Demographics details for Walnut bottom, PA vs Marshall, AR

Population Overview

Compare main population characteristics in Walnut bottom, PA vs Marshall, AR.

Data Walnut bottom Marshall
Population 422 1,339
Median Age 37.0 years 52.3 years
Median Income $55,000 $28,290
Married Families 50.0% 33.0%
Poverty Level 10% 16%
Unemployment Rate 4.5 4.2

Population Comparison: Walnut bottom vs Marshall

  • The population in Marshall is higher at 1,339, compared to 422 in Walnut bottom.
  • The median age in Marshall is higher at 52.3 years, compared to 37.0 years in Walnut bottom.
  • Walnut bottom has a higher median income of $55,000 compared to $28,290 in Marshall.
  • A higher percentage of married families is found in Walnut bottom at 50.0% compared to 33.0% in Marshall.
  • The poverty level is higher in Marshall at 16%, compared to 10% in Walnut bottom.
  • The unemployment rate in Walnut bottom is higher at 4.5%, compared to 4.2% in Marshall.

Demographics

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

Demographic Walnut bottom Marshall
Black 1 Data is updating
White 98 84
Asian Data is updating Data is updating
Hispanic 1 3
Two or More Races Data is updating 12
American Indian Data is updating 1

Demographics Comparison: Walnut bottom vs Marshall

  • A higher percentage of Black residents are in Walnut bottom at 1% compared to 0% in Marshall.
  • Walnut bottom has a higher percentage of White residents at 98% compared to 84% in Marshall.
  • Both Walnut bottom and Marshall have the same percentage of Asian residents at 0%.
  • Marshall 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 Marshall at 12%, compared to 0% in Walnut bottom.
  • In Marshall, the percentage of American Indian residents is higher at 1%, compared to 0% in Walnut bottom.

Health Statistics

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

Health Metric Walnut bottom Marshall
Mental Health Not Good Data is updating% 21.7%
Physical Health Not Good Data is updating% 16.2%
Depression Data is updating% 29.8%
Smoking Data is updating% 27.2%
Binge Drinking Data is updating% 14.7%
Obesity Data is updating% 39.2%
Disability Percentage Data is updating% 30.0%

Health Statistics Comparison: Walnut bottom vs Marshall

  • In Marshall, a higher percentage report poor mental health at 21.7% compared to 0.0% in Walnut bottom.
  • Higher depression rates are seen in Marshall at 29.8% versus 0.0% in Walnut bottom.
  • Marshall has a higher smoking rate at 27.2% compared to 0.0% in Walnut bottom.
  • More residents engage in binge drinking in Marshall at 14.7% compared to 0.0% in Walnut bottom.
  • Marshall has higher obesity rates at 39.2% compared to 0.0% in Walnut bottom.
  • There is a higher percentage of disabled individuals in Marshall at 30.0% 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 Marshall
No Schooling 0.0% (Data is updating) 0.9% (12)
High School Diploma 0.0% (Data is updating) 27.9% (373)
Less than High School 0.0% (Data is updating) 32.4% (434)
Bachelor's Degree and Higher 0.0% (Data is updating) 11.7% (156)

Education Levels Comparison: Walnut bottom vs Marshall

  • In Marshall, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Walnut bottom.
  • In Marshall, the rate of residents with high school diplomas is higher at 27.9% compared to 0.0% in Walnut bottom.
  • The percentage of residents with less than a high school education is higher in Marshall at 32.4%, compared to 0.0% in Walnut bottom.
  • In Marshall, a larger share of residents have a bachelor's degree or higher at 11.7% 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.