Demographics details for Cleveland, MS vs Stockholm, WI

Population Overview

Compare main population characteristics in Cleveland, MS vs Stockholm, WI.

Data Cleveland Stockholm
Population 10,545 82
Median Age 33.8 years 69.8 years
Median Income $42,005 $62,500
Married Families 27.0% 84.0%
Poverty Level 24% Data is updating
Unemployment Rate 5.6 2.5

Population Comparison: Cleveland vs Stockholm

  • In Cleveland, the population is higher at 10,545, compared to 82 in Stockholm.
  • The median age in Stockholm is higher at 69.8 years, compared to 33.8 years in Cleveland.
  • Stockholm has a higher median income of $62,500, compared to $42,005 in Cleveland.
  • In Stockholm, the percentage of married families is higher at 84.0%, compared to 27.0% in Cleveland.
  • Cleveland has a higher poverty level at 24% compared to 0% in Stockholm.
  • The unemployment rate in Cleveland is higher at 5.6%, compared to 2.5% in Stockholm.

Demographics

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

Demographic Cleveland Stockholm
Black 56 Data is updating
White 36 100
Asian 2 Data is updating
Hispanic 1 Data is updating
Two or More Races 5 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Cleveland vs Stockholm

  • A higher percentage of Black residents are in Cleveland at 56% compared to 0% in Stockholm.
  • The percentage of White residents is higher in Stockholm at 100% compared to 36% in Cleveland.
  • The Asian population is larger in Cleveland at 2% compared to 0% in Stockholm.
  • The Hispanic community is larger in Cleveland at 1% compared to 0% in Stockholm.
  • More residents identify as two or more races in Cleveland at 5% compared to 0% in Stockholm.
  • The percentage of American Indian residents is the same in both Cleveland and Stockholm at 0%.

Health Statistics

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

Health Metric Cleveland Stockholm
Mental Health Not Good 17.6% 11.8%
Physical Health Not Good 13.8% 12.6%
Depression 20.4% 20.6%
Smoking 21.0% 16.4%
Binge Drinking 12.7% 19.3%
Obesity 41.4% 38.6%
Disability Percentage 20.0% 26.0%

Health Statistics Comparison: Cleveland vs Stockholm

  • More residents in Cleveland report poor mental health at 17.6% compared to 11.8% in Stockholm.
  • Higher depression rates are seen in Stockholm at 20.6% versus 20.4% in Cleveland.
  • Smoking is more prevalent in Cleveland at 21.0% compared to 16.4% in Stockholm.
  • More residents engage in binge drinking in Stockholm at 19.3% compared to 12.7% in Cleveland.
  • Obesity rates are higher in Cleveland at 41.4% compared to 38.6% in Stockholm.
  • There is a higher percentage of disabled individuals in Stockholm at 26.0% compared to 20.0% in Cleveland.

Education Levels

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

Education Level Cleveland Stockholm
No Schooling 0.9% (99) 0.0% (Data is updating)
High School Diploma 10.0% (1,059) 28.0% (23)
Less than High School 13.3% (1,404) 2.4% (2)
Bachelor's Degree and Higher 21.3% (2,242) 64.6% (53)

Education Levels Comparison: Cleveland vs Stockholm

  • A higher percentage of residents in Cleveland have no formal schooling at 0.9% compared to 0.0% in Stockholm.
  • In Stockholm, the rate of residents with high school diplomas is higher at 28.0% compared to 10.0% in Cleveland.
  • More residents in Cleveland have less than a high school education at 13.3% compared to 2.4% in Stockholm.
  • In Stockholm, a larger share of residents have a bachelor's degree or higher at 64.6% compared to 21.3% in Cleveland.

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.