Demographics details for Piper city, IL vs Oakland park, FL

Population Overview

Compare main population characteristics in Piper city, IL vs Oakland park, FL.

Data Piper city Oakland park
Population 729 43,824
Median Age 48.3 years 39.1 years
Median Income $38,750 $64,989
Married Families 40.0% 30.0%
Poverty Level 11% 14%
Unemployment Rate 3.2 3.1

Population Comparison: Piper city vs Oakland park

  • The population in Oakland park is higher at 43,824, compared to 729 in Piper city.
  • Residents in Piper city have a higher median age of 48.3 years compared to 39.1 years in Oakland park.
  • Oakland park has a higher median income of $64,989, compared to $38,750 in Piper city.
  • A higher percentage of married families is found in Piper city at 40.0% compared to 30.0% in Oakland park.
  • The poverty level is higher in Oakland park at 14%, compared to 11% in Piper city.
  • The unemployment rate in Piper city is higher at 3.2%, compared to 3.1% in Oakland park.

Demographics

Demographics Piper city vs Oakland park provide insight into the diversity of the communities to compare.

Demographic Piper city Oakland park
Black 2 29
White 94 20
Asian Data is updating 2
Hispanic 3 32
Two or More Races 1 17
American Indian Data is updating Data is updating

Demographics Comparison: Piper city vs Oakland park

  • In Oakland park, the percentage of Black residents is higher at 29% compared to 2% in Piper city.
  • Piper city has a higher percentage of White residents at 94% compared to 20% in Oakland park.
  • In Oakland park, the Asian population stands at 2%, greater than 0% in Piper city.
  • Oakland park has a higher percentage of Hispanic residents at 32%, compared to 3% in Piper city.
  • The percentage of residents identifying as two or more races is higher in Oakland park at 17%, compared to 1% in Piper city.
  • The percentage of American Indian residents is the same in both Piper city and Oakland park at 0%.

Health Statistics

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

Health Metric Piper city Oakland park
Mental Health Not Good 17.8% 16.3%
Physical Health Not Good 12.8% 12.2%
Depression 23.2% 17.8%
Smoking 20.6% 20.1%
Binge Drinking 17.3% 15.0%
Obesity 38.4% 31.1%
Disability Percentage 26.0% 11.0%

Health Statistics Comparison: Piper city vs Oakland park

  • More residents in Piper city report poor mental health at 17.8% compared to 16.3% in Oakland park.
  • Depression is more prevalent in Piper city at 23.2% compared to 17.8% in Oakland park.
  • Smoking is more prevalent in Piper city at 20.6% compared to 20.1% in Oakland park.
  • Binge drinking is more common in Piper city at 17.3% compared to 15.0% in Oakland park.
  • Obesity rates are higher in Piper city at 38.4% compared to 31.1% in Oakland park.
  • Disability percentages are higher in Piper city at 26.0% compared to 11.0% in Oakland park.

Education Levels

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

Education Level Piper city Oakland park
No Schooling 0.1% (1) 1.4% (596)
High School Diploma 30.3% (221) 19.8% (8,695)
Less than High School 10.8% (79) 16.2% (7,092)
Bachelor's Degree and Higher 5.8% (42) 20.7% (9,073)

Education Levels Comparison: Piper city vs Oakland park

  • In Oakland park, a larger percentage of residents lack formal schooling at 1.4% compared to 0.1% in Piper city.
  • A higher percentage of residents in Piper city hold a high school diploma at 30.3% compared to 19.8% in Oakland park.
  • The percentage of residents with less than a high school education is higher in Oakland park at 16.2%, compared to 10.8% in Piper city.
  • In Oakland park, a larger share of residents have a bachelor's degree or higher at 20.7% compared to 5.8% in Piper city.

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.