Demographics details for Grove, OK vs Scott city, MO
Population Overview
Compare main population characteristics in Grove, OK vs Scott city, MO.
| Data | Grove | Scott city |
|---|---|---|
| Population | 7,215 | 4,350 |
| Median Age | 46.9 years | 40.1 years |
| Median Income | $56,469 | $57,771 |
| Married Families | 44.0% | 43.0% |
| Poverty Level | 11% | 9% |
| Unemployment Rate | 3.5 | 3.2 |
Population Comparison: Grove vs Scott city
- In Grove, the population is higher at 7,215, compared to 4,350 in Scott city.
- Residents in Grove have a higher median age of 46.9 years compared to 40.1 years in Scott city.
- Scott city has a higher median income of $57,771, compared to $56,469 in Grove.
- A higher percentage of married families is found in Grove at 44.0% compared to 43.0% in Scott city.
- Grove has a higher poverty level at 11% compared to 9% in Scott city.
- The unemployment rate in Grove is higher at 3.5%, compared to 3.2% in Scott city.
Demographics
Demographics Grove vs Scott city provide insight into the diversity of the communities to compare.
| Demographic | Grove | Scott city |
|---|---|---|
| Black | 1 | Data is updating |
| White | 70 | 92 |
| Asian | Data is updating | Data is updating |
| Hispanic | 7 | 3 |
| Two or More Races | 11 | 5 |
| American Indian | 11 | Data is updating |
Demographics Comparison: Grove vs Scott city
- A higher percentage of Black residents are in Grove at 1% compared to 0% in Scott city.
- The percentage of White residents is higher in Scott city at 92% compared to 70% in Grove.
- Both Grove and Scott city have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Grove at 7% compared to 3% in Scott city.
- More residents identify as two or more races in Grove at 11% compared to 5% in Scott city.
- A greater percentage of American Indian residents live in Grove at 11% compared to 0% in Scott city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Grove | Scott city |
|---|---|---|
| Mental Health Not Good | 18.9% | 20.9% |
| Physical Health Not Good | 12.5% | 15.5% |
| Depression | 25.4% | 27.3% |
| Smoking | 19.6% | 26.0% |
| Binge Drinking | 15.1% | 17.0% |
| Obesity | 38.3% | 37.0% |
| Disability Percentage | 21.0% | 16.0% |
Health Statistics Comparison: Grove vs Scott city
- In Scott city, a higher percentage report poor mental health at 20.9% compared to 18.9% in Grove.
- Higher depression rates are seen in Scott city at 27.3% versus 25.4% in Grove.
- Scott city has a higher smoking rate at 26.0% compared to 19.6% in Grove.
- More residents engage in binge drinking in Scott city at 17.0% compared to 15.1% in Grove.
- Obesity rates are higher in Grove at 38.3% compared to 37.0% in Scott city.
- Disability percentages are higher in Grove at 21.0% compared to 16.0% in Scott city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Grove | Scott city |
|---|---|---|
| No Schooling | 0.3% (20) | 0.4% (18) |
| High School Diploma | 14.8% (1,068) | 20.4% (886) |
| Less than High School | 11.5% (832) | 23.8% (1,035) |
| Bachelor's Degree and Higher | 20.3% (1,463) | 10.9% (474) |
Education Levels Comparison: Grove vs Scott city
- In Scott city, a larger percentage of residents lack formal schooling at 0.4% compared to 0.3% in Grove.
- In Scott city, the rate of residents with high school diplomas is higher at 20.4% compared to 14.8% in Grove.
- The percentage of residents with less than a high school education is higher in Scott city at 23.8%, compared to 11.5% in Grove.
- A higher percentage of residents in Grove hold a bachelor's degree or higher at 20.3% compared to 10.9% in Scott 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.