Demographics details for Pearisburg, VA vs Gautier, MS

Population Overview

Compare main population characteristics in Pearisburg, VA vs Gautier, MS.

Data Pearisburg Gautier
Population 2,832 18,977
Median Age 46.5 years 40.4 years
Median Income $70,905 $57,757
Married Families 43.0% 38.0%
Poverty Level 10% 11%
Unemployment Rate 3.5 3.8

Population Comparison: Pearisburg vs Gautier

  • The population in Gautier is higher at 18,977, compared to 2,832 in Pearisburg.
  • Residents in Pearisburg have a higher median age of 46.5 years compared to 40.4 years in Gautier.
  • Pearisburg has a higher median income of $70,905 compared to $57,757 in Gautier.
  • A higher percentage of married families is found in Pearisburg at 43.0% compared to 38.0% in Gautier.
  • The poverty level is higher in Gautier at 11%, compared to 10% in Pearisburg.
  • Gautier has a higher unemployment rate at 3.8% compared to 3.5% in Pearisburg.

Demographics

Demographics Pearisburg vs Gautier provide insight into the diversity of the communities to compare.

Demographic Pearisburg Gautier
Black 10 36
White 89 45
Asian Data is updating 2
Hispanic 1 12
Two or More Races Data is updating 4
American Indian Data is updating 1

Demographics Comparison: Pearisburg vs Gautier

  • In Gautier, the percentage of Black residents is higher at 36% compared to 10% in Pearisburg.
  • Pearisburg has a higher percentage of White residents at 89% compared to 45% in Gautier.
  • In Gautier, the Asian population stands at 2%, greater than 0% in Pearisburg.
  • Gautier has a higher percentage of Hispanic residents at 12%, compared to 1% in Pearisburg.
  • The percentage of residents identifying as two or more races is higher in Gautier at 4%, compared to 0% in Pearisburg.
  • In Gautier, the percentage of American Indian residents is higher at 1%, compared to 0% in Pearisburg.

Health Statistics

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

Health Metric Pearisburg Gautier
Mental Health Not Good 18.2% 16.3%
Physical Health Not Good 12.0% 11.4%
Depression 24.8% 22.2%
Smoking 19.5% 17.6%
Binge Drinking 17.8% 15.1%
Obesity 36.0% 35.9%
Disability Percentage 14.0% 18.0%

Health Statistics Comparison: Pearisburg vs Gautier

  • More residents in Pearisburg report poor mental health at 18.2% compared to 16.3% in Gautier.
  • Depression is more prevalent in Pearisburg at 24.8% compared to 22.2% in Gautier.
  • Smoking is more prevalent in Pearisburg at 19.5% compared to 17.6% in Gautier.
  • Binge drinking is more common in Pearisburg at 17.8% compared to 15.1% in Gautier.
  • Obesity rates are higher in Pearisburg at 36.0% compared to 35.9% in Gautier.
  • There is a higher percentage of disabled individuals in Gautier at 18.0% compared to 14.0% in Pearisburg.

Education Levels

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

Education Level Pearisburg Gautier
No Schooling 0.7% (20) 1.6% (309)
High School Diploma 33.2% (939) 13.5% (2,553)
Less than High School 7.0% (199) 13.2% (2,502)
Bachelor's Degree and Higher 15.0% (426) 15.3% (2,898)

Education Levels Comparison: Pearisburg vs Gautier

  • In Gautier, a larger percentage of residents lack formal schooling at 1.6% compared to 0.7% in Pearisburg.
  • A higher percentage of residents in Pearisburg hold a high school diploma at 33.2% compared to 13.5% in Gautier.
  • The percentage of residents with less than a high school education is higher in Gautier at 13.2%, compared to 7.0% in Pearisburg.
  • In Gautier, a larger share of residents have a bachelor's degree or higher at 15.3% compared to 15.0% in Pearisburg.

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.