Demographics details for Eubank, KY vs Santa fe springs, CA

Population Overview

Compare main population characteristics in Eubank, KY vs Santa fe springs, CA.

Data Eubank Santa fe springs
Population 323 18,439
Median Age 33.4 years 38.0 years
Median Income $44,205 $81,500
Married Families 53.0% 37.0%
Poverty Level 17% 10%
Unemployment Rate 4.5 5.5

Population Comparison: Eubank vs Santa fe springs

  • The population in Santa fe springs is higher at 18,439, compared to 323 in Eubank.
  • The median age in Santa fe springs is higher at 38.0 years, compared to 33.4 years in Eubank.
  • Santa fe springs has a higher median income of $81,500, compared to $44,205 in Eubank.
  • A higher percentage of married families is found in Eubank at 53.0% compared to 37.0% in Santa fe springs.
  • Eubank has a higher poverty level at 17% compared to 10% in Santa fe springs.
  • Santa fe springs has a higher unemployment rate at 5.5% compared to 4.5% in Eubank.

Demographics

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

Demographic Eubank Santa fe springs
Black Data is updating 4
White 100 -5
Asian Data is updating 8
Hispanic Data is updating 75
Two or More Races Data is updating 15
American Indian Data is updating 3

Demographics Comparison: Eubank vs Santa fe springs

  • In Santa fe springs, the percentage of Black residents is higher at 4% compared to 0% in Eubank.
  • Eubank has a higher percentage of White residents at 100% compared to -5% in Santa fe springs.
  • In Santa fe springs, the Asian population stands at 8%, greater than 0% in Eubank.
  • Santa fe springs has a higher percentage of Hispanic residents at 75%, compared to 0% in Eubank.
  • The percentage of residents identifying as two or more races is higher in Santa fe springs at 15%, compared to 0% in Eubank.
  • In Santa fe springs, the percentage of American Indian residents is higher at 3%, compared to 0% in Eubank.

Health Statistics

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

Health Metric Eubank Santa fe springs
Mental Health Not Good 21.1% 14.9%
Physical Health Not Good 16.6% 11.7%
Depression 31.3% 15.1%
Smoking 25.6% 10.0%
Binge Drinking 14.0% 15.7%
Obesity 40.0% 30.9%
Disability Percentage 33.0% 10.0%

Health Statistics Comparison: Eubank vs Santa fe springs

  • More residents in Eubank report poor mental health at 21.1% compared to 14.9% in Santa fe springs.
  • Depression is more prevalent in Eubank at 31.3% compared to 15.1% in Santa fe springs.
  • Smoking is more prevalent in Eubank at 25.6% compared to 10.0% in Santa fe springs.
  • More residents engage in binge drinking in Santa fe springs at 15.7% compared to 14.0% in Eubank.
  • Obesity rates are higher in Eubank at 40.0% compared to 30.9% in Santa fe springs.
  • Disability percentages are higher in Eubank at 33.0% 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 Eubank Santa fe springs
No Schooling 0.0% (Data is updating) 3.5% (644)
High School Diploma 41.2% (133) 16.3% (3,011)
Less than High School 21.7% (70) 26.5% (4,883)
Bachelor's Degree and Higher 0.9% (3) 15.5% (2,850)

Education Levels Comparison: Eubank vs Santa fe springs

  • In Santa fe springs, a larger percentage of residents lack formal schooling at 3.5% compared to 0.0% in Eubank.
  • A higher percentage of residents in Eubank hold a high school diploma at 41.2% 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 21.7% in Eubank.
  • In Santa fe springs, a larger share of residents have a bachelor's degree or higher at 15.5% compared to 0.9% in Eubank.

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.