Demographics details for Christiansburg, VA vs Picayune, MS

Population Overview

Compare main population characteristics in Christiansburg, VA vs Picayune, MS.

Data Christiansburg Picayune
Population 22,562 11,826
Median Age 39.1 years 38.3 years
Median Income $71,468 $35,649
Married Families 45.0% 27.0%
Poverty Level 9% 21%
Unemployment Rate 3.2 4.5

Population Comparison: Christiansburg vs Picayune

  • In Christiansburg, the population is higher at 22,562, compared to 11,826 in Picayune.
  • Residents in Christiansburg have a higher median age of 39.1 years compared to 38.3 years in Picayune.
  • Christiansburg has a higher median income of $71,468 compared to $35,649 in Picayune.
  • A higher percentage of married families is found in Christiansburg at 45.0% compared to 27.0% in Picayune.
  • The poverty level is higher in Picayune at 21%, compared to 9% in Christiansburg.
  • Picayune has a higher unemployment rate at 4.5% compared to 3.2% in Christiansburg.

Demographics

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

Demographic Christiansburg Picayune
Black 5 38
White 84 55
Asian 4 Data is updating
Hispanic 3 2
Two or More Races 4 5
American Indian Data is updating Data is updating

Demographics Comparison: Christiansburg vs Picayune

  • In Picayune, the percentage of Black residents is higher at 38% compared to 5% in Christiansburg.
  • Christiansburg has a higher percentage of White residents at 84% compared to 55% in Picayune.
  • The Asian population is larger in Christiansburg at 4% compared to 0% in Picayune.
  • The Hispanic community is larger in Christiansburg at 3% compared to 2% in Picayune.
  • The percentage of residents identifying as two or more races is higher in Picayune at 5%, compared to 4% in Christiansburg.
  • The percentage of American Indian residents is the same in both Christiansburg and Picayune at 0%.

Health Statistics

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

Health Metric Christiansburg Picayune
Mental Health Not Good 16.1% 18.4%
Physical Health Not Good 9.9% 14.3%
Depression 25.8% 24.0%
Smoking 14.4% 23.3%
Binge Drinking 19.2% 13.3%
Obesity 30.3% 44.0%
Disability Percentage 17.0% 21.0%

Health Statistics Comparison: Christiansburg vs Picayune

  • In Picayune, a higher percentage report poor mental health at 18.4% compared to 16.1% in Christiansburg.
  • Depression is more prevalent in Christiansburg at 25.8% compared to 24.0% in Picayune.
  • Picayune has a higher smoking rate at 23.3% compared to 14.4% in Christiansburg.
  • Binge drinking is more common in Christiansburg at 19.2% compared to 13.3% in Picayune.
  • Picayune has higher obesity rates at 44.0% compared to 30.3% in Christiansburg.
  • There is a higher percentage of disabled individuals in Picayune at 21.0% 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 Picayune
No Schooling 0.3% (66) 0.6% (73)
High School Diploma 14.0% (3,152) 17.8% (2,108)
Less than High School 8.1% (1,827) 11.8% (1,392)
Bachelor's Degree and Higher 31.9% (7,193) 10.1% (1,200)

Education Levels Comparison: Christiansburg vs Picayune

  • In Picayune, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Christiansburg.
  • In Picayune, the rate of residents with high school diplomas is higher at 17.8% compared to 14.0% in Christiansburg.
  • The percentage of residents with less than a high school education is higher in Picayune at 11.8%, 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 10.1% in Picayune.

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.