Demographics details for Santa monica, CA vs De queen, AR

Population Overview

Compare main population characteristics in Santa monica, CA vs De queen, AR.

Data Santa monica De queen
Population 89,947 6,042
Median Age 42.1 years 33.0 years
Median Income $106,797 $55,207
Married Families 35.0% 35.0%
Poverty Level 11% 24%
Unemployment Rate 5.8 4.8

Population Comparison: Santa monica vs De queen

  • In Santa monica, the population is higher at 89,947, compared to 6,042 in De queen.
  • Residents in Santa monica have a higher median age of 42.1 years compared to 33.0 years in De queen.
  • Santa monica has a higher median income of $106,797 compared to $55,207 in De queen.
  • The percentage of married families is the same in both Santa monica and De queen at 35.0%.
  • The poverty level is higher in De queen at 24%, compared to 11% in Santa monica.
  • The unemployment rate in Santa monica is higher at 5.8%, compared to 4.8% in De queen.

Demographics

Demographics Santa monica vs De queen provide insight into the diversity of the communities to compare.

Demographic Santa monica De queen
Black 5 6
White 55 28
Asian 9 Data is updating
Hispanic 18 60
Two or More Races 12 5
American Indian 1 1

Demographics Comparison: Santa monica vs De queen

  • In De queen, the percentage of Black residents is higher at 6% compared to 5% in Santa monica.
  • Santa monica has a higher percentage of White residents at 55% compared to 28% in De queen.
  • The Asian population is larger in Santa monica at 9% compared to 0% in De queen.
  • De queen has a higher percentage of Hispanic residents at 60%, compared to 18% in Santa monica.
  • More residents identify as two or more races in Santa monica at 12% compared to 5% in De queen.
  • The percentage of American Indian residents is the same in both Santa monica and De queen at 1%.

Health Statistics

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

Health Metric Santa monica De queen
Mental Health Not Good 13.5% 20.2%
Physical Health Not Good 8.1% 17.2%
Depression 16.6% 24.7%
Smoking 7.5% 24.0%
Binge Drinking 17.2% 12.9%
Obesity 24.1% 44.1%
Disability Percentage 9.0% 12.0%

Health Statistics Comparison: Santa monica vs De queen

  • In De queen, a higher percentage report poor mental health at 20.2% compared to 13.5% in Santa monica.
  • Higher depression rates are seen in De queen at 24.7% versus 16.6% in Santa monica.
  • De queen has a higher smoking rate at 24.0% compared to 7.5% in Santa monica.
  • Binge drinking is more common in Santa monica at 17.2% compared to 12.9% in De queen.
  • De queen has higher obesity rates at 44.1% compared to 24.1% in Santa monica.
  • There is a higher percentage of disabled individuals in De queen at 12.0% compared to 9.0% in Santa monica.

Education Levels

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

Education Level Santa monica De queen
No Schooling 1.1% (950) 1.8% (108)
High School Diploma 6.2% (5,554) 15.0% (905)
Less than High School 7.9% (7,118) 46.5% (2,809)
Bachelor's Degree and Higher 55.4% (49,805) 7.0% (421)

Education Levels Comparison: Santa monica vs De queen

  • In De queen, a larger percentage of residents lack formal schooling at 1.8% compared to 1.1% in Santa monica.
  • In De queen, the rate of residents with high school diplomas is higher at 15.0% compared to 6.2% in Santa monica.
  • The percentage of residents with less than a high school education is higher in De queen at 46.5%, compared to 7.9% in Santa monica.
  • A higher percentage of residents in Santa monica hold a bachelor's degree or higher at 55.4% compared to 7.0% in De queen.

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.