Demographics details for Hamburg, AR vs Santa fe springs, CA

Population Overview

Compare main population characteristics in Hamburg, AR vs Santa fe springs, CA.

Data Hamburg Santa fe springs
Population 2,430 18,439
Median Age 38.5 years 38.0 years
Median Income $30,134 $81,500
Married Families 38.0% 37.0%
Poverty Level 24% 10%
Unemployment Rate 5.0 5.5

Population Comparison: Hamburg vs Santa fe springs

  • The population in Santa fe springs is higher at 18,439, compared to 2,430 in Hamburg.
  • Residents in Hamburg have a higher median age of 38.5 years compared to 38.0 years in Santa fe springs.
  • Santa fe springs has a higher median income of $81,500, compared to $30,134 in Hamburg.
  • A higher percentage of married families is found in Hamburg at 38.0% compared to 37.0% in Santa fe springs.
  • Hamburg has a higher poverty level at 24% compared to 10% in Santa fe springs.
  • Santa fe springs has a higher unemployment rate at 5.5% compared to 5.0% in Hamburg.

Demographics

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

Demographic Hamburg Santa fe springs
Black 29 4
White 48 -5
Asian Data is updating 8
Hispanic 16 75
Two or More Races 7 15
American Indian Data is updating 3

Demographics Comparison: Hamburg vs Santa fe springs

  • A higher percentage of Black residents are in Hamburg at 29% compared to 4% in Santa fe springs.
  • Hamburg has a higher percentage of White residents at 48% compared to -5% in Santa fe springs.
  • In Santa fe springs, the Asian population stands at 8%, greater than 0% in Hamburg.
  • Santa fe springs has a higher percentage of Hispanic residents at 75%, compared to 16% in Hamburg.
  • The percentage of residents identifying as two or more races is higher in Santa fe springs at 15%, compared to 7% in Hamburg.
  • In Santa fe springs, the percentage of American Indian residents is higher at 3%, compared to 0% in Hamburg.

Health Statistics

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

Health Metric Hamburg Santa fe springs
Mental Health Not Good 20.1% 14.9%
Physical Health Not Good 15.7% 11.7%
Depression 26.2% 15.1%
Smoking 24.3% 10.0%
Binge Drinking 13.3% 15.7%
Obesity 41.9% 30.9%
Disability Percentage 25.0% 10.0%

Health Statistics Comparison: Hamburg vs Santa fe springs

  • More residents in Hamburg report poor mental health at 20.1% compared to 14.9% in Santa fe springs.
  • Depression is more prevalent in Hamburg at 26.2% compared to 15.1% in Santa fe springs.
  • Smoking is more prevalent in Hamburg at 24.3% compared to 10.0% in Santa fe springs.
  • More residents engage in binge drinking in Santa fe springs at 15.7% compared to 13.3% in Hamburg.
  • Obesity rates are higher in Hamburg at 41.9% compared to 30.9% in Santa fe springs.
  • Disability percentages are higher in Hamburg 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 Hamburg Santa fe springs
No Schooling 1.2% (30) 3.5% (644)
High School Diploma 27.7% (673) 16.3% (3,011)
Less than High School 24.4% (594) 26.5% (4,883)
Bachelor's Degree and Higher 8.7% (212) 15.5% (2,850)

Education Levels Comparison: Hamburg vs Santa fe springs

  • In Santa fe springs, a larger percentage of residents lack formal schooling at 3.5% compared to 1.2% in Hamburg.
  • A higher percentage of residents in Hamburg hold a high school diploma at 27.7% 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 24.4% in Hamburg.
  • In Santa fe springs, a larger share of residents have a bachelor's degree or higher at 15.5% compared to 8.7% in Hamburg.

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.