Demographics details for Stockholm, WI vs State line, MS

Population Overview

Compare main population characteristics in Stockholm, WI vs State line, MS.

Data Stockholm State line
Population 82 458
Median Age 69.8 years 34.0 years
Median Income $62,500 $38,529
Married Families 84.0% 61.0%
Poverty Level Data is updating 18%
Unemployment Rate 2.5 5.5

Population Comparison: Stockholm vs State line

  • The population in State line is higher at 458, compared to 82 in Stockholm.
  • Residents in Stockholm have a higher median age of 69.8 years compared to 34.0 years in State line.
  • Stockholm has a higher median income of $62,500 compared to $38,529 in State line.
  • A higher percentage of married families is found in Stockholm at 84.0% compared to 61.0% in State line.
  • The poverty level is higher in State line at 18%, compared to 0% in Stockholm.
  • State line has a higher unemployment rate at 5.5% compared to 2.5% in Stockholm.

Demographics

Demographics Stockholm vs State line provide insight into the diversity of the communities to compare.

Demographic Stockholm State line
Black Data is updating 97
White 100 3
Asian Data is updating Data is updating
Hispanic Data is updating Data is updating
Two or More Races Data is updating Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Stockholm vs State line

  • In State line, the percentage of Black residents is higher at 97% compared to 0% in Stockholm.
  • Stockholm has a higher percentage of White residents at 100% compared to 3% in State line.
  • Both Stockholm and State line have the same percentage of Asian residents at 0%.
  • The percentage of Hispanic residents is the same in both Stockholm and State line at 0%.
  • Both Stockholm and State line have the same percentage of residents identifying as two or more races at 0%.
  • The percentage of American Indian residents is the same in both Stockholm and State line at 0%.

Health Statistics

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

Health Metric Stockholm State line
Mental Health Not Good 11.8% 16.8%
Physical Health Not Good 12.6% 12.4%
Depression 20.6% 20.9%
Smoking 16.4% 20.0%
Binge Drinking 19.3% 13.5%
Obesity 38.6% 41.8%
Disability Percentage 26.0% 32.0%

Health Statistics Comparison: Stockholm vs State line

  • In State line, a higher percentage report poor mental health at 16.8% compared to 11.8% in Stockholm.
  • Higher depression rates are seen in State line at 20.9% versus 20.6% in Stockholm.
  • State line has a higher smoking rate at 20.0% compared to 16.4% in Stockholm.
  • Binge drinking is more common in Stockholm at 19.3% compared to 13.5% in State line.
  • State line has higher obesity rates at 41.8% compared to 38.6% in Stockholm.
  • There is a higher percentage of disabled individuals in State line at 32.0% compared to 26.0% in Stockholm.

Education Levels

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

Education Level Stockholm State line
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 28.0% (23) 55.9% (256)
Less than High School 2.4% (2) 28.8% (132)
Bachelor's Degree and Higher 64.6% (53) 4.1% (19)

Education Levels Comparison: Stockholm vs State line

  • The percentage of residents with no formal schooling is the same in both Stockholm and State line at 0.0%.
  • In State line, the rate of residents with high school diplomas is higher at 55.9% compared to 28.0% in Stockholm.
  • The percentage of residents with less than a high school education is higher in State line at 28.8%, compared to 2.4% in Stockholm.
  • A higher percentage of residents in Stockholm hold a bachelor's degree or higher at 64.6% compared to 4.1% in State line.

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.