Demographics details for Green, OH vs West union, SC
Population Overview
Compare main population characteristics in Green, OH vs West union, SC.
| Data | Green | West union |
|---|---|---|
| Population | 27,269 | 381 |
| Median Age | 41.1 years | 33.2 years |
| Median Income | $90,419 | $46,875 |
| Married Families | 45.0% | 43.0% |
| Poverty Level | 4% | 12% |
| Unemployment Rate | 4.7 | 5.0 |
Population Comparison: Green vs West union
- In Green, the population is higher at 27,269, compared to 381 in West union.
- Residents in Green have a higher median age of 41.1 years compared to 33.2 years in West union.
- Green has a higher median income of $90,419 compared to $46,875 in West union.
- A higher percentage of married families is found in Green at 45.0% compared to 43.0% in West union.
- The poverty level is higher in West union at 12%, compared to 4% in Green.
- West union has a higher unemployment rate at 5.0% compared to 4.7% in Green.
Demographics
Demographics Green vs West union provide insight into the diversity of the communities to compare.
| Demographic | Green | West union |
|---|---|---|
| Black | 1 | 6 |
| White | 94 | 57 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | 19 |
| Two or More Races | 3 | 18 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Green vs West union
- In West union, 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 57% in West union.
- The Asian population is larger in Green at 1% compared to 0% in West union.
- West union has a higher percentage of Hispanic residents at 19%, compared to 1% in Green.
- The percentage of residents identifying as two or more races is higher in West union at 18%, compared to 3% in Green.
- The percentage of American Indian residents is the same in both Green and West union at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Green | West union |
|---|---|---|
| Mental Health Not Good | 16.6% | 19.4% |
| Physical Health Not Good | 10.5% | 14.1% |
| Depression | 24.7% | 24.4% |
| Smoking | 17.4% | 22.0% |
| Binge Drinking | 19.1% | 17.4% |
| Obesity | 40.2% | 37.2% |
| Disability Percentage | 9.0% | 16.0% |
Health Statistics Comparison: Green vs West union
- In West union, a higher percentage report poor mental health at 19.4% compared to 16.6% in Green.
- Depression is more prevalent in Green at 24.7% compared to 24.4% in West union.
- West union has a higher smoking rate at 22.0% compared to 17.4% in Green.
- Binge drinking is more common in Green at 19.1% compared to 17.4% in West union.
- Obesity rates are higher in Green at 40.2% compared to 37.2% in West union.
- There is a higher percentage of disabled individuals in West union at 16.0% 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 | West union |
|---|---|---|
| No Schooling | 0.2% (46) | 0.8% (3) |
| High School Diploma | 16.6% (4,514) | 17.3% (66) |
| Less than High School | 3.0% (828) | 14.7% (56) |
| Bachelor's Degree and Higher | 29.3% (7,977) | 10.8% (41) |
Education Levels Comparison: Green vs West union
- In West union, a larger percentage of residents lack formal schooling at 0.8% compared to 0.2% in Green.
- In West union, the rate of residents with high school diplomas is higher at 17.3% compared to 16.6% in Green.
- The percentage of residents with less than a high school education is higher in West union at 14.7%, 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 10.8% in West union.
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.