Demographics details for Hilmar, CA vs Franklin park, IL
Population Overview
Compare main population characteristics in Hilmar, CA vs Franklin park, IL.
Data | Hilmar | Franklin park |
---|---|---|
Population | 11,136 | 18,059 |
Median Age | 36.4 years | 36.5 years |
Median Income | $71,753 | $74,167 |
Married Families | 42.0% | 36.0% |
Poverty Level | 15% | 9% |
Unemployment Rate | 4.5 | 5.1 |
Population Comparison: Hilmar vs Franklin park
- The population in Franklin park is higher at 18,059, compared to 11,136 in Hilmar.
- The median age in Franklin park is higher at 36.5 years, compared to 36.4 years in Hilmar.
- Franklin park has a higher median income of $74,167, compared to $71,753 in Hilmar.
- A higher percentage of married families is found in Hilmar at 42.0% compared to 36.0% in Franklin park.
- Hilmar has a higher poverty level at 15% compared to 9% in Franklin park.
- Franklin park has a higher unemployment rate at 5.1% compared to 4.5% in Hilmar.
Demographics
Demographics Hilmar vs Franklin park provide insight into the diversity of the communities to compare.
Demographic | Hilmar | Franklin park |
---|---|---|
Black | 1 | 1 |
White | 52 | 10 |
Asian | 2 | 5 |
Hispanic | 42 | 59 |
Two or More Races | 3 | 23 |
American Indian | Data is updating | 2 |
Demographics Comparison: Hilmar vs Franklin park
- The percentage of Black residents is the same in both Hilmar and Franklin park at 1%.
- Hilmar has a higher percentage of White residents at 52% compared to 10% in Franklin park.
- In Franklin park, the Asian population stands at 5%, greater than 2% in Hilmar.
- Franklin park has a higher percentage of Hispanic residents at 59%, compared to 42% in Hilmar.
- The percentage of residents identifying as two or more races is higher in Franklin park at 23%, compared to 3% in Hilmar.
- In Franklin park, the percentage of American Indian residents is higher at 2%, compared to 0% in Hilmar.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hilmar | 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 | 14.0% | 11.0% |
Health Statistics Comparison: Hilmar vs Franklin park
- In Franklin park, a higher percentage report poor mental health at 14.2% compared to 0.0% in Hilmar.
- Higher depression rates are seen in Franklin park at 17.7% versus 0.0% in Hilmar.
- Franklin park has a higher smoking rate at 14.4% compared to 0.0% in Hilmar.
- More residents engage in binge drinking in Franklin park at 18.9% compared to 0.0% in Hilmar.
- Franklin park has higher obesity rates at 30.9% compared to 0.0% in Hilmar.
- Disability percentages are higher in Hilmar at 14.0% 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 | Hilmar | Franklin park |
---|---|---|
No Schooling | 2.6% (294) | 2.5% (453) |
High School Diploma | 16.8% (1,868) | 17.0% (3,067) |
Less than High School | 35.7% (3,978) | 30.2% (5,452) |
Bachelor's Degree and Higher | 6.9% (769) | 12.7% (2,297) |
Education Levels Comparison: Hilmar vs Franklin park
- A higher percentage of residents in Hilmar have no formal schooling at 2.6% compared to 2.5% in Franklin park.
- In Franklin park, the rate of residents with high school diplomas is higher at 17.0% compared to 16.8% in Hilmar.
- More residents in Hilmar have less than a high school education at 35.7% compared to 30.2% in Franklin park.
- In Franklin park, a larger share of residents have a bachelor's degree or higher at 12.7% compared to 6.9% in Hilmar.
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.