Demographics details for Augusta, GA vs Hope mills, NC
Population Overview
Compare main population characteristics in Augusta, GA vs Hope mills, NC.
| Data | Augusta | Hope mills |
|---|---|---|
| Population | 202,096 | 17,824 |
| Median Age | 34.6 years | 32.5 years |
| Median Income | $50,492 | $57,864 |
| Married Families | 25.0% | 34.0% |
| Poverty Level | 18% | 10% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Augusta vs Hope mills
- In Augusta, the population is higher at 202,096, compared to 17,824 in Hope mills.
- Residents in Augusta have a higher median age of 34.6 years compared to 32.5 years in Hope mills.
- Hope mills has a higher median income of $57,864, compared to $50,492 in Augusta.
- In Hope mills, the percentage of married families is higher at 34.0%, compared to 25.0% in Augusta.
- Augusta has a higher poverty level at 18% compared to 10% in Hope mills.
- The unemployment rate is the same in both Augusta and Hope mills at 4.2%.
Demographics
Demographics Augusta vs Hope mills provide insight into the diversity of the communities to compare.
| Demographic | Augusta | Hope mills |
|---|---|---|
| Black | 56 | 34 |
| White | 31 | 35 |
| Asian | 2 | 1 |
| Hispanic | 5 | 15 |
| Two or More Races | 6 | 13 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Augusta vs Hope mills
- A higher percentage of Black residents are in Augusta at 56% compared to 34% in Hope mills.
- The percentage of White residents is higher in Hope mills at 35% compared to 31% in Augusta.
- The Asian population is larger in Augusta at 2% compared to 1% in Hope mills.
- Hope mills has a higher percentage of Hispanic residents at 15%, compared to 5% in Augusta.
- The percentage of residents identifying as two or more races is higher in Hope mills at 13%, compared to 6% in Augusta.
- In Hope mills, the percentage of American Indian residents is higher at 2%, compared to 0% in Augusta.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Augusta | Hope mills |
|---|---|---|
| Mental Health Not Good | 18.3% | 17.6% |
| Physical Health Not Good | 14.0% | 11.9% |
| Depression | 21.6% | 25.9% |
| Smoking | 20.6% | 17.5% |
| Binge Drinking | 14.7% | 17.6% |
| Obesity | 40.3% | 38.5% |
| Disability Percentage | 17.0% | 16.0% |
Health Statistics Comparison: Augusta vs Hope mills
- More residents in Augusta report poor mental health at 18.3% compared to 17.6% in Hope mills.
- Higher depression rates are seen in Hope mills at 25.9% versus 21.6% in Augusta.
- Smoking is more prevalent in Augusta at 20.6% compared to 17.5% in Hope mills.
- More residents engage in binge drinking in Hope mills at 17.6% compared to 14.7% in Augusta.
- Obesity rates are higher in Augusta at 40.3% compared to 38.5% in Hope mills.
- Disability percentages are higher in Augusta at 17.0% compared to 16.0% in Hope mills.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Augusta | Hope mills |
|---|---|---|
| No Schooling | 0.8% (1,539) | 0.4% (68) |
| High School Diploma | 17.1% (34,505) | 14.7% (2,614) |
| Less than High School | 10.8% (21,758) | 6.9% (1,237) |
| Bachelor's Degree and Higher | 15.6% (31,482) | 13.7% (2,437) |
Education Levels Comparison: Augusta vs Hope mills
- A higher percentage of residents in Augusta have no formal schooling at 0.8% compared to 0.4% in Hope mills.
- A higher percentage of residents in Augusta hold a high school diploma at 17.1% compared to 14.7% in Hope mills.
- More residents in Augusta have less than a high school education at 10.8% compared to 6.9% in Hope mills.
- A higher percentage of residents in Augusta hold a bachelor's degree or higher at 15.6% compared to 13.7% in Hope mills.
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.