Demographics details for Lombard, IL vs South miami, FL

Population Overview

Compare main population characteristics in Lombard, IL vs South miami, FL.

Data Lombard South miami
Population 43,856 11,744
Median Age 37.7 years 39.6 years
Median Income $95,509 $78,830
Married Families 44.0% 39.0%
Poverty Level 5% 11%
Unemployment Rate 5.2 5.1

Population Comparison: Lombard vs South miami

  • In Lombard, the population is higher at 43,856, compared to 11,744 in South miami.
  • The median age in South miami is higher at 39.6 years, compared to 37.7 years in Lombard.
  • Lombard has a higher median income of $95,509 compared to $78,830 in South miami.
  • A higher percentage of married families is found in Lombard at 44.0% compared to 39.0% in South miami.
  • The poverty level is higher in South miami at 11%, compared to 5% in Lombard.
  • The unemployment rate in Lombard is higher at 5.2%, compared to 5.1% in South miami.

Demographics

Demographics Lombard vs South miami provide insight into the diversity of the communities to compare.

Demographic Lombard South miami
Black 5 10
White 65 40
Asian 12 4
Hispanic 11 56
Two or More Races 7 33
American Indian Data is updating Data is updating

Demographics Comparison: Lombard vs South miami

  • In South miami, the percentage of Black residents is higher at 10% compared to 5% in Lombard.
  • Lombard has a higher percentage of White residents at 65% compared to 40% in South miami.
  • The Asian population is larger in Lombard at 12% compared to 4% in South miami.
  • South miami has a higher percentage of Hispanic residents at 56%, compared to 11% in Lombard.
  • The percentage of residents identifying as two or more races is higher in South miami at 33%, compared to 7% in Lombard.
  • The percentage of American Indian residents is the same in both Lombard and South miami at 0%.

Health Statistics

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

Health Metric Lombard South miami
Mental Health Not Good 13.0% 13.8%
Physical Health Not Good 8.5% 9.3%
Depression 17.9% 14.9%
Smoking 11.8% 12.2%
Binge Drinking 16.7% 14.9%
Obesity 30.9% 26.2%
Disability Percentage 9.0% 7.0%

Health Statistics Comparison: Lombard vs South miami

  • In South miami, a higher percentage report poor mental health at 13.8% compared to 13.0% in Lombard.
  • Depression is more prevalent in Lombard at 17.9% compared to 14.9% in South miami.
  • South miami has a higher smoking rate at 12.2% compared to 11.8% in Lombard.
  • Binge drinking is more common in Lombard at 16.7% compared to 14.9% in South miami.
  • Obesity rates are higher in Lombard at 30.9% compared to 26.2% in South miami.
  • Disability percentages are higher in Lombard at 9.0% compared to 7.0% in South miami.

Education Levels

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

Education Level Lombard South miami
No Schooling 0.4% (166) 0.3% (32)
High School Diploma 13.2% (5,778) 13.5% (1,585)
Less than High School 3.9% (1,716) 6.8% (799)
Bachelor's Degree and Higher 35.6% (15,594) 40.4% (4,740)

Education Levels Comparison: Lombard vs South miami

  • A higher percentage of residents in Lombard have no formal schooling at 0.4% compared to 0.3% in South miami.
  • In South miami, the rate of residents with high school diplomas is higher at 13.5% compared to 13.2% in Lombard.
  • The percentage of residents with less than a high school education is higher in South miami at 6.8%, compared to 3.9% in Lombard.
  • In South miami, a larger share of residents have a bachelor's degree or higher at 40.4% compared to 35.6% in Lombard.

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.