Demographics details for Oologah, OK vs Southington, CT

Population Overview

Compare main population characteristics in Oologah, OK vs Southington, CT.

Data Oologah Southington
Population 1,314 43,807
Median Age 33.1 years Data is updating
Median Income $82,531 $Data is updating
Married Families 47.0% Data is updating
Poverty Level 7% Data is updating
Unemployment Rate 3.5 2.2

Population Comparison: Oologah vs Southington

  • The population in Southington is higher at 43,807, compared to 1,314 in Oologah.
  • Residents in Oologah have a higher median age of 33.1 years compared to 0.0 years in Southington.
  • Oologah has a higher median income of $82,531 compared to $0 in Southington.
  • A higher percentage of married families is found in Oologah at 47.0% compared to 0.0% in Southington.
  • Oologah has a higher poverty level at 7% compared to 0% in Southington.
  • The unemployment rate in Oologah is higher at 3.5%, compared to 2.2% in Southington.

Demographics

Demographics Oologah vs Southington provide insight into the diversity of the communities to compare.

Demographic Oologah Southington
Black Data is updating Data is updating
White 55 100
Asian 1 Data is updating
Hispanic 3 Data is updating
Two or More Races 17 Data is updating
American Indian 24 Data is updating

Demographics Comparison: Oologah vs Southington

  • The percentage of Black residents is the same in both Oologah and Southington at 0%.
  • The percentage of White residents is higher in Southington at 100% compared to 55% in Oologah.
  • The Asian population is larger in Oologah at 1% compared to 0% in Southington.
  • The Hispanic community is larger in Oologah at 3% compared to 0% in Southington.
  • More residents identify as two or more races in Oologah at 17% compared to 0% in Southington.
  • A greater percentage of American Indian residents live in Oologah at 24% compared to 0% in Southington.

Health Statistics

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

Health Metric Oologah Southington
Mental Health Not Good 18.4% Data is updating%
Physical Health Not Good 12.0% Data is updating%
Depression 25.1% Data is updating%
Smoking 19.1% Data is updating%
Binge Drinking 15.5% Data is updating%
Obesity 43.4% Data is updating%
Disability Percentage 29.0% Data is updating%

Health Statistics Comparison: Oologah vs Southington

  • More residents in Oologah report poor mental health at 18.4% compared to 0.0% in Southington.
  • Depression is more prevalent in Oologah at 25.1% compared to 0.0% in Southington.
  • Smoking is more prevalent in Oologah at 19.1% compared to 0.0% in Southington.
  • Binge drinking is more common in Oologah at 15.5% compared to 0.0% in Southington.
  • Obesity rates are higher in Oologah at 43.4% compared to 0.0% in Southington.
  • Disability percentages are higher in Oologah at 29.0% compared to 0.0% in Southington.

Education Levels

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

Education Level Oologah Southington
No Schooling 0.4% (5) 0.0% (Data is updating)
High School Diploma 22.6% (297) 0.0% (Data is updating)
Less than High School 14.5% (190) 0.0% (Data is updating)
Bachelor's Degree and Higher 13.8% (181) 0.0% (Data is updating)

Education Levels Comparison: Oologah vs Southington

  • A higher percentage of residents in Oologah have no formal schooling at 0.4% compared to 0.0% in Southington.
  • A higher percentage of residents in Oologah hold a high school diploma at 22.6% compared to 0.0% in Southington.
  • More residents in Oologah have less than a high school education at 14.5% compared to 0.0% in Southington.
  • A higher percentage of residents in Oologah hold a bachelor's degree or higher at 13.8% compared to 0.0% in Southington.

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.