Demographics details for Chester, CT vs Gray, ME
Population Overview
Compare main population characteristics in Chester, CT vs Gray, ME.
| Data | Chester | Gray |
|---|---|---|
| Population | 3,994 | 7,761 |
| Median Age | 43.0 years | 43.0 years |
| Median Income | $102,500 | $81,712 |
| Married Families | 64.0% | 60.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 2.1 | 2.1 |
Population Comparison: Chester vs Gray
- The population in Gray is higher at 7,761, compared to 3,994 in Chester.
- The median age is the same in both Chester and Gray at 43.0 years.
- Chester has a higher median income of $102,500 compared to $81,712 in Gray.
- A higher percentage of married families is found in Chester at 64.0% compared to 60.0% in Gray.
- The poverty level is identical in both Chester and Gray at 5%.
- The unemployment rate is the same in both Chester and Gray at 2.1%.
Demographics
Demographics Chester vs Gray provide insight into the diversity of the communities to compare.
| Demographic | Chester | Gray |
|---|---|---|
| Black | 1 | 1 |
| White | 87 | 95 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 3 |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Chester vs Gray
- The percentage of Black residents is the same in both Chester and Gray at 1%.
- The percentage of White residents is higher in Gray at 95% compared to 87% in Chester.
- In Gray, the Asian population stands at 1%, greater than 0% in Chester.
- The Hispanic community is larger in Chester at 5% compared to 3% in Gray.
- More residents identify as two or more races in Chester at 3% compared to 2% in Gray.
- The percentage of American Indian residents is the same in both Chester and Gray at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Gray |
|---|---|---|
| Mental Health Not Good | Data is updating% | Data is updating% |
| Physical Health Not Good | Data is updating% | Data is updating% |
| Depression | Data is updating% | Data is updating% |
| Smoking | Data is updating% | Data is updating% |
| Binge Drinking | Data is updating% | Data is updating% |
| Obesity | Data is updating% | Data is updating% |
| Disability Percentage | Data is updating% | Data is updating% |
Health Statistics Comparison: Chester vs Gray
- Poor mental health levels are equal in both Chester and Gray at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Chester and Gray at 0.0%.
- Binge drinking rates are similar in both Chester and Gray at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are the same in both Chester and Gray at 0.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | Gray |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Less than High School | 0.0% (Data is updating) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 0.0% (Data is updating) |
Education Levels Comparison: Chester vs Gray
- The percentage of residents with no formal schooling is the same in both Chester and Gray at 0.0%.
- Both cities have the same percentage of residents with high school diplomas at 0.0%.
- Both cities report the same percentage of residents with less than a high school education at 0.0%.
- The percentage of residents with a bachelor's degree or higher is identical in both Chester and Gray at 0.0%.
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.