Demographics details for Monrovia, MD vs Deerfield, IL
Population Overview
Compare main population characteristics in Monrovia, MD vs Deerfield, IL.
| Data | Monrovia | Deerfield |
|---|---|---|
| Population | 2,980 | 18,950 |
| Median Age | 38.9 years | 44.6 years |
| Median Income | $224,886 | $185,762 |
| Married Families | 59.0% | 53.0% |
| Poverty Level | 2% | 3% |
| Unemployment Rate | 3.0 | 3.1 |
Population Comparison: Monrovia vs Deerfield
- The population in Deerfield is higher at 18,950, compared to 2,980 in Monrovia.
- The median age in Deerfield is higher at 44.6 years, compared to 38.9 years in Monrovia.
- Monrovia has a higher median income of $224,886 compared to $185,762 in Deerfield.
- A higher percentage of married families is found in Monrovia at 59.0% compared to 53.0% in Deerfield.
- The poverty level is higher in Deerfield at 3%, compared to 2% in Monrovia.
- Deerfield has a higher unemployment rate at 3.1% compared to 3.0% in Monrovia.
Demographics
Demographics Monrovia vs Deerfield provide insight into the diversity of the communities to compare.
| Demographic | Monrovia | Deerfield |
|---|---|---|
| Black | 26 | Data is updating |
| White | 37 | 87 |
| Asian | 25 | 5 |
| Hispanic | 4 | 5 |
| Two or More Races | 8 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Monrovia vs Deerfield
- A higher percentage of Black residents are in Monrovia at 26% compared to 0% in Deerfield.
- The percentage of White residents is higher in Deerfield at 87% compared to 37% in Monrovia.
- The Asian population is larger in Monrovia at 25% compared to 5% in Deerfield.
- Deerfield has a higher percentage of Hispanic residents at 5%, compared to 4% in Monrovia.
- More residents identify as two or more races in Monrovia at 8% compared to 3% in Deerfield.
- The percentage of American Indian residents is the same in both Monrovia and Deerfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Monrovia | Deerfield |
|---|---|---|
| Mental Health Not Good | 13.9% | 11.9% |
| Physical Health Not Good | 7.3% | 6.6% |
| Depression | 19.6% | 17.8% |
| Smoking | 11.2% | 7.8% |
| Binge Drinking | 18.3% | 19.7% |
| Obesity | 31.3% | 26.9% |
| Disability Percentage | 3.0% | 8.0% |
Health Statistics Comparison: Monrovia vs Deerfield
- More residents in Monrovia report poor mental health at 13.9% compared to 11.9% in Deerfield.
- Depression is more prevalent in Monrovia at 19.6% compared to 17.8% in Deerfield.
- Smoking is more prevalent in Monrovia at 11.2% compared to 7.8% in Deerfield.
- More residents engage in binge drinking in Deerfield at 19.7% compared to 18.3% in Monrovia.
- Obesity rates are higher in Monrovia at 31.3% compared to 26.9% in Deerfield.
- There is a higher percentage of disabled individuals in Deerfield at 8.0% compared to 3.0% in Monrovia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Monrovia | Deerfield |
|---|---|---|
| No Schooling | 0.6% (18) | 0.0% (Data is updating) |
| High School Diploma | 5.9% (177) | 2.6% (493) |
| Less than High School | 2.0% (60) | 1.9% (363) |
| Bachelor's Degree and Higher | 42.0% (1,253) | 56.9% (10,784) |
Education Levels Comparison: Monrovia vs Deerfield
- A higher percentage of residents in Monrovia have no formal schooling at 0.6% compared to 0.0% in Deerfield.
- A higher percentage of residents in Monrovia hold a high school diploma at 5.9% compared to 2.6% in Deerfield.
- More residents in Monrovia have less than a high school education at 2.0% compared to 1.9% in Deerfield.
- In Deerfield, a larger share of residents have a bachelor's degree or higher at 56.9% compared to 42.0% in Monrovia.
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.