Demographics details for Marshall, CA vs Springbrook, WI

Population Overview

Compare main population characteristics in Marshall, CA vs Springbrook, WI.

Data Marshall Springbrook
Population 533 74
Median Age 42.0 years 42.3 years
Median Income $90,000 $41,875
Married Families 60.0% 19.0%
Poverty Level 5% 5%
Unemployment Rate 3.0 4.0

Population Comparison: Marshall vs Springbrook

  • In Marshall, the population is higher at 533, compared to 74 in Springbrook.
  • The median age in Springbrook is higher at 42.3 years, compared to 42.0 years in Marshall.
  • Marshall has a higher median income of $90,000 compared to $41,875 in Springbrook.
  • A higher percentage of married families is found in Marshall at 60.0% compared to 19.0% in Springbrook.
  • The poverty level is identical in both Marshall and Springbrook at 5%.
  • Springbrook has a higher unemployment rate at 4.0% compared to 3.0% in Marshall.

Demographics

Demographics Marshall vs Springbrook provide insight into the diversity of the communities to compare.

Demographic Marshall Springbrook
Black Data is updating Data is updating
White 90 81
Asian 2 3
Hispanic 5 4
Two or More Races 3 12
American Indian Data is updating Data is updating

Demographics Comparison: Marshall vs Springbrook

  • The percentage of Black residents is the same in both Marshall and Springbrook at 0%.
  • Marshall has a higher percentage of White residents at 90% compared to 81% in Springbrook.
  • In Springbrook, the Asian population stands at 3%, greater than 2% in Marshall.
  • The Hispanic community is larger in Marshall at 5% compared to 4% in Springbrook.
  • The percentage of residents identifying as two or more races is higher in Springbrook at 12%, compared to 3% in Marshall.
  • The percentage of American Indian residents is the same in both Marshall and Springbrook at 0%.

Health Statistics

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

Health Metric Marshall Springbrook
Mental Health Not Good Data is updating% 14.5%
Physical Health Not Good Data is updating% 10.0%
Depression Data is updating% 23.1%
Smoking Data is updating% 15.5%
Binge Drinking Data is updating% 23.4%
Obesity Data is updating% 32.2%
Disability Percentage Data is updating% 15.0%

Health Statistics Comparison: Marshall vs Springbrook

  • In Springbrook, a higher percentage report poor mental health at 14.5% compared to 0.0% in Marshall.
  • Higher depression rates are seen in Springbrook at 23.1% versus 0.0% in Marshall.
  • Springbrook has a higher smoking rate at 15.5% compared to 0.0% in Marshall.
  • More residents engage in binge drinking in Springbrook at 23.4% compared to 0.0% in Marshall.
  • Springbrook has higher obesity rates at 32.2% compared to 0.0% in Marshall.
  • There is a higher percentage of disabled individuals in Springbrook at 15.0% compared to 0.0% in Marshall.

Education Levels

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

Education Level Marshall Springbrook
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 0.0% (Data is updating) 23.0% (17)
Less than High School 0.0% (Data is updating) 5.4% (4)
Bachelor's Degree and Higher 0.0% (Data is updating) 0.0% (Data is updating)

Education Levels Comparison: Marshall vs Springbrook

  • The percentage of residents with no formal schooling is the same in both Marshall and Springbrook at 0.0%.
  • In Springbrook, the rate of residents with high school diplomas is higher at 23.0% compared to 0.0% in Marshall.
  • The percentage of residents with less than a high school education is higher in Springbrook at 5.4%, compared to 0.0% in Marshall.
  • The percentage of residents with a bachelor's degree or higher is identical in both Marshall and Springbrook at 0.0%.

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.