Demographics details for Groom, TX vs Rogue river, OR
Population Overview
Compare main population characteristics in Groom, TX vs Rogue river, OR.
| Data | Groom | Rogue river |
|---|---|---|
| Population | 548 | 2,380 |
| Median Age | 46.0 years | 52.6 years |
| Median Income | $51,944 | $43,929 |
| Married Families | 39.0% | 32.0% |
| Poverty Level | 12% | 11% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Groom vs Rogue river
- The population in Rogue river is higher at 2,380, compared to 548 in Groom.
- The median age in Rogue river is higher at 52.6 years, compared to 46.0 years in Groom.
- Groom has a higher median income of $51,944 compared to $43,929 in Rogue river.
- A higher percentage of married families is found in Groom at 39.0% compared to 32.0% in Rogue river.
- Groom has a higher poverty level at 12% compared to 11% in Rogue river.
- Rogue river has a higher unemployment rate at 4.5% compared to 3.5% in Groom.
Demographics
Demographics Groom vs Rogue river provide insight into the diversity of the communities to compare.
| Demographic | Groom | Rogue river |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 96 | 85 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 5 |
| Two or More Races | 1 | 8 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Groom vs Rogue river
- The percentage of Black residents is the same in both Groom and Rogue river at 0%.
- Groom has a higher percentage of White residents at 96% compared to 85% in Rogue river.
- In Rogue river, the Asian population stands at 1%, greater than 0% in Groom.
- Rogue river has a higher percentage of Hispanic residents at 5%, compared to 3% in Groom.
- The percentage of residents identifying as two or more races is higher in Rogue river at 8%, compared to 1% in Groom.
- In Rogue river, the percentage of American Indian residents is higher at 1%, compared to 0% in Groom.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Groom | Rogue river |
|---|---|---|
| Mental Health Not Good | 17.3% | 18.8% |
| Physical Health Not Good | 10.6% | 11.2% |
| Depression | 25.1% | 29.2% |
| Smoking | 16.4% | 15.3% |
| Binge Drinking | 20.3% | 16.9% |
| Obesity | 34.7% | 29.6% |
| Disability Percentage | 11.0% | 20.0% |
Health Statistics Comparison: Groom vs Rogue river
- In Rogue river, a higher percentage report poor mental health at 18.8% compared to 17.3% in Groom.
- Higher depression rates are seen in Rogue river at 29.2% versus 25.1% in Groom.
- Smoking is more prevalent in Groom at 16.4% compared to 15.3% in Rogue river.
- Binge drinking is more common in Groom at 20.3% compared to 16.9% in Rogue river.
- Obesity rates are higher in Groom at 34.7% compared to 29.6% in Rogue river.
- There is a higher percentage of disabled individuals in Rogue river at 20.0% compared to 11.0% in Groom.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Groom | Rogue river |
|---|---|---|
| No Schooling | 0.7% (4) | 0.7% (17) |
| High School Diploma | 22.3% (122) | 16.5% (392) |
| Less than High School | 10.9% (60) | 12.7% (302) |
| Bachelor's Degree and Higher | 10.9% (60) | 10.1% (240) |
Education Levels Comparison: Groom vs Rogue river
- The percentage of residents with no formal schooling is the same in both Groom and Rogue river at 0.7%.
- A higher percentage of residents in Groom hold a high school diploma at 22.3% compared to 16.5% in Rogue river.
- The percentage of residents with less than a high school education is higher in Rogue river at 12.7%, compared to 10.9% in Groom.
- A higher percentage of residents in Groom hold a bachelor's degree or higher at 10.9% compared to 10.1% in Rogue river.
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.