Demographics details for Sutherland, VA vs Charlotte, TN

Population Overview

Compare main population characteristics in Sutherland, VA vs Charlotte, TN.

Data Sutherland Charlotte
Population 2,000 1,674
Median Age 45.0 years 36.8 years
Median Income $60,000 $57,188
Married Families 60.0% 46.0%
Poverty Level 10% 14%
Unemployment Rate 5.0 4.3

Population Comparison: Sutherland vs Charlotte

  • In Sutherland, the population is higher at 2,000, compared to 1,674 in Charlotte.
  • Residents in Sutherland have a higher median age of 45.0 years compared to 36.8 years in Charlotte.
  • Sutherland has a higher median income of $60,000 compared to $57,188 in Charlotte.
  • A higher percentage of married families is found in Sutherland at 60.0% compared to 46.0% in Charlotte.
  • The poverty level is higher in Charlotte at 14%, compared to 10% in Sutherland.
  • The unemployment rate in Sutherland is higher at 5.0%, compared to 4.3% in Charlotte.

Demographics

Demographics Sutherland vs Charlotte provide insight into the diversity of the communities to compare.

Demographic Sutherland Charlotte
Black 10 6
White 80 82
Asian 5 Data is updating
Hispanic 5 4
Two or More Races Data is updating 6
American Indian Data is updating 2

Demographics Comparison: Sutherland vs Charlotte

  • A higher percentage of Black residents are in Sutherland at 10% compared to 6% in Charlotte.
  • The percentage of White residents is higher in Charlotte at 82% compared to 80% in Sutherland.
  • The Asian population is larger in Sutherland at 5% compared to 0% in Charlotte.
  • The Hispanic community is larger in Sutherland at 5% compared to 4% in Charlotte.
  • The percentage of residents identifying as two or more races is higher in Charlotte at 6%, compared to 0% in Sutherland.
  • In Charlotte, the percentage of American Indian residents is higher at 2%, compared to 0% in Sutherland.

Health Statistics

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

Health Metric Sutherland Charlotte
Mental Health Not Good Data is updating% 20.3%
Physical Health Not Good Data is updating% 14.7%
Depression Data is updating% 28.8%
Smoking Data is updating% 25.3%
Binge Drinking Data is updating% 16.0%
Obesity Data is updating% 38.9%
Disability Percentage Data is updating% 27.0%

Health Statistics Comparison: Sutherland vs Charlotte

  • In Charlotte, a higher percentage report poor mental health at 20.3% compared to 0.0% in Sutherland.
  • Higher depression rates are seen in Charlotte at 28.8% versus 0.0% in Sutherland.
  • Charlotte has a higher smoking rate at 25.3% compared to 0.0% in Sutherland.
  • More residents engage in binge drinking in Charlotte at 16.0% compared to 0.0% in Sutherland.
  • Charlotte has higher obesity rates at 38.9% compared to 0.0% in Sutherland.
  • There is a higher percentage of disabled individuals in Charlotte at 27.0% compared to 0.0% in Sutherland.

Education Levels

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

Education Level Sutherland Charlotte
No Schooling 0.0% (Data is updating) 0.4% (6)
High School Diploma 0.0% (Data is updating) 25.3% (424)
Less than High School 0.0% (Data is updating) 26.0% (436)
Bachelor's Degree and Higher 0.0% (Data is updating) 9.9% (166)

Education Levels Comparison: Sutherland vs Charlotte

  • In Charlotte, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Sutherland.
  • In Charlotte, the rate of residents with high school diplomas is higher at 25.3% compared to 0.0% in Sutherland.
  • The percentage of residents with less than a high school education is higher in Charlotte at 26.0%, compared to 0.0% in Sutherland.
  • In Charlotte, a larger share of residents have a bachelor's degree or higher at 9.9% compared to 0.0% in Sutherland.

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.