Demographics details for Green, OH vs South jordan, UT
Population Overview
Compare main population characteristics in Green, OH vs South jordan, UT.
| Data | Green | South jordan |
|---|---|---|
| Population | 27,269 | 83,513 |
| Median Age | 41.1 years | 34.4 years |
| Median Income | $90,419 | $119,822 |
| Married Families | 45.0% | 44.0% |
| Poverty Level | 4% | 5% |
| Unemployment Rate | 4.7 | 3.7 |
Population Comparison: Green vs South jordan
- The population in South jordan is higher at 83,513, compared to 27,269 in Green.
- Residents in Green have a higher median age of 41.1 years compared to 34.4 years in South jordan.
- South jordan has a higher median income of $119,822, compared to $90,419 in Green.
- A higher percentage of married families is found in Green at 45.0% compared to 44.0% in South jordan.
- The poverty level is higher in South jordan at 5%, compared to 4% in Green.
- The unemployment rate in Green is higher at 4.7%, compared to 3.7% in South jordan.
Demographics
Demographics Green vs South jordan provide insight into the diversity of the communities to compare.
| Demographic | Green | South jordan |
|---|---|---|
| Black | 1 | Data is updating |
| White | 94 | 83 |
| Asian | 1 | 4 |
| Hispanic | 1 | 7 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Green vs South jordan
- A higher percentage of Black residents are in Green at 1% compared to 0% in South jordan.
- Green has a higher percentage of White residents at 94% compared to 83% in South jordan.
- In South jordan, the Asian population stands at 4%, greater than 1% in Green.
- South jordan has a higher percentage of Hispanic residents at 7%, compared to 1% in Green.
- The percentage of residents identifying as two or more races is higher in South jordan at 5%, compared to 3% in Green.
- In South jordan, 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 | South jordan |
|---|---|---|
| Mental Health Not Good | 16.6% | 16.7% |
| Physical Health Not Good | 10.5% | 9.0% |
| Depression | 24.7% | 26.5% |
| Smoking | 17.4% | 7.3% |
| Binge Drinking | 19.1% | 16.9% |
| Obesity | 40.2% | 28.6% |
| Disability Percentage | 9.0% | 6.0% |
Health Statistics Comparison: Green vs South jordan
- In South jordan, a higher percentage report poor mental health at 16.7% compared to 16.6% in Green.
- Higher depression rates are seen in South jordan at 26.5% versus 24.7% in Green.
- Smoking is more prevalent in Green at 17.4% compared to 7.3% in South jordan.
- Binge drinking is more common in Green at 19.1% compared to 16.9% in South jordan.
- Obesity rates are higher in Green at 40.2% compared to 28.6% in South jordan.
- Disability percentages are higher in Green at 9.0% compared to 6.0% in South jordan.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Green | South jordan |
|---|---|---|
| No Schooling | 0.2% (46) | 0.2% (172) |
| High School Diploma | 16.6% (4,514) | 8.4% (6,995) |
| Less than High School | 3.0% (828) | 2.7% (2,236) |
| Bachelor's Degree and Higher | 29.3% (7,977) | 27.1% (22,648) |
Education Levels Comparison: Green vs South jordan
- The percentage of residents with no formal schooling is the same in both Green and South jordan at 0.2%.
- A higher percentage of residents in Green hold a high school diploma at 16.6% compared to 8.4% in South jordan.
- More residents in Green have less than a high school education at 3.0% compared to 2.7% in South jordan.
- A higher percentage of residents in Green hold a bachelor's degree or higher at 29.3% compared to 27.1% in South jordan.
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.