Demographics details for Cypress inn, TN vs Blue mounds, WI

Population Overview

Compare main population characteristics in Cypress inn, TN vs Blue mounds, WI.

Data Cypress inn Blue mounds
Population 149 924
Median Age 36.0 years 37.0 years
Median Income $45,000 $71,094
Married Families 45.0% 34.0%
Poverty Level 12% 8%
Unemployment Rate 3.5 2.4

Population Comparison: Cypress inn vs Blue mounds

  • The population in Blue mounds is higher at 924, compared to 149 in Cypress inn.
  • The median age in Blue mounds is higher at 37.0 years, compared to 36.0 years in Cypress inn.
  • Blue mounds has a higher median income of $71,094, compared to $45,000 in Cypress inn.
  • A higher percentage of married families is found in Cypress inn at 45.0% compared to 34.0% in Blue mounds.
  • Cypress inn has a higher poverty level at 12% compared to 8% in Blue mounds.
  • The unemployment rate in Cypress inn is higher at 3.5%, compared to 2.4% in Blue mounds.

Demographics

Demographics Cypress inn vs Blue mounds provide insight into the diversity of the communities to compare.

Demographic Cypress inn Blue mounds
Black 5 1
White 90 96
Asian Data is updating Data is updating
Hispanic 3 1
Two or More Races 2 2
American Indian Data is updating Data is updating

Demographics Comparison: Cypress inn vs Blue mounds

  • A higher percentage of Black residents are in Cypress inn at 5% compared to 1% in Blue mounds.
  • The percentage of White residents is higher in Blue mounds at 96% compared to 90% in Cypress inn.
  • Both Cypress inn and Blue mounds have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Cypress inn at 3% compared to 1% in Blue mounds.
  • Both Cypress inn and Blue mounds have the same percentage of residents identifying as two or more races at 2%.
  • The percentage of American Indian residents is the same in both Cypress inn and Blue mounds at 0%.

Health Statistics

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

Health Metric Cypress inn Blue mounds
Mental Health Not Good Data is updating% 13.4%
Physical Health Not Good Data is updating% 7.8%
Depression Data is updating% 24.2%
Smoking Data is updating% 11.9%
Binge Drinking Data is updating% 25.4%
Obesity Data is updating% 27.3%
Disability Percentage Data is updating% 11.0%

Health Statistics Comparison: Cypress inn vs Blue mounds

  • In Blue mounds, a higher percentage report poor mental health at 13.4% compared to 0.0% in Cypress inn.
  • Higher depression rates are seen in Blue mounds at 24.2% versus 0.0% in Cypress inn.
  • Blue mounds has a higher smoking rate at 11.9% compared to 0.0% in Cypress inn.
  • More residents engage in binge drinking in Blue mounds at 25.4% compared to 0.0% in Cypress inn.
  • Blue mounds has higher obesity rates at 27.3% compared to 0.0% in Cypress inn.
  • There is a higher percentage of disabled individuals in Blue mounds at 11.0% compared to 0.0% in Cypress inn.

Education Levels

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

Education Level Cypress inn Blue mounds
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 0.0% (Data is updating) 15.3% (141)
Less than High School 0.0% (Data is updating) 9.0% (83)
Bachelor's Degree and Higher 0.0% (Data is updating) 19.7% (182)

Education Levels Comparison: Cypress inn vs Blue mounds

  • The percentage of residents with no formal schooling is the same in both Cypress inn and Blue mounds at 0.0%.
  • In Blue mounds, the rate of residents with high school diplomas is higher at 15.3% compared to 0.0% in Cypress inn.
  • The percentage of residents with less than a high school education is higher in Blue mounds at 9.0%, compared to 0.0% in Cypress inn.
  • In Blue mounds, a larger share of residents have a bachelor's degree or higher at 19.7% compared to 0.0% in Cypress inn.

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.