Demographics details for Butler, WI vs Santa clarita, CA

Population Overview

Compare main population characteristics in Butler, WI vs Santa clarita, CA.

Data Butler Santa clarita
Population 1,811 221,345
Median Age 38.0 years 37.3 years
Median Income $65,000 $116,186
Married Families 52.0% 43.0%
Poverty Level 5% 8%
Unemployment Rate 3.5 5.7

Population Comparison: Butler vs Santa clarita

  • The population in Santa clarita is higher at 221,345, compared to 1,811 in Butler.
  • Residents in Butler have a higher median age of 38.0 years compared to 37.3 years in Santa clarita.
  • Santa clarita has a higher median income of $116,186, compared to $65,000 in Butler.
  • A higher percentage of married families is found in Butler at 52.0% compared to 43.0% in Santa clarita.
  • The poverty level is higher in Santa clarita at 8%, compared to 5% in Butler.
  • Santa clarita has a higher unemployment rate at 5.7% compared to 3.5% in Butler.

Demographics

Demographics Butler vs Santa clarita provide insight into the diversity of the communities to compare.

Demographic Butler Santa clarita
Black 2 4
White 88 30
Asian 5 11
Hispanic 3 37
Two or More Races 2 17
American Indian Data is updating 1

Demographics Comparison: Butler vs Santa clarita

  • In Santa clarita, the percentage of Black residents is higher at 4% compared to 2% in Butler.
  • Butler has a higher percentage of White residents at 88% compared to 30% in Santa clarita.
  • In Santa clarita, the Asian population stands at 11%, greater than 5% in Butler.
  • Santa clarita has a higher percentage of Hispanic residents at 37%, compared to 3% in Butler.
  • The percentage of residents identifying as two or more races is higher in Santa clarita at 17%, compared to 2% in Butler.
  • In Santa clarita, the percentage of American Indian residents is higher at 1%, compared to 0% in Butler.

Health Statistics

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

Health Metric Butler Santa clarita
Mental Health Not Good Data is updating% 14.7%
Physical Health Not Good Data is updating% 9.6%
Depression Data is updating% 16.8%
Smoking Data is updating% 9.7%
Binge Drinking Data is updating% 17.1%
Obesity Data is updating% 26.2%
Disability Percentage Data is updating% 10.0%

Health Statistics Comparison: Butler vs Santa clarita

  • In Santa clarita, a higher percentage report poor mental health at 14.7% compared to 0.0% in Butler.
  • Higher depression rates are seen in Santa clarita at 16.8% versus 0.0% in Butler.
  • Santa clarita has a higher smoking rate at 9.7% compared to 0.0% in Butler.
  • More residents engage in binge drinking in Santa clarita at 17.1% compared to 0.0% in Butler.
  • Santa clarita has higher obesity rates at 26.2% compared to 0.0% in Butler.
  • There is a higher percentage of disabled individuals in Santa clarita at 10.0% compared to 0.0% in Butler.

Education Levels

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

Education Level Butler Santa clarita
No Schooling 0.0% (Data is updating) 1.4% (3,097)
High School Diploma 0.0% (Data is updating) 10.7% (23,725)
Less than High School 0.0% (Data is updating) 11.7% (25,882)
Bachelor's Degree and Higher 0.0% (Data is updating) 26.1% (57,684)

Education Levels Comparison: Butler vs Santa clarita

  • In Santa clarita, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Butler.
  • In Santa clarita, the rate of residents with high school diplomas is higher at 10.7% compared to 0.0% in Butler.
  • The percentage of residents with less than a high school education is higher in Santa clarita at 11.7%, compared to 0.0% in Butler.
  • In Santa clarita, a larger share of residents have a bachelor's degree or higher at 26.1% compared to 0.0% in Butler.

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.