Demographics details for Cedar bluff, VA vs Willow street, PA

Population Overview

Compare main population characteristics in Cedar bluff, VA vs Willow street, PA.

Data Cedar bluff Willow street
Population 1,045 9,640
Median Age 48.9 years 52.8 years
Median Income $41,094 $100,727
Married Families 54.0% 53.0%
Poverty Level 8% 5%
Unemployment Rate 4.2 3.2

Population Comparison: Cedar bluff vs Willow street

  • The population in Willow street is higher at 9,640, compared to 1,045 in Cedar bluff.
  • The median age in Willow street is higher at 52.8 years, compared to 48.9 years in Cedar bluff.
  • Willow street has a higher median income of $100,727, compared to $41,094 in Cedar bluff.
  • A higher percentage of married families is found in Cedar bluff at 54.0% compared to 53.0% in Willow street.
  • Cedar bluff has a higher poverty level at 8% compared to 5% in Willow street.
  • The unemployment rate in Cedar bluff is higher at 4.2%, compared to 3.2% in Willow street.

Demographics

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

Demographic Cedar bluff 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: Cedar bluff vs Willow street

  • In Willow street, the percentage of Black residents is higher at 2% compared to 0% in Cedar bluff.
  • Cedar bluff 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 Cedar bluff.
  • Willow street has a higher percentage of Hispanic residents at 7%, compared to 0% in Cedar bluff.
  • The percentage of residents identifying as two or more races is higher in Willow street at 5%, compared to 0% in Cedar bluff.
  • In Willow street, the percentage of American Indian residents is higher at 1%, compared to 0% in Cedar bluff.

Health Statistics

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

Health Metric Cedar bluff Willow street
Mental Health Not Good 19.8% 14.8%
Physical Health Not Good 13.5% 9.7%
Depression 28.4% 22.3%
Smoking 21.7% 14.9%
Binge Drinking 18.0% 18.7%
Obesity 36.2% 32.9%
Disability Percentage 22.0% 17.0%

Health Statistics Comparison: Cedar bluff vs Willow street

  • More residents in Cedar bluff report poor mental health at 19.8% compared to 14.8% in Willow street.
  • Depression is more prevalent in Cedar bluff at 28.4% compared to 22.3% in Willow street.
  • Smoking is more prevalent in Cedar bluff at 21.7% compared to 14.9% in Willow street.
  • More residents engage in binge drinking in Willow street at 18.7% compared to 18.0% in Cedar bluff.
  • Obesity rates are higher in Cedar bluff at 36.2% compared to 32.9% in Willow street.
  • Disability percentages are higher in Cedar bluff at 22.0% compared to 17.0% in Willow street.

Education Levels

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

Education Level Cedar bluff Willow street
No Schooling 0.0% (Data is updating) 0.3% (32)
High School Diploma 32.9% (344) 17.8% (1,717)
Less than High School 19.7% (206) 7.6% (734)
Bachelor's Degree and Higher 13.0% (136) 36.5% (3,517)

Education Levels Comparison: Cedar bluff vs Willow street

  • In Willow street, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Cedar bluff.
  • A higher percentage of residents in Cedar bluff hold a high school diploma at 32.9% compared to 17.8% in Willow street.
  • More residents in Cedar bluff have less than a high school education at 19.7% compared to 7.6% in Willow street.
  • In Willow street, a larger share of residents have a bachelor's degree or higher at 36.5% compared to 13.0% in Cedar bluff.

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.