Demographics details for Swanzey, NH vs Green, OH
Population Overview
Compare main population characteristics in Swanzey, NH vs Green, OH.
| Data | Swanzey | Green |
|---|---|---|
| Population | 7,196 | 27,269 |
| Median Age | 45.0 years | 41.1 years |
| Median Income | $70,000 | $90,419 |
| Married Families | 56.0% | 45.0% |
| Poverty Level | 5% | 4% |
| Unemployment Rate | 2.2 | 4.7 |
Population Comparison: Swanzey vs Green
- The population in Green is higher at 27,269, compared to 7,196 in Swanzey.
- Residents in Swanzey have a higher median age of 45.0 years compared to 41.1 years in Green.
- Green has a higher median income of $90,419, compared to $70,000 in Swanzey.
- A higher percentage of married families is found in Swanzey at 56.0% compared to 45.0% in Green.
- Swanzey has a higher poverty level at 5% compared to 4% in Green.
- Green has a higher unemployment rate at 4.7% compared to 2.2% in Swanzey.
Demographics
Demographics Swanzey vs Green provide insight into the diversity of the communities to compare.
| Demographic | Swanzey | Green |
|---|---|---|
| Black | 1 | 1 |
| White | 97 | 94 |
| Asian | 1 | 1 |
| Hispanic | 1 | 1 |
| Two or More Races | Data is updating | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Swanzey vs Green
- The percentage of Black residents is the same in both Swanzey and Green at 1%.
- Swanzey has a higher percentage of White residents at 97% compared to 94% in Green.
- Both Swanzey and Green have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Swanzey and Green at 1%.
- The percentage of residents identifying as two or more races is higher in Green at 3%, compared to 0% in Swanzey.
- The percentage of American Indian residents is the same in both Swanzey and Green at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Swanzey | Green |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.6% |
| Physical Health Not Good | Data is updating% | 10.5% |
| Depression | Data is updating% | 24.7% |
| Smoking | Data is updating% | 17.4% |
| Binge Drinking | Data is updating% | 19.1% |
| Obesity | Data is updating% | 40.2% |
| Disability Percentage | Data is updating% | 9.0% |
Health Statistics Comparison: Swanzey vs Green
- In Green, a higher percentage report poor mental health at 16.6% compared to 0.0% in Swanzey.
- Higher depression rates are seen in Green at 24.7% versus 0.0% in Swanzey.
- Green has a higher smoking rate at 17.4% compared to 0.0% in Swanzey.
- More residents engage in binge drinking in Green at 19.1% compared to 0.0% in Swanzey.
- Green has higher obesity rates at 40.2% compared to 0.0% in Swanzey.
- There is a higher percentage of disabled individuals in Green at 9.0% compared to 0.0% in Swanzey.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Swanzey | Green |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.2% (46) |
| High School Diploma | 0.0% (Data is updating) | 16.6% (4,514) |
| Less than High School | 0.0% (Data is updating) | 3.0% (828) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 29.3% (7,977) |
Education Levels Comparison: Swanzey vs Green
- In Green, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Swanzey.
- In Green, the rate of residents with high school diplomas is higher at 16.6% compared to 0.0% in Swanzey.
- The percentage of residents with less than a high school education is higher in Green at 3.0%, compared to 0.0% in Swanzey.
- In Green, a larger share of residents have a bachelor's degree or higher at 29.3% compared to 0.0% in Swanzey.
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.