Demographics details for Saint marys, WV vs Westminster, CA

Population Overview

Compare main population characteristics in Saint marys, WV vs Westminster, CA.

Data Saint marys Westminster
Population 1,808 89,397
Median Age 40.5 years 41.6 years
Median Income $53,125 $80,271
Married Families 52.0% 43.0%
Poverty Level 11% 11%
Unemployment Rate 4.3 4.4

Population Comparison: Saint marys vs Westminster

  • The population in Westminster is higher at 89,397, compared to 1,808 in Saint marys.
  • The median age in Westminster is higher at 41.6 years, compared to 40.5 years in Saint marys.
  • Westminster has a higher median income of $80,271, compared to $53,125 in Saint marys.
  • A higher percentage of married families is found in Saint marys at 52.0% compared to 43.0% in Westminster.
  • The poverty level is identical in both Saint marys and Westminster at 11%.
  • Westminster has a higher unemployment rate at 4.4% compared to 4.3% in Saint marys.

Demographics

Demographics Saint marys vs Westminster provide insight into the diversity of the communities to compare.

Demographic Saint marys Westminster
Black Data is updating 1
White 91 16
Asian Data is updating 51
Hispanic 4 24
Two or More Races 5 8
American Indian Data is updating Data is updating

Demographics Comparison: Saint marys vs Westminster

  • In Westminster, the percentage of Black residents is higher at 1% compared to 0% in Saint marys.
  • Saint marys has a higher percentage of White residents at 91% compared to 16% in Westminster.
  • In Westminster, the Asian population stands at 51%, greater than 0% in Saint marys.
  • Westminster has a higher percentage of Hispanic residents at 24%, compared to 4% in Saint marys.
  • The percentage of residents identifying as two or more races is higher in Westminster at 8%, compared to 5% in Saint marys.
  • The percentage of American Indian residents is the same in both Saint marys and Westminster at 0%.

Health Statistics

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

Health Metric Saint marys Westminster
Mental Health Not Good 20.2% 14.9%
Physical Health Not Good 14.0% 10.8%
Depression 28.5% 15.3%
Smoking 22.0% 12.5%
Binge Drinking 14.5% 13.0%
Obesity 44.3% 23.4%
Disability Percentage 21.0% 12.0%

Health Statistics Comparison: Saint marys vs Westminster

  • More residents in Saint marys report poor mental health at 20.2% compared to 14.9% in Westminster.
  • Depression is more prevalent in Saint marys at 28.5% compared to 15.3% in Westminster.
  • Smoking is more prevalent in Saint marys at 22.0% compared to 12.5% in Westminster.
  • Binge drinking is more common in Saint marys at 14.5% compared to 13.0% in Westminster.
  • Obesity rates are higher in Saint marys at 44.3% compared to 23.4% in Westminster.
  • Disability percentages are higher in Saint marys at 21.0% compared to 12.0% in Westminster.

Education Levels

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

Education Level Saint marys Westminster
No Schooling 0.0% (Data is updating) 4.5% (4,006)
High School Diploma 34.4% (622) 16.0% (14,303)
Less than High School 15.7% (284) 21.5% (19,217)
Bachelor's Degree and Higher 15.0% (272) 18.5% (16,558)

Education Levels Comparison: Saint marys vs Westminster

  • In Westminster, a larger percentage of residents lack formal schooling at 4.5% compared to 0.0% in Saint marys.
  • A higher percentage of residents in Saint marys hold a high school diploma at 34.4% compared to 16.0% in Westminster.
  • The percentage of residents with less than a high school education is higher in Westminster at 21.5%, compared to 15.7% in Saint marys.
  • In Westminster, a larger share of residents have a bachelor's degree or higher at 18.5% compared to 15.0% in Saint marys.

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.