Demographics details for Glendale, AZ vs Mount olive, MS

Population Overview

Compare main population characteristics in Glendale, AZ vs Mount olive, MS.

Data Glendale Mount olive
Population 252,136 878
Median Age 34.1 years 31.7 years
Median Income $66,375 $53,947
Married Families 33.0% 49.0%
Poverty Level 11% 18%
Unemployment Rate 3.6 6.5

Population Comparison: Glendale vs Mount olive

  • In Glendale, the population is higher at 252,136, compared to 878 in Mount olive.
  • Residents in Glendale have a higher median age of 34.1 years compared to 31.7 years in Mount olive.
  • Glendale has a higher median income of $66,375 compared to $53,947 in Mount olive.
  • In Mount olive, the percentage of married families is higher at 49.0%, compared to 33.0% in Glendale.
  • The poverty level is higher in Mount olive at 18%, compared to 11% in Glendale.
  • Mount olive has a higher unemployment rate at 6.5% compared to 3.6% in Glendale.

Demographics

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

Demographic Glendale Mount olive
Black 7 120
White 28 145
Asian 4 2
Hispanic 40 Data is updating
Two or More Races 19 Data is updating
American Indian 2 Data is updating

Demographics Comparison: Glendale vs Mount olive

  • In Mount olive, the percentage of Black residents is higher at 120% compared to 7% in Glendale.
  • The percentage of White residents is higher in Mount olive at 145% compared to 28% in Glendale.
  • The Asian population is larger in Glendale at 4% compared to 2% in Mount olive.
  • The Hispanic community is larger in Glendale at 40% compared to 0% in Mount olive.
  • More residents identify as two or more races in Glendale at 19% compared to 0% in Mount olive.
  • A greater percentage of American Indian residents live in Glendale at 2% compared to 0% in Mount olive.

Health Statistics

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

Health Metric Glendale Mount olive
Mental Health Not Good 18.4% 17.8%
Physical Health Not Good 12.4% 13.3%
Depression 20.2% 21.5%
Smoking 17.2% 21.3%
Binge Drinking 16.8% 13.0%
Obesity 32.9% 43.6%
Disability Percentage 13.0% 27.0%

Health Statistics Comparison: Glendale vs Mount olive

  • More residents in Glendale report poor mental health at 18.4% compared to 17.8% in Mount olive.
  • Higher depression rates are seen in Mount olive at 21.5% versus 20.2% in Glendale.
  • Mount olive has a higher smoking rate at 21.3% compared to 17.2% in Glendale.
  • Binge drinking is more common in Glendale at 16.8% compared to 13.0% in Mount olive.
  • Mount olive has higher obesity rates at 43.6% compared to 32.9% in Glendale.
  • There is a higher percentage of disabled individuals in Mount olive at 27.0% compared to 13.0% in Glendale.

Education Levels

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

Education Level Glendale Mount olive
No Schooling 1.7% (4,190) 2.3% (20)
High School Diploma 14.7% (37,119) 23.9% (210)
Less than High School 18.6% (46,911) 14.9% (131)
Bachelor's Degree and Higher 14.2% (35,878) 13.0% (114)

Education Levels Comparison: Glendale vs Mount olive

  • In Mount olive, a larger percentage of residents lack formal schooling at 2.3% compared to 1.7% in Glendale.
  • In Mount olive, the rate of residents with high school diplomas is higher at 23.9% compared to 14.7% in Glendale.
  • More residents in Glendale have less than a high school education at 18.6% compared to 14.9% in Mount olive.
  • A higher percentage of residents in Glendale hold a bachelor's degree or higher at 14.2% 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.