Demographics details for Sulphur springs, TX vs Columbus, OH

Population Overview

Compare main population characteristics in Sulphur springs, TX vs Columbus, OH.

Data Sulphur springs Columbus
Population 16,408 907,971
Median Age 39.4 years 32.7 years
Median Income $54,950 $62,994
Married Families 39.0% 29.0%
Poverty Level 15% 14%
Unemployment Rate 4.5 5.0

Population Comparison: Sulphur springs vs Columbus

  • The population in Columbus is higher at 907,971, compared to 16,408 in Sulphur springs.
  • Residents in Sulphur springs have a higher median age of 39.4 years compared to 32.7 years in Columbus.
  • Columbus has a higher median income of $62,994, compared to $54,950 in Sulphur springs.
  • A higher percentage of married families is found in Sulphur springs at 39.0% compared to 29.0% in Columbus.
  • Sulphur springs has a higher poverty level at 15% compared to 14% in Columbus.
  • Columbus has a higher unemployment rate at 5.0% compared to 4.5% in Sulphur springs.

Demographics

Demographics Sulphur springs vs Columbus provide insight into the diversity of the communities to compare.

Demographic Sulphur springs Columbus
Black 14 29
White 63 51
Asian 1 6
Hispanic 17 7
Two or More Races 5 7
American Indian Data is updating Data is updating

Demographics Comparison: Sulphur springs vs Columbus

  • In Columbus, the percentage of Black residents is higher at 29% compared to 14% in Sulphur springs.
  • Sulphur springs has a higher percentage of White residents at 63% compared to 51% in Columbus.
  • In Columbus, the Asian population stands at 6%, greater than 1% in Sulphur springs.
  • The Hispanic community is larger in Sulphur springs at 17% compared to 7% in Columbus.
  • The percentage of residents identifying as two or more races is higher in Columbus at 7%, compared to 5% in Sulphur springs.
  • The percentage of American Indian residents is the same in both Sulphur springs and Columbus at 0%.

Health Statistics

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

Health Metric Sulphur springs Columbus
Mental Health Not Good 19.1% 18.4%
Physical Health Not Good 13.2% 12.2%
Depression 24.8% 23.9%
Smoking 20.1% 19.6%
Binge Drinking 17.5% 17.7%
Obesity 39.5% 38.0%
Disability Percentage 15.0% 11.0%

Health Statistics Comparison: Sulphur springs vs Columbus

  • More residents in Sulphur springs report poor mental health at 19.1% compared to 18.4% in Columbus.
  • Depression is more prevalent in Sulphur springs at 24.8% compared to 23.9% in Columbus.
  • Smoking is more prevalent in Sulphur springs at 20.1% compared to 19.6% in Columbus.
  • More residents engage in binge drinking in Columbus at 17.7% compared to 17.5% in Sulphur springs.
  • Obesity rates are higher in Sulphur springs at 39.5% compared to 38.0% in Columbus.
  • Disability percentages are higher in Sulphur springs at 15.0% compared to 11.0% in Columbus.

Education Levels

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

Education Level Sulphur springs Columbus
No Schooling 0.8% (127) 1.4% (12,592)
High School Diploma 18.3% (3,003) 14.4% (130,716)
Less than High School 16.0% (2,628) 9.7% (87,770)
Bachelor's Degree and Higher 13.7% (2,248) 25.2% (229,071)

Education Levels Comparison: Sulphur springs vs Columbus

  • In Columbus, a larger percentage of residents lack formal schooling at 1.4% compared to 0.8% in Sulphur springs.
  • A higher percentage of residents in Sulphur springs hold a high school diploma at 18.3% compared to 14.4% in Columbus.
  • More residents in Sulphur springs have less than a high school education at 16.0% compared to 9.7% in Columbus.
  • In Columbus, a larger share of residents have a bachelor's degree or higher at 25.2% compared to 13.7% in Sulphur springs.

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.