Demographics details for Walnut bottom, PA vs Richland, MS

Population Overview

Compare main population characteristics in Walnut bottom, PA vs Richland, MS.

Data Walnut bottom Richland
Population 422 7,297
Median Age 37.0 years 37.1 years
Median Income $55,000 $54,753
Married Families 50.0% 40.0%
Poverty Level 10% 12%
Unemployment Rate 4.5 4.2

Population Comparison: Walnut bottom vs Richland

  • The population in Richland is higher at 7,297, compared to 422 in Walnut bottom.
  • The median age in Richland is higher at 37.1 years, compared to 37.0 years in Walnut bottom.
  • Walnut bottom has a higher median income of $55,000 compared to $54,753 in Richland.
  • A higher percentage of married families is found in Walnut bottom at 50.0% compared to 40.0% in Richland.
  • The poverty level is higher in Richland at 12%, compared to 10% in Walnut bottom.
  • The unemployment rate in Walnut bottom is higher at 4.5%, compared to 4.2% in Richland.

Demographics

Demographics Walnut bottom vs Richland provide insight into the diversity of the communities to compare.

Demographic Walnut bottom Richland
Black 1 19
White 98 74
Asian Data is updating 2
Hispanic 1 3
Two or More Races Data is updating 2
American Indian Data is updating Data is updating

Demographics Comparison: Walnut bottom vs Richland

  • In Richland, the percentage of Black residents is higher at 19% compared to 1% in Walnut bottom.
  • Walnut bottom has a higher percentage of White residents at 98% compared to 74% in Richland.
  • In Richland, the Asian population stands at 2%, greater than 0% in Walnut bottom.
  • Richland has a higher percentage of Hispanic residents at 3%, compared to 1% in Walnut bottom.
  • The percentage of residents identifying as two or more races is higher in Richland at 2%, compared to 0% in Walnut bottom.
  • The percentage of American Indian residents is the same in both Walnut bottom and Richland at 0%.

Health Statistics

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

Health Metric Walnut bottom Richland
Mental Health Not Good Data is updating% 16.9%
Physical Health Not Good Data is updating% 11.7%
Depression Data is updating% 23.4%
Smoking Data is updating% 19.3%
Binge Drinking Data is updating% 14.2%
Obesity Data is updating% 37.4%
Disability Percentage Data is updating% 13.0%

Health Statistics Comparison: Walnut bottom vs Richland

  • In Richland, a higher percentage report poor mental health at 16.9% compared to 0.0% in Walnut bottom.
  • Higher depression rates are seen in Richland at 23.4% versus 0.0% in Walnut bottom.
  • Richland has a higher smoking rate at 19.3% compared to 0.0% in Walnut bottom.
  • More residents engage in binge drinking in Richland at 14.2% compared to 0.0% in Walnut bottom.
  • Richland has higher obesity rates at 37.4% compared to 0.0% in Walnut bottom.
  • There is a higher percentage of disabled individuals in Richland at 13.0% compared to 0.0% in Walnut bottom.

Education Levels

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

Education Level Walnut bottom Richland
No Schooling 0.0% (Data is updating) 1.7% (122)
High School Diploma 0.0% (Data is updating) 12.6% (916)
Less than High School 0.0% (Data is updating) 10.0% (732)
Bachelor's Degree and Higher 0.0% (Data is updating) 16.1% (1,175)

Education Levels Comparison: Walnut bottom vs Richland

  • In Richland, a larger percentage of residents lack formal schooling at 1.7% compared to 0.0% in Walnut bottom.
  • In Richland, the rate of residents with high school diplomas is higher at 12.6% compared to 0.0% in Walnut bottom.
  • The percentage of residents with less than a high school education is higher in Richland at 10.0%, compared to 0.0% in Walnut bottom.
  • In Richland, a larger share of residents have a bachelor's degree or higher at 16.1% compared to 0.0% in Walnut bottom.

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.