Demographics details for Oxford, AL vs Morris chapel, TN

Population Overview

Compare main population characteristics in Oxford, AL vs Morris chapel, TN.

Data Oxford Morris chapel
Population 22,002 178
Median Age 37.4 years 37.0 years
Median Income $66,031 $50,000
Married Families 37.0% 50.0%
Poverty Level 10% 13%
Unemployment Rate 3.5 4.5

Population Comparison: Oxford vs Morris chapel

  • In Oxford, the population is higher at 22,002, compared to 178 in Morris chapel.
  • Residents in Oxford have a higher median age of 37.4 years compared to 37.0 years in Morris chapel.
  • Oxford has a higher median income of $66,031 compared to $50,000 in Morris chapel.
  • In Morris chapel, the percentage of married families is higher at 50.0%, compared to 37.0% in Oxford.
  • The poverty level is higher in Morris chapel at 13%, compared to 10% in Oxford.
  • Morris chapel has a higher unemployment rate at 4.5% compared to 3.5% in Oxford.

Demographics

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

Demographic Oxford Morris chapel
Black 16 2
White 73 96
Asian 1 Data is updating
Hispanic 7 2
Two or More Races 3 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Oxford vs Morris chapel

  • A higher percentage of Black residents are in Oxford at 16% compared to 2% in Morris chapel.
  • The percentage of White residents is higher in Morris chapel at 96% compared to 73% in Oxford.
  • The Asian population is larger in Oxford at 1% compared to 0% in Morris chapel.
  • The Hispanic community is larger in Oxford at 7% compared to 2% in Morris chapel.
  • More residents identify as two or more races in Oxford at 3% compared to 0% in Morris chapel.
  • The percentage of American Indian residents is the same in both Oxford and Morris chapel at 0%.

Health Statistics

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

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

Health Statistics Comparison: Oxford vs Morris chapel

  • More residents in Oxford report poor mental health at 18.8% compared to 0.0% in Morris chapel.
  • Depression is more prevalent in Oxford at 23.8% compared to 0.0% in Morris chapel.
  • Smoking is more prevalent in Oxford at 19.8% compared to 0.0% in Morris chapel.
  • Binge drinking is more common in Oxford at 15.1% compared to 0.0% in Morris chapel.
  • Obesity rates are higher in Oxford at 37.4% compared to 0.0% in Morris chapel.
  • Disability percentages are higher in Oxford at 19.0% compared to 0.0% in Morris chapel.

Education Levels

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

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

Education Levels Comparison: Oxford vs Morris chapel

  • A higher percentage of residents in Oxford have no formal schooling at 1.4% compared to 0.0% in Morris chapel.
  • A higher percentage of residents in Oxford hold a high school diploma at 16.1% compared to 0.0% in Morris chapel.
  • More residents in Oxford have less than a high school education at 17.9% compared to 0.0% in Morris chapel.
  • A higher percentage of residents in Oxford hold a bachelor's degree or higher at 16.5% compared to 0.0% in Morris chapel.

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.