Demographics details for Green, OH vs Pinellas park, FL
Population Overview
Compare main population characteristics in Green, OH vs Pinellas park, FL.
| Data | Green | Pinellas park |
|---|---|---|
| Population | 27,269 | 53,653 |
| Median Age | 41.1 years | 43.9 years |
| Median Income | $90,419 | $62,306 |
| Married Families | 45.0% | 38.0% |
| Poverty Level | 4% | 10% |
| Unemployment Rate | 4.7 | 3.3 |
Population Comparison: Green vs Pinellas park
- The population in Pinellas park is higher at 53,653, compared to 27,269 in Green.
- The median age in Pinellas park is higher at 43.9 years, compared to 41.1 years in Green.
- Green has a higher median income of $90,419 compared to $62,306 in Pinellas park.
- A higher percentage of married families is found in Green at 45.0% compared to 38.0% in Pinellas park.
- The poverty level is higher in Pinellas park at 10%, compared to 4% in Green.
- The unemployment rate in Green is higher at 4.7%, compared to 3.3% in Pinellas park.
Demographics
Demographics Green vs Pinellas park provide insight into the diversity of the communities to compare.
| Demographic | Green | Pinellas park |
|---|---|---|
| Black | 1 | 6 |
| White | 94 | 62 |
| Asian | 1 | 11 |
| Hispanic | 1 | 13 |
| Two or More Races | 3 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Green vs Pinellas park
- In Pinellas park, the percentage of Black residents is higher at 6% compared to 1% in Green.
- Green has a higher percentage of White residents at 94% compared to 62% in Pinellas park.
- In Pinellas park, the Asian population stands at 11%, greater than 1% in Green.
- Pinellas park has a higher percentage of Hispanic residents at 13%, compared to 1% in Green.
- The percentage of residents identifying as two or more races is higher in Pinellas park at 8%, compared to 3% in Green.
- The percentage of American Indian residents is the same in both Green and Pinellas park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green | Pinellas park |
|---|---|---|
| Mental Health Not Good | 16.6% | 16.8% |
| Physical Health Not Good | 10.5% | 11.5% |
| Depression | 24.7% | 19.6% |
| Smoking | 17.4% | 22.3% |
| Binge Drinking | 19.1% | 17.1% |
| Obesity | 40.2% | 27.8% |
| Disability Percentage | 9.0% | 17.0% |
Health Statistics Comparison: Green vs Pinellas park
- In Pinellas park, a higher percentage report poor mental health at 16.8% compared to 16.6% in Green.
- Depression is more prevalent in Green at 24.7% compared to 19.6% in Pinellas park.
- Pinellas park has a higher smoking rate at 22.3% compared to 17.4% in Green.
- Binge drinking is more common in Green at 19.1% compared to 17.1% in Pinellas park.
- Obesity rates are higher in Green at 40.2% compared to 27.8% in Pinellas park.
- There is a higher percentage of disabled individuals in Pinellas park at 17.0% 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 | Pinellas park |
|---|---|---|
| No Schooling | 0.2% (46) | 2.6% (1,420) |
| High School Diploma | 16.6% (4,514) | 17.5% (9,393) |
| Less than High School | 3.0% (828) | 19.3% (10,338) |
| Bachelor's Degree and Higher | 29.3% (7,977) | 17.9% (9,620) |
Education Levels Comparison: Green vs Pinellas park
- In Pinellas park, a larger percentage of residents lack formal schooling at 2.6% compared to 0.2% in Green.
- In Pinellas park, the rate of residents with high school diplomas is higher at 17.5% compared to 16.6% in Green.
- The percentage of residents with less than a high school education is higher in Pinellas park at 19.3%, 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 17.9% in Pinellas park.
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.