Demographics details for Willow street, PA vs Shasta lake, CA

Population Overview

Compare main population characteristics in Willow street, PA vs Shasta lake, CA.

Data Willow street Shasta lake
Population 9,640 10,335
Median Age 52.8 years 38.8 years
Median Income $100,727 $54,490
Married Families 53.0% 35.0%
Poverty Level 5% 12%
Unemployment Rate 3.2 5.1

Population Comparison: Willow street vs Shasta lake

  • The population in Shasta lake is higher at 10,335, compared to 9,640 in Willow street.
  • Residents in Willow street have a higher median age of 52.8 years compared to 38.8 years in Shasta lake.
  • Willow street has a higher median income of $100,727 compared to $54,490 in Shasta lake.
  • A higher percentage of married families is found in Willow street at 53.0% compared to 35.0% in Shasta lake.
  • The poverty level is higher in Shasta lake at 12%, compared to 5% in Willow street.
  • Shasta lake has a higher unemployment rate at 5.1% compared to 3.2% in Willow street.

Demographics

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

Demographic Willow street Shasta lake
Black 2 Data is updating
White 81 74
Asian 4 1
Hispanic 7 12
Two or More Races 5 11
American Indian 1 2

Demographics Comparison: Willow street vs Shasta lake

  • A higher percentage of Black residents are in Willow street at 2% compared to 0% in Shasta lake.
  • Willow street has a higher percentage of White residents at 81% compared to 74% in Shasta lake.
  • The Asian population is larger in Willow street at 4% compared to 1% in Shasta lake.
  • Shasta lake has a higher percentage of Hispanic residents at 12%, compared to 7% in Willow street.
  • The percentage of residents identifying as two or more races is higher in Shasta lake at 11%, compared to 5% in Willow street.
  • In Shasta lake, the percentage of American Indian residents is higher at 2%, compared to 1% in Willow street.

Health Statistics

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

Health Metric Willow street Shasta lake
Mental Health Not Good 14.8% 19.3%
Physical Health Not Good 9.7% 13.2%
Depression 22.3% 22.9%
Smoking 14.9% 17.4%
Binge Drinking 18.7% 17.5%
Obesity 32.9% 32.5%
Disability Percentage 17.0% 25.0%

Health Statistics Comparison: Willow street vs Shasta lake

  • In Shasta lake, a higher percentage report poor mental health at 19.3% compared to 14.8% in Willow street.
  • Higher depression rates are seen in Shasta lake at 22.9% versus 22.3% in Willow street.
  • Shasta lake has a higher smoking rate at 17.4% compared to 14.9% in Willow street.
  • Binge drinking is more common in Willow street at 18.7% compared to 17.5% in Shasta lake.
  • Obesity rates are higher in Willow street at 32.9% compared to 32.5% in Shasta lake.
  • There is a higher percentage of disabled individuals in Shasta lake at 25.0% 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 Willow street Shasta lake
No Schooling 0.3% (32) 0.6% (67)
High School Diploma 17.8% (1,717) 17.0% (1,759)
Less than High School 7.6% (734) 11.4% (1,176)
Bachelor's Degree and Higher 36.5% (3,517) 9.2% (946)

Education Levels Comparison: Willow street vs Shasta lake

  • In Shasta lake, a larger percentage of residents lack formal schooling at 0.6% compared to 0.3% in Willow street.
  • A higher percentage of residents in Willow street hold a high school diploma at 17.8% compared to 17.0% in Shasta lake.
  • The percentage of residents with less than a high school education is higher in Shasta lake at 11.4%, compared to 7.6% in Willow street.
  • A higher percentage of residents in Willow street hold a bachelor's degree or higher at 36.5% compared to 9.2% in Shasta lake.

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.