Demographics details for Christiansburg, VA vs Bluefield, WV

Population Overview

Compare main population characteristics in Christiansburg, VA vs Bluefield, WV.

Data Christiansburg Bluefield
Population 22,562 9,408
Median Age 39.1 years 43.9 years
Median Income $71,468 $45,854
Married Families 45.0% 36.0%
Poverty Level 9% 12%
Unemployment Rate 3.2 3.1

Population Comparison: Christiansburg vs Bluefield

  • In Christiansburg, the population is higher at 22,562, compared to 9,408 in Bluefield.
  • The median age in Bluefield is higher at 43.9 years, compared to 39.1 years in Christiansburg.
  • Christiansburg has a higher median income of $71,468 compared to $45,854 in Bluefield.
  • A higher percentage of married families is found in Christiansburg at 45.0% compared to 36.0% in Bluefield.
  • The poverty level is higher in Bluefield at 12%, compared to 9% in Christiansburg.
  • The unemployment rate in Christiansburg is higher at 3.2%, compared to 3.1% in Bluefield.

Demographics

Demographics Christiansburg vs Bluefield provide insight into the diversity of the communities to compare.

Demographic Christiansburg Bluefield
Black 5 23
White 84 66
Asian 4 Data is updating
Hispanic 3 3
Two or More Races 4 8
American Indian Data is updating Data is updating

Demographics Comparison: Christiansburg vs Bluefield

  • In Bluefield, the percentage of Black residents is higher at 23% compared to 5% in Christiansburg.
  • Christiansburg has a higher percentage of White residents at 84% compared to 66% in Bluefield.
  • The Asian population is larger in Christiansburg at 4% compared to 0% in Bluefield.
  • The percentage of Hispanic residents is the same in both Christiansburg and Bluefield at 3%.
  • The percentage of residents identifying as two or more races is higher in Bluefield at 8%, compared to 4% in Christiansburg.
  • The percentage of American Indian residents is the same in both Christiansburg and Bluefield at 0%.

Health Statistics

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

Health Metric Christiansburg Bluefield
Mental Health Not Good 16.1% 22.1%
Physical Health Not Good 9.9% 15.9%
Depression 25.8% 28.4%
Smoking 14.4% 21.4%
Binge Drinking 19.2% 12.0%
Obesity 30.3% 46.3%
Disability Percentage 17.0% 27.0%

Health Statistics Comparison: Christiansburg vs Bluefield

  • In Bluefield, a higher percentage report poor mental health at 22.1% compared to 16.1% in Christiansburg.
  • Higher depression rates are seen in Bluefield at 28.4% versus 25.8% in Christiansburg.
  • Bluefield has a higher smoking rate at 21.4% compared to 14.4% in Christiansburg.
  • Binge drinking is more common in Christiansburg at 19.2% compared to 12.0% in Bluefield.
  • Bluefield has higher obesity rates at 46.3% compared to 30.3% in Christiansburg.
  • There is a higher percentage of disabled individuals in Bluefield at 27.0% compared to 17.0% in Christiansburg.

Education Levels

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

Education Level Christiansburg Bluefield
No Schooling 0.3% (66) 0.2% (21)
High School Diploma 14.0% (3,152) 19.0% (1,788)
Less than High School 8.1% (1,827) 16.0% (1,505)
Bachelor's Degree and Higher 31.9% (7,193) 19.4% (1,826)

Education Levels Comparison: Christiansburg vs Bluefield

  • A higher percentage of residents in Christiansburg have no formal schooling at 0.3% compared to 0.2% in Bluefield.
  • In Bluefield, the rate of residents with high school diplomas is higher at 19.0% compared to 14.0% in Christiansburg.
  • The percentage of residents with less than a high school education is higher in Bluefield at 16.0%, compared to 8.1% in Christiansburg.
  • A higher percentage of residents in Christiansburg hold a bachelor's degree or higher at 31.9% compared to 19.4% in Bluefield.

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.