Demographics details for University park, IA vs Marshall, AR

Population Overview

Compare main population characteristics in University park, IA vs Marshall, AR.

Data University park Marshall
Population 477 1,339
Median Age 35.1 years 52.3 years
Median Income $63,162 $28,290
Married Families 40.0% 33.0%
Poverty Level 5% 16%
Unemployment Rate 2.1 4.2

Population Comparison: University park vs Marshall

  • The population in Marshall is higher at 1,339, compared to 477 in University park.
  • The median age in Marshall is higher at 52.3 years, compared to 35.1 years in University park.
  • University park has a higher median income of $63,162 compared to $28,290 in Marshall.
  • A higher percentage of married families is found in University park at 40.0% compared to 33.0% in Marshall.
  • The poverty level is higher in Marshall at 16%, compared to 5% in University park.
  • Marshall has a higher unemployment rate at 4.2% compared to 2.1% in University park.

Demographics

Demographics University park vs Marshall provide insight into the diversity of the communities to compare.

Demographic University park Marshall
Black 2 Data is updating
White 79 84
Asian 1 Data is updating
Hispanic 5 3
Two or More Races 13 12
American Indian Data is updating 1

Demographics Comparison: University park vs Marshall

  • A higher percentage of Black residents are in University park at 2% compared to 0% in Marshall.
  • The percentage of White residents is higher in Marshall at 84% compared to 79% in University park.
  • The Asian population is larger in University park at 1% compared to 0% in Marshall.
  • The Hispanic community is larger in University park at 5% compared to 3% in Marshall.
  • More residents identify as two or more races in University park at 13% compared to 12% in Marshall.
  • In Marshall, the percentage of American Indian residents is higher at 1%, compared to 0% in University park.

Health Statistics

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

Health Metric University park Marshall
Mental Health Not Good 16.5% 21.7%
Physical Health Not Good 10.8% 16.2%
Depression 19.5% 29.8%
Smoking 19.6% 27.2%
Binge Drinking 20.1% 14.7%
Obesity 40.2% 39.2%
Disability Percentage 12.0% 30.0%

Health Statistics Comparison: University park vs Marshall

  • In Marshall, a higher percentage report poor mental health at 21.7% compared to 16.5% in University park.
  • Higher depression rates are seen in Marshall at 29.8% versus 19.5% in University park.
  • Marshall has a higher smoking rate at 27.2% compared to 19.6% in University park.
  • Binge drinking is more common in University park at 20.1% compared to 14.7% in Marshall.
  • Obesity rates are higher in University park at 40.2% compared to 39.2% in Marshall.
  • There is a higher percentage of disabled individuals in Marshall at 30.0% compared to 12.0% in University park.

Education Levels

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

Education Level University park Marshall
No Schooling 0.2% (1) 0.9% (12)
High School Diploma 18.9% (90) 27.9% (373)
Less than High School 8.6% (41) 32.4% (434)
Bachelor's Degree and Higher 15.9% (76) 11.7% (156)

Education Levels Comparison: University park vs Marshall

  • In Marshall, a larger percentage of residents lack formal schooling at 0.9% compared to 0.2% in University park.
  • In Marshall, the rate of residents with high school diplomas is higher at 27.9% compared to 18.9% in University park.
  • The percentage of residents with less than a high school education is higher in Marshall at 32.4%, compared to 8.6% in University park.
  • A higher percentage of residents in University park hold a bachelor's degree or higher at 15.9% compared to 11.7% in Marshall.

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.