Demographics details for Marianna, AR vs Cypress inn, TN

Population Overview

Compare main population characteristics in Marianna, AR vs Cypress inn, TN.

Data Marianna Cypress inn
Population 3,432 149
Median Age 41.7 years 36.0 years
Median Income $21,057 $45,000
Married Families 16.0% 45.0%
Poverty Level 20% 12%
Unemployment Rate 5.2 3.5

Population Comparison: Marianna vs Cypress inn

  • In Marianna, the population is higher at 3,432, compared to 149 in Cypress inn.
  • Residents in Marianna have a higher median age of 41.7 years compared to 36.0 years in Cypress inn.
  • Cypress inn has a higher median income of $45,000, compared to $21,057 in Marianna.
  • In Cypress inn, the percentage of married families is higher at 45.0%, compared to 16.0% in Marianna.
  • Marianna has a higher poverty level at 20% compared to 12% in Cypress inn.
  • The unemployment rate in Marianna is higher at 5.2%, compared to 3.5% in Cypress inn.

Demographics

Demographics Marianna vs Cypress inn provide insight into the diversity of the communities to compare.

Demographic Marianna Cypress inn
Black 84 5
White 14 90
Asian Data is updating Data is updating
Hispanic Data is updating 3
Two or More Races 2 2
American Indian Data is updating Data is updating

Demographics Comparison: Marianna vs Cypress inn

  • A higher percentage of Black residents are in Marianna at 84% compared to 5% in Cypress inn.
  • The percentage of White residents is higher in Cypress inn at 90% compared to 14% in Marianna.
  • Both Marianna and Cypress inn have the same percentage of Asian residents at 0%.
  • Cypress inn has a higher percentage of Hispanic residents at 3%, compared to 0% in Marianna.
  • Both Marianna and Cypress inn have the same percentage of residents identifying as two or more races at 2%.
  • The percentage of American Indian residents is the same in both Marianna and Cypress inn at 0%.

Health Statistics

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

Health Metric Marianna Cypress inn
Mental Health Not Good 22.0% Data is updating%
Physical Health Not Good 17.6% Data is updating%
Depression 23.8% Data is updating%
Smoking 28.5% Data is updating%
Binge Drinking 10.9% Data is updating%
Obesity 49.3% Data is updating%
Disability Percentage 22.0% Data is updating%

Health Statistics Comparison: Marianna vs Cypress inn

  • More residents in Marianna report poor mental health at 22.0% compared to 0.0% in Cypress inn.
  • Depression is more prevalent in Marianna at 23.8% compared to 0.0% in Cypress inn.
  • Smoking is more prevalent in Marianna at 28.5% compared to 0.0% in Cypress inn.
  • Binge drinking is more common in Marianna at 10.9% compared to 0.0% in Cypress inn.
  • Obesity rates are higher in Marianna at 49.3% compared to 0.0% in Cypress inn.
  • Disability percentages are higher in Marianna at 22.0% compared to 0.0% in Cypress inn.

Education Levels

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

Education Level Marianna Cypress inn
No Schooling 0.3% (10) 0.0% (Data is updating)
High School Diploma 30.3% (1,041) 0.0% (Data is updating)
Less than High School 9.1% (312) 0.0% (Data is updating)
Bachelor's Degree and Higher 3.3% (113) 0.0% (Data is updating)

Education Levels Comparison: Marianna vs Cypress inn

  • A higher percentage of residents in Marianna have no formal schooling at 0.3% compared to 0.0% in Cypress inn.
  • A higher percentage of residents in Marianna hold a high school diploma at 30.3% compared to 0.0% in Cypress inn.
  • More residents in Marianna have less than a high school education at 9.1% compared to 0.0% in Cypress inn.
  • A higher percentage of residents in Marianna hold a bachelor's degree or higher at 3.3% compared to 0.0% in Cypress inn.

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.