Demographics details for Grove, OK vs Greenwich, CT
Population Overview
Compare main population characteristics in Grove, OK vs Greenwich, CT.
| Data | Grove | Greenwich |
|---|---|---|
| Population | 7,215 | 62,396 |
| Median Age | 46.9 years | 42.3 years |
| Median Income | $56,469 | $250,000 |
| Married Families | 44.0% | 62.2% |
| Poverty Level | 11% | 4% |
| Unemployment Rate | 3.5 | 2.3 |
Population Comparison: Grove vs Greenwich
- The population in Greenwich is higher at 62,396, compared to 7,215 in Grove.
- Residents in Grove have a higher median age of 46.9 years compared to 42.3 years in Greenwich.
- Greenwich has a higher median income of $250,000, compared to $56,469 in Grove.
- In Greenwich, the percentage of married families is higher at 62.2%, compared to 44.0% in Grove.
- Grove has a higher poverty level at 11% compared to 4% in Greenwich.
- The unemployment rate in Grove is higher at 3.5%, compared to 2.3% in Greenwich.
Demographics
Demographics Grove vs Greenwich provide insight into the diversity of the communities to compare.
| Demographic | Grove | Greenwich |
|---|---|---|
| Black | 1 | 2 |
| White | 70 | 80 |
| Asian | Data is updating | 10 |
| Hispanic | 7 | 6 |
| Two or More Races | 11 | 2 |
| American Indian | 11 | Data is updating |
Demographics Comparison: Grove vs Greenwich
- In Greenwich, the percentage of Black residents is higher at 2% compared to 1% in Grove.
- The percentage of White residents is higher in Greenwich at 80% compared to 70% in Grove.
- In Greenwich, the Asian population stands at 10%, greater than 0% in Grove.
- The Hispanic community is larger in Grove at 7% compared to 6% in Greenwich.
- More residents identify as two or more races in Grove at 11% compared to 2% in Greenwich.
- A greater percentage of American Indian residents live in Grove at 11% compared to 0% in Greenwich.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Grove | Greenwich |
|---|---|---|
| Mental Health Not Good | 18.9% | Data is updating% |
| Physical Health Not Good | 12.5% | Data is updating% |
| Depression | 25.4% | Data is updating% |
| Smoking | 19.6% | Data is updating% |
| Binge Drinking | 15.1% | Data is updating% |
| Obesity | 38.3% | Data is updating% |
| Disability Percentage | 21.0% | Data is updating% |
Health Statistics Comparison: Grove vs Greenwich
- More residents in Grove report poor mental health at 18.9% compared to 0.0% in Greenwich.
- Depression is more prevalent in Grove at 25.4% compared to 0.0% in Greenwich.
- Smoking is more prevalent in Grove at 19.6% compared to 0.0% in Greenwich.
- Binge drinking is more common in Grove at 15.1% compared to 0.0% in Greenwich.
- Obesity rates are higher in Grove at 38.3% compared to 0.0% in Greenwich.
- Disability percentages are higher in Grove at 21.0% compared to 0.0% in Greenwich.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Grove | Greenwich |
|---|---|---|
| No Schooling | 0.3% (20) | 0.0% (Data is updating) |
| High School Diploma | 14.8% (1,068) | 0.0% (Data is updating) |
| Less than High School | 11.5% (832) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 20.3% (1,463) | 0.0% (Data is updating) |
Education Levels Comparison: Grove vs Greenwich
- A higher percentage of residents in Grove have no formal schooling at 0.3% compared to 0.0% in Greenwich.
- A higher percentage of residents in Grove hold a high school diploma at 14.8% compared to 0.0% in Greenwich.
- More residents in Grove have less than a high school education at 11.5% compared to 0.0% in Greenwich.
- A higher percentage of residents in Grove hold a bachelor's degree or higher at 20.3% compared to 0.0% in Greenwich.
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.