Demographics details for Pleasant hill, CA vs Mount olive, MS

Population Overview

Compare main population characteristics in Pleasant hill, CA vs Mount olive, MS.

Data Pleasant hill Mount olive
Population 33,913 878
Median Age 42.0 years 31.7 years
Median Income $137,685 $53,947
Married Families 43.0% 49.0%
Poverty Level 4% 18%
Unemployment Rate 4.6 6.5

Population Comparison: Pleasant hill vs Mount olive

  • In Pleasant hill, the population is higher at 33,913, compared to 878 in Mount olive.
  • Residents in Pleasant hill have a higher median age of 42.0 years compared to 31.7 years in Mount olive.
  • Pleasant hill has a higher median income of $137,685 compared to $53,947 in Mount olive.
  • In Mount olive, the percentage of married families is higher at 49.0%, compared to 43.0% in Pleasant hill.
  • The poverty level is higher in Mount olive at 18%, compared to 4% in Pleasant hill.
  • Mount olive has a higher unemployment rate at 6.5% compared to 4.6% in Pleasant hill.

Demographics

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

Demographic Pleasant hill Mount olive
Black 4 120
White 54 145
Asian 17 2
Hispanic 14 Data is updating
Two or More Races 11 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Pleasant hill vs Mount olive

  • In Mount olive, the percentage of Black residents is higher at 120% compared to 4% in Pleasant hill.
  • The percentage of White residents is higher in Mount olive at 145% compared to 54% in Pleasant hill.
  • The Asian population is larger in Pleasant hill at 17% compared to 2% in Mount olive.
  • The Hispanic community is larger in Pleasant hill at 14% compared to 0% in Mount olive.
  • More residents identify as two or more races in Pleasant hill at 11% compared to 0% in Mount olive.
  • The percentage of American Indian residents is the same in both Pleasant hill and Mount olive at 0%.

Health Statistics

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

Health Metric Pleasant hill Mount olive
Mental Health Not Good 13.4% 17.8%
Physical Health Not Good 8.1% 13.3%
Depression 17.4% 21.5%
Smoking 8.3% 21.3%
Binge Drinking 17.7% 13.0%
Obesity 22.6% 43.6%
Disability Percentage 11.0% 27.0%

Health Statistics Comparison: Pleasant hill vs Mount olive

  • In Mount olive, a higher percentage report poor mental health at 17.8% compared to 13.4% in Pleasant hill.
  • Higher depression rates are seen in Mount olive at 21.5% versus 17.4% in Pleasant hill.
  • Mount olive has a higher smoking rate at 21.3% compared to 8.3% in Pleasant hill.
  • Binge drinking is more common in Pleasant hill at 17.7% compared to 13.0% in Mount olive.
  • Mount olive has higher obesity rates at 43.6% compared to 22.6% in Pleasant hill.
  • There is a higher percentage of disabled individuals in Mount olive at 27.0% compared to 11.0% in Pleasant hill.

Education Levels

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

Education Level Pleasant hill Mount olive
No Schooling 1.4% (469) 2.3% (20)
High School Diploma 7.5% (2,527) 23.9% (210)
Less than High School 5.8% (1,962) 14.9% (131)
Bachelor's Degree and Higher 40.9% (13,861) 13.0% (114)

Education Levels Comparison: Pleasant hill vs Mount olive

  • In Mount olive, a larger percentage of residents lack formal schooling at 2.3% compared to 1.4% in Pleasant hill.
  • In Mount olive, the rate of residents with high school diplomas is higher at 23.9% compared to 7.5% in Pleasant hill.
  • The percentage of residents with less than a high school education is higher in Mount olive at 14.9%, compared to 5.8% in Pleasant hill.
  • A higher percentage of residents in Pleasant hill hold a bachelor's degree or higher at 40.9% 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.