Demographics details for Richland, MS vs What cheer, IA

Population Overview

Compare main population characteristics in Richland, MS vs What cheer, IA.

Data Richland What cheer
Population 7,297 597
Median Age 37.1 years 34.8 years
Median Income $54,753 $45,500
Married Families 40.0% 45.0%
Poverty Level 12% 12%
Unemployment Rate 4.2 3.9

Population Comparison: Richland vs What cheer

  • In Richland, the population is higher at 7,297, compared to 597 in What cheer.
  • Residents in Richland have a higher median age of 37.1 years compared to 34.8 years in What cheer.
  • Richland has a higher median income of $54,753 compared to $45,500 in What cheer.
  • In What cheer, the percentage of married families is higher at 45.0%, compared to 40.0% in Richland.
  • The poverty level is identical in both Richland and What cheer at 12%.
  • The unemployment rate in Richland is higher at 4.2%, compared to 3.9% in What cheer.

Demographics

Demographics Richland vs What cheer provide insight into the diversity of the communities to compare.

Demographic Richland What cheer
Black 19 3
White 74 87
Asian 2 Data is updating
Hispanic 3 6
Two or More Races 2 4
American Indian Data is updating Data is updating

Demographics Comparison: Richland vs What cheer

  • A higher percentage of Black residents are in Richland at 19% compared to 3% in What cheer.
  • The percentage of White residents is higher in What cheer at 87% compared to 74% in Richland.
  • The Asian population is larger in Richland at 2% compared to 0% in What cheer.
  • What cheer has a higher percentage of Hispanic residents at 6%, compared to 3% in Richland.
  • The percentage of residents identifying as two or more races is higher in What cheer at 4%, compared to 2% in Richland.
  • The percentage of American Indian residents is the same in both Richland and What cheer at 0%.

Health Statistics

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

Health Metric Richland What cheer
Mental Health Not Good 16.9% 17.0%
Physical Health Not Good 11.7% 11.3%
Depression 23.4% 20.1%
Smoking 19.3% 21.2%
Binge Drinking 14.2% 21.0%
Obesity 37.4% 40.1%
Disability Percentage 13.0% 30.0%

Health Statistics Comparison: Richland vs What cheer

  • In What cheer, a higher percentage report poor mental health at 17.0% compared to 16.9% in Richland.
  • Depression is more prevalent in Richland at 23.4% compared to 20.1% in What cheer.
  • What cheer has a higher smoking rate at 21.2% compared to 19.3% in Richland.
  • More residents engage in binge drinking in What cheer at 21.0% compared to 14.2% in Richland.
  • What cheer has higher obesity rates at 40.1% compared to 37.4% in Richland.
  • There is a higher percentage of disabled individuals in What cheer at 30.0% compared to 13.0% in Richland.

Education Levels

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

Education Level Richland What cheer
No Schooling 1.7% (122) 1.5% (9)
High School Diploma 12.6% (916) 31.8% (190)
Less than High School 10.0% (732) 11.9% (71)
Bachelor's Degree and Higher 16.1% (1,175) 5.0% (30)

Education Levels Comparison: Richland vs What cheer

  • A higher percentage of residents in Richland have no formal schooling at 1.7% compared to 1.5% in What cheer.
  • In What cheer, the rate of residents with high school diplomas is higher at 31.8% compared to 12.6% in Richland.
  • The percentage of residents with less than a high school education is higher in What cheer at 11.9%, compared to 10.0% in Richland.
  • A higher percentage of residents in Richland hold a bachelor's degree or higher at 16.1% compared to 5.0% in What cheer.

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.