Demographics details for Albany, IN vs Cornelia, GA
Population Overview
Compare main population characteristics in Albany, IN vs Cornelia, GA.
Data | Albany | Cornelia |
---|---|---|
Population | 2,286 | 5,004 |
Median Age | 49.2 years | 30.4 years |
Median Income | $53,246 | $46,211 |
Married Families | 55.0% | 32.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Albany vs Cornelia
- The population in Cornelia is higher at 5,004, compared to 2,286 in Albany.
- Residents in Albany have a higher median age of 49.2 years compared to 30.4 years in Cornelia.
- Albany has a higher median income of $53,246 compared to $46,211 in Cornelia.
- A higher percentage of married families is found in Albany at 55.0% compared to 32.0% in Cornelia.
- The poverty level is higher in Cornelia at 12%, compared to 10% in Albany.
- Cornelia has a higher unemployment rate at 3.5% compared to 3.2% in Albany.
Demographics
Demographics Albany vs Cornelia provide insight into the diversity of the communities to compare.
Demographic | Albany | Cornelia |
---|---|---|
Black | Data is updating | 9 |
White | 93 | 43 |
Asian | 1 | 3 |
Hispanic | 3 | 32 |
Two or More Races | 3 | 13 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Albany vs Cornelia
- In Cornelia, the percentage of Black residents is higher at 9% compared to 0% in Albany.
- Albany has a higher percentage of White residents at 93% compared to 43% in Cornelia.
- In Cornelia, the Asian population stands at 3%, greater than 1% in Albany.
- Cornelia has a higher percentage of Hispanic residents at 32%, compared to 3% in Albany.
- The percentage of residents identifying as two or more races is higher in Cornelia at 13%, compared to 3% in Albany.
- The percentage of American Indian residents is the same in both Albany and Cornelia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Albany | Cornelia |
---|---|---|
Mental Health Not Good | 17.1% | 18.2% |
Physical Health Not Good | 11.5% | 14.7% |
Depression | 26.9% | 22.4% |
Smoking | 20.1% | 20.2% |
Binge Drinking | 17.4% | 14.4% |
Obesity | 36.7% | 34.6% |
Disability Percentage | 30.0% | 13.0% |
Health Statistics Comparison: Albany vs Cornelia
- In Cornelia, a higher percentage report poor mental health at 18.2% compared to 17.1% in Albany.
- Depression is more prevalent in Albany at 26.9% compared to 22.4% in Cornelia.
- Cornelia has a higher smoking rate at 20.2% compared to 20.1% in Albany.
- Binge drinking is more common in Albany at 17.4% compared to 14.4% in Cornelia.
- Obesity rates are higher in Albany at 36.7% compared to 34.6% in Cornelia.
- Disability percentages are higher in Albany at 30.0% compared to 13.0% in Cornelia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Albany | Cornelia |
---|---|---|
No Schooling | 0.5% (12) | 3.6% (179) |
High School Diploma | 39.1% (893) | 9.5% (473) |
Less than High School | 19.9% (456) | 35.8% (1,790) |
Bachelor's Degree and Higher | 13.5% (308) | 12.5% (625) |
Education Levels Comparison: Albany vs Cornelia
- In Cornelia, a larger percentage of residents lack formal schooling at 3.6% compared to 0.5% in Albany.
- A higher percentage of residents in Albany hold a high school diploma at 39.1% compared to 9.5% in Cornelia.
- The percentage of residents with less than a high school education is higher in Cornelia at 35.8%, compared to 19.9% in Albany.
- A higher percentage of residents in Albany hold a bachelor's degree or higher at 13.5% compared to 12.5% in Cornelia.
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.