Demographics details for Simi valley, CA vs Blue island, IL

Population Overview

Compare main population characteristics in Simi valley, CA vs Blue island, IL.

Data Simi valley Blue island
Population 124,398 23,706
Median Age 41.2 years 33.0 years
Median Income $112,144 $63,000
Married Families 42.0% 38.0%
Poverty Level 8% 17%
Unemployment Rate 4.5 5.3

Population Comparison: Simi valley vs Blue island

  • In Simi valley, the population is higher at 124,398, compared to 23,706 in Blue island.
  • Residents in Simi valley have a higher median age of 41.2 years compared to 33.0 years in Blue island.
  • Simi valley has a higher median income of $112,144 compared to $63,000 in Blue island.
  • A higher percentage of married families is found in Simi valley at 42.0% compared to 38.0% in Blue island.
  • The poverty level is higher in Blue island at 17%, compared to 8% in Simi valley.
  • Blue island has a higher unemployment rate at 5.3% compared to 4.5% in Simi valley.

Demographics

Demographics Simi valley vs Blue island provide insight into the diversity of the communities to compare.

Demographic Simi valley Blue island
Black 1 60
White 47 20
Asian 12 10
Hispanic 27 10
Two or More Races 12 5
American Indian 1 Data is updating

Demographics Comparison: Simi valley vs Blue island

  • In Blue island, the percentage of Black residents is higher at 60% compared to 1% in Simi valley.
  • Simi valley has a higher percentage of White residents at 47% compared to 20% in Blue island.
  • The Asian population is larger in Simi valley at 12% compared to 10% in Blue island.
  • The Hispanic community is larger in Simi valley at 27% compared to 10% in Blue island.
  • More residents identify as two or more races in Simi valley at 12% compared to 5% in Blue island.
  • A greater percentage of American Indian residents live in Simi valley at 1% compared to 0% in Blue island.

Health Statistics

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

Health Metric Simi valley Blue island
Mental Health Not Good 14.6% Data is updating%
Physical Health Not Good 9.5% Data is updating%
Depression 18.3% Data is updating%
Smoking 10.6% Data is updating%
Binge Drinking 17.6% Data is updating%
Obesity 25.1% Data is updating%
Disability Percentage 12.0% Data is updating%

Health Statistics Comparison: Simi valley vs Blue island

  • More residents in Simi valley report poor mental health at 14.6% compared to 0.0% in Blue island.
  • Depression is more prevalent in Simi valley at 18.3% compared to 0.0% in Blue island.
  • Smoking is more prevalent in Simi valley at 10.6% compared to 0.0% in Blue island.
  • Binge drinking is more common in Simi valley at 17.6% compared to 0.0% in Blue island.
  • Obesity rates are higher in Simi valley at 25.1% compared to 0.0% in Blue island.
  • Disability percentages are higher in Simi valley at 12.0% compared to 0.0% in Blue island.

Education Levels

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

Education Level Simi valley Blue island
No Schooling 0.9% (1,160) 0.0% (Data is updating)
High School Diploma 13.1% (16,296) 0.0% (Data is updating)
Less than High School 11.5% (14,362) 0.0% (Data is updating)
Bachelor's Degree and Higher 25.9% (32,216) 0.0% (Data is updating)

Education Levels Comparison: Simi valley vs Blue island

  • A higher percentage of residents in Simi valley have no formal schooling at 0.9% compared to 0.0% in Blue island.
  • A higher percentage of residents in Simi valley hold a high school diploma at 13.1% compared to 0.0% in Blue island.
  • More residents in Simi valley have less than a high school education at 11.5% compared to 0.0% in Blue island.
  • A higher percentage of residents in Simi valley hold a bachelor's degree or higher at 25.9% compared to 0.0% in Blue island.

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.