Demographics details for Monrovia, MD vs Green, OH
Population Overview
Compare main population characteristics in Monrovia, MD vs Green, OH.
| Data | Monrovia | Green |
|---|---|---|
| Population | 2,980 | 27,269 |
| Median Age | 38.9 years | 41.1 years |
| Median Income | $224,886 | $90,419 |
| Married Families | 59.0% | 45.0% |
| Poverty Level | 2% | 4% |
| Unemployment Rate | 3.0 | 4.7 |
Population Comparison: Monrovia vs Green
- The population in Green is higher at 27,269, compared to 2,980 in Monrovia.
- The median age in Green is higher at 41.1 years, compared to 38.9 years in Monrovia.
- Monrovia has a higher median income of $224,886 compared to $90,419 in Green.
- A higher percentage of married families is found in Monrovia at 59.0% compared to 45.0% in Green.
- The poverty level is higher in Green at 4%, compared to 2% in Monrovia.
- Green has a higher unemployment rate at 4.7% compared to 3.0% in Monrovia.
Demographics
Demographics Monrovia vs Green provide insight into the diversity of the communities to compare.
| Demographic | Monrovia | Green |
|---|---|---|
| Black | 26 | 1 |
| White | 37 | 94 |
| Asian | 25 | 1 |
| Hispanic | 4 | 1 |
| Two or More Races | 8 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Monrovia vs Green
- A higher percentage of Black residents are in Monrovia at 26% compared to 1% in Green.
- The percentage of White residents is higher in Green at 94% compared to 37% in Monrovia.
- The Asian population is larger in Monrovia at 25% compared to 1% in Green.
- The Hispanic community is larger in Monrovia at 4% compared to 1% in Green.
- More residents identify as two or more races in Monrovia at 8% compared to 3% in Green.
- The percentage of American Indian residents is the same in both Monrovia and Green at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Monrovia | Green |
|---|---|---|
| Mental Health Not Good | 13.9% | 16.6% |
| Physical Health Not Good | 7.3% | 10.5% |
| Depression | 19.6% | 24.7% |
| Smoking | 11.2% | 17.4% |
| Binge Drinking | 18.3% | 19.1% |
| Obesity | 31.3% | 40.2% |
| Disability Percentage | 3.0% | 9.0% |
Health Statistics Comparison: Monrovia vs Green
- In Green, a higher percentage report poor mental health at 16.6% compared to 13.9% in Monrovia.
- Higher depression rates are seen in Green at 24.7% versus 19.6% in Monrovia.
- Green has a higher smoking rate at 17.4% compared to 11.2% in Monrovia.
- More residents engage in binge drinking in Green at 19.1% compared to 18.3% in Monrovia.
- Green has higher obesity rates at 40.2% compared to 31.3% in Monrovia.
- There is a higher percentage of disabled individuals in Green at 9.0% 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 | Green |
|---|---|---|
| No Schooling | 0.6% (18) | 0.2% (46) |
| High School Diploma | 5.9% (177) | 16.6% (4,514) |
| Less than High School | 2.0% (60) | 3.0% (828) |
| Bachelor's Degree and Higher | 42.0% (1,253) | 29.3% (7,977) |
Education Levels Comparison: Monrovia vs Green
- A higher percentage of residents in Monrovia have no formal schooling at 0.6% compared to 0.2% in Green.
- In Green, the rate of residents with high school diplomas is higher at 16.6% compared to 5.9% in Monrovia.
- The percentage of residents with less than a high school education is higher in Green at 3.0%, 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 29.3% in Green.
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.