Demographics details for Oxford, AL vs San bernardino, CA

Population Overview

Compare main population characteristics in Oxford, AL vs San bernardino, CA.

Data Oxford San bernardino
Population 22,002 220,328
Median Age 37.4 years 31.2 years
Median Income $66,031 $61,323
Married Families 37.0% 29.0%
Poverty Level 10% 23%
Unemployment Rate 3.5 6.4

Population Comparison: Oxford vs San bernardino

  • The population in San bernardino is higher at 220,328, compared to 22,002 in Oxford.
  • Residents in Oxford have a higher median age of 37.4 years compared to 31.2 years in San bernardino.
  • Oxford has a higher median income of $66,031 compared to $61,323 in San bernardino.
  • A higher percentage of married families is found in Oxford at 37.0% compared to 29.0% in San bernardino.
  • The poverty level is higher in San bernardino at 23%, compared to 10% in Oxford.
  • San bernardino has a higher unemployment rate at 6.4% compared to 3.5% in Oxford.

Demographics

Demographics Oxford vs San bernardino provide insight into the diversity of the communities to compare.

Demographic Oxford San bernardino
Black 16 12
White 73 2
Asian 1 4
Hispanic 7 68
Two or More Races 3 13
American Indian Data is updating 1

Demographics Comparison: Oxford vs San bernardino

  • A higher percentage of Black residents are in Oxford at 16% compared to 12% in San bernardino.
  • Oxford has a higher percentage of White residents at 73% compared to 2% in San bernardino.
  • In San bernardino, the Asian population stands at 4%, greater than 1% in Oxford.
  • San bernardino has a higher percentage of Hispanic residents at 68%, compared to 7% in Oxford.
  • The percentage of residents identifying as two or more races is higher in San bernardino at 13%, compared to 3% in Oxford.
  • In San bernardino, the percentage of American Indian residents is higher at 1%, compared to 0% in Oxford.

Health Statistics

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

Health Metric Oxford San bernardino
Mental Health Not Good 18.8% 19.0%
Physical Health Not Good 13.2% 15.8%
Depression 23.8% 19.1%
Smoking 19.8% 17.2%
Binge Drinking 15.1% 13.9%
Obesity 37.4% 42.9%
Disability Percentage 19.0% 12.0%

Health Statistics Comparison: Oxford vs San bernardino

  • In San bernardino, a higher percentage report poor mental health at 19.0% compared to 18.8% in Oxford.
  • Depression is more prevalent in Oxford at 23.8% compared to 19.1% in San bernardino.
  • Smoking is more prevalent in Oxford at 19.8% compared to 17.2% in San bernardino.
  • Binge drinking is more common in Oxford at 15.1% compared to 13.9% in San bernardino.
  • San bernardino has higher obesity rates at 42.9% compared to 37.4% in Oxford.
  • Disability percentages are higher in Oxford at 19.0% compared to 12.0% in San bernardino.

Education Levels

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

Education Level Oxford San bernardino
No Schooling 1.4% (306) 2.5% (5,419)
High School Diploma 16.1% (3,534) 17.6% (38,770)
Less than High School 17.9% (3,933) 31.2% (68,813)
Bachelor's Degree and Higher 16.5% (3,625) 7.7% (17,071)

Education Levels Comparison: Oxford vs San bernardino

  • In San bernardino, a larger percentage of residents lack formal schooling at 2.5% compared to 1.4% in Oxford.
  • In San bernardino, the rate of residents with high school diplomas is higher at 17.6% compared to 16.1% in Oxford.
  • The percentage of residents with less than a high school education is higher in San bernardino at 31.2%, compared to 17.9% in Oxford.
  • A higher percentage of residents in Oxford hold a bachelor's degree or higher at 16.5% compared to 7.7% in San bernardino.

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.