Demographics details for Grove, OK vs Sand coulee, MT
Population Overview
Compare main population characteristics in Grove, OK vs Sand coulee, MT.
| Data | Grove | Sand coulee |
|---|---|---|
| Population | 7,215 | 223 |
| Median Age | 46.9 years | 43.9 years |
| Median Income | $56,469 | $74,091 |
| Married Families | 44.0% | 54.0% |
| Poverty Level | 11% | 7% |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Grove vs Sand coulee
- In Grove, the population is higher at 7,215, compared to 223 in Sand coulee.
- Residents in Grove have a higher median age of 46.9 years compared to 43.9 years in Sand coulee.
- Sand coulee has a higher median income of $74,091, compared to $56,469 in Grove.
- In Sand coulee, the percentage of married families is higher at 54.0%, compared to 44.0% in Grove.
- Grove has a higher poverty level at 11% compared to 7% in Sand coulee.
- The unemployment rate in Grove is higher at 3.5%, compared to 2.5% in Sand coulee.
Demographics
Demographics Grove vs Sand coulee provide insight into the diversity of the communities to compare.
| Demographic | Grove | Sand coulee |
|---|---|---|
| Black | 1 | Data is updating |
| White | 70 | 83 |
| Asian | Data is updating | 1 |
| Hispanic | 7 | 8 |
| Two or More Races | 11 | 8 |
| American Indian | 11 | Data is updating |
Demographics Comparison: Grove vs Sand coulee
- A higher percentage of Black residents are in Grove at 1% compared to 0% in Sand coulee.
- The percentage of White residents is higher in Sand coulee at 83% compared to 70% in Grove.
- In Sand coulee, the Asian population stands at 1%, greater than 0% in Grove.
- Sand coulee has a higher percentage of Hispanic residents at 8%, compared to 7% in Grove.
- More residents identify as two or more races in Grove at 11% compared to 8% in Sand coulee.
- A greater percentage of American Indian residents live in Grove at 11% compared to 0% in Sand coulee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Grove | Sand coulee |
|---|---|---|
| Mental Health Not Good | 18.9% | 16.3% |
| Physical Health Not Good | 12.5% | 10.8% |
| Depression | 25.4% | 24.3% |
| Smoking | 19.6% | 17.5% |
| Binge Drinking | 15.1% | 22.4% |
| Obesity | 38.3% | 34.6% |
| Disability Percentage | 21.0% | 9.0% |
Health Statistics Comparison: Grove vs Sand coulee
- More residents in Grove report poor mental health at 18.9% compared to 16.3% in Sand coulee.
- Depression is more prevalent in Grove at 25.4% compared to 24.3% in Sand coulee.
- Smoking is more prevalent in Grove at 19.6% compared to 17.5% in Sand coulee.
- More residents engage in binge drinking in Sand coulee at 22.4% compared to 15.1% in Grove.
- Obesity rates are higher in Grove at 38.3% compared to 34.6% in Sand coulee.
- Disability percentages are higher in Grove at 21.0% compared to 9.0% in Sand coulee.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Grove | Sand coulee |
|---|---|---|
| No Schooling | 0.3% (20) | 0.0% (Data is updating) |
| High School Diploma | 14.8% (1,068) | 22.0% (49) |
| Less than High School | 11.5% (832) | 16.1% (36) |
| Bachelor's Degree and Higher | 20.3% (1,463) | 22.9% (51) |
Education Levels Comparison: Grove vs Sand coulee
- A higher percentage of residents in Grove have no formal schooling at 0.3% compared to 0.0% in Sand coulee.
- In Sand coulee, the rate of residents with high school diplomas is higher at 22.0% compared to 14.8% in Grove.
- The percentage of residents with less than a high school education is higher in Sand coulee at 16.1%, compared to 11.5% in Grove.
- In Sand coulee, a larger share of residents have a bachelor's degree or higher at 22.9% compared to 20.3% in Grove.
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.