Demographics details for Conneaut, OH vs South windsor, CT

Population Overview

Compare main population characteristics in Conneaut, OH vs South windsor, CT.

Data Conneaut South windsor
Population 12,400 26,054
Median Age 40.0 years 42.0 years
Median Income $55,708 $90,964
Married Families 31.0% 62.0%
Poverty Level 10% 5%
Unemployment Rate 5.0 2.2

Population Comparison: Conneaut vs South windsor

  • The population in South windsor is higher at 26,054, compared to 12,400 in Conneaut.
  • The median age in South windsor is higher at 42.0 years, compared to 40.0 years in Conneaut.
  • South windsor has a higher median income of $90,964, compared to $55,708 in Conneaut.
  • In South windsor, the percentage of married families is higher at 62.0%, compared to 31.0% in Conneaut.
  • Conneaut has a higher poverty level at 10% compared to 5% in South windsor.
  • The unemployment rate in Conneaut is higher at 5.0%, compared to 2.2% in South windsor.

Demographics

Demographics Conneaut vs South windsor provide insight into the diversity of the communities to compare.

Demographic Conneaut South windsor
Black 7 9
White 86 85
Asian 1 3
Hispanic 2 3
Two or More Races 4 2
American Indian Data is updating Data is updating

Demographics Comparison: Conneaut vs South windsor

  • In South windsor, the percentage of Black residents is higher at 9% compared to 7% in Conneaut.
  • Conneaut has a higher percentage of White residents at 86% compared to 85% in South windsor.
  • In South windsor, the Asian population stands at 3%, greater than 1% in Conneaut.
  • South windsor has a higher percentage of Hispanic residents at 3%, compared to 2% in Conneaut.
  • More residents identify as two or more races in Conneaut at 4% compared to 2% in South windsor.
  • The percentage of American Indian residents is the same in both Conneaut and South windsor at 0%.

Health Statistics

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

Health Metric Conneaut South windsor
Mental Health Not Good 18.4% Data is updating%
Physical Health Not Good 14.1% Data is updating%
Depression 25.4% Data is updating%
Smoking 27.0% Data is updating%
Binge Drinking 18.4% Data is updating%
Obesity 45.5% Data is updating%
Disability Percentage 17.0% Data is updating%

Health Statistics Comparison: Conneaut vs South windsor

  • More residents in Conneaut report poor mental health at 18.4% compared to 0.0% in South windsor.
  • Depression is more prevalent in Conneaut at 25.4% compared to 0.0% in South windsor.
  • Smoking is more prevalent in Conneaut at 27.0% compared to 0.0% in South windsor.
  • Binge drinking is more common in Conneaut at 18.4% compared to 0.0% in South windsor.
  • Obesity rates are higher in Conneaut at 45.5% compared to 0.0% in South windsor.
  • Disability percentages are higher in Conneaut at 17.0% compared to 0.0% in South windsor.

Education Levels

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

Education Level Conneaut South windsor
No Schooling 0.4% (50) 0.0% (Data is updating)
High School Diploma 26.8% (3,319) 0.0% (Data is updating)
Less than High School 17.4% (2,157) 0.0% (Data is updating)
Bachelor's Degree and Higher 11.4% (1,411) 0.0% (Data is updating)

Education Levels Comparison: Conneaut vs South windsor

  • A higher percentage of residents in Conneaut have no formal schooling at 0.4% compared to 0.0% in South windsor.
  • A higher percentage of residents in Conneaut hold a high school diploma at 26.8% compared to 0.0% in South windsor.
  • More residents in Conneaut have less than a high school education at 17.4% compared to 0.0% in South windsor.
  • A higher percentage of residents in Conneaut hold a bachelor's degree or higher at 11.4% compared to 0.0% in South windsor.

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.