Demographics details for Franklin, NE vs Lombard, IL
Population Overview
Compare main population characteristics in Franklin, NE vs Lombard, IL.
Data | Franklin | Lombard |
---|---|---|
Population | 2,873 | 43,856 |
Median Age | 49.8 years | 37.7 years |
Median Income | $55,625 | $95,509 |
Married Families | 51.0% | 44.0% |
Poverty Level | Data is updating | 5% |
Unemployment Rate | 3.2 | 5.2 |
Population Comparison: Franklin vs Lombard
- The population in Lombard is higher at 43,856, compared to 2,873 in Franklin.
- Residents in Franklin have a higher median age of 49.8 years compared to 37.7 years in Lombard.
- Lombard has a higher median income of $95,509, compared to $55,625 in Franklin.
- A higher percentage of married families is found in Franklin at 51.0% compared to 44.0% in Lombard.
- The poverty level is higher in Lombard at 5%, compared to 0% in Franklin.
- Lombard has a higher unemployment rate at 5.2% compared to 3.2% in Franklin.
Demographics
Demographics Franklin vs Lombard provide insight into the diversity of the communities to compare.
Demographic | Franklin | Lombard |
---|---|---|
Black | Data is updating | 5 |
White | 94 | 65 |
Asian | Data is updating | 12 |
Hispanic | 3 | 11 |
Two or More Races | 2 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: Franklin vs Lombard
- In Lombard, the percentage of Black residents is higher at 5% compared to 0% in Franklin.
- Franklin has a higher percentage of White residents at 94% compared to 65% in Lombard.
- In Lombard, the Asian population stands at 12%, greater than 0% in Franklin.
- Lombard has a higher percentage of Hispanic residents at 11%, compared to 3% in Franklin.
- The percentage of residents identifying as two or more races is higher in Lombard at 7%, compared to 2% in Franklin.
- A greater percentage of American Indian residents live in Franklin at 1% compared to 0% in Lombard.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Franklin | Lombard |
---|---|---|
Mental Health Not Good | 15.4% | 13.0% |
Physical Health Not Good | 10.8% | 8.5% |
Depression | 18.5% | 17.9% |
Smoking | 19.6% | 11.8% |
Binge Drinking | 20.2% | 16.7% |
Obesity | 43.8% | 30.9% |
Disability Percentage | 18.0% | 9.0% |
Health Statistics Comparison: Franklin vs Lombard
- More residents in Franklin report poor mental health at 15.4% compared to 13.0% in Lombard.
- Depression is more prevalent in Franklin at 18.5% compared to 17.9% in Lombard.
- Smoking is more prevalent in Franklin at 19.6% compared to 11.8% in Lombard.
- Binge drinking is more common in Franklin at 20.2% compared to 16.7% in Lombard.
- Obesity rates are higher in Franklin at 43.8% compared to 30.9% in Lombard.
- Disability percentages are higher in Franklin at 18.0% compared to 9.0% in Lombard.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Franklin | Lombard |
---|---|---|
No Schooling | 0.2% (6) | 0.4% (166) |
High School Diploma | 21.8% (627) | 13.2% (5,778) |
Less than High School | 10.1% (289) | 3.9% (1,716) |
Bachelor's Degree and Higher | 14.5% (416) | 35.6% (15,594) |
Education Levels Comparison: Franklin vs Lombard
- In Lombard, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Franklin.
- A higher percentage of residents in Franklin hold a high school diploma at 21.8% compared to 13.2% in Lombard.
- More residents in Franklin have less than a high school education at 10.1% compared to 3.9% in Lombard.
- In Lombard, a larger share of residents have a bachelor's degree or higher at 35.6% compared to 14.5% in Franklin.
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.