Demographics details for Westmoreland city, PA vs Sabin, MN

Population Overview

Compare main population characteristics in Westmoreland city, PA vs Sabin, MN.

Data Westmoreland city Sabin
Population 580 610
Median Age 44.0 years 33.3 years
Median Income $55,000 $118,750
Married Families 250.0% 50.0%
Poverty Level 10% Data is updating
Unemployment Rate 5.0 2.5

Population Comparison: Westmoreland city vs Sabin

  • The population in Sabin is higher at 610, compared to 580 in Westmoreland city.
  • Residents in Westmoreland city have a higher median age of 44.0 years compared to 33.3 years in Sabin.
  • Sabin has a higher median income of $118,750, compared to $55,000 in Westmoreland city.
  • A higher percentage of married families is found in Westmoreland city at 250.0% compared to 50.0% in Sabin.
  • Westmoreland city has a higher poverty level at 10% compared to 0% in Sabin.
  • The unemployment rate in Westmoreland city is higher at 5.0%, compared to 2.5% in Sabin.

Demographics

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

Demographic Westmoreland city Sabin
Black 2 Data is updating
White 92 82
Asian 1 1
Hispanic 3 3
Two or More Races 2 8
American Indian Data is updating 6

Demographics Comparison: Westmoreland city vs Sabin

  • A higher percentage of Black residents are in Westmoreland city at 2% compared to 0% in Sabin.
  • Westmoreland city has a higher percentage of White residents at 92% compared to 82% in Sabin.
  • Both Westmoreland city and Sabin have the same percentage of Asian residents at 1%.
  • The percentage of Hispanic residents is the same in both Westmoreland city and Sabin at 3%.
  • The percentage of residents identifying as two or more races is higher in Sabin at 8%, compared to 2% in Westmoreland city.
  • In Sabin, the percentage of American Indian residents is higher at 6%, compared to 0% in Westmoreland city.

Health Statistics

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

Health Metric Westmoreland city Sabin
Mental Health Not Good Data is updating% 14.2%
Physical Health Not Good Data is updating% 8.4%
Depression Data is updating% 25.3%
Smoking Data is updating% 15.3%
Binge Drinking Data is updating% 20.6%
Obesity Data is updating% 33.7%
Disability Percentage Data is updating% 5.0%

Health Statistics Comparison: Westmoreland city vs Sabin

  • In Sabin, a higher percentage report poor mental health at 14.2% compared to 0.0% in Westmoreland city.
  • Higher depression rates are seen in Sabin at 25.3% versus 0.0% in Westmoreland city.
  • Sabin has a higher smoking rate at 15.3% compared to 0.0% in Westmoreland city.
  • More residents engage in binge drinking in Sabin at 20.6% compared to 0.0% in Westmoreland city.
  • Sabin has higher obesity rates at 33.7% compared to 0.0% in Westmoreland city.
  • There is a higher percentage of disabled individuals in Sabin at 5.0% 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 Westmoreland city Sabin
No Schooling 0.0% (Data is updating) 0.2% (1)
High School Diploma 0.0% (Data is updating) 14.1% (86)
Less than High School 0.0% (Data is updating) 3.6% (22)
Bachelor's Degree and Higher 0.0% (Data is updating) 17.9% (109)

Education Levels Comparison: Westmoreland city vs Sabin

  • In Sabin, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Westmoreland city.
  • In Sabin, the rate of residents with high school diplomas is higher at 14.1% compared to 0.0% in Westmoreland city.
  • The percentage of residents with less than a high school education is higher in Sabin at 3.6%, compared to 0.0% in Westmoreland city.
  • In Sabin, a larger share of residents have a bachelor's degree or higher at 17.9% 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.