Demographics details for Penn valley, CA vs Orland park, IL

Population Overview

Compare main population characteristics in Penn valley, CA vs Orland park, IL.

Data Penn valley Orland park
Population 1,188 57,511
Median Age 55.7 years 46.6 years
Median Income $65,882 $97,365
Married Families 60.0% 48.0%
Poverty Level 8% 6%
Unemployment Rate 5.1 5.4

Population Comparison: Penn valley vs Orland park

  • The population in Orland park is higher at 57,511, compared to 1,188 in Penn valley.
  • Residents in Penn valley have a higher median age of 55.7 years compared to 46.6 years in Orland park.
  • Orland park has a higher median income of $97,365, compared to $65,882 in Penn valley.
  • A higher percentage of married families is found in Penn valley at 60.0% compared to 48.0% in Orland park.
  • Penn valley has a higher poverty level at 8% compared to 6% in Orland park.
  • Orland park has a higher unemployment rate at 5.4% compared to 5.1% in Penn valley.

Demographics

Demographics Penn valley vs Orland park provide insight into the diversity of the communities to compare.

Demographic Penn valley Orland park
Black Data is updating 4
White 86 76
Asian Data is updating 5
Hispanic 7 10
Two or More Races 7 5
American Indian Data is updating Data is updating

Demographics Comparison: Penn valley vs Orland park

  • In Orland park, the percentage of Black residents is higher at 4% compared to 0% in Penn valley.
  • Penn valley has a higher percentage of White residents at 86% compared to 76% in Orland park.
  • In Orland park, the Asian population stands at 5%, greater than 0% in Penn valley.
  • Orland park has a higher percentage of Hispanic residents at 10%, compared to 7% in Penn valley.
  • More residents identify as two or more races in Penn valley at 7% compared to 5% in Orland park.
  • The percentage of American Indian residents is the same in both Penn valley and Orland park at 0%.

Health Statistics

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

Health Metric Penn valley Orland park
Mental Health Not Good 18.4% 13.2%
Physical Health Not Good 11.8% 8.6%
Depression 22.9% 18.2%
Smoking 14.8% 11.7%
Binge Drinking 17.9% 20.2%
Obesity 29.5% 26.8%
Disability Percentage 30.0% 11.0%

Health Statistics Comparison: Penn valley vs Orland park

  • More residents in Penn valley report poor mental health at 18.4% compared to 13.2% in Orland park.
  • Depression is more prevalent in Penn valley at 22.9% compared to 18.2% in Orland park.
  • Smoking is more prevalent in Penn valley at 14.8% compared to 11.7% in Orland park.
  • More residents engage in binge drinking in Orland park at 20.2% compared to 17.9% in Penn valley.
  • Obesity rates are higher in Penn valley at 29.5% compared to 26.8% in Orland park.
  • Disability percentages are higher in Penn valley at 30.0% compared to 11.0% in Orland park.

Education Levels

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

Education Level Penn valley Orland park
No Schooling 4.9% (58) 0.5% (297)
High School Diploma 21.6% (257) 16.1% (9,262)
Less than High School 8.2% (98) 8.3% (4,763)
Bachelor's Degree and Higher 12.3% (146) 31.9% (18,372)

Education Levels Comparison: Penn valley vs Orland park

  • A higher percentage of residents in Penn valley have no formal schooling at 4.9% compared to 0.5% in Orland park.
  • A higher percentage of residents in Penn valley hold a high school diploma at 21.6% compared to 16.1% in Orland park.
  • The percentage of residents with less than a high school education is higher in Orland park at 8.3%, compared to 8.2% in Penn valley.
  • In Orland park, a larger share of residents have a bachelor's degree or higher at 31.9% compared to 12.3% in Penn valley.

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.