Demographics details for Green, OH vs Monrovia, IN
Population Overview
Compare main population characteristics in Green, OH vs Monrovia, IN.
| Data | Green | Monrovia |
|---|---|---|
| Population | 27,269 | 1,954 |
| Median Age | 41.1 years | 30.2 years |
| Median Income | $90,419 | $84,688 |
| Married Families | 45.0% | 30.0% |
| Poverty Level | 4% | 5% |
| Unemployment Rate | 4.7 | 2.5 |
Population Comparison: Green vs Monrovia
- In Green, the population is higher at 27,269, compared to 1,954 in Monrovia.
- Residents in Green have a higher median age of 41.1 years compared to 30.2 years in Monrovia.
- Green has a higher median income of $90,419 compared to $84,688 in Monrovia.
- A higher percentage of married families is found in Green at 45.0% compared to 30.0% in Monrovia.
- The poverty level is higher in Monrovia at 5%, compared to 4% in Green.
- The unemployment rate in Green is higher at 4.7%, compared to 2.5% in Monrovia.
Demographics
Demographics Green vs Monrovia provide insight into the diversity of the communities to compare.
| Demographic | Green | Monrovia |
|---|---|---|
| Black | 1 | 3 |
| White | 94 | 88 |
| Asian | 1 | 1 |
| Hispanic | 1 | 1 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Green vs Monrovia
- In Monrovia, the percentage of Black residents is higher at 3% compared to 1% in Green.
- Green has a higher percentage of White residents at 94% compared to 88% in Monrovia.
- Both Green and Monrovia have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Green and Monrovia at 1%.
- The percentage of residents identifying as two or more races is higher in Monrovia at 7%, compared to 3% in Green.
- The percentage of American Indian residents is the same in both Green and Monrovia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green | Monrovia |
|---|---|---|
| Mental Health Not Good | 16.6% | 16.7% |
| Physical Health Not Good | 10.5% | 10.6% |
| Depression | 24.7% | 26.0% |
| Smoking | 17.4% | 18.3% |
| Binge Drinking | 19.1% | 19.4% |
| Obesity | 40.2% | 36.3% |
| Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Green vs Monrovia
- In Monrovia, a higher percentage report poor mental health at 16.7% compared to 16.6% in Green.
- Higher depression rates are seen in Monrovia at 26.0% versus 24.7% in Green.
- Monrovia has a higher smoking rate at 18.3% compared to 17.4% in Green.
- More residents engage in binge drinking in Monrovia at 19.4% compared to 19.1% in Green.
- Obesity rates are higher in Green at 40.2% compared to 36.3% in Monrovia.
- There is a higher percentage of disabled individuals in Monrovia at 11.0% compared to 9.0% in Green.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green | Monrovia |
|---|---|---|
| No Schooling | 0.2% (46) | 0.0% (Data is updating) |
| High School Diploma | 16.6% (4,514) | 15.3% (298) |
| Less than High School | 3.0% (828) | 8.8% (171) |
| Bachelor's Degree and Higher | 29.3% (7,977) | 10.0% (196) |
Education Levels Comparison: Green vs Monrovia
- A higher percentage of residents in Green have no formal schooling at 0.2% compared to 0.0% in Monrovia.
- A higher percentage of residents in Green hold a high school diploma at 16.6% compared to 15.3% in Monrovia.
- The percentage of residents with less than a high school education is higher in Monrovia at 8.8%, compared to 3.0% in Green.
- A higher percentage of residents in Green hold a bachelor's degree or higher at 29.3% compared to 10.0% 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.