Demographics details for Willow street, PA vs Smith center, KS

Population Overview

Compare main population characteristics in Willow street, PA vs Smith center, KS.

Data Willow street Smith center
Population 9,640 1,561
Median Age 52.8 years 46.6 years
Median Income $100,727 $49,444
Married Families 53.0% 43.0%
Poverty Level 5% 10%
Unemployment Rate 3.2 3.2

Population Comparison: Willow street vs Smith center

  • In Willow street, the population is higher at 9,640, compared to 1,561 in Smith center.
  • Residents in Willow street have a higher median age of 52.8 years compared to 46.6 years in Smith center.
  • Willow street has a higher median income of $100,727 compared to $49,444 in Smith center.
  • A higher percentage of married families is found in Willow street at 53.0% compared to 43.0% in Smith center.
  • The poverty level is higher in Smith center at 10%, compared to 5% in Willow street.
  • The unemployment rate is the same in both Willow street and Smith center at 3.2%.

Demographics

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

Demographic Willow street Smith center
Black 2 1
White 81 94
Asian 4 Data is updating
Hispanic 7 3
Two or More Races 5 2
American Indian 1 Data is updating

Demographics Comparison: Willow street vs Smith center

  • A higher percentage of Black residents are in Willow street at 2% compared to 1% in Smith center.
  • The percentage of White residents is higher in Smith center at 94% compared to 81% in Willow street.
  • The Asian population is larger in Willow street at 4% compared to 0% in Smith center.
  • The Hispanic community is larger in Willow street at 7% compared to 3% in Smith center.
  • More residents identify as two or more races in Willow street at 5% compared to 2% in Smith center.
  • A greater percentage of American Indian residents live in Willow street at 1% compared to 0% in Smith center.

Health Statistics

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

Health Metric Willow street Smith center
Mental Health Not Good 14.8% 16.7%
Physical Health Not Good 9.7% 10.8%
Depression 22.3% 21.7%
Smoking 14.9% 19.2%
Binge Drinking 18.7% 19.0%
Obesity 32.9% 38.8%
Disability Percentage 17.0% 15.0%

Health Statistics Comparison: Willow street vs Smith center

  • In Smith center, a higher percentage report poor mental health at 16.7% compared to 14.8% in Willow street.
  • Depression is more prevalent in Willow street at 22.3% compared to 21.7% in Smith center.
  • Smith center has a higher smoking rate at 19.2% compared to 14.9% in Willow street.
  • More residents engage in binge drinking in Smith center at 19.0% compared to 18.7% in Willow street.
  • Smith center has higher obesity rates at 38.8% compared to 32.9% in Willow street.
  • Disability percentages are higher in Willow street at 17.0% compared to 15.0% in Smith center.

Education Levels

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

Education Level Willow street Smith center
No Schooling 0.3% (32) 0.2% (3)
High School Diploma 17.8% (1,717) 29.4% (459)
Less than High School 7.6% (734) 7.6% (118)
Bachelor's Degree and Higher 36.5% (3,517) 14.8% (231)

Education Levels Comparison: Willow street vs Smith center

  • A higher percentage of residents in Willow street have no formal schooling at 0.3% compared to 0.2% in Smith center.
  • In Smith center, the rate of residents with high school diplomas is higher at 29.4% compared to 17.8% in Willow street.
  • Both cities report the same percentage of residents with less than a high school education at 7.6%.
  • A higher percentage of residents in Willow street hold a bachelor's degree or higher at 36.5% compared to 14.8% in Smith center.

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.