristics in Gainesville, GA vs Sikeston, MO.

Data Gainesville Sikeston
Population 45,282 16,073
Median Age 32.1 years 37.3 years
Median Income $64,163 $47,464
Married Families 31.0% 36.0%
Poverty Level 13% 16%
Unemployment Rate 3.5 3.4

Population Comparison: Gainesville vs Sikeston

  • In Gainesville, the population is higher at 45,282, compared to 16,073 in Sikeston.
  • The median age in Sikeston is higher at 37.3 years, compared to 32.1 years in Gainesville.
  • Gainesville has a higher median income of $64,163 compared to $47,464 in Sikeston.
  • In Sikeston, the percentage of married families is higher at 36.0%, compared to 31.0% in Gainesville.
  • The poverty level is higher in Sikeston at 16%, compared to 13% in Gainesville.
  • The unemployment rate in Gainesville is higher at 3.5%, compared to 3.4% in Sikeston.

Demographics

Demographics Gainesville vs Sikeston provide insight into the diversity of the communities to compare.

Demographic Gainesville Sikeston
Black 15 25
White 36 65
Asian 3 Data is updating
Hispanic 34 3
Two or More Races 12 7
American Indian Data is updating Data is updating

Demographics Comparison: Gainesville vs Sikeston

  • In Sikeston, the percentage of Black residents is higher at 25% compared to 15% in Gainesville.
  • The percentage of White residents is higher in Sikeston at 65% compared to 36% in Gainesville.
  • The Asian population is larger in Gainesville at 3% compared to 0% in Sikeston.
  • The Hispanic community is larger in Gainesville at 34% compared to 3% in Sikeston.
  • More residents identify as two or more races in Gainesville at 12% compared to 7% in Sikeston.
  • The percentage of American Indian residents is the same in both Gainesville and Sikeston at 0%.

Health Statistics

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

Health Metric Gainesville Sikeston
Mental Health Not Good 17.3% 19.8%
Physical Health Not Good 13.5% 14.7%
Depression 20.5% 24.6%
Smoking 17.7% 23.9%
Binge Drinking 14.7% 15.8%
Obesity 41.1% 39.0%
Disability Percentage 12.0% 20.0%

Health Statistics Comparison: Gainesville vs Sikeston

  • In Sikeston, a higher percentage report poor mental health at 19.8% compared to 17.3% in Gainesville.
  • Higher depression rates are seen in Sikeston at 24.6% versus 20.5% in Gainesville.
  • Sikeston has a higher smoking rate at 23.9% compared to 17.7% in Gainesville.
  • More residents engage in binge drinking in Sikeston at 15.8% compared to 14.7% in Gainesville.
  • Obesity rates are higher in Gainesville at 41.1% compared to 39.0% in Sikeston.
  • There is a higher percentage of disabled individuals in Sikeston at 20.0% compared to 12.0% in Gainesville.

Education Levels

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

Education Level Gainesville Sikeston
No Schooling 3.3% (1,499) 0.5% (76)
High School Diploma 13.1% (5,951) 23.0% (3,696)
Less than High School 24.9% (11,266) 13.3% (2,142)
Bachelor's Degree and Higher 14.8% (6,695) 16.3% (2,619)

Education Levels Comparison: Gainesville vs Sikeston

  • A higher percentage of residents in Gainesville have no formal schooling at 3.3% compared to 0.5% in Sikeston.
  • In Sikeston, the rate of residents with high school diplomas is higher at 23.0% compared to 13.1% in Gainesville.
  • More residents in Gainesville have less than a high school education at 24.9% compared to 13.3% in Sikeston.
  • In Sikeston, a larger share of residents have a bachelor's degree or higher at 16.3% compared to 14.8% in Gainesville.

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.