Demographics details for Simi valley, CA vs Mount olive, MS

Population Overview

Compare main population characteristics in Simi valley, CA vs Mount olive, MS.

Data Simi valley Mount olive
Population 124,398 878
Median Age 41.2 years 31.7 years
Median Income $112,144 $53,947
Married Families 42.0% 49.0%
Poverty Level 8% 18%
Unemployment Rate 4.5 6.5

Population Comparison: Simi valley vs Mount olive

  • In Simi valley, the population is higher at 124,398, compared to 878 in Mount olive.
  • Residents in Simi valley have a higher median age of 41.2 years compared to 31.7 years in Mount olive.
  • Simi valley has a higher median income of $112,144 compared to $53,947 in Mount olive.
  • In Mount olive, the percentage of married families is higher at 49.0%, compared to 42.0% in Simi valley.
  • The poverty level is higher in Mount olive at 18%, compared to 8% in Simi valley.
  • Mount olive has a higher unemployment rate at 6.5% compared to 4.5% in Simi valley.

Demographics

Demographics Simi valley vs Mount olive provide insight into the diversity of the communities to compare.

Demographic Simi valley Mount olive
Black 1 120
White 47 145
Asian 12 2
Hispanic 27 Data is updating
Two or More Races 12 Data is updating
American Indian 1 Data is updating

Demographics Comparison: Simi valley vs Mount olive

  • In Mount olive, the percentage of Black residents is higher at 120% compared to 1% in Simi valley.
  • The percentage of White residents is higher in Mount olive at 145% compared to 47% in Simi valley.
  • The Asian population is larger in Simi valley at 12% compared to 2% in Mount olive.
  • The Hispanic community is larger in Simi valley at 27% compared to 0% in Mount olive.
  • More residents identify as two or more races in Simi valley at 12% compared to 0% in Mount olive.
  • A greater percentage of American Indian residents live in Simi valley at 1% compared to 0% in Mount olive.

Health Statistics

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

Health Metric Simi valley Mount olive
Mental Health Not Good 14.6% 17.8%
Physical Health Not Good 9.5% 13.3%
Depression 18.3% 21.5%
Smoking 10.6% 21.3%
Binge Drinking 17.6% 13.0%
Obesity 25.1% 43.6%
Disability Percentage 12.0% 27.0%

Health Statistics Comparison: Simi valley vs Mount olive

  • In Mount olive, a higher percentage report poor mental health at 17.8% compared to 14.6% in Simi valley.
  • Higher depression rates are seen in Mount olive at 21.5% versus 18.3% in Simi valley.
  • Mount olive has a higher smoking rate at 21.3% compared to 10.6% in Simi valley.
  • Binge drinking is more common in Simi valley at 17.6% compared to 13.0% in Mount olive.
  • Mount olive has higher obesity rates at 43.6% compared to 25.1% in Simi valley.
  • There is a higher percentage of disabled individuals in Mount olive at 27.0% compared to 12.0% in Simi valley.

Education Levels

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

Education Level Simi valley Mount olive
No Schooling 0.9% (1,160) 2.3% (20)
High School Diploma 13.1% (16,296) 23.9% (210)
Less than High School 11.5% (14,362) 14.9% (131)
Bachelor's Degree and Higher 25.9% (32,216) 13.0% (114)

Education Levels Comparison: Simi valley vs Mount olive

  • In Mount olive, a larger percentage of residents lack formal schooling at 2.3% compared to 0.9% in Simi valley.
  • In Mount olive, the rate of residents with high school diplomas is higher at 23.9% compared to 13.1% in Simi valley.
  • The percentage of residents with less than a high school education is higher in Mount olive at 14.9%, compared to 11.5% in Simi valley.
  • A higher percentage of residents in Simi valley hold a bachelor's degree or higher at 25.9% compared to 13.0% in Mount olive.

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.