Demographics details for Burlington, WV vs Oxford, AL

Population Overview

Compare main population characteristics in Burlington, WV vs Oxford, AL.

Data Burlington Oxford
Population 182 22,002
Median Age 35.0 years 37.4 years
Median Income $50,000 $66,031
Married Families 40.0% 37.0%
Poverty Level 15% 10%
Unemployment Rate 5.0 3.5

Population Comparison: Burlington vs Oxford

  • The population in Oxford is higher at 22,002, compared to 182 in Burlington.
  • The median age in Oxford is higher at 37.4 years, compared to 35.0 years in Burlington.
  • Oxford has a higher median income of $66,031, compared to $50,000 in Burlington.
  • A higher percentage of married families is found in Burlington at 40.0% compared to 37.0% in Oxford.
  • Burlington has a higher poverty level at 15% compared to 10% in Oxford.
  • The unemployment rate in Burlington is higher at 5.0%, compared to 3.5% in Oxford.

Demographics

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

Demographic Burlington Oxford
Black Data is updating 16
White 100 73
Asian Data is updating 1
Hispanic Data is updating 7
Two or More Races Data is updating 3
American Indian Data is updating Data is updating

Demographics Comparison: Burlington vs Oxford

  • In Oxford, the percentage of Black residents is higher at 16% compared to 0% in Burlington.
  • Burlington has a higher percentage of White residents at 100% compared to 73% in Oxford.
  • In Oxford, the Asian population stands at 1%, greater than 0% in Burlington.
  • Oxford has a higher percentage of Hispanic residents at 7%, compared to 0% in Burlington.
  • The percentage of residents identifying as two or more races is higher in Oxford at 3%, compared to 0% in Burlington.
  • The percentage of American Indian residents is the same in both Burlington and Oxford at 0%.

Health Statistics

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

Health Metric Burlington Oxford
Mental Health Not Good Data is updating% 18.8%
Physical Health Not Good Data is updating% 13.2%
Depression Data is updating% 23.8%
Smoking Data is updating% 19.8%
Binge Drinking Data is updating% 15.1%
Obesity Data is updating% 37.4%
Disability Percentage Data is updating% 19.0%

Health Statistics Comparison: Burlington vs Oxford

  • In Oxford, a higher percentage report poor mental health at 18.8% compared to 0.0% in Burlington.
  • Higher depression rates are seen in Oxford at 23.8% versus 0.0% in Burlington.
  • Oxford has a higher smoking rate at 19.8% compared to 0.0% in Burlington.
  • More residents engage in binge drinking in Oxford at 15.1% compared to 0.0% in Burlington.
  • Oxford has higher obesity rates at 37.4% compared to 0.0% in Burlington.
  • There is a higher percentage of disabled individuals in Oxford at 19.0% compared to 0.0% in Burlington.

Education Levels

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

Education Level Burlington Oxford
No Schooling 0.0% (Data is updating) 1.4% (306)
High School Diploma 0.0% (Data is updating) 16.1% (3,534)
Less than High School 0.0% (Data is updating) 17.9% (3,933)
Bachelor's Degree and Higher 0.0% (Data is updating) 16.5% (3,625)

Education Levels Comparison: Burlington vs Oxford

  • In Oxford, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Burlington.
  • In Oxford, the rate of residents with high school diplomas is higher at 16.1% compared to 0.0% in Burlington.
  • The percentage of residents with less than a high school education is higher in Oxford at 17.9%, compared to 0.0% in Burlington.
  • In Oxford, a larger share of residents have a bachelor's degree or higher at 16.5% compared to 0.0% in Burlington.

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.