Demographics details for Iuka, MS vs Santa fe springs, CA

Population Overview

Compare main population characteristics in Iuka, MS vs Santa fe springs, CA.

Data Iuka Santa fe springs
Population 3,096 18,439
Median Age 37.2 years 38.0 years
Median Income $43,887 $81,500
Married Families 40.0% 37.0%
Poverty Level 22% 10%
Unemployment Rate 5.0 5.5

Population Comparison: Iuka vs Santa fe springs

  • The population in Santa fe springs is higher at 18,439, compared to 3,096 in Iuka.
  • The median age in Santa fe springs is higher at 38.0 years, compared to 37.2 years in Iuka.
  • Santa fe springs has a higher median income of $81,500, compared to $43,887 in Iuka.
  • A higher percentage of married families is found in Iuka at 40.0% compared to 37.0% in Santa fe springs.
  • Iuka has a higher poverty level at 22% compared to 10% in Santa fe springs.
  • Santa fe springs has a higher unemployment rate at 5.5% compared to 5.0% in Iuka.

Demographics

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

Demographic Iuka Santa fe springs
Black 4 4
White 94 -5
Asian Data is updating 8
Hispanic Data is updating 75
Two or More Races 2 15
American Indian Data is updating 3

Demographics Comparison: Iuka vs Santa fe springs

  • The percentage of Black residents is the same in both Iuka and Santa fe springs at 4%.
  • Iuka has a higher percentage of White residents at 94% compared to -5% in Santa fe springs.
  • In Santa fe springs, the Asian population stands at 8%, greater than 0% in Iuka.
  • Santa fe springs has a higher percentage of Hispanic residents at 75%, compared to 0% in Iuka.
  • The percentage of residents identifying as two or more races is higher in Santa fe springs at 15%, compared to 2% in Iuka.
  • In Santa fe springs, the percentage of American Indian residents is higher at 3%, compared to 0% in Iuka.

Health Statistics

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

Health Metric Iuka Santa fe springs
Mental Health Not Good 19.6% 14.9%
Physical Health Not Good 15.1% 11.7%
Depression 26.4% 15.1%
Smoking 25.7% 10.0%
Binge Drinking 14.6% 15.7%
Obesity 40.0% 30.9%
Disability Percentage 19.0% 10.0%

Health Statistics Comparison: Iuka vs Santa fe springs

  • More residents in Iuka report poor mental health at 19.6% compared to 14.9% in Santa fe springs.
  • Depression is more prevalent in Iuka at 26.4% compared to 15.1% in Santa fe springs.
  • Smoking is more prevalent in Iuka at 25.7% compared to 10.0% in Santa fe springs.
  • More residents engage in binge drinking in Santa fe springs at 15.7% compared to 14.6% in Iuka.
  • Obesity rates are higher in Iuka at 40.0% compared to 30.9% in Santa fe springs.
  • Disability percentages are higher in Iuka at 19.0% compared to 10.0% in Santa fe springs.

Education Levels

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

Education Level Iuka Santa fe springs
No Schooling 2.4% (75) 3.5% (644)
High School Diploma 19.9% (616) 16.3% (3,011)
Less than High School 21.0% (650) 26.5% (4,883)
Bachelor's Degree and Higher 11.2% (348) 15.5% (2,850)

Education Levels Comparison: Iuka vs Santa fe springs

  • In Santa fe springs, a larger percentage of residents lack formal schooling at 3.5% compared to 2.4% in Iuka.
  • A higher percentage of residents in Iuka hold a high school diploma at 19.9% compared to 16.3% in Santa fe springs.
  • The percentage of residents with less than a high school education is higher in Santa fe springs at 26.5%, compared to 21.0% in Iuka.
  • In Santa fe springs, a larger share of residents have a bachelor's degree or higher at 15.5% compared to 11.2% in Iuka.

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.