Demographics details for Smith center, KS vs Baskerville, VA

Population Overview

Compare main population characteristics in Smith center, KS vs Baskerville, VA.

Data Smith center Baskerville
Population 1,561 231
Median Age 46.6 years 20.6 years
Median Income $49,444 $66,591
Married Families 43.0% 34.0%
Poverty Level 10% Data is updating
Unemployment Rate 3.2 4.5

Population Comparison: Smith center vs Baskerville

  • In Smith center, the population is higher at 1,561, compared to 231 in Baskerville.
  • Residents in Smith center have a higher median age of 46.6 years compared to 20.6 years in Baskerville.
  • Baskerville has a higher median income of $66,591, compared to $49,444 in Smith center.
  • A higher percentage of married families is found in Smith center at 43.0% compared to 34.0% in Baskerville.
  • Smith center has a higher poverty level at 10% compared to 0% in Baskerville.
  • Baskerville has a higher unemployment rate at 4.5% compared to 3.2% in Smith center.

Demographics

Demographics Smith center vs Baskerville provide insight into the diversity of the communities to compare.

Demographic Smith center Baskerville
Black 1 57
White 94 43
Asian Data is updating Data is updating
Hispanic 3 Data is updating
Two or More Races 2 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Smith center vs Baskerville

  • In Baskerville, the percentage of Black residents is higher at 57% compared to 1% in Smith center.
  • Smith center has a higher percentage of White residents at 94% compared to 43% in Baskerville.
  • Both Smith center and Baskerville have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Smith center at 3% compared to 0% in Baskerville.
  • More residents identify as two or more races in Smith center at 2% compared to 0% in Baskerville.
  • The percentage of American Indian residents is the same in both Smith center and Baskerville at 0%.

Health Statistics

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

Health Metric Smith center Baskerville
Mental Health Not Good 16.7% 19.3%
Physical Health Not Good 10.8% 13.2%
Depression 21.7% 24.6%
Smoking 19.2% 21.3%
Binge Drinking 19.0% 15.5%
Obesity 38.8% 40.3%
Disability Percentage 15.0% 10.0%

Health Statistics Comparison: Smith center vs Baskerville

  • In Baskerville, a higher percentage report poor mental health at 19.3% compared to 16.7% in Smith center.
  • Higher depression rates are seen in Baskerville at 24.6% versus 21.7% in Smith center.
  • Baskerville has a higher smoking rate at 21.3% compared to 19.2% in Smith center.
  • Binge drinking is more common in Smith center at 19.0% compared to 15.5% in Baskerville.
  • Baskerville has higher obesity rates at 40.3% compared to 38.8% in Smith center.
  • Disability percentages are higher in Smith center at 15.0% compared to 10.0% in Baskerville.

Education Levels

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

Education Level Smith center Baskerville
No Schooling 0.2% (3) 0.0% (Data is updating)
High School Diploma 29.4% (459) 28.6% (66)
Less than High School 7.6% (118) 0.4% (1)
Bachelor's Degree and Higher 14.8% (231) 0.0% (Data is updating)

Education Levels Comparison: Smith center vs Baskerville

  • A higher percentage of residents in Smith center have no formal schooling at 0.2% compared to 0.0% in Baskerville.
  • A higher percentage of residents in Smith center hold a high school diploma at 29.4% compared to 28.6% in Baskerville.
  • More residents in Smith center have less than a high school education at 7.6% compared to 0.4% in Baskerville.
  • A higher percentage of residents in Smith center hold a bachelor's degree or higher at 14.8% compared to 0.0% in Baskerville.

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.