Demographics details for Gilbert, AZ vs Santa fe springs, CA

Population Overview

Compare main population characteristics in Gilbert, AZ vs Santa fe springs, CA.

Data Gilbert Santa fe springs
Population 275,346 18,439
Median Age 35.4 years 38.0 years
Median Income $115,179 $81,500
Married Families 42.0% 37.0%
Poverty Level 6% 10%
Unemployment Rate 3.0 5.5

Population Comparison: Gilbert vs Santa fe springs

  • In Gilbert, the population is higher at 275,346, compared to 18,439 in Santa fe springs.
  • The median age in Santa fe springs is higher at 38.0 years, compared to 35.4 years in Gilbert.
  • Gilbert has a higher median income of $115,179 compared to $81,500 in Santa fe springs.
  • A higher percentage of married families is found in Gilbert at 42.0% compared to 37.0% in Santa fe springs.
  • The poverty level is higher in Santa fe springs at 10%, compared to 6% in Gilbert.
  • Santa fe springs has a higher unemployment rate at 5.5% compared to 3.0% in Gilbert.

Demographics

Demographics Gilbert vs Santa fe springs provide insight into the diversity of the communities to compare.

Demographic Gilbert Santa fe springs
Black 4 4
White 62 -5
Asian 6 8
Hispanic 17 75
Two or More Races 10 15
American Indian 1 3

Demographics Comparison: Gilbert vs Santa fe springs

  • The percentage of Black residents is the same in both Gilbert and Santa fe springs at 4%.
  • Gilbert has a higher percentage of White residents at 62% compared to -5% in Santa fe springs.
  • In Santa fe springs, the Asian population stands at 8%, greater than 6% in Gilbert.
  • Santa fe springs has a higher percentage of Hispanic residents at 75%, compared to 17% in Gilbert.
  • The percentage of residents identifying as two or more races is higher in Santa fe springs at 15%, compared to 10% in Gilbert.
  • In Santa fe springs, the percentage of American Indian residents is higher at 3%, compared to 1% in Gilbert.

Health Statistics

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

Health Metric Gilbert Santa fe springs
Mental Health Not Good 15.2% 14.9%
Physical Health Not Good 8.4% 11.7%
Depression 19.0% 15.1%
Smoking 11.3% 10.0%
Binge Drinking 19.1% 15.7%
Obesity 27.2% 30.9%
Disability Percentage 7.0% 10.0%

Health Statistics Comparison: Gilbert vs Santa fe springs

  • More residents in Gilbert report poor mental health at 15.2% compared to 14.9% in Santa fe springs.
  • Depression is more prevalent in Gilbert at 19.0% compared to 15.1% in Santa fe springs.
  • Smoking is more prevalent in Gilbert at 11.3% compared to 10.0% in Santa fe springs.
  • Binge drinking is more common in Gilbert at 19.1% compared to 15.7% in Santa fe springs.
  • Santa fe springs has higher obesity rates at 30.9% compared to 27.2% in Gilbert.
  • There is a higher percentage of disabled individuals in Santa fe springs at 10.0% compared to 7.0% in Gilbert.

Education Levels

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

Education Level Gilbert Santa fe springs
No Schooling 0.5% (1,279) 3.5% (644)
High School Diploma 8.1% (22,388) 16.3% (3,011)
Less than High School 4.0% (10,945) 26.5% (4,883)
Bachelor's Degree and Higher 28.4% (78,297) 15.5% (2,850)

Education Levels Comparison: Gilbert vs Santa fe springs

  • In Santa fe springs, a larger percentage of residents lack formal schooling at 3.5% compared to 0.5% in Gilbert.
  • In Santa fe springs, the rate of residents with high school diplomas is higher at 16.3% compared to 8.1% in Gilbert.
  • The percentage of residents with less than a high school education is higher in Santa fe springs at 26.5%, compared to 4.0% in Gilbert.
  • A higher percentage of residents in Gilbert hold a bachelor's degree or higher at 28.4% compared to 15.5% in Santa fe springs.

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.