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

Population Overview

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

Data Santa fe springs Winona
Population 18,439 4,159
Median Age 38.0 years 33.7 years
Median Income $81,500 $26,250
Married Families 37.0% 21.0%
Poverty Level 10% 24%
Unemployment Rate 5.5 3.6

Population Comparison: Santa fe springs vs Winona

  • In Santa fe springs, the population is higher at 18,439, compared to 4,159 in Winona.
  • Residents in Santa fe springs have a higher median age of 38.0 years compared to 33.7 years in Winona.
  • Santa fe springs has a higher median income of $81,500 compared to $26,250 in Winona.
  • A higher percentage of married families is found in Santa fe springs at 37.0% compared to 21.0% in Winona.
  • The poverty level is higher in Winona at 24%, compared to 10% in Santa fe springs.
  • The unemployment rate in Santa fe springs is higher at 5.5%, compared to 3.6% in Winona.

Demographics

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

Demographic Santa fe springs Winona
Black 4 62
White -5 38
Asian 8 Data is updating
Hispanic 75 Data is updating
Two or More Races 15 Data is updating
American Indian 3 Data is updating

Demographics Comparison: Santa fe springs vs Winona

  • In Winona, the percentage of Black residents is higher at 62% compared to 4% in Santa fe springs.
  • The percentage of White residents is higher in Winona at 38% compared to -5% in Santa fe springs.
  • The Asian population is larger in Santa fe springs at 8% compared to 0% in Winona.
  • The Hispanic community is larger in Santa fe springs at 75% compared to 0% in Winona.
  • More residents identify as two or more races in Santa fe springs at 15% compared to 0% in Winona.
  • A greater percentage of American Indian residents live in Santa fe springs at 3% compared to 0% in Winona.

Health Statistics

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

Health Metric Santa fe springs Winona
Mental Health Not Good 14.9% 19.3%
Physical Health Not Good 11.7% 15.0%
Depression 15.1% 22.3%
Smoking 10.0% 24.8%
Binge Drinking 15.7% 11.8%
Obesity 30.9% 46.4%
Disability Percentage 10.0% 25.0%

Health Statistics Comparison: Santa fe springs vs Winona

  • In Winona, a higher percentage report poor mental health at 19.3% compared to 14.9% in Santa fe springs.
  • Higher depression rates are seen in Winona at 22.3% versus 15.1% in Santa fe springs.
  • Winona has a higher smoking rate at 24.8% compared to 10.0% in Santa fe springs.
  • Binge drinking is more common in Santa fe springs at 15.7% compared to 11.8% in Winona.
  • Winona has higher obesity rates at 46.4% compared to 30.9% in Santa fe springs.
  • There is a higher percentage of disabled individuals in Winona at 25.0% 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 Santa fe springs Winona
No Schooling 3.5% (644) 2.1% (87)
High School Diploma 16.3% (3,011) 11.4% (473)
Less than High School 26.5% (4,883) 28.5% (1,186)
Bachelor's Degree and Higher 15.5% (2,850) 9.3% (388)

Education Levels Comparison: Santa fe springs vs Winona

  • A higher percentage of residents in Santa fe springs have no formal schooling at 3.5% compared to 2.1% in Winona.
  • A higher percentage of residents in Santa fe springs hold a high school diploma at 16.3% compared to 11.4% in Winona.
  • The percentage of residents with less than a high school education is higher in Winona at 28.5%, compared to 26.5% in Santa fe springs.
  • A higher percentage of residents in Santa fe springs hold a bachelor's degree or higher at 15.5% compared to 9.3% in Winona.

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.