Demographics details for Augusta, GA vs Berkeley, CA
Population Overview
Compare main population characteristics in Augusta, GA vs Berkeley, CA.
| Data | Augusta | Berkeley |
|---|---|---|
| Population | 202,096 | 118,950 |
| Median Age | 34.6 years | 32.5 years |
| Median Income | $50,492 | $104,716 |
| Married Families | 25.0% | 31.0% |
| Poverty Level | 18% | 14% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Augusta vs Berkeley
- In Augusta, the population is higher at 202,096, compared to 118,950 in Berkeley.
- Residents in Augusta have a higher median age of 34.6 years compared to 32.5 years in Berkeley.
- Berkeley has a higher median income of $104,716, compared to $50,492 in Augusta.
- In Berkeley, the percentage of married families is higher at 31.0%, compared to 25.0% in Augusta.
- Augusta has a higher poverty level at 18% compared to 14% in Berkeley.
- Berkeley has a higher unemployment rate at 4.5% compared to 4.2% in Augusta.
Demographics
Demographics Augusta vs Berkeley provide insight into the diversity of the communities to compare.
| Demographic | Augusta | Berkeley |
|---|---|---|
| Black | 56 | 8 |
| White | 31 | 48 |
| Asian | 2 | 21 |
| Hispanic | 5 | 12 |
| Two or More Races | 6 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Augusta vs Berkeley
- A higher percentage of Black residents are in Augusta at 56% compared to 8% in Berkeley.
- The percentage of White residents is higher in Berkeley at 48% compared to 31% in Augusta.
- In Berkeley, the Asian population stands at 21%, greater than 2% in Augusta.
- Berkeley has a higher percentage of Hispanic residents at 12%, compared to 5% in Augusta.
- The percentage of residents identifying as two or more races is higher in Berkeley at 10%, compared to 6% in Augusta.
- In Berkeley, the percentage of American Indian residents is higher at 1%, compared to 0% in Augusta.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Augusta | Berkeley |
|---|---|---|
| Mental Health Not Good | 18.3% | 15.0% |
| Physical Health Not Good | 14.0% | 8.6% |
| Depression | 21.6% | 18.8% |
| Smoking | 20.6% | 9.0% |
| Binge Drinking | 14.7% | 16.1% |
| Obesity | 40.3% | 26.8% |
| Disability Percentage | 17.0% | 10.0% |
Health Statistics Comparison: Augusta vs Berkeley
- More residents in Augusta report poor mental health at 18.3% compared to 15.0% in Berkeley.
- Depression is more prevalent in Augusta at 21.6% compared to 18.8% in Berkeley.
- Smoking is more prevalent in Augusta at 20.6% compared to 9.0% in Berkeley.
- More residents engage in binge drinking in Berkeley at 16.1% compared to 14.7% in Augusta.
- Obesity rates are higher in Augusta at 40.3% compared to 26.8% in Berkeley.
- Disability percentages are higher in Augusta at 17.0% compared to 10.0% in Berkeley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Augusta | Berkeley |
|---|---|---|
| No Schooling | 0.8% (1,539) | 0.7% (780) |
| High School Diploma | 17.1% (34,505) | 3.9% (4,580) |
| Less than High School | 10.8% (21,758) | 4.0% (4,800) |
| Bachelor's Degree and Higher | 15.6% (31,482) | 47.8% (56,907) |
Education Levels Comparison: Augusta vs Berkeley
- A higher percentage of residents in Augusta have no formal schooling at 0.8% compared to 0.7% in Berkeley.
- A higher percentage of residents in Augusta hold a high school diploma at 17.1% compared to 3.9% in Berkeley.
- More residents in Augusta have less than a high school education at 10.8% compared to 4.0% in Berkeley.
- In Berkeley, a larger share of residents have a bachelor's degree or higher at 47.8% compared to 15.6% in Augusta.
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.