Demographics details for Victoria, TX vs Santa fe springs, CA

Population Overview

Compare main population characteristics in Victoria, TX vs Santa fe springs, CA.

Data Victoria Santa fe springs
Population 65,372 18,439
Median Age 34.7 years 38.0 years
Median Income $64,832 $81,500
Married Families 36.0% 37.0%
Poverty Level 13% 10%
Unemployment Rate 4.8 5.5

Population Comparison: Victoria vs Santa fe springs

  • In Victoria, the population is higher at 65,372, compared to 18,439 in Santa fe springs.
  • The median age in Santa fe springs is higher at 38.0 years, compared to 34.7 years in Victoria.
  • Santa fe springs has a higher median income of $81,500, compared to $64,832 in Victoria.
  • In Santa fe springs, the percentage of married families is higher at 37.0%, compared to 36.0% in Victoria.
  • Victoria has a higher poverty level at 13% compared to 10% in Santa fe springs.
  • Santa fe springs has a higher unemployment rate at 5.5% compared to 4.8% in Victoria.

Demographics

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

Demographic Victoria Santa fe springs
Black 7 4
White 14 -5
Asian 2 8
Hispanic 56 75
Two or More Races 21 15
American Indian Data is updating 3

Demographics Comparison: Victoria vs Santa fe springs

  • A higher percentage of Black residents are in Victoria at 7% compared to 4% in Santa fe springs.
  • Victoria has a higher percentage of White residents at 14% compared to -5% in Santa fe springs.
  • In Santa fe springs, the Asian population stands at 8%, greater than 2% in Victoria.
  • Santa fe springs has a higher percentage of Hispanic residents at 75%, compared to 56% in Victoria.
  • More residents identify as two or more races in Victoria at 21% compared to 15% in Santa fe springs.
  • In Santa fe springs, the percentage of American Indian residents is higher at 3%, compared to 0% in Victoria.

Health Statistics

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

Health Metric Victoria Santa fe springs
Mental Health Not Good 18.0% 14.9%
Physical Health Not Good 13.1% 11.7%
Depression 23.2% 15.1%
Smoking 17.6% 10.0%
Binge Drinking 17.0% 15.7%
Obesity 41.7% 30.9%
Disability Percentage 15.0% 10.0%

Health Statistics Comparison: Victoria vs Santa fe springs

  • More residents in Victoria report poor mental health at 18.0% compared to 14.9% in Santa fe springs.
  • Depression is more prevalent in Victoria at 23.2% compared to 15.1% in Santa fe springs.
  • Smoking is more prevalent in Victoria at 17.6% compared to 10.0% in Santa fe springs.
  • Binge drinking is more common in Victoria at 17.0% compared to 15.7% in Santa fe springs.
  • Obesity rates are higher in Victoria at 41.7% compared to 30.9% in Santa fe springs.
  • Disability percentages are higher in Victoria at 15.0% 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 Victoria Santa fe springs
No Schooling 1.4% (904) 3.5% (644)
High School Diploma 16.1% (10,544) 16.3% (3,011)
Less than High School 21.7% (14,173) 26.5% (4,883)
Bachelor's Degree and Higher 12.4% (8,078) 15.5% (2,850)

Education Levels Comparison: Victoria vs Santa fe springs

  • In Santa fe springs, a larger percentage of residents lack formal schooling at 3.5% compared to 1.4% in Victoria.
  • In Santa fe springs, the rate of residents with high school diplomas is higher at 16.3% compared to 16.1% in Victoria.
  • 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 Victoria.
  • In Santa fe springs, a larger share of residents have a bachelor's degree or higher at 15.5% compared to 12.4% in Victoria.

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.