Demographics details for Painter, VA vs Bossier city, LA

Population Overview

Compare main population characteristics in Painter, VA vs Bossier city, LA.

Data Painter Bossier city
Population 269 62,635
Median Age 34.7 years 35.1 years
Median Income $61,250 $54,100
Married Families 29.0% 35.0%
Poverty Level 10% 17%
Unemployment Rate 3.5 4.1

Population Comparison: Painter vs Bossier city

  • The population in Bossier city is higher at 62,635, compared to 269 in Painter.
  • The median age in Bossier city is higher at 35.1 years, compared to 34.7 years in Painter.
  • Painter has a higher median income of $61,250 compared to $54,100 in Bossier city.
  • In Bossier city, the percentage of married families is higher at 35.0%, compared to 29.0% in Painter.
  • The poverty level is higher in Bossier city at 17%, compared to 10% in Painter.
  • Bossier city has a higher unemployment rate at 4.1% compared to 3.5% in Painter.

Demographics

Demographics Painter vs Bossier city provide insight into the diversity of the communities to compare.

Demographic Painter Bossier city
Black 14 28
White 51 54
Asian Data is updating 2
Hispanic 19 10
Two or More Races 16 6
American Indian Data is updating Data is updating

Demographics Comparison: Painter vs Bossier city

  • In Bossier city, the percentage of Black residents is higher at 28% compared to 14% in Painter.
  • The percentage of White residents is higher in Bossier city at 54% compared to 51% in Painter.
  • In Bossier city, the Asian population stands at 2%, greater than 0% in Painter.
  • The Hispanic community is larger in Painter at 19% compared to 10% in Bossier city.
  • More residents identify as two or more races in Painter at 16% compared to 6% in Bossier city.
  • The percentage of American Indian residents is the same in both Painter and Bossier city at 0%.

Health Statistics

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

Health Metric Painter Bossier city
Mental Health Not Good 19.0% 19.4%
Physical Health Not Good 14.7% 13.6%
Depression 23.5% 25.0%
Smoking 22.2% 21.2%
Binge Drinking 14.5% 16.9%
Obesity 42.4% 38.8%
Disability Percentage 8.0% 14.0%

Health Statistics Comparison: Painter vs Bossier city

  • In Bossier city, a higher percentage report poor mental health at 19.4% compared to 19.0% in Painter.
  • Higher depression rates are seen in Bossier city at 25.0% versus 23.5% in Painter.
  • Smoking is more prevalent in Painter at 22.2% compared to 21.2% in Bossier city.
  • More residents engage in binge drinking in Bossier city at 16.9% compared to 14.5% in Painter.
  • Obesity rates are higher in Painter at 42.4% compared to 38.8% in Bossier city.
  • There is a higher percentage of disabled individuals in Bossier city at 14.0% compared to 8.0% in Painter.

Education Levels

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

Education Level Painter Bossier city
No Schooling 0.7% (2) 0.6% (400)
High School Diploma 13.8% (37) 17.8% (11,155)
Less than High School 24.9% (67) 11.7% (7,331)
Bachelor's Degree and Higher 8.9% (24) 16.1% (10,063)

Education Levels Comparison: Painter vs Bossier city

  • A higher percentage of residents in Painter have no formal schooling at 0.7% compared to 0.6% in Bossier city.
  • In Bossier city, the rate of residents with high school diplomas is higher at 17.8% compared to 13.8% in Painter.
  • More residents in Painter have less than a high school education at 24.9% compared to 11.7% in Bossier city.
  • In Bossier city, a larger share of residents have a bachelor's degree or higher at 16.1% compared to 8.9% in Painter.

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.