Demographics details for Simpsonville, SC vs Pleasant hill, MO

Population Overview

Compare main population characteristics in Simpsonville, SC vs Pleasant hill, MO.

Data Simpsonville Pleasant hill
Population 26,748 8,715
Median Age 37.8 years 36.9 years
Median Income $79,937 $88,408
Married Families 38.0% 43.0%
Poverty Level 7% 8%
Unemployment Rate 3.9 3.2

Population Comparison: Simpsonville vs Pleasant hill

  • In Simpsonville, the population is higher at 26,748, compared to 8,715 in Pleasant hill.
  • Residents in Simpsonville have a higher median age of 37.8 years compared to 36.9 years in Pleasant hill.
  • Pleasant hill has a higher median income of $88,408, compared to $79,937 in Simpsonville.
  • In Pleasant hill, the percentage of married families is higher at 43.0%, compared to 38.0% in Simpsonville.
  • The poverty level is higher in Pleasant hill at 8%, compared to 7% in Simpsonville.
  • The unemployment rate in Simpsonville is higher at 3.9%, compared to 3.2% in Pleasant hill.

Demographics

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

Demographic Simpsonville Pleasant hill
Black 21 Data is updating
White 66 91
Asian 1 Data is updating
Hispanic 7 6
Two or More Races 5 3
American Indian Data is updating Data is updating

Demographics Comparison: Simpsonville vs Pleasant hill

  • A higher percentage of Black residents are in Simpsonville at 21% compared to 0% in Pleasant hill.
  • The percentage of White residents is higher in Pleasant hill at 91% compared to 66% in Simpsonville.
  • The Asian population is larger in Simpsonville at 1% compared to 0% in Pleasant hill.
  • The Hispanic community is larger in Simpsonville at 7% compared to 6% in Pleasant hill.
  • More residents identify as two or more races in Simpsonville at 5% compared to 3% in Pleasant hill.
  • The percentage of American Indian residents is the same in both Simpsonville and Pleasant hill at 0%.

Health Statistics

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

Health Metric Simpsonville Pleasant hill
Mental Health Not Good 15.2% 18.8%
Physical Health Not Good 9.6% 12.9%
Depression 19.9% 25.7%
Smoking 13.5% 22.4%
Binge Drinking 17.8% 16.7%
Obesity 31.9% 39.8%
Disability Percentage 9.0% 12.0%

Health Statistics Comparison: Simpsonville vs Pleasant hill

  • In Pleasant hill, a higher percentage report poor mental health at 18.8% compared to 15.2% in Simpsonville.
  • Higher depression rates are seen in Pleasant hill at 25.7% versus 19.9% in Simpsonville.
  • Pleasant hill has a higher smoking rate at 22.4% compared to 13.5% in Simpsonville.
  • Binge drinking is more common in Simpsonville at 17.8% compared to 16.7% in Pleasant hill.
  • Pleasant hill has higher obesity rates at 39.8% compared to 31.9% in Simpsonville.
  • There is a higher percentage of disabled individuals in Pleasant hill at 12.0% compared to 9.0% in Simpsonville.

Education Levels

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

Education Level Simpsonville Pleasant hill
No Schooling 0.8% (225) 0.5% (46)
High School Diploma 14.4% (3,847) 19.3% (1,682)
Less than High School 6.1% (1,645) 5.9% (517)
Bachelor's Degree and Higher 21.5% (5,741) 16.9% (1,475)

Education Levels Comparison: Simpsonville vs Pleasant hill

  • A higher percentage of residents in Simpsonville have no formal schooling at 0.8% compared to 0.5% in Pleasant hill.
  • In Pleasant hill, the rate of residents with high school diplomas is higher at 19.3% compared to 14.4% in Simpsonville.
  • More residents in Simpsonville have less than a high school education at 6.1% compared to 5.9% in Pleasant hill.
  • A higher percentage of residents in Simpsonville hold a bachelor's degree or higher at 21.5% compared to 16.9% in Pleasant hill.

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.