Demographics details for Chester, CT vs Senoia, GA
Population Overview
Compare main population characteristics in Chester, CT vs Senoia, GA.
| Data | Chester | Senoia |
|---|---|---|
| Population | 3,994 | 5,663 |
| Median Age | 43.0 years | 35.8 years |
| Median Income | $102,500 | $114,423 |
| Married Families | 64.0% | 48.0% |
| Poverty Level | 5% | 3% |
| Unemployment Rate | 2.1 | 3.0 |
Population Comparison: Chester vs Senoia
- The population in Senoia is higher at 5,663, compared to 3,994 in Chester.
- Residents in Chester have a higher median age of 43.0 years compared to 35.8 years in Senoia.
- Senoia has a higher median income of $114,423, compared to $102,500 in Chester.
- A higher percentage of married families is found in Chester at 64.0% compared to 48.0% in Senoia.
- Chester has a higher poverty level at 5% compared to 3% in Senoia.
- Senoia has a higher unemployment rate at 3.0% compared to 2.1% in Chester.
Demographics
Demographics Chester vs Senoia provide insight into the diversity of the communities to compare.
| Demographic | Chester | Senoia |
|---|---|---|
| Black | 1 | 16 |
| White | 87 | 74 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 3 |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Chester vs Senoia
- In Senoia, the percentage of Black residents is higher at 16% compared to 1% in Chester.
- Chester has a higher percentage of White residents at 87% compared to 74% in Senoia.
- In Senoia, the Asian population stands at 1%, greater than 0% in Chester.
- The Hispanic community is larger in Chester at 5% compared to 3% in Senoia.
- The percentage of residents identifying as two or more races is higher in Senoia at 6%, compared to 3% in Chester.
- The percentage of American Indian residents is the same in both Chester and Senoia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Senoia |
|---|---|---|
| Mental Health Not Good | Data is updating% | 15.0% |
| Physical Health Not Good | Data is updating% | 10.0% |
| Depression | Data is updating% | 20.5% |
| Smoking | Data is updating% | 13.2% |
| Binge Drinking | Data is updating% | 17.5% |
| Obesity | Data is updating% | 32.0% |
| Disability Percentage | Data is updating% | 8.0% |
Health Statistics Comparison: Chester vs Senoia
- In Senoia, a higher percentage report poor mental health at 15.0% compared to 0.0% in Chester.
- Higher depression rates are seen in Senoia at 20.5% versus 0.0% in Chester.
- Senoia has a higher smoking rate at 13.2% compared to 0.0% in Chester.
- More residents engage in binge drinking in Senoia at 17.5% compared to 0.0% in Chester.
- Senoia has higher obesity rates at 32.0% compared to 0.0% in Chester.
- There is a higher percentage of disabled individuals in Senoia at 8.0% compared to 0.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | Senoia |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (24) |
| High School Diploma | 0.0% (Data is updating) | 10.0% (564) |
| Less than High School | 0.0% (Data is updating) | 4.6% (258) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 31.6% (1,788) |
Education Levels Comparison: Chester vs Senoia
- In Senoia, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Chester.
- In Senoia, the rate of residents with high school diplomas is higher at 10.0% compared to 0.0% in Chester.
- The percentage of residents with less than a high school education is higher in Senoia at 4.6%, compared to 0.0% in Chester.
- In Senoia, a larger share of residents have a bachelor's degree or higher at 31.6% compared to 0.0% in Chester.
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.