Demographics details for Saint cloud, MN vs Shunk, PA

Population Overview

Compare main population characteristics in Saint cloud, MN vs Shunk, PA.

Data Saint cloud Shunk
Population 69,568 88
Median Age 30.3 years 45.0 years
Median Income $58,910 $60,000
Married Families 30.0% 55.0%
Poverty Level 11% 10%
Unemployment Rate 4.3 5.0

Population Comparison: Saint cloud vs Shunk

  • In Saint cloud, the population is higher at 69,568, compared to 88 in Shunk.
  • The median age in Shunk is higher at 45.0 years, compared to 30.3 years in Saint cloud.
  • Shunk has a higher median income of $60,000, compared to $58,910 in Saint cloud.
  • In Shunk, the percentage of married families is higher at 55.0%, compared to 30.0% in Saint cloud.
  • Saint cloud has a higher poverty level at 11% compared to 10% in Shunk.
  • Shunk has a higher unemployment rate at 5.0% compared to 4.3% in Saint cloud.

Demographics

Demographics Saint cloud vs Shunk provide insight into the diversity of the communities to compare.

Demographic Saint cloud Shunk
Black 18 Data is updating
White 68 90
Asian 4 Data is updating
Hispanic 4 5
Two or More Races 6 5
American Indian Data is updating Data is updating

Demographics Comparison: Saint cloud vs Shunk

  • A higher percentage of Black residents are in Saint cloud at 18% compared to 0% in Shunk.
  • The percentage of White residents is higher in Shunk at 90% compared to 68% in Saint cloud.
  • The Asian population is larger in Saint cloud at 4% compared to 0% in Shunk.
  • Shunk has a higher percentage of Hispanic residents at 5%, compared to 4% in Saint cloud.
  • More residents identify as two or more races in Saint cloud at 6% compared to 5% in Shunk.
  • The percentage of American Indian residents is the same in both Saint cloud and Shunk at 0%.

Health Statistics

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

Health Metric Saint cloud Shunk
Mental Health Not Good 16.2% Data is updating%
Physical Health Not Good 10.4% Data is updating%
Depression 24.3% Data is updating%
Smoking 19.0% Data is updating%
Binge Drinking 20.3% Data is updating%
Obesity 41.9% Data is updating%
Disability Percentage 12.0% Data is updating%

Health Statistics Comparison: Saint cloud vs Shunk

  • More residents in Saint cloud report poor mental health at 16.2% compared to 0.0% in Shunk.
  • Depression is more prevalent in Saint cloud at 24.3% compared to 0.0% in Shunk.
  • Smoking is more prevalent in Saint cloud at 19.0% compared to 0.0% in Shunk.
  • Binge drinking is more common in Saint cloud at 20.3% compared to 0.0% in Shunk.
  • Obesity rates are higher in Saint cloud at 41.9% compared to 0.0% in Shunk.
  • Disability percentages are higher in Saint cloud at 12.0% compared to 0.0% in Shunk.

Education Levels

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

Education Level Saint cloud Shunk
No Schooling 1.0% (723) 0.0% (Data is updating)
High School Diploma 12.6% (8,774) 0.0% (Data is updating)
Less than High School 8.0% (5,546) 0.0% (Data is updating)
Bachelor's Degree and Higher 17.3% (12,024) 0.0% (Data is updating)

Education Levels Comparison: Saint cloud vs Shunk

  • A higher percentage of residents in Saint cloud have no formal schooling at 1.0% compared to 0.0% in Shunk.
  • A higher percentage of residents in Saint cloud hold a high school diploma at 12.6% compared to 0.0% in Shunk.
  • More residents in Saint cloud have less than a high school education at 8.0% compared to 0.0% in Shunk.
  • A higher percentage of residents in Saint cloud hold a bachelor's degree or higher at 17.3% compared to 0.0% in Shunk.

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.