Demographics details for Spanish fork, UT vs Lombard, IL
Population Overview
Compare main population characteristics in Spanish fork, UT vs Lombard, IL.
Data | Spanish fork | Lombard |
---|---|---|
Population | 44,102 | 43,856 |
Median Age | 27.4 years | 37.7 years |
Median Income | $93,989 | $95,509 |
Married Families | 43.0% | 44.0% |
Poverty Level | 6% | 5% |
Unemployment Rate | 3.8 | 5.2 |
Population Comparison: Spanish fork vs Lombard
- In Spanish fork, the population is higher at 44,102, compared to 43,856 in Lombard.
- The median age in Lombard is higher at 37.7 years, compared to 27.4 years in Spanish fork.
- Lombard has a higher median income of $95,509, compared to $93,989 in Spanish fork.
- In Lombard, the percentage of married families is higher at 44.0%, compared to 43.0% in Spanish fork.
- Spanish fork has a higher poverty level at 6% compared to 5% in Lombard.
- Lombard has a higher unemployment rate at 5.2% compared to 3.8% in Spanish fork.
Demographics
Demographics Spanish fork vs Lombard provide insight into the diversity of the communities to compare.
Demographic | Spanish fork | Lombard |
---|---|---|
Black | 1 | 5 |
White | 80 | 65 |
Asian | Data is updating | 12 |
Hispanic | 12 | 11 |
Two or More Races | 7 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Spanish fork vs Lombard
- In Lombard, the percentage of Black residents is higher at 5% compared to 1% in Spanish fork.
- Spanish fork has a higher percentage of White residents at 80% compared to 65% in Lombard.
- In Lombard, the Asian population stands at 12%, greater than 0% in Spanish fork.
- The Hispanic community is larger in Spanish fork at 12% compared to 11% in Lombard.
- Both Spanish fork and Lombard have the same percentage of residents identifying as two or more races at 7%.
- The percentage of American Indian residents is the same in both Spanish fork and Lombard at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Spanish fork | Lombard |
---|---|---|
Mental Health Not Good | 15.0% | 13.0% |
Physical Health Not Good | 10.8% | 8.5% |
Depression | 23.8% | 17.9% |
Smoking | 7.7% | 11.8% |
Binge Drinking | 8.3% | 16.7% |
Obesity | 31.0% | 30.9% |
Disability Percentage | 8.0% | 9.0% |
Health Statistics Comparison: Spanish fork vs Lombard
- More residents in Spanish fork report poor mental health at 15.0% compared to 13.0% in Lombard.
- Depression is more prevalent in Spanish fork at 23.8% compared to 17.9% in Lombard.
- Lombard has a higher smoking rate at 11.8% compared to 7.7% in Spanish fork.
- More residents engage in binge drinking in Lombard at 16.7% compared to 8.3% in Spanish fork.
- Obesity rates are higher in Spanish fork at 31.0% compared to 30.9% in Lombard.
- There is a higher percentage of disabled individuals in Lombard at 9.0% compared to 8.0% in Spanish fork.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Spanish fork | Lombard |
---|---|---|
No Schooling | 0.4% (175) | 0.4% (166) |
High School Diploma | 9.1% (4,010) | 13.2% (5,778) |
Less than High School | 5.9% (2,583) | 3.9% (1,716) |
Bachelor's Degree and Higher | 19.4% (8,546) | 35.6% (15,594) |
Education Levels Comparison: Spanish fork vs Lombard
- The percentage of residents with no formal schooling is the same in both Spanish fork and Lombard at 0.4%.
- In Lombard, the rate of residents with high school diplomas is higher at 13.2% compared to 9.1% in Spanish fork.
- More residents in Spanish fork have less than a high school education at 5.9% 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 19.4% in Spanish fork.
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.