Demographics details for Picayune, MS vs Springville, UT

Population Overview

Compare main population characteristics in Picayune, MS vs Springville, UT.

Data Picayune Springville
Population 11,826 35,832
Median Age 38.3 years 26.9 years
Median Income $35,649 $84,699
Married Families 27.0% 42.0%
Poverty Level 21% 5%
Unemployment Rate 4.5 3.6

Population Comparison: Picayune vs Springville

  • The population in Springville is higher at 35,832, compared to 11,826 in Picayune.
  • Residents in Picayune have a higher median age of 38.3 years compared to 26.9 years in Springville.
  • Springville has a higher median income of $84,699, compared to $35,649 in Picayune.
  • In Springville, the percentage of married families is higher at 42.0%, compared to 27.0% in Picayune.
  • Picayune has a higher poverty level at 21% compared to 5% in Springville.
  • The unemployment rate in Picayune is higher at 4.5%, compared to 3.6% in Springville.

Demographics

Demographics Picayune vs Springville provide insight into the diversity of the communities to compare.

Demographic Picayune Springville
Black 38 Data is updating
White 55 78
Asian Data is updating 1
Hispanic 2 16
Two or More Races 5 5
American Indian Data is updating Data is updating

Demographics Comparison: Picayune vs Springville

  • A higher percentage of Black residents are in Picayune at 38% compared to 0% in Springville.
  • The percentage of White residents is higher in Springville at 78% compared to 55% in Picayune.
  • In Springville, the Asian population stands at 1%, greater than 0% in Picayune.
  • Springville has a higher percentage of Hispanic residents at 16%, compared to 2% in Picayune.
  • Both Picayune and Springville have the same percentage of residents identifying as two or more races at 5%.
  • The percentage of American Indian residents is the same in both Picayune and Springville at 0%.

Health Statistics

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

Health Metric Picayune Springville
Mental Health Not Good 18.4% 14.9%
Physical Health Not Good 14.3% 10.6%
Depression 24.0% 23.8%
Smoking 23.3% 7.5%
Binge Drinking 13.3% 8.2%
Obesity 44.0% 30.9%
Disability Percentage 21.0% 10.0%

Health Statistics Comparison: Picayune vs Springville

  • More residents in Picayune report poor mental health at 18.4% compared to 14.9% in Springville.
  • Depression is more prevalent in Picayune at 24.0% compared to 23.8% in Springville.
  • Smoking is more prevalent in Picayune at 23.3% compared to 7.5% in Springville.
  • Binge drinking is more common in Picayune at 13.3% compared to 8.2% in Springville.
  • Obesity rates are higher in Picayune at 44.0% compared to 30.9% in Springville.
  • Disability percentages are higher in Picayune at 21.0% compared to 10.0% in Springville.

Education Levels

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

Education Level Picayune Springville
No Schooling 0.6% (73) 0.4% (141)
High School Diploma 17.8% (2,108) 9.2% (3,312)
Less than High School 11.8% (1,392) 5.2% (1,867)
Bachelor's Degree and Higher 10.1% (1,200) 20.7% (7,419)

Education Levels Comparison: Picayune vs Springville

  • A higher percentage of residents in Picayune have no formal schooling at 0.6% compared to 0.4% in Springville.
  • A higher percentage of residents in Picayune hold a high school diploma at 17.8% compared to 9.2% in Springville.
  • More residents in Picayune have less than a high school education at 11.8% compared to 5.2% in Springville.
  • In Springville, a larger share of residents have a bachelor's degree or higher at 20.7% compared to 10.1% in Picayune.

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.