Demographics details for Monrovia, MD vs Elmo, UT
Population Overview
Compare main population characteristics in Monrovia, MD vs Elmo, UT.
| Data | Monrovia | Elmo |
|---|---|---|
| Population | 2,980 | 415 |
| Median Age | 38.9 years | 38.3 years |
| Median Income | $224,886 | $62,917 |
| Married Families | 59.0% | 44.0% |
| Poverty Level | 2% | Data is updating |
| Unemployment Rate | 3.0 | 2.5 |
Population Comparison: Monrovia vs Elmo
- In Monrovia, the population is higher at 2,980, compared to 415 in Elmo.
- Residents in Monrovia have a higher median age of 38.9 years compared to 38.3 years in Elmo.
- Monrovia has a higher median income of $224,886 compared to $62,917 in Elmo.
- A higher percentage of married families is found in Monrovia at 59.0% compared to 44.0% in Elmo.
- Monrovia has a higher poverty level at 2% compared to 0% in Elmo.
- The unemployment rate in Monrovia is higher at 3.0%, compared to 2.5% in Elmo.
Demographics
Demographics Monrovia vs Elmo provide insight into the diversity of the communities to compare.
| Demographic | Monrovia | Elmo |
|---|---|---|
| Black | 26 | Data is updating |
| White | 37 | 96 |
| Asian | 25 | Data is updating |
| Hispanic | 4 | 4 |
| Two or More Races | 8 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Monrovia vs Elmo
- A higher percentage of Black residents are in Monrovia at 26% compared to 0% in Elmo.
- The percentage of White residents is higher in Elmo at 96% compared to 37% in Monrovia.
- The Asian population is larger in Monrovia at 25% compared to 0% in Elmo.
- The percentage of Hispanic residents is the same in both Monrovia and Elmo at 4%.
- More residents identify as two or more races in Monrovia at 8% compared to 0% in Elmo.
- The percentage of American Indian residents is the same in both Monrovia and Elmo at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Monrovia | Elmo |
|---|---|---|
| Mental Health Not Good | 13.9% | 17.3% |
| Physical Health Not Good | 7.3% | 11.7% |
| Depression | 19.6% | 22.9% |
| Smoking | 11.2% | 11.9% |
| Binge Drinking | 18.3% | 13.2% |
| Obesity | 31.3% | 36.4% |
| Disability Percentage | 3.0% | 20.0% |
Health Statistics Comparison: Monrovia vs Elmo
- In Elmo, a higher percentage report poor mental health at 17.3% compared to 13.9% in Monrovia.
- Higher depression rates are seen in Elmo at 22.9% versus 19.6% in Monrovia.
- Elmo has a higher smoking rate at 11.9% compared to 11.2% in Monrovia.
- Binge drinking is more common in Monrovia at 18.3% compared to 13.2% in Elmo.
- Elmo has higher obesity rates at 36.4% compared to 31.3% in Monrovia.
- There is a higher percentage of disabled individuals in Elmo at 20.0% 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 | Elmo |
|---|---|---|
| No Schooling | 0.6% (18) | 0.0% (Data is updating) |
| High School Diploma | 5.9% (177) | 8.0% (33) |
| Less than High School | 2.0% (60) | 5.8% (24) |
| Bachelor's Degree and Higher | 42.0% (1,253) | 13.7% (57) |
Education Levels Comparison: Monrovia vs Elmo
- A higher percentage of residents in Monrovia have no formal schooling at 0.6% compared to 0.0% in Elmo.
- In Elmo, the rate of residents with high school diplomas is higher at 8.0% compared to 5.9% in Monrovia.
- The percentage of residents with less than a high school education is higher in Elmo at 5.8%, compared to 2.0% in Monrovia.
- A higher percentage of residents in Monrovia hold a bachelor's degree or higher at 42.0% compared to 13.7% in Elmo.
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.