Demographics details for Canyon creek, MT vs Butler, MO

Population Overview

Compare main population characteristics in Canyon creek, MT vs Butler, MO.

Data Canyon creek Butler
Population 271 4,246
Median Age 43.0 years 36.7 years
Median Income $60,000 $33,548
Married Families 60.0% 35.0%
Poverty Level 8% 14%
Unemployment Rate 4.0 4.3

Population Comparison: Canyon creek vs Butler

  • The population in Butler is higher at 4,246, compared to 271 in Canyon creek.
  • Residents in Canyon creek have a higher median age of 43.0 years compared to 36.7 years in Butler.
  • Canyon creek has a higher median income of $60,000 compared to $33,548 in Butler.
  • A higher percentage of married families is found in Canyon creek at 60.0% compared to 35.0% in Butler.
  • The poverty level is higher in Butler at 14%, compared to 8% in Canyon creek.
  • Butler has a higher unemployment rate at 4.3% compared to 4.0% in Canyon creek.

Demographics

Demographics Canyon creek vs Butler provide insight into the diversity of the communities to compare.

Demographic Canyon creek Butler
Black Data is updating 6
White 95 89
Asian Data is updating 1
Hispanic 2 1
Two or More Races Data is updating 3
American Indian 3 Data is updating

Demographics Comparison: Canyon creek vs Butler

  • In Butler, the percentage of Black residents is higher at 6% compared to 0% in Canyon creek.
  • Canyon creek has a higher percentage of White residents at 95% compared to 89% in Butler.
  • In Butler, the Asian population stands at 1%, greater than 0% in Canyon creek.
  • The Hispanic community is larger in Canyon creek at 2% compared to 1% in Butler.
  • The percentage of residents identifying as two or more races is higher in Butler at 3%, compared to 0% in Canyon creek.
  • A greater percentage of American Indian residents live in Canyon creek at 3% compared to 0% in Butler.

Health Statistics

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

Health Metric Canyon creek Butler
Mental Health Not Good Data is updating% 20.0%
Physical Health Not Good Data is updating% 15.0%
Depression Data is updating% 27.0%
Smoking Data is updating% 26.2%
Binge Drinking Data is updating% 16.4%
Obesity Data is updating% 42.8%
Disability Percentage Data is updating% 21.0%

Health Statistics Comparison: Canyon creek vs Butler

  • In Butler, a higher percentage report poor mental health at 20.0% compared to 0.0% in Canyon creek.
  • Higher depression rates are seen in Butler at 27.0% versus 0.0% in Canyon creek.
  • Butler has a higher smoking rate at 26.2% compared to 0.0% in Canyon creek.
  • More residents engage in binge drinking in Butler at 16.4% compared to 0.0% in Canyon creek.
  • Butler has higher obesity rates at 42.8% compared to 0.0% in Canyon creek.
  • There is a higher percentage of disabled individuals in Butler at 21.0% compared to 0.0% in Canyon creek.

Education Levels

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

Education Level Canyon creek Butler
No Schooling 0.0% (Data is updating) 0.7% (31)
High School Diploma 0.0% (Data is updating) 37.8% (1,605)
Less than High School 0.0% (Data is updating) 11.9% (505)
Bachelor's Degree and Higher 0.0% (Data is updating) 7.8% (330)

Education Levels Comparison: Canyon creek vs Butler

  • In Butler, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Canyon creek.
  • In Butler, the rate of residents with high school diplomas is higher at 37.8% compared to 0.0% in Canyon creek.
  • The percentage of residents with less than a high school education is higher in Butler at 11.9%, compared to 0.0% in Canyon creek.
  • In Butler, a larger share of residents have a bachelor's degree or higher at 7.8% compared to 0.0% in Canyon creek.

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.