Demographics details for Diamond springs, CA vs Butler, WI

Population Overview

Compare main population characteristics in Diamond springs, CA vs Butler, WI.

Data Diamond springs Butler
Population 12,197 1,811
Median Age 43.7 years 38.0 years
Median Income $71,279 $65,000
Married Families 44.0% 52.0%
Poverty Level 11% 5%
Unemployment Rate 4.2 3.5

Population Comparison: Diamond springs vs Butler

  • In Diamond springs, the population is higher at 12,197, compared to 1,811 in Butler.
  • Residents in Diamond springs have a higher median age of 43.7 years compared to 38.0 years in Butler.
  • Diamond springs has a higher median income of $71,279 compared to $65,000 in Butler.
  • In Butler, the percentage of married families is higher at 52.0%, compared to 44.0% in Diamond springs.
  • Diamond springs has a higher poverty level at 11% compared to 5% in Butler.
  • The unemployment rate in Diamond springs is higher at 4.2%, compared to 3.5% in Butler.

Demographics

Demographics Diamond springs vs Butler provide insight into the diversity of the communities to compare.

Demographic Diamond springs Butler
Black Data is updating 2
White 72 88
Asian 3 5
Hispanic 18 3
Two or More Races 6 2
American Indian 1 Data is updating

Demographics Comparison: Diamond springs vs Butler

  • In Butler, the percentage of Black residents is higher at 2% compared to 0% in Diamond springs.
  • The percentage of White residents is higher in Butler at 88% compared to 72% in Diamond springs.
  • In Butler, the Asian population stands at 5%, greater than 3% in Diamond springs.
  • The Hispanic community is larger in Diamond springs at 18% compared to 3% in Butler.
  • More residents identify as two or more races in Diamond springs at 6% compared to 2% in Butler.
  • A greater percentage of American Indian residents live in Diamond springs at 1% compared to 0% in Butler.

Health Statistics

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

Health Metric Diamond springs Butler
Mental Health Not Good 16.7% Data is updating%
Physical Health Not Good 10.4% Data is updating%
Depression 23.2% Data is updating%
Smoking 12.7% Data is updating%
Binge Drinking 19.0% Data is updating%
Obesity 29.1% Data is updating%
Disability Percentage 14.0% Data is updating%

Health Statistics Comparison: Diamond springs vs Butler

  • More residents in Diamond springs report poor mental health at 16.7% compared to 0.0% in Butler.
  • Depression is more prevalent in Diamond springs at 23.2% compared to 0.0% in Butler.
  • Smoking is more prevalent in Diamond springs at 12.7% compared to 0.0% in Butler.
  • Binge drinking is more common in Diamond springs at 19.0% compared to 0.0% in Butler.
  • Obesity rates are higher in Diamond springs at 29.1% compared to 0.0% in Butler.
  • Disability percentages are higher in Diamond springs at 14.0% 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 Diamond springs Butler
No Schooling 0.6% (73) 0.0% (Data is updating)
High School Diploma 17.2% (2,093) 0.0% (Data is updating)
Less than High School 5.8% (711) 0.0% (Data is updating)
Bachelor's Degree and Higher 18.6% (2,271) 0.0% (Data is updating)

Education Levels Comparison: Diamond springs vs Butler

  • A higher percentage of residents in Diamond springs have no formal schooling at 0.6% compared to 0.0% in Butler.
  • A higher percentage of residents in Diamond springs hold a high school diploma at 17.2% compared to 0.0% in Butler.
  • More residents in Diamond springs have less than a high school education at 5.8% compared to 0.0% in Butler.
  • A higher percentage of residents in Diamond springs hold a bachelor's degree or higher at 18.6% 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.