Demographics details for Cheshire, CT vs Suffolk, VA
Population Overview
Compare main population characteristics in Cheshire, CT vs Suffolk, VA.
| Data | Cheshire | Suffolk |
|---|---|---|
| Population | 29,179 | 98,537 |
| Median Age | 41.0 years | 38.5 years |
| Median Income | $110,000 | $87,758 |
| Married Families | 68.0% | 40.0% |
| Poverty Level | 4% | 7% |
| Unemployment Rate | 1.9 | 3.2 |
Population Comparison: Cheshire vs Suffolk
- The population in Suffolk is higher at 98,537, compared to 29,179 in Cheshire.
- Residents in Cheshire have a higher median age of 41.0 years compared to 38.5 years in Suffolk.
- Cheshire has a higher median income of $110,000 compared to $87,758 in Suffolk.
- A higher percentage of married families is found in Cheshire at 68.0% compared to 40.0% in Suffolk.
- The poverty level is higher in Suffolk at 7%, compared to 4% in Cheshire.
- Suffolk has a higher unemployment rate at 3.2% compared to 1.9% in Cheshire.
Demographics
Demographics Cheshire vs Suffolk provide insight into the diversity of the communities to compare.
| Demographic | Cheshire | Suffolk |
|---|---|---|
| Black | 2 | 40 |
| White | 90 | 47 |
| Asian | 5 | 2 |
| Hispanic | 3 | 5 |
| Two or More Races | 2 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cheshire vs Suffolk
- In Suffolk, the percentage of Black residents is higher at 40% compared to 2% in Cheshire.
- Cheshire has a higher percentage of White residents at 90% compared to 47% in Suffolk.
- The Asian population is larger in Cheshire at 5% compared to 2% in Suffolk.
- Suffolk has a higher percentage of Hispanic residents at 5%, compared to 3% in Cheshire.
- The percentage of residents identifying as two or more races is higher in Suffolk at 6%, compared to 2% in Cheshire.
- The percentage of American Indian residents is the same in both Cheshire and Suffolk at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cheshire | Suffolk |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.6% |
| Physical Health Not Good | Data is updating% | 10.6% |
| Depression | Data is updating% | 21.4% |
| Smoking | Data is updating% | 15.3% |
| Binge Drinking | Data is updating% | 16.6% |
| Obesity | Data is updating% | 42.4% |
| Disability Percentage | Data is updating% | 11.0% |
Health Statistics Comparison: Cheshire vs Suffolk
- In Suffolk, a higher percentage report poor mental health at 16.6% compared to 0.0% in Cheshire.
- Higher depression rates are seen in Suffolk at 21.4% versus 0.0% in Cheshire.
- Suffolk has a higher smoking rate at 15.3% compared to 0.0% in Cheshire.
- More residents engage in binge drinking in Suffolk at 16.6% compared to 0.0% in Cheshire.
- Suffolk has higher obesity rates at 42.4% compared to 0.0% in Cheshire.
- There is a higher percentage of disabled individuals in Suffolk at 11.0% 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 | Cheshire | Suffolk |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (965) |
| High School Diploma | 0.0% (Data is updating) | 14.9% (14,643) |
| Less than High School | 0.0% (Data is updating) | 7.8% (7,701) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 21.0% (20,740) |
Education Levels Comparison: Cheshire vs Suffolk
- In Suffolk, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Cheshire.
- In Suffolk, the rate of residents with high school diplomas is higher at 14.9% compared to 0.0% in Cheshire.
- The percentage of residents with less than a high school education is higher in Suffolk at 7.8%, compared to 0.0% in Cheshire.
- In Suffolk, a larger share of residents have a bachelor's degree or higher at 21.0% 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.