Demographics details for Green, OH vs Cheshire, CT
Population Overview
Compare main population characteristics in Green, OH vs Cheshire, CT.
Data | Green | Cheshire |
---|---|---|
Population | 27,269 | 29,179 |
Median Age | 41.1 years | 41.0 years |
Median Income | $90,419 | $110,000 |
Married Families | 45.0% | 68.0% |
Poverty Level | 4% | 4% |
Unemployment Rate | 4.7 | 1.9 |
Population Comparison: Green vs Cheshire
- The population in Cheshire is higher at 29,179, compared to 27,269 in Green.
- Residents in Green have a higher median age of 41.1 years compared to 41.0 years in Cheshire.
- Cheshire has a higher median income of $110,000, compared to $90,419 in Green.
- In Cheshire, the percentage of married families is higher at 68.0%, compared to 45.0% in Green.
- The poverty level is identical in both Green and Cheshire at 4%.
- The unemployment rate in Green is higher at 4.7%, compared to 1.9% in Cheshire.
Demographics
Demographics Green vs Cheshire provide insight into the diversity of the communities to compare.
Demographic | Green | Cheshire |
---|---|---|
Black | 1 | 2 |
White | 94 | 90 |
Asian | 1 | 5 |
Hispanic | 1 | 3 |
Two or More Races | 3 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Green vs Cheshire
- In Cheshire, the percentage of Black residents is higher at 2% compared to 1% in Green.
- Green has a higher percentage of White residents at 94% compared to 90% in Cheshire.
- In Cheshire, the Asian population stands at 5%, greater than 1% in Green.
- Cheshire has a higher percentage of Hispanic residents at 3%, compared to 1% in Green.
- More residents identify as two or more races in Green at 3% compared to 2% in Cheshire.
- The percentage of American Indian residents is the same in both Green and Cheshire at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Green | Cheshire |
---|---|---|
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 Cheshire
- More residents in Green report poor mental health at 16.6% compared to 0.0% in Cheshire.
- Depression is more prevalent in Green at 24.7% compared to 0.0% in Cheshire.
- Smoking is more prevalent in Green at 17.4% compared to 0.0% in Cheshire.
- Binge drinking is more common in Green at 19.1% compared to 0.0% in Cheshire.
- Obesity rates are higher in Green at 40.2% compared to 0.0% in Cheshire.
- Disability percentages are higher in Green at 9.0% compared to 0.0% in Cheshire.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Green | Cheshire |
---|---|---|
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 Cheshire
- A higher percentage of residents in Green have no formal schooling at 0.2% compared to 0.0% in Cheshire.
- A higher percentage of residents in Green hold a high school diploma at 16.6% compared to 0.0% in Cheshire.
- More residents in Green have less than a high school education at 3.0% compared to 0.0% in Cheshire.
- A higher percentage of residents in Green hold a bachelor's degree or higher at 29.3% compared to 0.0% in Cheshire.
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.