Demographics details for Groves, TX vs Powder springs, GA
Population Overview
Compare main population characteristics in Groves, TX vs Powder springs, GA.
Data | Groves | Powder springs |
---|---|---|
Population | 16,798 | 17,337 |
Median Age | 38.9 years | 38.7 years |
Median Income | $64,737 | $88,311 |
Married Families | 43.0% | 36.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Groves vs Powder springs
- The population in Powder springs is higher at 17,337, compared to 16,798 in Groves.
- Residents in Groves have a higher median age of 38.9 years compared to 38.7 years in Powder springs.
- Powder springs has a higher median income of $88,311, compared to $64,737 in Groves.
- A higher percentage of married families is found in Groves at 43.0% compared to 36.0% in Powder springs.
- The poverty level is higher in Powder springs at 12%, compared to 10% in Groves.
- The unemployment rate in Groves is higher at 4.2%, compared to 3.5% in Powder springs.
Demographics
Demographics Groves vs Powder springs provide insight into the diversity of the communities to compare.
Demographic | Groves | Powder springs |
---|---|---|
Black | 9 | 51 |
White | 44 | 22 |
Asian | 7 | 2 |
Hispanic | 26 | 19 |
Two or More Races | 14 | 5 |
American Indian | Data is updating | 1 |
Demographics Comparison: Groves vs Powder springs
- In Powder springs, the percentage of Black residents is higher at 51% compared to 9% in Groves.
- Groves has a higher percentage of White residents at 44% compared to 22% in Powder springs.
- The Asian population is larger in Groves at 7% compared to 2% in Powder springs.
- The Hispanic community is larger in Groves at 26% compared to 19% in Powder springs.
- More residents identify as two or more races in Groves at 14% compared to 5% in Powder springs.
- In Powder springs, the percentage of American Indian residents is higher at 1%, compared to 0% in Groves.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Groves | Powder springs |
---|---|---|
Mental Health Not Good | 17.8% | 15.0% |
Physical Health Not Good | 12.2% | 10.7% |
Depression | 22.7% | 17.7% |
Smoking | 18.5% | 14.4% |
Binge Drinking | 18.0% | 14.4% |
Obesity | 34.8% | 33.0% |
Disability Percentage | 15.0% | 11.0% |
Health Statistics Comparison: Groves vs Powder springs
- More residents in Groves report poor mental health at 17.8% compared to 15.0% in Powder springs.
- Depression is more prevalent in Groves at 22.7% compared to 17.7% in Powder springs.
- Smoking is more prevalent in Groves at 18.5% compared to 14.4% in Powder springs.
- Binge drinking is more common in Groves at 18.0% compared to 14.4% in Powder springs.
- Obesity rates are higher in Groves at 34.8% compared to 33.0% in Powder springs.
- Disability percentages are higher in Groves at 15.0% compared to 11.0% in Powder springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Groves | Powder springs |
---|---|---|
No Schooling | 3.8% (638) | 1.3% (225) |
High School Diploma | 18.1% (3,039) | 15.0% (2,598) |
Less than High School | 16.3% (2,731) | 7.6% (1,309) |
Bachelor's Degree and Higher | 9.9% (1,655) | 26.3% (4,561) |
Education Levels Comparison: Groves vs Powder springs
- A higher percentage of residents in Groves have no formal schooling at 3.8% compared to 1.3% in Powder springs.
- A higher percentage of residents in Groves hold a high school diploma at 18.1% compared to 15.0% in Powder springs.
- More residents in Groves have less than a high school education at 16.3% compared to 7.6% in Powder springs.
- In Powder springs, a larger share of residents have a bachelor's degree or higher at 26.3% compared to 9.9% in Groves.
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.