Demographics details for Laura, OH vs Powder springs, GA
Population Overview
Compare main population characteristics in Laura, OH vs Powder springs, GA.
| Data | Laura | Powder springs |
|---|---|---|
| Population | 407 | 17,337 |
| Median Age | 30.2 years | 38.7 years |
| Median Income | $91,042 | $88,311 |
| Married Families | 58.0% | 36.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Laura vs Powder springs
- The population in Powder springs is higher at 17,337, compared to 407 in Laura.
- The median age in Powder springs is higher at 38.7 years, compared to 30.2 years in Laura.
- Laura has a higher median income of $91,042 compared to $88,311 in Powder springs.
- A higher percentage of married families is found in Laura at 58.0% compared to 36.0% in Powder springs.
- The poverty level is higher in Powder springs at 12%, compared to 5% in Laura.
- The unemployment rate is the same in both Laura and Powder springs at 3.5%.
Demographics
Demographics Laura vs Powder springs provide insight into the diversity of the communities to compare.
| Demographic | Laura | Powder springs |
|---|---|---|
| Black | Data is updating | 51 |
| White | 95 | 22 |
| Asian | Data is updating | 2 |
| Hispanic | 1 | 19 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Laura vs Powder springs
- In Powder springs, the percentage of Black residents is higher at 51% compared to 0% in Laura.
- Laura has a higher percentage of White residents at 95% compared to 22% in Powder springs.
- In Powder springs, the Asian population stands at 2%, greater than 0% in Laura.
- Powder springs has a higher percentage of Hispanic residents at 19%, compared to 1% in Laura.
- The percentage of residents identifying as two or more races is higher in Powder springs at 5%, compared to 4% in Laura.
- In Powder springs, the percentage of American Indian residents is higher at 1%, compared to 0% in Laura.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Laura | Powder springs |
|---|---|---|
| Mental Health Not Good | 16.3% | 15.0% |
| Physical Health Not Good | 10.7% | 10.7% |
| Depression | 21.9% | 17.7% |
| Smoking | 18.6% | 14.4% |
| Binge Drinking | 19.3% | 14.4% |
| Obesity | 38.5% | 33.0% |
| Disability Percentage | 16.0% | 11.0% |
Health Statistics Comparison: Laura vs Powder springs
- More residents in Laura report poor mental health at 16.3% compared to 15.0% in Powder springs.
- Depression is more prevalent in Laura at 21.9% compared to 17.7% in Powder springs.
- Smoking is more prevalent in Laura at 18.6% compared to 14.4% in Powder springs.
- Binge drinking is more common in Laura at 19.3% compared to 14.4% in Powder springs.
- Obesity rates are higher in Laura at 38.5% compared to 33.0% in Powder springs.
- Disability percentages are higher in Laura at 16.0% 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 | Laura | Powder springs |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.3% (225) |
| High School Diploma | 37.8% (154) | 15.0% (2,598) |
| Less than High School | 14.3% (58) | 7.6% (1,309) |
| Bachelor's Degree and Higher | 6.1% (25) | 26.3% (4,561) |
Education Levels Comparison: Laura vs Powder springs
- In Powder springs, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Laura.
- A higher percentage of residents in Laura hold a high school diploma at 37.8% compared to 15.0% in Powder springs.
- More residents in Laura have less than a high school education at 14.3% 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 6.1% in Laura.
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.