Demographics details for Shreveport, LA vs Sutherland, VA

Population Overview

Compare main population characteristics in Shreveport, LA vs Sutherland, VA.

Data Shreveport Sutherland
Population 180,153 2,000
Median Age 37.1 years 45.0 years
Median Income $45,967 $60,000
Married Families 29.0% 60.0%
Poverty Level 21% 10%
Unemployment Rate 5.0 5.0

Population Comparison: Shreveport vs Sutherland

  • In Shreveport, the population is higher at 180,153, compared to 2,000 in Sutherland.
  • The median age in Sutherland is higher at 45.0 years, compared to 37.1 years in Shreveport.
  • Sutherland has a higher median income of $60,000, compared to $45,967 in Shreveport.
  • In Sutherland, the percentage of married families is higher at 60.0%, compared to 29.0% in Shreveport.
  • Shreveport has a higher poverty level at 21% compared to 10% in Sutherland.
  • The unemployment rate is the same in both Shreveport and Sutherland at 5.0%.

Demographics

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

Demographic Shreveport Sutherland
Black 58 10
White 33 80
Asian 2 5
Hispanic 3 5
Two or More Races 4 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Shreveport vs Sutherland

  • A higher percentage of Black residents are in Shreveport at 58% compared to 10% in Sutherland.
  • The percentage of White residents is higher in Sutherland at 80% compared to 33% in Shreveport.
  • In Sutherland, the Asian population stands at 5%, greater than 2% in Shreveport.
  • Sutherland has a higher percentage of Hispanic residents at 5%, compared to 3% in Shreveport.
  • More residents identify as two or more races in Shreveport at 4% compared to 0% in Sutherland.
  • The percentage of American Indian residents is the same in both Shreveport and Sutherland at 0%.

Health Statistics

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

Health Metric Shreveport Sutherland
Mental Health Not Good 20.2% Data is updating%
Physical Health Not Good 14.4% Data is updating%
Depression 24.4% Data is updating%
Smoking 24.3% Data is updating%
Binge Drinking 16.2% Data is updating%
Obesity 42.5% Data is updating%
Disability Percentage 16.0% Data is updating%

Health Statistics Comparison: Shreveport vs Sutherland

  • More residents in Shreveport report poor mental health at 20.2% compared to 0.0% in Sutherland.
  • Depression is more prevalent in Shreveport at 24.4% compared to 0.0% in Sutherland.
  • Smoking is more prevalent in Shreveport at 24.3% compared to 0.0% in Sutherland.
  • Binge drinking is more common in Shreveport at 16.2% compared to 0.0% in Sutherland.
  • Obesity rates are higher in Shreveport at 42.5% compared to 0.0% in Sutherland.
  • Disability percentages are higher in Shreveport at 16.0% 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 Shreveport Sutherland
No Schooling 1.2% (2,087) 0.0% (Data is updating)
High School Diploma 18.3% (33,032) 0.0% (Data is updating)
Less than High School 11.1% (20,070) 0.0% (Data is updating)
Bachelor's Degree and Higher 18.6% (33,461) 0.0% (Data is updating)

Education Levels Comparison: Shreveport vs Sutherland

  • A higher percentage of residents in Shreveport have no formal schooling at 1.2% compared to 0.0% in Sutherland.
  • A higher percentage of residents in Shreveport hold a high school diploma at 18.3% compared to 0.0% in Sutherland.
  • More residents in Shreveport have less than a high school education at 11.1% compared to 0.0% in Sutherland.
  • A higher percentage of residents in Shreveport hold a bachelor's degree or higher at 18.6% 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.