Demographics details for Gray, ME vs Franklin park, IL
Population Overview
Compare main population characteristics in Gray, ME vs Franklin park, IL.
Data | Gray | Franklin park |
---|---|---|
Population | 7,761 | 18,059 |
Median Age | 43.0 years | 36.5 years |
Median Income | $81,712 | $74,167 |
Married Families | 60.0% | 36.0% |
Poverty Level | 5% | 9% |
Unemployment Rate | 2.1 | 5.1 |
Population Comparison: Gray vs Franklin park
- The population in Franklin park is higher at 18,059, compared to 7,761 in Gray.
- Residents in Gray have a higher median age of 43.0 years compared to 36.5 years in Franklin park.
- Gray has a higher median income of $81,712 compared to $74,167 in Franklin park.
- A higher percentage of married families is found in Gray at 60.0% compared to 36.0% in Franklin park.
- The poverty level is higher in Franklin park at 9%, compared to 5% in Gray.
- Franklin park has a higher unemployment rate at 5.1% compared to 2.1% in Gray.
Demographics
Demographics Gray vs Franklin park provide insight into the diversity of the communities to compare.
Demographic | Gray | Franklin park |
---|---|---|
Black | 1 | 1 |
White | 95 | 10 |
Asian | 1 | 5 |
Hispanic | 3 | 59 |
Two or More Races | 2 | 23 |
American Indian | Data is updating | 2 |
Demographics Comparison: Gray vs Franklin park
- The percentage of Black residents is the same in both Gray and Franklin park at 1%.
- Gray has a higher percentage of White residents at 95% compared to 10% in Franklin park.
- In Franklin park, the Asian population stands at 5%, greater than 1% in Gray.
- Franklin park has a higher percentage of Hispanic residents at 59%, compared to 3% in Gray.
- The percentage of residents identifying as two or more races is higher in Franklin park at 23%, compared to 2% in Gray.
- In Franklin park, the percentage of American Indian residents is higher at 2%, compared to 0% in Gray.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Gray | Franklin park |
---|---|---|
Mental Health Not Good | Data is updating% | 14.2% |
Physical Health Not Good | Data is updating% | 10.9% |
Depression | Data is updating% | 17.7% |
Smoking | Data is updating% | 14.4% |
Binge Drinking | Data is updating% | 18.9% |
Obesity | Data is updating% | 30.9% |
Disability Percentage | Data is updating% | 11.0% |
Health Statistics Comparison: Gray vs Franklin park
- In Franklin park, a higher percentage report poor mental health at 14.2% compared to 0.0% in Gray.
- Higher depression rates are seen in Franklin park at 17.7% versus 0.0% in Gray.
- Franklin park has a higher smoking rate at 14.4% compared to 0.0% in Gray.
- More residents engage in binge drinking in Franklin park at 18.9% compared to 0.0% in Gray.
- Franklin park has higher obesity rates at 30.9% compared to 0.0% in Gray.
- There is a higher percentage of disabled individuals in Franklin park at 11.0% compared to 0.0% in Gray.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Gray | Franklin park |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.5% (453) |
High School Diploma | 0.0% (Data is updating) | 17.0% (3,067) |
Less than High School | 0.0% (Data is updating) | 30.2% (5,452) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 12.7% (2,297) |
Education Levels Comparison: Gray vs Franklin park
- In Franklin park, a larger percentage of residents lack formal schooling at 2.5% compared to 0.0% in Gray.
- In Franklin park, the rate of residents with high school diplomas is higher at 17.0% compared to 0.0% in Gray.
- The percentage of residents with less than a high school education is higher in Franklin park at 30.2%, compared to 0.0% in Gray.
- In Franklin park, a larger share of residents have a bachelor's degree or higher at 12.7% compared to 0.0% in Gray.
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.