Demographics details for Sterling, CT vs Hanover, NH
Population Overview
Compare main population characteristics in Sterling, CT vs Hanover, NH.
| Data | Sterling | Hanover |
|---|---|---|
| Population | 3,830 | 8,234 |
| Median Age | 42.0 years | 22.0 years |
| Median Income | $85,000 | $111,958 |
| Married Families | 80.0% | 30.0% |
| Poverty Level | 5% | 14% |
| Unemployment Rate | 2.9 | 2.5 |
Population Comparison: Sterling vs Hanover
- The population in Hanover is higher at 8,234, compared to 3,830 in Sterling.
- Residents in Sterling have a higher median age of 42.0 years compared to 22.0 years in Hanover.
- Hanover has a higher median income of $111,958, compared to $85,000 in Sterling.
- A higher percentage of married families is found in Sterling at 80.0% compared to 30.0% in Hanover.
- The poverty level is higher in Hanover at 14%, compared to 5% in Sterling.
- The unemployment rate in Sterling is higher at 2.9%, compared to 2.5% in Hanover.
Demographics
Demographics Sterling vs Hanover provide insight into the diversity of the communities to compare.
| Demographic | Sterling | Hanover |
|---|---|---|
| Black | 2 | 5 |
| White | 95 | 68 |
| Asian | 1 | 11 |
| Hispanic | 2 | 6 |
| Two or More Races | Data is updating | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sterling vs Hanover
- In Hanover, the percentage of Black residents is higher at 5% compared to 2% in Sterling.
- Sterling has a higher percentage of White residents at 95% compared to 68% in Hanover.
- In Hanover, the Asian population stands at 11%, greater than 1% in Sterling.
- Hanover has a higher percentage of Hispanic residents at 6%, compared to 2% in Sterling.
- The percentage of residents identifying as two or more races is higher in Hanover at 10%, compared to 0% in Sterling.
- The percentage of American Indian residents is the same in both Sterling and Hanover at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sterling | Hanover |
|---|---|---|
| Mental Health Not Good | Data is updating% | 13.9% |
| Physical Health Not Good | Data is updating% | 8.3% |
| Depression | Data is updating% | 23.1% |
| Smoking | Data is updating% | 11.8% |
| Binge Drinking | Data is updating% | 16.8% |
| Obesity | Data is updating% | 27.7% |
| Disability Percentage | Data is updating% | 6.0% |
Health Statistics Comparison: Sterling vs Hanover
- In Hanover, a higher percentage report poor mental health at 13.9% compared to 0.0% in Sterling.
- Higher depression rates are seen in Hanover at 23.1% versus 0.0% in Sterling.
- Hanover has a higher smoking rate at 11.8% compared to 0.0% in Sterling.
- More residents engage in binge drinking in Hanover at 16.8% compared to 0.0% in Sterling.
- Hanover has higher obesity rates at 27.7% compared to 0.0% in Sterling.
- There is a higher percentage of disabled individuals in Hanover at 6.0% compared to 0.0% in Sterling.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sterling | Hanover |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.2% (20) |
| High School Diploma | 0.0% (Data is updating) | 1.2% (102) |
| Less than High School | 0.0% (Data is updating) | 1.7% (143) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 39.4% (3,242) |
Education Levels Comparison: Sterling vs Hanover
- In Hanover, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Sterling.
- In Hanover, the rate of residents with high school diplomas is higher at 1.2% compared to 0.0% in Sterling.
- The percentage of residents with less than a high school education is higher in Hanover at 1.7%, compared to 0.0% in Sterling.
- In Hanover, a larger share of residents have a bachelor's degree or higher at 39.4% compared to 0.0% in Sterling.
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.