Demographics details for Sutherland, VA vs Charlotte, NC

Population Overview

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

Data Sutherland Charlotte
Population 2,000 897,720
Median Age 45.0 years 34.5 years
Median Income $60,000 $74,070
Married Families 60.0% 33.0%
Poverty Level 10% 12%
Unemployment Rate 5.0 4.0

Population Comparison: Sutherland vs Charlotte

  • The population in Charlotte is higher at 897,720, compared to 2,000 in Sutherland.
  • Residents in Sutherland have a higher median age of 45.0 years compared to 34.5 years in Charlotte.
  • Charlotte has a higher median income of $74,070, compared to $60,000 in Sutherland.
  • A higher percentage of married families is found in Sutherland at 60.0% compared to 33.0% in Charlotte.
  • The poverty level is higher in Charlotte at 12%, compared to 10% in Sutherland.
  • The unemployment rate in Sutherland is higher at 5.0%, compared to 4.0% in Charlotte.

Demographics

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

Demographic Sutherland Charlotte
Black 10 34
White 80 38
Asian 5 6
Hispanic 5 15
Two or More Races Data is updating 7
American Indian Data is updating Data is updating

Demographics Comparison: Sutherland vs Charlotte

  • In Charlotte, the percentage of Black residents is higher at 34% compared to 10% in Sutherland.
  • Sutherland has a higher percentage of White residents at 80% compared to 38% in Charlotte.
  • In Charlotte, the Asian population stands at 6%, greater than 5% in Sutherland.
  • Charlotte has a higher percentage of Hispanic residents at 15%, compared to 5% in Sutherland.
  • The percentage of residents identifying as two or more races is higher in Charlotte at 7%, compared to 0% in Sutherland.
  • The percentage of American Indian residents is the same in both Sutherland and Charlotte at 0%.

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% 14.7%
Physical Health Not Good Data is updating% 10.1%
Depression Data is updating% 20.1%
Smoking Data is updating% 13.9%
Binge Drinking Data is updating% 17.5%
Obesity Data is updating% 34.7%
Disability Percentage Data is updating% 8.0%

Health Statistics Comparison: Sutherland vs Charlotte

  • In Charlotte, a higher percentage report poor mental health at 14.7% compared to 0.0% in Sutherland.
  • Higher depression rates are seen in Charlotte at 20.1% versus 0.0% in Sutherland.
  • Charlotte has a higher smoking rate at 13.9% compared to 0.0% in Sutherland.
  • More residents engage in binge drinking in Charlotte at 17.5% compared to 0.0% in Sutherland.
  • Charlotte has higher obesity rates at 34.7% compared to 0.0% in Sutherland.
  • There is a higher percentage of disabled individuals in Charlotte at 8.0% 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) 1.2% (10,429)
High School Diploma 0.0% (Data is updating) 9.4% (84,002)
Less than High School 0.0% (Data is updating) 10.7% (95,990)
Bachelor's Degree and Higher 0.0% (Data is updating) 30.6% (274,311)

Education Levels Comparison: Sutherland vs Charlotte

  • In Charlotte, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Sutherland.
  • In Charlotte, the rate of residents with high school diplomas is higher at 9.4% compared to 0.0% in Sutherland.
  • The percentage of residents with less than a high school education is higher in Charlotte at 10.7%, compared to 0.0% in Sutherland.
  • In Charlotte, a larger share of residents have a bachelor's degree or higher at 30.6% 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.