Demographics details for Franklin park, IL vs South paris, ME

Population Overview

Compare main population characteristics in Franklin park, IL vs South paris, ME.

Data Franklin park South paris
Population 18,059 2,208
Median Age 36.5 years 39.5 years
Median Income $74,167 $42,321
Married Families 36.0% 30.0%
Poverty Level 9% 13%
Unemployment Rate 5.1 3.5

Population Comparison: Franklin park vs South paris

  • In Franklin park, the population is higher at 18,059, compared to 2,208 in South paris.
  • The median age in South paris is higher at 39.5 years, compared to 36.5 years in Franklin park.
  • Franklin park has a higher median income of $74,167 compared to $42,321 in South paris.
  • A higher percentage of married families is found in Franklin park at 36.0% compared to 30.0% in South paris.
  • The poverty level is higher in South paris at 13%, compared to 9% in Franklin park.
  • The unemployment rate in Franklin park is higher at 5.1%, compared to 3.5% in South paris.

Demographics

Demographics Franklin park vs South paris provide insight into the diversity of the communities to compare.

Demographic Franklin park South paris
Black 1 Data is updating
White 10 97
Asian 5 Data is updating
Hispanic 59 3
Two or More Races 23 Data is updating
American Indian 2 Data is updating

Demographics Comparison: Franklin park vs South paris

  • A higher percentage of Black residents are in Franklin park at 1% compared to 0% in South paris.
  • The percentage of White residents is higher in South paris at 97% compared to 10% in Franklin park.
  • The Asian population is larger in Franklin park at 5% compared to 0% in South paris.
  • The Hispanic community is larger in Franklin park at 59% compared to 3% in South paris.
  • More residents identify as two or more races in Franklin park at 23% compared to 0% in South paris.
  • A greater percentage of American Indian residents live in Franklin park at 2% compared to 0% in South paris.

Health Statistics

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

Health Metric Franklin park South paris
Mental Health Not Good 14.2% 18.7%
Physical Health Not Good 10.9% 11.4%
Depression 17.7% 26.9%
Smoking 14.4% 20.1%
Binge Drinking 18.9% 18.1%
Obesity 30.9% 33.9%
Disability Percentage 11.0% 22.0%

Health Statistics Comparison: Franklin park vs South paris

  • In South paris, a higher percentage report poor mental health at 18.7% compared to 14.2% in Franklin park.
  • Higher depression rates are seen in South paris at 26.9% versus 17.7% in Franklin park.
  • South paris has a higher smoking rate at 20.1% compared to 14.4% in Franklin park.
  • Binge drinking is more common in Franklin park at 18.9% compared to 18.1% in South paris.
  • South paris has higher obesity rates at 33.9% compared to 30.9% in Franklin park.
  • There is a higher percentage of disabled individuals in South paris at 22.0% compared to 11.0% in Franklin park.

Education Levels

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

Education Level Franklin park South paris
No Schooling 2.5% (453) 0.2% (5)
High School Diploma 17.0% (3,067) 25.2% (557)
Less than High School 30.2% (5,452) 2.4% (54)
Bachelor's Degree and Higher 12.7% (2,297) 9.6% (213)

Education Levels Comparison: Franklin park vs South paris

  • A higher percentage of residents in Franklin park have no formal schooling at 2.5% compared to 0.2% in South paris.
  • In South paris, the rate of residents with high school diplomas is higher at 25.2% compared to 17.0% in Franklin park.
  • More residents in Franklin park have less than a high school education at 30.2% compared to 2.4% in South paris.
  • A higher percentage of residents in Franklin park hold a bachelor's degree or higher at 12.7% compared to 9.6% in South paris.

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.