Demographics details for Groom, TX vs Royal, AR
Population Overview
Compare main population characteristics in Groom, TX vs Royal, AR.
| Data | Groom | Royal |
|---|---|---|
| Population | 548 | 586 |
| Median Age | 46.0 years | 44.0 years |
| Median Income | $51,944 | $60,000 |
| Married Families | 39.0% | 60.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Groom vs Royal
- The population in Royal is higher at 586, compared to 548 in Groom.
- Residents in Groom have a higher median age of 46.0 years compared to 44.0 years in Royal.
- Royal has a higher median income of $60,000, compared to $51,944 in Groom.
- In Royal, the percentage of married families is higher at 60.0%, compared to 39.0% in Groom.
- Groom has a higher poverty level at 12% compared to 10% in Royal.
- Royal has a higher unemployment rate at 5.0% compared to 3.5% in Groom.
Demographics
Demographics Groom vs Royal provide insight into the diversity of the communities to compare.
| Demographic | Groom | Royal |
|---|---|---|
| Black | Data is updating | 3 |
| White | 96 | 95 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 2 |
| Two or More Races | 1 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Groom vs Royal
- In Royal, the percentage of Black residents is higher at 3% compared to 0% in Groom.
- Groom has a higher percentage of White residents at 96% compared to 95% in Royal.
- Both Groom and Royal have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Groom at 3% compared to 2% in Royal.
- More residents identify as two or more races in Groom at 1% compared to 0% in Royal.
- The percentage of American Indian residents is the same in both Groom and Royal at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Groom | Royal |
|---|---|---|
| Mental Health Not Good | 17.3% | Data is updating% |
| Physical Health Not Good | 10.6% | Data is updating% |
| Depression | 25.1% | Data is updating% |
| Smoking | 16.4% | Data is updating% |
| Binge Drinking | 20.3% | Data is updating% |
| Obesity | 34.7% | Data is updating% |
| Disability Percentage | 11.0% | Data is updating% |
Health Statistics Comparison: Groom vs Royal
- More residents in Groom report poor mental health at 17.3% compared to 0.0% in Royal.
- Depression is more prevalent in Groom at 25.1% compared to 0.0% in Royal.
- Smoking is more prevalent in Groom at 16.4% compared to 0.0% in Royal.
- Binge drinking is more common in Groom at 20.3% compared to 0.0% in Royal.
- Obesity rates are higher in Groom at 34.7% compared to 0.0% in Royal.
- Disability percentages are higher in Groom at 11.0% compared to 0.0% in Royal.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Groom | Royal |
|---|---|---|
| No Schooling | 0.7% (4) | 0.0% (Data is updating) |
| High School Diploma | 22.3% (122) | 0.0% (Data is updating) |
| Less than High School | 10.9% (60) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 10.9% (60) | 0.0% (Data is updating) |
Education Levels Comparison: Groom vs Royal
- A higher percentage of residents in Groom have no formal schooling at 0.7% compared to 0.0% in Royal.
- A higher percentage of residents in Groom hold a high school diploma at 22.3% compared to 0.0% in Royal.
- More residents in Groom have less than a high school education at 10.9% compared to 0.0% in Royal.
- A higher percentage of residents in Groom hold a bachelor's degree or higher at 10.9% compared to 0.0% in Royal.
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.