Demographics details for Grove city, OH vs Hanover, NH
Population Overview
Compare main population characteristics in Grove city, OH vs Hanover, NH.
| Data | Grove city | Hanover |
|---|---|---|
| Population | 42,233 | 8,234 |
| Median Age | 40.6 years | 22.0 years |
| Median Income | $84,765 | $111,958 |
| Married Families | 45.0% | 30.0% |
| Poverty Level | 7% | 14% |
| Unemployment Rate | 4.3 | 2.5 |
Population Comparison: Grove city vs Hanover
- In Grove city, the population is higher at 42,233, compared to 8,234 in Hanover.
- Residents in Grove city have a higher median age of 40.6 years compared to 22.0 years in Hanover.
- Hanover has a higher median income of $111,958, compared to $84,765 in Grove city.
- A higher percentage of married families is found in Grove city at 45.0% compared to 30.0% in Hanover.
- The poverty level is higher in Hanover at 14%, compared to 7% in Grove city.
- The unemployment rate in Grove city is higher at 4.3%, compared to 2.5% in Hanover.
Demographics
Demographics Grove city vs Hanover provide insight into the diversity of the communities to compare.
| Demographic | Grove city | Hanover |
|---|---|---|
| Black | 4 | 5 |
| White | 86 | 68 |
| Asian | 3 | 11 |
| Hispanic | 3 | 6 |
| Two or More Races | 4 | 10 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Grove city vs Hanover
- In Hanover, the percentage of Black residents is higher at 5% compared to 4% in Grove city.
- Grove city has a higher percentage of White residents at 86% compared to 68% in Hanover.
- In Hanover, the Asian population stands at 11%, greater than 3% in Grove city.
- Hanover has a higher percentage of Hispanic residents at 6%, compared to 3% in Grove city.
- The percentage of residents identifying as two or more races is higher in Hanover at 10%, compared to 4% in Grove city.
- The percentage of American Indian residents is the same in both Grove city and Hanover at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Grove city | Hanover |
|---|---|---|
| Mental Health Not Good | 17.0% | 13.9% |
| Physical Health Not Good | 10.1% | 8.3% |
| Depression | 25.1% | 23.1% |
| Smoking | 16.5% | 11.8% |
| Binge Drinking | 20.7% | 16.8% |
| Obesity | 33.1% | 27.7% |
| Disability Percentage | 11.0% | 6.0% |
Health Statistics Comparison: Grove city vs Hanover
- More residents in Grove city report poor mental health at 17.0% compared to 13.9% in Hanover.
- Depression is more prevalent in Grove city at 25.1% compared to 23.1% in Hanover.
- Smoking is more prevalent in Grove city at 16.5% compared to 11.8% in Hanover.
- Binge drinking is more common in Grove city at 20.7% compared to 16.8% in Hanover.
- Obesity rates are higher in Grove city at 33.1% compared to 27.7% in Hanover.
- Disability percentages are higher in Grove city at 11.0% compared to 6.0% in Hanover.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Grove city | Hanover |
|---|---|---|
| No Schooling | 0.7% (302) | 0.2% (20) |
| High School Diploma | 18.7% (7,916) | 1.2% (102) |
| Less than High School | 8.5% (3,598) | 1.7% (143) |
| Bachelor's Degree and Higher | 22.9% (9,679) | 39.4% (3,242) |
Education Levels Comparison: Grove city vs Hanover
- A higher percentage of residents in Grove city have no formal schooling at 0.7% compared to 0.2% in Hanover.
- A higher percentage of residents in Grove city hold a high school diploma at 18.7% compared to 1.2% in Hanover.
- More residents in Grove city have less than a high school education at 8.5% compared to 1.7% in Hanover.
- In Hanover, a larger share of residents have a bachelor's degree or higher at 39.4% compared to 22.9% in Grove city.
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.