Demographics details for Goessel, KS vs Torrington, CT

Population Overview

Compare main population characteristics in Goessel, KS vs Torrington, CT.

Data Goessel Torrington
Population 562 35,563
Median Age 44.7 years 40.8 years
Median Income $55,972 $66,616
Married Families 36.0% 35.0%
Poverty Level 7% 9%
Unemployment Rate 3.5 2.8

Population Comparison: Goessel vs Torrington

  • The population in Torrington is higher at 35,563, compared to 562 in Goessel.
  • Residents in Goessel have a higher median age of 44.7 years compared to 40.8 years in Torrington.
  • Torrington has a higher median income of $66,616, compared to $55,972 in Goessel.
  • A higher percentage of married families is found in Goessel at 36.0% compared to 35.0% in Torrington.
  • The poverty level is higher in Torrington at 9%, compared to 7% in Goessel.
  • The unemployment rate in Goessel is higher at 3.5%, compared to 2.8% in Torrington.

Demographics

Demographics Goessel vs Torrington provide insight into the diversity of the communities to compare.

Demographic Goessel Torrington
Black Data is updating 10
White 94 61
Asian Data is updating 3
Hispanic 2 17
Two or More Races 4 9
American Indian Data is updating Data is updating

Demographics Comparison: Goessel vs Torrington

  • In Torrington, the percentage of Black residents is higher at 10% compared to 0% in Goessel.
  • Goessel has a higher percentage of White residents at 94% compared to 61% in Torrington.
  • In Torrington, the Asian population stands at 3%, greater than 0% in Goessel.
  • Torrington has a higher percentage of Hispanic residents at 17%, compared to 2% in Goessel.
  • The percentage of residents identifying as two or more races is higher in Torrington at 9%, compared to 4% in Goessel.
  • The percentage of American Indian residents is the same in both Goessel and Torrington at 0%.

Health Statistics

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

Health Metric Goessel Torrington
Mental Health Not Good 15.8% 16.2%
Physical Health Not Good 9.7% 10.5%
Depression 21.8% 23.3%
Smoking 17.4% 16.0%
Binge Drinking 18.6% 16.6%
Obesity 36.6% 28.8%
Disability Percentage 15.0% 15.0%

Health Statistics Comparison: Goessel vs Torrington

  • In Torrington, a higher percentage report poor mental health at 16.2% compared to 15.8% in Goessel.
  • Higher depression rates are seen in Torrington at 23.3% versus 21.8% in Goessel.
  • Smoking is more prevalent in Goessel at 17.4% compared to 16.0% in Torrington.
  • Binge drinking is more common in Goessel at 18.6% compared to 16.6% in Torrington.
  • Obesity rates are higher in Goessel at 36.6% compared to 28.8% in Torrington.
  • Disability percentages are the same in both Goessel and Torrington at 15.0%.

Education Levels

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

Education Level Goessel Torrington
No Schooling 0.0% (Data is updating) 1.2% (425)
High School Diploma 19.9% (112) 22.6% (8,040)
Less than High School 6.4% (36) 16.1% (5,736)
Bachelor's Degree and Higher 19.0% (107) 17.7% (6,279)

Education Levels Comparison: Goessel vs Torrington

  • In Torrington, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Goessel.
  • In Torrington, the rate of residents with high school diplomas is higher at 22.6% compared to 19.9% in Goessel.
  • The percentage of residents with less than a high school education is higher in Torrington at 16.1%, compared to 6.4% in Goessel.
  • A higher percentage of residents in Goessel hold a bachelor's degree or higher at 19.0% compared to 17.7% in Torrington.

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.