Demographics details for West mifflin, PA vs Little falls, MN

Population Overview

Compare main population characteristics in West mifflin, PA vs Little falls, MN.

Data West mifflin Little falls
Population 19,140 9,094
Median Age 45.2 years 40.8 years
Median Income $64,314 $44,455
Married Families 38.0% 34.0%
Poverty Level 9% 11%
Unemployment Rate 3.2 4.2

Population Comparison: West mifflin vs Little falls

  • In West mifflin, the population is higher at 19,140, compared to 9,094 in Little falls.
  • Residents in West mifflin have a higher median age of 45.2 years compared to 40.8 years in Little falls.
  • West mifflin has a higher median income of $64,314 compared to $44,455 in Little falls.
  • A higher percentage of married families is found in West mifflin at 38.0% compared to 34.0% in Little falls.
  • The poverty level is higher in Little falls at 11%, compared to 9% in West mifflin.
  • Little falls has a higher unemployment rate at 4.2% compared to 3.2% in West mifflin.

Demographics

Demographics West mifflin vs Little falls provide insight into the diversity of the communities to compare.

Demographic West mifflin Little falls
Black 11 Data is updating
White 82 95
Asian 1 1
Hispanic 2 1
Two or More Races 4 3
American Indian Data is updating Data is updating

Demographics Comparison: West mifflin vs Little falls

  • A higher percentage of Black residents are in West mifflin at 11% compared to 0% in Little falls.
  • The percentage of White residents is higher in Little falls at 95% compared to 82% in West mifflin.
  • Both West mifflin and Little falls have the same percentage of Asian residents at 1%.
  • The Hispanic community is larger in West mifflin at 2% compared to 1% in Little falls.
  • More residents identify as two or more races in West mifflin at 4% compared to 3% in Little falls.
  • The percentage of American Indian residents is the same in both West mifflin and Little falls at 0%.

Health Statistics

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

Health Metric West mifflin Little falls
Mental Health Not Good 17.0% 16.6%
Physical Health Not Good 11.6% 10.9%
Depression 23.0% 25.0%
Smoking 20.0% 22.3%
Binge Drinking 21.2% 20.6%
Obesity 33.9% 38.5%
Disability Percentage 17.0% 17.0%

Health Statistics Comparison: West mifflin vs Little falls

  • More residents in West mifflin report poor mental health at 17.0% compared to 16.6% in Little falls.
  • Higher depression rates are seen in Little falls at 25.0% versus 23.0% in West mifflin.
  • Little falls has a higher smoking rate at 22.3% compared to 20.0% in West mifflin.
  • Binge drinking is more common in West mifflin at 21.2% compared to 20.6% in Little falls.
  • Little falls has higher obesity rates at 38.5% compared to 33.9% in West mifflin.
  • Disability percentages are the same in both West mifflin and Little falls at 17.0%.

Education Levels

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

Education Level West mifflin Little falls
No Schooling 0.4% (75) 0.7% (63)
High School Diploma 25.5% (4,884) 25.4% (2,308)
Less than High School 7.2% (1,377) 11.7% (1,063)
Bachelor's Degree and Higher 16.7% (3,199) 14.3% (1,301)

Education Levels Comparison: West mifflin vs Little falls

  • In Little falls, a larger percentage of residents lack formal schooling at 0.7% compared to 0.4% in West mifflin.
  • A higher percentage of residents in West mifflin hold a high school diploma at 25.5% compared to 25.4% in Little falls.
  • The percentage of residents with less than a high school education is higher in Little falls at 11.7%, compared to 7.2% in West mifflin.
  • A higher percentage of residents in West mifflin hold a bachelor's degree or higher at 16.7% compared to 14.3% in Little falls.

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.