Demographics details for Greenville, MS vs Groom, TX
Population Overview
Compare main population characteristics in Greenville, MS vs Groom, TX.
| Data | Greenville | Groom |
|---|---|---|
| Population | 28,017 | 548 |
| Median Age | 38.7 years | 46.0 years |
| Median Income | $35,148 | $51,944 |
| Married Families | 25.0% | 39.0% |
| Poverty Level | 30% | 12% |
| Unemployment Rate | 5.8 | 3.5 |
Population Comparison: Greenville vs Groom
- In Greenville, the population is higher at 28,017, compared to 548 in Groom.
- The median age in Groom is higher at 46.0 years, compared to 38.7 years in Greenville.
- Groom has a higher median income of $51,944, compared to $35,148 in Greenville.
- In Groom, the percentage of married families is higher at 39.0%, compared to 25.0% in Greenville.
- Greenville has a higher poverty level at 30% compared to 12% in Groom.
- The unemployment rate in Greenville is higher at 5.8%, compared to 3.5% in Groom.
Demographics
Demographics Greenville vs Groom provide insight into the diversity of the communities to compare.
| Demographic | Greenville | Groom |
|---|---|---|
| Black | 87 | Data is updating |
| White | 11 | 96 |
| Asian | 1 | Data is updating |
| Hispanic | Data is updating | 3 |
| Two or More Races | 1 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Greenville vs Groom
- A higher percentage of Black residents are in Greenville at 87% compared to 0% in Groom.
- The percentage of White residents is higher in Groom at 96% compared to 11% in Greenville.
- The Asian population is larger in Greenville at 1% compared to 0% in Groom.
- Groom has a higher percentage of Hispanic residents at 3%, compared to 0% in Greenville.
- Both Greenville and Groom have the same percentage of residents identifying as two or more races at 1%.
- The percentage of American Indian residents is the same in both Greenville and Groom at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Greenville | Groom |
|---|---|---|
| Mental Health Not Good | 19.4% | 17.3% |
| Physical Health Not Good | 16.3% | 10.6% |
| Depression | 21.2% | 25.1% |
| Smoking | 26.7% | 16.4% |
| Binge Drinking | 10.6% | 20.3% |
| Obesity | 46.0% | 34.7% |
| Disability Percentage | 28.0% | 11.0% |
Health Statistics Comparison: Greenville vs Groom
- More residents in Greenville report poor mental health at 19.4% compared to 17.3% in Groom.
- Higher depression rates are seen in Groom at 25.1% versus 21.2% in Greenville.
- Smoking is more prevalent in Greenville at 26.7% compared to 16.4% in Groom.
- More residents engage in binge drinking in Groom at 20.3% compared to 10.6% in Greenville.
- Obesity rates are higher in Greenville at 46.0% compared to 34.7% in Groom.
- Disability percentages are higher in Greenville at 28.0% 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 | Greenville | Groom |
|---|---|---|
| No Schooling | 1.8% (501) | 0.7% (4) |
| High School Diploma | 20.2% (5,661) | 22.3% (122) |
| Less than High School | 15.5% (4,352) | 10.9% (60) |
| Bachelor's Degree and Higher | 14.5% (4,052) | 10.9% (60) |
Education Levels Comparison: Greenville vs Groom
- A higher percentage of residents in Greenville have no formal schooling at 1.8% compared to 0.7% in Groom.
- In Groom, the rate of residents with high school diplomas is higher at 22.3% compared to 20.2% in Greenville.
- More residents in Greenville have less than a high school education at 15.5% compared to 10.9% in Groom.
- A higher percentage of residents in Greenville hold a bachelor's degree or higher at 14.5% compared to 10.9% in Groom.
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.