Demographics details for Chino valley, AZ vs Garland, TX

Population Overview

Compare main population characteristics in Chino valley, AZ vs Garland, TX.

Data Chino valley Garland
Population 13,669 240,854
Median Age 51.5 years 34.4 years
Median Income $55,682 $71,044
Married Families 44.0% 39.0%
Poverty Level 10% 12%
Unemployment Rate 3.5 4.0

Population Comparison: Chino valley vs Garland

  • The population in Garland is higher at 240,854, compared to 13,669 in Chino valley.
  • Residents in Chino valley have a higher median age of 51.5 years compared to 34.4 years in Garland.
  • Garland has a higher median income of $71,044, compared to $55,682 in Chino valley.
  • A higher percentage of married families is found in Chino valley at 44.0% compared to 39.0% in Garland.
  • The poverty level is higher in Garland at 12%, compared to 10% in Chino valley.
  • Garland has a higher unemployment rate at 4.0% compared to 3.5% in Chino valley.

Demographics

Demographics Chino valley vs Garland provide insight into the diversity of the communities to compare.

Demographic Chino valley Garland
Black Data is updating 16
White 74 6
Asian 1 11
Hispanic 16 45
Two or More Races 8 21
American Indian 1 1

Demographics Comparison: Chino valley vs Garland

  • In Garland, the percentage of Black residents is higher at 16% compared to 0% in Chino valley.
  • Chino valley has a higher percentage of White residents at 74% compared to 6% in Garland.
  • In Garland, the Asian population stands at 11%, greater than 1% in Chino valley.
  • Garland has a higher percentage of Hispanic residents at 45%, compared to 16% in Chino valley.
  • The percentage of residents identifying as two or more races is higher in Garland at 21%, compared to 8% in Chino valley.
  • The percentage of American Indian residents is the same in both Chino valley and Garland at 1%.

Health Statistics

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

Health Metric Chino valley Garland
Mental Health Not Good 18.7% 17.1%
Physical Health Not Good 12.1% 12.1%
Depression 23.0% 22.2%
Smoking 18.8% 17.2%
Binge Drinking 16.9% 17.6%
Obesity 28.1% 33.9%
Disability Percentage 13.0% 9.0%

Health Statistics Comparison: Chino valley vs Garland

  • More residents in Chino valley report poor mental health at 18.7% compared to 17.1% in Garland.
  • Depression is more prevalent in Chino valley at 23.0% compared to 22.2% in Garland.
  • Smoking is more prevalent in Chino valley at 18.8% compared to 17.2% in Garland.
  • More residents engage in binge drinking in Garland at 17.6% compared to 16.9% in Chino valley.
  • Garland has higher obesity rates at 33.9% compared to 28.1% in Chino valley.
  • Disability percentages are higher in Chino valley at 13.0% compared to 9.0% in Garland.

Education Levels

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

Education Level Chino valley Garland
No Schooling 0.3% (46) 2.5% (6,080)
High School Diploma 15.6% (2,127) 13.9% (33,524)
Less than High School 12.3% (1,681) 24.7% (59,406)
Bachelor's Degree and Higher 15.0% (2,048) 15.5% (37,249)

Education Levels Comparison: Chino valley vs Garland

  • In Garland, a larger percentage of residents lack formal schooling at 2.5% compared to 0.3% in Chino valley.
  • A higher percentage of residents in Chino valley hold a high school diploma at 15.6% compared to 13.9% in Garland.
  • The percentage of residents with less than a high school education is higher in Garland at 24.7%, compared to 12.3% in Chino valley.
  • In Garland, a larger share of residents have a bachelor's degree or higher at 15.5% compared to 15.0% in Chino valley.

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.