Demographics details for Green, OH vs Pleasant hill, OR
Population Overview
Compare main population characteristics in Green, OH vs Pleasant hill, OR.
| Data | Green | Pleasant hill |
|---|---|---|
| Population | 27,269 | 5,046 |
| Median Age | 41.1 years | 48.6 years |
| Median Income | $90,419 | $77,188 |
| Married Families | 45.0% | 48.0% |
| Poverty Level | 4% | 8% |
| Unemployment Rate | 4.7 | 4.2 |
Population Comparison: Green vs Pleasant hill
- In Green, the population is higher at 27,269, compared to 5,046 in Pleasant hill.
- The median age in Pleasant hill is higher at 48.6 years, compared to 41.1 years in Green.
- Green has a higher median income of $90,419 compared to $77,188 in Pleasant hill.
- In Pleasant hill, the percentage of married families is higher at 48.0%, compared to 45.0% in Green.
- The poverty level is higher in Pleasant hill at 8%, compared to 4% in Green.
- The unemployment rate in Green is higher at 4.7%, compared to 4.2% in Pleasant hill.
Demographics
Demographics Green vs Pleasant hill provide insight into the diversity of the communities to compare.
| Demographic | Green | Pleasant hill |
|---|---|---|
| Black | 1 | 1 |
| White | 94 | 92 |
| Asian | 1 | 1 |
| Hispanic | 1 | 2 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Green vs Pleasant hill
- The percentage of Black residents is the same in both Green and Pleasant hill at 1%.
- Green has a higher percentage of White residents at 94% compared to 92% in Pleasant hill.
- Both Green and Pleasant hill have the same percentage of Asian residents at 1%.
- Pleasant hill has a higher percentage of Hispanic residents at 2%, compared to 1% in Green.
- Both Green and Pleasant hill have the same percentage of residents identifying as two or more races at 3%.
- In Pleasant hill, the percentage of American Indian residents is higher at 1%, compared to 0% in Green.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green | Pleasant hill |
|---|---|---|
| Mental Health Not Good | 16.6% | Data is updating% |
| Physical Health Not Good | 10.5% | Data is updating% |
| Depression | 24.7% | Data is updating% |
| Smoking | 17.4% | Data is updating% |
| Binge Drinking | 19.1% | Data is updating% |
| Obesity | 40.2% | Data is updating% |
| Disability Percentage | 9.0% | 18.0% |
Health Statistics Comparison: Green vs Pleasant hill
- More residents in Green report poor mental health at 16.6% compared to 0.0% in Pleasant hill.
- Depression is more prevalent in Green at 24.7% compared to 0.0% in Pleasant hill.
- Smoking is more prevalent in Green at 17.4% compared to 0.0% in Pleasant hill.
- Binge drinking is more common in Green at 19.1% compared to 0.0% in Pleasant hill.
- Obesity rates are higher in Green at 40.2% compared to 0.0% in Pleasant hill.
- There is a higher percentage of disabled individuals in Pleasant hill at 18.0% 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 | Pleasant hill |
|---|---|---|
| No Schooling | 0.2% (46) | 0.1% (6) |
| High School Diploma | 16.6% (4,514) | 16.9% (852) |
| Less than High School | 3.0% (828) | 8.2% (414) |
| Bachelor's Degree and Higher | 29.3% (7,977) | 19.1% (965) |
Education Levels Comparison: Green vs Pleasant hill
- A higher percentage of residents in Green have no formal schooling at 0.2% compared to 0.1% in Pleasant hill.
- In Pleasant hill, the rate of residents with high school diplomas is higher at 16.9% compared to 16.6% in Green.
- The percentage of residents with less than a high school education is higher in Pleasant hill at 8.2%, 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 19.1% in Pleasant hill.
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.