Demographics details for Conneaut, OH vs Santa fe springs, CA

Population Overview

Compare main population characteristics in Conneaut, OH vs Santa fe springs, CA.

Data Conneaut Santa fe springs
Population 12,400 18,439
Median Age 40.0 years 38.0 years
Median Income $55,708 $81,500
Married Families 31.0% 37.0%
Poverty Level 10% 10%
Unemployment Rate 5.0 5.5

Population Comparison: Conneaut vs Santa fe springs

  • The population in Santa fe springs is higher at 18,439, compared to 12,400 in Conneaut.
  • Residents in Conneaut have a higher median age of 40.0 years compared to 38.0 years in Santa fe springs.
  • Santa fe springs has a higher median income of $81,500, compared to $55,708 in Conneaut.
  • In Santa fe springs, the percentage of married families is higher at 37.0%, compared to 31.0% in Conneaut.
  • The poverty level is identical in both Conneaut and Santa fe springs at 10%.
  • Santa fe springs has a higher unemployment rate at 5.5% compared to 5.0% in Conneaut.

Demographics

Demographics Conneaut vs Santa fe springs provide insight into the diversity of the communities to compare.

Demographic Conneaut Santa fe springs
Black 7 4
White 86 -5
Asian 1 8
Hispanic 2 75
Two or More Races 4 15
American Indian Data is updating 3

Demographics Comparison: Conneaut vs Santa fe springs

  • A higher percentage of Black residents are in Conneaut at 7% compared to 4% in Santa fe springs.
  • Conneaut has a higher percentage of White residents at 86% compared to -5% in Santa fe springs.
  • In Santa fe springs, the Asian population stands at 8%, greater than 1% in Conneaut.
  • Santa fe springs has a higher percentage of Hispanic residents at 75%, compared to 2% in Conneaut.
  • The percentage of residents identifying as two or more races is higher in Santa fe springs at 15%, compared to 4% in Conneaut.
  • In Santa fe springs, the percentage of American Indian residents is higher at 3%, compared to 0% in Conneaut.

Health Statistics

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

Health Metric Conneaut Santa fe springs
Mental Health Not Good 18.4% 14.9%
Physical Health Not Good 14.1% 11.7%
Depression 25.4% 15.1%
Smoking 27.0% 10.0%
Binge Drinking 18.4% 15.7%
Obesity 45.5% 30.9%
Disability Percentage 17.0% 10.0%

Health Statistics Comparison: Conneaut vs Santa fe springs

  • More residents in Conneaut report poor mental health at 18.4% compared to 14.9% in Santa fe springs.
  • Depression is more prevalent in Conneaut at 25.4% compared to 15.1% in Santa fe springs.
  • Smoking is more prevalent in Conneaut at 27.0% compared to 10.0% in Santa fe springs.
  • Binge drinking is more common in Conneaut at 18.4% compared to 15.7% in Santa fe springs.
  • Obesity rates are higher in Conneaut at 45.5% compared to 30.9% in Santa fe springs.
  • Disability percentages are higher in Conneaut at 17.0% compared to 10.0% in Santa fe springs.

Education Levels

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

Education Level Conneaut Santa fe springs
No Schooling 0.4% (50) 3.5% (644)
High School Diploma 26.8% (3,319) 16.3% (3,011)
Less than High School 17.4% (2,157) 26.5% (4,883)
Bachelor's Degree and Higher 11.4% (1,411) 15.5% (2,850)

Education Levels Comparison: Conneaut vs Santa fe springs

  • In Santa fe springs, a larger percentage of residents lack formal schooling at 3.5% compared to 0.4% in Conneaut.
  • A higher percentage of residents in Conneaut hold a high school diploma at 26.8% compared to 16.3% in Santa fe springs.
  • The percentage of residents with less than a high school education is higher in Santa fe springs at 26.5%, compared to 17.4% in Conneaut.
  • In Santa fe springs, a larger share of residents have a bachelor's degree or higher at 15.5% compared to 11.4% in Conneaut.

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.