Demographics details for Grove city, OH vs Milton, WA
Population Overview
Compare main population characteristics in Grove city, OH vs Milton, WA.
| Data | Grove city | Milton |
|---|---|---|
| Population | 42,233 | 8,768 |
| Median Age | 40.6 years | 37.6 years |
| Median Income | $84,765 | $90,372 |
| Married Families | 45.0% | 34.0% |
| Poverty Level | 7% | 9% |
| Unemployment Rate | 4.3 | 5.0 |
Population Comparison: Grove city vs Milton
- In Grove city, the population is higher at 42,233, compared to 8,768 in Milton.
- Residents in Grove city have a higher median age of 40.6 years compared to 37.6 years in Milton.
- Milton has a higher median income of $90,372, compared to $84,765 in Grove city.
- A higher percentage of married families is found in Grove city at 45.0% compared to 34.0% in Milton.
- The poverty level is higher in Milton at 9%, compared to 7% in Grove city.
- Milton has a higher unemployment rate at 5.0% compared to 4.3% in Grove city.
Demographics
Demographics Grove city vs Milton provide insight into the diversity of the communities to compare.
| Demographic | Grove city | Milton |
|---|---|---|
| Black | 4 | 1 |
| White | 86 | 71 |
| Asian | 3 | 7 |
| Hispanic | 3 | 10 |
| Two or More Races | 4 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Grove city vs Milton
- A higher percentage of Black residents are in Grove city at 4% compared to 1% in Milton.
- Grove city has a higher percentage of White residents at 86% compared to 71% in Milton.
- In Milton, the Asian population stands at 7%, greater than 3% in Grove city.
- Milton has a higher percentage of Hispanic residents at 10%, compared to 3% in Grove city.
- The percentage of residents identifying as two or more races is higher in Milton at 10%, compared to 4% in Grove city.
- In Milton, the percentage of American Indian residents is higher at 1%, compared to 0% in Grove city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Grove city | Milton |
|---|---|---|
| Mental Health Not Good | 17.0% | 18.4% |
| Physical Health Not Good | 10.1% | 10.8% |
| Depression | 25.1% | 27.0% |
| Smoking | 16.5% | 14.2% |
| Binge Drinking | 20.7% | 17.9% |
| Obesity | 33.1% | 31.9% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Grove city vs Milton
- In Milton, a higher percentage report poor mental health at 18.4% compared to 17.0% in Grove city.
- Higher depression rates are seen in Milton at 27.0% versus 25.1% in Grove city.
- Smoking is more prevalent in Grove city at 16.5% compared to 14.2% in Milton.
- Binge drinking is more common in Grove city at 20.7% compared to 17.9% in Milton.
- Obesity rates are higher in Grove city at 33.1% compared to 31.9% in Milton.
- There is a higher percentage of disabled individuals in Milton at 14.0% compared to 11.0% in Grove city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Grove city | Milton |
|---|---|---|
| No Schooling | 0.7% (302) | 1.0% (86) |
| High School Diploma | 18.7% (7,916) | 19.2% (1,683) |
| Less than High School | 8.5% (3,598) | 9.4% (821) |
| Bachelor's Degree and Higher | 22.9% (9,679) | 13.1% (1,149) |
Education Levels Comparison: Grove city vs Milton
- In Milton, a larger percentage of residents lack formal schooling at 1.0% compared to 0.7% in Grove city.
- In Milton, the rate of residents with high school diplomas is higher at 19.2% compared to 18.7% in Grove city.
- The percentage of residents with less than a high school education is higher in Milton at 9.4%, 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 13.1% in Milton.
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.