Demographics details for Dighton, MA vs Greensburg, PA

Population Overview

Compare main population characteristics in Dighton, MA vs Greensburg, PA.

Data Dighton Greensburg
Population 7,891 14,715
Median Age 42.0 years 36.9 years
Median Income $77,750 $58,001
Married Families 64.0% 34.0%
Poverty Level 5% 12%
Unemployment Rate 3.5 4.1

Population Comparison: Dighton vs Greensburg

  • The population in Greensburg is higher at 14,715, compared to 7,891 in Dighton.
  • Residents in Dighton have a higher median age of 42.0 years compared to 36.9 years in Greensburg.
  • Dighton has a higher median income of $77,750 compared to $58,001 in Greensburg.
  • A higher percentage of married families is found in Dighton at 64.0% compared to 34.0% in Greensburg.
  • The poverty level is higher in Greensburg at 12%, compared to 5% in Dighton.
  • Greensburg has a higher unemployment rate at 4.1% compared to 3.5% in Dighton.

Demographics

Demographics Dighton vs Greensburg provide insight into the diversity of the communities to compare.

Demographic Dighton Greensburg
Black Data is updating 3
White 96 91
Asian 1 1
Hispanic 2 1
Two or More Races 1 4
American Indian Data is updating Data is updating

Demographics Comparison: Dighton vs Greensburg

  • In Greensburg, the percentage of Black residents is higher at 3% compared to 0% in Dighton.
  • Dighton has a higher percentage of White residents at 96% compared to 91% in Greensburg.
  • Both Dighton and Greensburg have the same percentage of Asian residents at 1%.
  • The Hispanic community is larger in Dighton at 2% compared to 1% in Greensburg.
  • The percentage of residents identifying as two or more races is higher in Greensburg at 4%, compared to 1% in Dighton.
  • The percentage of American Indian residents is the same in both Dighton and Greensburg at 0%.

Health Statistics

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

Health Metric Dighton Greensburg
Mental Health Not Good Data is updating% 17.9%
Physical Health Not Good Data is updating% 12.4%
Depression Data is updating% 22.9%
Smoking Data is updating% 18.4%
Binge Drinking Data is updating% 18.3%
Obesity Data is updating% 34.2%
Disability Percentage Data is updating% 16.0%

Health Statistics Comparison: Dighton vs Greensburg

  • In Greensburg, a higher percentage report poor mental health at 17.9% compared to 0.0% in Dighton.
  • Higher depression rates are seen in Greensburg at 22.9% versus 0.0% in Dighton.
  • Greensburg has a higher smoking rate at 18.4% compared to 0.0% in Dighton.
  • More residents engage in binge drinking in Greensburg at 18.3% compared to 0.0% in Dighton.
  • Greensburg has higher obesity rates at 34.2% compared to 0.0% in Dighton.
  • There is a higher percentage of disabled individuals in Greensburg at 16.0% compared to 0.0% in Dighton.

Education Levels

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

Education Level Dighton Greensburg
No Schooling 0.0% (Data is updating) 0.1% (16)
High School Diploma 0.0% (Data is updating) 17.0% (2,502)
Less than High School 0.0% (Data is updating) 5.1% (745)
Bachelor's Degree and Higher 0.0% (Data is updating) 26.9% (3,965)

Education Levels Comparison: Dighton vs Greensburg

  • In Greensburg, a larger percentage of residents lack formal schooling at 0.1% compared to 0.0% in Dighton.
  • In Greensburg, the rate of residents with high school diplomas is higher at 17.0% compared to 0.0% in Dighton.
  • The percentage of residents with less than a high school education is higher in Greensburg at 5.1%, compared to 0.0% in Dighton.
  • In Greensburg, a larger share of residents have a bachelor's degree or higher at 26.9% compared to 0.0% in Dighton.

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.