Demographics details for Grove city, OH vs Blue mounds, WI
Population Overview
Compare main population characteristics in Grove city, OH vs Blue mounds, WI.
Data | Grove city | Blue mounds |
---|---|---|
Population | 42,233 | 924 |
Median Age | 40.6 years | 37.0 years |
Median Income | $84,765 | $71,094 |
Married Families | 45.0% | 34.0% |
Poverty Level | 7% | 8% |
Unemployment Rate | 4.3 | 2.4 |
Population Comparison: Grove city vs Blue mounds
- In Grove city, the population is higher at 42,233, compared to 924 in Blue mounds.
- Residents in Grove city have a higher median age of 40.6 years compared to 37.0 years in Blue mounds.
- Grove city has a higher median income of $84,765 compared to $71,094 in Blue mounds.
- A higher percentage of married families is found in Grove city at 45.0% compared to 34.0% in Blue mounds.
- The poverty level is higher in Blue mounds at 8%, compared to 7% in Grove city.
- The unemployment rate in Grove city is higher at 4.3%, compared to 2.4% in Blue mounds.
Demographics
Demographics Grove city vs Blue mounds provide insight into the diversity of the communities to compare.
Demographic | Grove city | Blue mounds |
---|---|---|
Black | 4 | 1 |
White | 86 | 96 |
Asian | 3 | Data is updating |
Hispanic | 3 | 1 |
Two or More Races | 4 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Grove city vs Blue mounds
- A higher percentage of Black residents are in Grove city at 4% compared to 1% in Blue mounds.
- The percentage of White residents is higher in Blue mounds at 96% compared to 86% in Grove city.
- The Asian population is larger in Grove city at 3% compared to 0% in Blue mounds.
- The Hispanic community is larger in Grove city at 3% compared to 1% in Blue mounds.
- More residents identify as two or more races in Grove city at 4% compared to 2% in Blue mounds.
- The percentage of American Indian residents is the same in both Grove city and Blue mounds at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Grove city | Blue mounds |
---|---|---|
Mental Health Not Good | 17.0% | 13.4% |
Physical Health Not Good | 10.1% | 7.8% |
Depression | 25.1% | 24.2% |
Smoking | 16.5% | 11.9% |
Binge Drinking | 20.7% | 25.4% |
Obesity | 33.1% | 27.3% |
Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: Grove city vs Blue mounds
- More residents in Grove city report poor mental health at 17.0% compared to 13.4% in Blue mounds.
- Depression is more prevalent in Grove city at 25.1% compared to 24.2% in Blue mounds.
- Smoking is more prevalent in Grove city at 16.5% compared to 11.9% in Blue mounds.
- More residents engage in binge drinking in Blue mounds at 25.4% compared to 20.7% in Grove city.
- Obesity rates are higher in Grove city at 33.1% compared to 27.3% in Blue mounds.
- Disability percentages are the same in both Grove city and Blue mounds at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Grove city | Blue mounds |
---|---|---|
No Schooling | 0.7% (302) | 0.0% (Data is updating) |
High School Diploma | 18.7% (7,916) | 15.3% (141) |
Less than High School | 8.5% (3,598) | 9.0% (83) |
Bachelor's Degree and Higher | 22.9% (9,679) | 19.7% (182) |
Education Levels Comparison: Grove city vs Blue mounds
- A higher percentage of residents in Grove city have no formal schooling at 0.7% compared to 0.0% in Blue mounds.
- A higher percentage of residents in Grove city hold a high school diploma at 18.7% compared to 15.3% in Blue mounds.
- The percentage of residents with less than a high school education is higher in Blue mounds at 9.0%, compared to 8.5% in Grove city.
- A higher percentage of residents in Grove city hold a bachelor's degree or higher at 22.9% compared to 19.7% in Blue mounds.
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.