Demographics details for Richfield, PA vs Shabbona, IL

Population Overview

Compare main population characteristics in Richfield, PA vs Shabbona, IL.

Data Richfield Shabbona
Population 549 850
Median Age 40.0 years 53.7 years
Median Income $60,000 $60,625
Married Families 60.0% 34.0%
Poverty Level 10% 8%
Unemployment Rate 3.5 5.1

Population Comparison: Richfield vs Shabbona

  • The population in Shabbona is higher at 850, compared to 549 in Richfield.
  • The median age in Shabbona is higher at 53.7 years, compared to 40.0 years in Richfield.
  • Shabbona has a higher median income of $60,625, compared to $60,000 in Richfield.
  • A higher percentage of married families is found in Richfield at 60.0% compared to 34.0% in Shabbona.
  • Richfield has a higher poverty level at 10% compared to 8% in Shabbona.
  • Shabbona has a higher unemployment rate at 5.1% compared to 3.5% in Richfield.

Demographics

Demographics Richfield vs Shabbona provide insight into the diversity of the communities to compare.

Demographic Richfield Shabbona
Black 1 1
White 98 94
Asian Data is updating Data is updating
Hispanic 1 3
Two or More Races Data is updating 2
American Indian Data is updating Data is updating

Demographics Comparison: Richfield vs Shabbona

  • The percentage of Black residents is the same in both Richfield and Shabbona at 1%.
  • Richfield has a higher percentage of White residents at 98% compared to 94% in Shabbona.
  • Both Richfield and Shabbona have the same percentage of Asian residents at 0%.
  • Shabbona has a higher percentage of Hispanic residents at 3%, compared to 1% in Richfield.
  • The percentage of residents identifying as two or more races is higher in Shabbona at 2%, compared to 0% in Richfield.
  • The percentage of American Indian residents is the same in both Richfield and Shabbona at 0%.

Health Statistics

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

Health Metric Richfield Shabbona
Mental Health Not Good Data is updating% 16.2%
Physical Health Not Good Data is updating% 10.5%
Depression Data is updating% 22.1%
Smoking Data is updating% 16.5%
Binge Drinking Data is updating% 18.8%
Obesity Data is updating% 36.3%
Disability Percentage Data is updating% 24.0%

Health Statistics Comparison: Richfield vs Shabbona

  • In Shabbona, a higher percentage report poor mental health at 16.2% compared to 0.0% in Richfield.
  • Higher depression rates are seen in Shabbona at 22.1% versus 0.0% in Richfield.
  • Shabbona has a higher smoking rate at 16.5% compared to 0.0% in Richfield.
  • More residents engage in binge drinking in Shabbona at 18.8% compared to 0.0% in Richfield.
  • Shabbona has higher obesity rates at 36.3% compared to 0.0% in Richfield.
  • There is a higher percentage of disabled individuals in Shabbona at 24.0% compared to 0.0% in Richfield.

Education Levels

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

Education Level Richfield Shabbona
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 0.0% (Data is updating) 22.1% (188)
Less than High School 0.0% (Data is updating) 7.6% (65)
Bachelor's Degree and Higher 0.0% (Data is updating) 12.2% (104)

Education Levels Comparison: Richfield vs Shabbona

  • The percentage of residents with no formal schooling is the same in both Richfield and Shabbona at 0.0%.
  • In Shabbona, the rate of residents with high school diplomas is higher at 22.1% compared to 0.0% in Richfield.
  • The percentage of residents with less than a high school education is higher in Shabbona at 7.6%, compared to 0.0% in Richfield.
  • In Shabbona, a larger share of residents have a bachelor's degree or higher at 12.2% compared to 0.0% in Richfield.

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.