Demographics details for Gainesville, TX vs Winona, MS

Population Overview

Compare main population characteristics in Gainesville, TX vs Winona, MS.

Data Gainesville Winona
Population 17,912 4,159
Median Age 34.8 years 33.7 years
Median Income $49,170 $26,250
Married Families 36.0% 21.0%
Poverty Level 15% 24%
Unemployment Rate 4.2 3.6

Population Comparison: Gainesville vs Winona

  • In Gainesville, the population is higher at 17,912, compared to 4,159 in Winona.
  • Residents in Gainesville have a higher median age of 34.8 years compared to 33.7 years in Winona.
  • Gainesville has a higher median income of $49,170 compared to $26,250 in Winona.
  • A higher percentage of married families is found in Gainesville at 36.0% compared to 21.0% in Winona.
  • The poverty level is higher in Winona at 24%, compared to 15% in Gainesville.
  • The unemployment rate in Gainesville is higher at 4.2%, compared to 3.6% in Winona.

Demographics

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

Demographic Gainesville Winona
Black 7 62
White 47 38
Asian 2 Data is updating
Hispanic 31 Data is updating
Two or More Races 12 Data is updating
American Indian 1 Data is updating

Demographics Comparison: Gainesville vs Winona

  • In Winona, the percentage of Black residents is higher at 62% compared to 7% in Gainesville.
  • Gainesville has a higher percentage of White residents at 47% compared to 38% in Winona.
  • The Asian population is larger in Gainesville at 2% compared to 0% in Winona.
  • The Hispanic community is larger in Gainesville at 31% compared to 0% in Winona.
  • More residents identify as two or more races in Gainesville at 12% compared to 0% in Winona.
  • A greater percentage of American Indian residents live in Gainesville at 1% compared to 0% in Winona.

Health Statistics

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

Health Metric Gainesville Winona
Mental Health Not Good 19.6% 19.3%
Physical Health Not Good 14.2% 15.0%
Depression 25.2% 22.3%
Smoking 21.4% 24.8%
Binge Drinking 17.5% 11.8%
Obesity 38.5% 46.4%
Disability Percentage 14.0% 25.0%

Health Statistics Comparison: Gainesville vs Winona

  • More residents in Gainesville report poor mental health at 19.6% compared to 19.3% in Winona.
  • Depression is more prevalent in Gainesville at 25.2% compared to 22.3% in Winona.
  • Winona has a higher smoking rate at 24.8% compared to 21.4% in Gainesville.
  • Binge drinking is more common in Gainesville at 17.5% compared to 11.8% in Winona.
  • Winona has higher obesity rates at 46.4% compared to 38.5% in Gainesville.
  • There is a higher percentage of disabled individuals in Winona at 25.0% compared to 14.0% in Gainesville.

Education Levels

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

Education Level Gainesville Winona
No Schooling 1.6% (286) 2.1% (87)
High School Diploma 15.0% (2,686) 11.4% (473)
Less than High School 20.8% (3,722) 28.5% (1,186)
Bachelor's Degree and Higher 11.2% (1,998) 9.3% (388)

Education Levels Comparison: Gainesville vs Winona

  • In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 1.6% in Gainesville.
  • A higher percentage of residents in Gainesville hold a high school diploma at 15.0% compared to 11.4% in Winona.
  • The percentage of residents with less than a high school education is higher in Winona at 28.5%, compared to 20.8% in Gainesville.
  • A higher percentage of residents in Gainesville hold a bachelor's degree or higher at 11.2% compared to 9.3% in Winona.

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.