Demographics details for Columbia, SC vs Westmoreland city, PA

Population Overview

Compare main population characteristics in Columbia, SC vs Westmoreland city, PA.

Data Columbia Westmoreland city
Population 139,698 580
Median Age 28.3 years 44.0 years
Median Income $54,095 $55,000
Married Families 25.0% 250.0%
Poverty Level 17% 10%
Unemployment Rate 5.8 5.0

Population Comparison: Columbia vs Westmoreland city

  • In Columbia, the population is higher at 139,698, compared to 580 in Westmoreland city.
  • The median age in Westmoreland city is higher at 44.0 years, compared to 28.3 years in Columbia.
  • Westmoreland city has a higher median income of $55,000, compared to $54,095 in Columbia.
  • In Westmoreland city, the percentage of married families is higher at 250.0%, compared to 25.0% in Columbia.
  • Columbia has a higher poverty level at 17% compared to 10% in Westmoreland city.
  • The unemployment rate in Columbia is higher at 5.8%, compared to 5.0% in Westmoreland city.

Demographics

Demographics Columbia vs Westmoreland city provide insight into the diversity of the communities to compare.

Demographic Columbia Westmoreland city
Black 40 2
White 48 92
Asian 2 1
Hispanic 5 3
Two or More Races 5 2
American Indian Data is updating Data is updating

Demographics Comparison: Columbia vs Westmoreland city

  • A higher percentage of Black residents are in Columbia at 40% compared to 2% in Westmoreland city.
  • The percentage of White residents is higher in Westmoreland city at 92% compared to 48% in Columbia.
  • The Asian population is larger in Columbia at 2% compared to 1% in Westmoreland city.
  • The Hispanic community is larger in Columbia at 5% compared to 3% in Westmoreland city.
  • More residents identify as two or more races in Columbia at 5% compared to 2% in Westmoreland city.
  • The percentage of American Indian residents is the same in both Columbia and Westmoreland city at 0%.

Health Statistics

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

Health Metric Columbia Westmoreland city
Mental Health Not Good 18.6% Data is updating%
Physical Health Not Good 13.1% Data is updating%
Depression 20.8% Data is updating%
Smoking 19.1% Data is updating%
Binge Drinking 18.1% Data is updating%
Obesity 39.0% Data is updating%
Disability Percentage 11.0% Data is updating%

Health Statistics Comparison: Columbia vs Westmoreland city

  • More residents in Columbia report poor mental health at 18.6% compared to 0.0% in Westmoreland city.
  • Depression is more prevalent in Columbia at 20.8% compared to 0.0% in Westmoreland city.
  • Smoking is more prevalent in Columbia at 19.1% compared to 0.0% in Westmoreland city.
  • Binge drinking is more common in Columbia at 18.1% compared to 0.0% in Westmoreland city.
  • Obesity rates are higher in Columbia at 39.0% compared to 0.0% in Westmoreland city.
  • Disability percentages are higher in Columbia at 11.0% compared to 0.0% in Westmoreland city.

Education Levels

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

Education Level Columbia Westmoreland city
No Schooling 0.4% (555) 0.0% (Data is updating)
High School Diploma 8.4% (11,712) 0.0% (Data is updating)
Less than High School 5.9% (8,257) 0.0% (Data is updating)
Bachelor's Degree and Higher 24.7% (34,575) 0.0% (Data is updating)

Education Levels Comparison: Columbia vs Westmoreland city

  • A higher percentage of residents in Columbia have no formal schooling at 0.4% compared to 0.0% in Westmoreland city.
  • A higher percentage of residents in Columbia hold a high school diploma at 8.4% compared to 0.0% in Westmoreland city.
  • More residents in Columbia have less than a high school education at 5.9% compared to 0.0% in Westmoreland city.
  • A higher percentage of residents in Columbia hold a bachelor's degree or higher at 24.7% compared to 0.0% in Westmoreland city.

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.