Demographics details for Green, OH vs Provincetown, MA
Population Overview
Compare main population characteristics in Green, OH vs Provincetown, MA.
| Data | Green | Provincetown |
|---|---|---|
| Population | 27,269 | 2,943 |
| Median Age | 41.1 years | 57.0 years |
| Median Income | $90,419 | $52,750 |
| Married Families | 45.0% | 30.0% |
| Poverty Level | 4% | 12% |
| Unemployment Rate | 4.7 | 5.9 |
Population Comparison: Green vs Provincetown
- In Green, the population is higher at 27,269, compared to 2,943 in Provincetown.
- The median age in Provincetown is higher at 57.0 years, compared to 41.1 years in Green.
- Green has a higher median income of $90,419 compared to $52,750 in Provincetown.
- A higher percentage of married families is found in Green at 45.0% compared to 30.0% in Provincetown.
- The poverty level is higher in Provincetown at 12%, compared to 4% in Green.
- Provincetown has a higher unemployment rate at 5.9% compared to 4.7% in Green.
Demographics
Demographics Green vs Provincetown provide insight into the diversity of the communities to compare.
| Demographic | Green | Provincetown |
|---|---|---|
| Black | 1 | 1 |
| White | 94 | 95 |
| Asian | 1 | 1 |
| Hispanic | 1 | 2 |
| Two or More Races | 3 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Green vs Provincetown
- The percentage of Black residents is the same in both Green and Provincetown at 1%.
- The percentage of White residents is higher in Provincetown at 95% compared to 94% in Green.
- Both Green and Provincetown have the same percentage of Asian residents at 1%.
- Provincetown has a higher percentage of Hispanic residents at 2%, compared to 1% in Green.
- More residents identify as two or more races in Green at 3% compared to 1% in Provincetown.
- The percentage of American Indian residents is the same in both Green and Provincetown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green | Provincetown |
|---|---|---|
| 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% | Data is updating% |
Health Statistics Comparison: Green vs Provincetown
- More residents in Green report poor mental health at 16.6% compared to 0.0% in Provincetown.
- Depression is more prevalent in Green at 24.7% compared to 0.0% in Provincetown.
- Smoking is more prevalent in Green at 17.4% compared to 0.0% in Provincetown.
- Binge drinking is more common in Green at 19.1% compared to 0.0% in Provincetown.
- Obesity rates are higher in Green at 40.2% compared to 0.0% in Provincetown.
- Disability percentages are higher in Green at 9.0% compared to 0.0% in Provincetown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green | Provincetown |
|---|---|---|
| No Schooling | 0.2% (46) | 0.0% (Data is updating) |
| High School Diploma | 16.6% (4,514) | 0.0% (Data is updating) |
| Less than High School | 3.0% (828) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 29.3% (7,977) | 0.0% (Data is updating) |
Education Levels Comparison: Green vs Provincetown
- A higher percentage of residents in Green have no formal schooling at 0.2% compared to 0.0% in Provincetown.
- A higher percentage of residents in Green hold a high school diploma at 16.6% compared to 0.0% in Provincetown.
- More residents in Green have less than a high school education at 3.0% compared to 0.0% in Provincetown.
- A higher percentage of residents in Green hold a bachelor's degree or higher at 29.3% compared to 0.0% in Provincetown.
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.