Demographics details for Swansea, MA vs Duncanville, TX

Population Overview

Compare main population characteristics in Swansea, MA vs Duncanville, TX.

Data Swansea Duncanville
Population 16,705 39,413
Median Age 42.0 years 36.9 years
Median Income $71,000 $66,601
Married Families 60.0% 36.0%
Poverty Level 7% 13%
Unemployment Rate 3.4 4.7

Population Comparison: Swansea vs Duncanville

  • The population in Duncanville is higher at 39,413, compared to 16,705 in Swansea.
  • Residents in Swansea have a higher median age of 42.0 years compared to 36.9 years in Duncanville.
  • Swansea has a higher median income of $71,000 compared to $66,601 in Duncanville.
  • A higher percentage of married families is found in Swansea at 60.0% compared to 36.0% in Duncanville.
  • The poverty level is higher in Duncanville at 13%, compared to 7% in Swansea.
  • Duncanville has a higher unemployment rate at 4.7% compared to 3.4% in Swansea.

Demographics

Demographics Swansea vs Duncanville provide insight into the diversity of the communities to compare.

Demographic Swansea Duncanville
Black 2 33
White 90 10
Asian 1 2
Hispanic 5 43
Two or More Races 2 11
American Indian Data is updating 1

Demographics Comparison: Swansea vs Duncanville

  • In Duncanville, the percentage of Black residents is higher at 33% compared to 2% in Swansea.
  • Swansea has a higher percentage of White residents at 90% compared to 10% in Duncanville.
  • In Duncanville, the Asian population stands at 2%, greater than 1% in Swansea.
  • Duncanville has a higher percentage of Hispanic residents at 43%, compared to 5% in Swansea.
  • The percentage of residents identifying as two or more races is higher in Duncanville at 11%, compared to 2% in Swansea.
  • In Duncanville, the percentage of American Indian residents is higher at 1%, compared to 0% in Swansea.

Health Statistics

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

Health Metric Swansea Duncanville
Mental Health Not Good Data is updating% 17.2%
Physical Health Not Good Data is updating% 12.0%
Depression Data is updating% 22.0%
Smoking Data is updating% 16.9%
Binge Drinking Data is updating% 17.6%
Obesity Data is updating% 36.6%
Disability Percentage Data is updating% 12.0%

Health Statistics Comparison: Swansea vs Duncanville

  • In Duncanville, a higher percentage report poor mental health at 17.2% compared to 0.0% in Swansea.
  • Higher depression rates are seen in Duncanville at 22.0% versus 0.0% in Swansea.
  • Duncanville has a higher smoking rate at 16.9% compared to 0.0% in Swansea.
  • More residents engage in binge drinking in Duncanville at 17.6% compared to 0.0% in Swansea.
  • Duncanville has higher obesity rates at 36.6% compared to 0.0% in Swansea.
  • There is a higher percentage of disabled individuals in Duncanville at 12.0% compared to 0.0% in Swansea.

Education Levels

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

Education Level Swansea Duncanville
No Schooling 0.0% (Data is updating) 2.6% (1,044)
High School Diploma 0.0% (Data is updating) 16.8% (6,623)
Less than High School 0.0% (Data is updating) 21.4% (8,451)
Bachelor's Degree and Higher 0.0% (Data is updating) 15.8% (6,219)

Education Levels Comparison: Swansea vs Duncanville

  • In Duncanville, a larger percentage of residents lack formal schooling at 2.6% compared to 0.0% in Swansea.
  • In Duncanville, the rate of residents with high school diplomas is higher at 16.8% compared to 0.0% in Swansea.
  • The percentage of residents with less than a high school education is higher in Duncanville at 21.4%, compared to 0.0% in Swansea.
  • In Duncanville, a larger share of residents have a bachelor's degree or higher at 15.8% compared to 0.0% in Swansea.

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.