Demographics details for Warren, VT vs Willow street, PA

Population Overview

Compare main population characteristics in Warren, VT vs Willow street, PA.

Data Warren Willow street
Population 1,705 9,640
Median Age 41.5 years 52.8 years
Median Income $61,000 $100,727
Married Families 35.0% 53.0%
Poverty Level 5% 5%
Unemployment Rate 1.8 3.2

Population Comparison: Warren vs Willow street

  • The population in Willow street is higher at 9,640, compared to 1,705 in Warren.
  • The median age in Willow street is higher at 52.8 years, compared to 41.5 years in Warren.
  • Willow street has a higher median income of $100,727, compared to $61,000 in Warren.
  • In Willow street, the percentage of married families is higher at 53.0%, compared to 35.0% in Warren.
  • The poverty level is identical in both Warren and Willow street at 5%.
  • Willow street has a higher unemployment rate at 3.2% compared to 1.8% in Warren.

Demographics

Demographics Warren vs Willow street provide insight into the diversity of the communities to compare.

Demographic Warren Willow street
Black Data is updating 2
White 100 81
Asian Data is updating 4
Hispanic Data is updating 7
Two or More Races Data is updating 5
American Indian Data is updating 1

Demographics Comparison: Warren vs Willow street

  • In Willow street, the percentage of Black residents is higher at 2% compared to 0% in Warren.
  • Warren has a higher percentage of White residents at 100% compared to 81% in Willow street.
  • In Willow street, the Asian population stands at 4%, greater than 0% in Warren.
  • Willow street has a higher percentage of Hispanic residents at 7%, compared to 0% in Warren.
  • The percentage of residents identifying as two or more races is higher in Willow street at 5%, compared to 0% in Warren.
  • In Willow street, the percentage of American Indian residents is higher at 1%, compared to 0% in Warren.

Health Statistics

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

Health Metric Warren Willow street
Mental Health Not Good Data is updating% 14.8%
Physical Health Not Good Data is updating% 9.7%
Depression Data is updating% 22.3%
Smoking Data is updating% 14.9%
Binge Drinking Data is updating% 18.7%
Obesity Data is updating% 32.9%
Disability Percentage Data is updating% 17.0%

Health Statistics Comparison: Warren vs Willow street

  • In Willow street, a higher percentage report poor mental health at 14.8% compared to 0.0% in Warren.
  • Higher depression rates are seen in Willow street at 22.3% versus 0.0% in Warren.
  • Willow street has a higher smoking rate at 14.9% compared to 0.0% in Warren.
  • More residents engage in binge drinking in Willow street at 18.7% compared to 0.0% in Warren.
  • Willow street has higher obesity rates at 32.9% compared to 0.0% in Warren.
  • There is a higher percentage of disabled individuals in Willow street at 17.0% compared to 0.0% in Warren.

Education Levels

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

Education Level Warren Willow street
No Schooling 0.0% (Data is updating) 0.3% (32)
High School Diploma 0.0% (Data is updating) 17.8% (1,717)
Less than High School 0.0% (Data is updating) 7.6% (734)
Bachelor's Degree and Higher 0.0% (Data is updating) 36.5% (3,517)

Education Levels Comparison: Warren vs Willow street

  • In Willow street, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Warren.
  • In Willow street, the rate of residents with high school diplomas is higher at 17.8% compared to 0.0% in Warren.
  • The percentage of residents with less than a high school education is higher in Willow street at 7.6%, compared to 0.0% in Warren.
  • In Willow street, a larger share of residents have a bachelor's degree or higher at 36.5% compared to 0.0% in Warren.

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.