Demographics details for Kansas city, MO vs Sutherland, VA

Population Overview

Compare main population characteristics in Kansas city, MO vs Sutherland, VA.

Data Kansas city Sutherland
Population 509,297 2,000
Median Age 35.4 years 45.0 years
Median Income $65,256 $60,000
Married Families 32.0% 60.0%
Poverty Level 15% 10%
Unemployment Rate 4.3 5.0

Population Comparison: Kansas city vs Sutherland

  • In Kansas city, the population is higher at 509,297, compared to 2,000 in Sutherland.
  • The median age in Sutherland is higher at 45.0 years, compared to 35.4 years in Kansas city.
  • Kansas city has a higher median income of $65,256 compared to $60,000 in Sutherland.
  • In Sutherland, the percentage of married families is higher at 60.0%, compared to 32.0% in Kansas city.
  • Kansas city has a higher poverty level at 15% compared to 10% in Sutherland.
  • Sutherland has a higher unemployment rate at 5.0% compared to 4.3% in Kansas city.

Demographics

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

Demographic Kansas city Sutherland
Black 26 10
White 53 80
Asian 3 5
Hispanic 11 5
Two or More Races 7 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Kansas city vs Sutherland

  • A higher percentage of Black residents are in Kansas city at 26% compared to 10% in Sutherland.
  • The percentage of White residents is higher in Sutherland at 80% compared to 53% in Kansas city.
  • In Sutherland, the Asian population stands at 5%, greater than 3% in Kansas city.
  • The Hispanic community is larger in Kansas city at 11% compared to 5% in Sutherland.
  • More residents identify as two or more races in Kansas city at 7% compared to 0% in Sutherland.
  • The percentage of American Indian residents is the same in both Kansas city and Sutherland at 0%.

Health Statistics

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

Health Metric Kansas city Sutherland
Mental Health Not Good 18.0% Data is updating%
Physical Health Not Good 12.5% Data is updating%
Depression 21.7% Data is updating%
Smoking 18.7% Data is updating%
Binge Drinking 18.2% Data is updating%
Obesity 40.9% Data is updating%
Disability Percentage 12.0% Data is updating%

Health Statistics Comparison: Kansas city vs Sutherland

  • More residents in Kansas city report poor mental health at 18.0% compared to 0.0% in Sutherland.
  • Depression is more prevalent in Kansas city at 21.7% compared to 0.0% in Sutherland.
  • Smoking is more prevalent in Kansas city at 18.7% compared to 0.0% in Sutherland.
  • Binge drinking is more common in Kansas city at 18.2% compared to 0.0% in Sutherland.
  • Obesity rates are higher in Kansas city at 40.9% compared to 0.0% in Sutherland.
  • Disability percentages are higher in Kansas city at 12.0% 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 Kansas city Sutherland
No Schooling 1.0% (4,964) 0.0% (Data is updating)
High School Diploma 14.5% (73,825) 0.0% (Data is updating)
Less than High School 9.4% (47,724) 0.0% (Data is updating)
Bachelor's Degree and Higher 25.1% (128,008) 0.0% (Data is updating)

Education Levels Comparison: Kansas city vs Sutherland

  • A higher percentage of residents in Kansas city have no formal schooling at 1.0% compared to 0.0% in Sutherland.
  • A higher percentage of residents in Kansas city hold a high school diploma at 14.5% compared to 0.0% in Sutherland.
  • More residents in Kansas city have less than a high school education at 9.4% compared to 0.0% in Sutherland.
  • A higher percentage of residents in Kansas city hold a bachelor's degree or higher at 25.1% 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.