Demographics details for Albany, IN vs North augusta, SC
Population Overview
Compare main population characteristics in Albany, IN vs North augusta, SC.
Data | Albany | North augusta |
---|---|---|
Population | 2,286 | 25,258 |
Median Age | 49.2 years | 43.4 years |
Median Income | $53,246 | $85,093 |
Married Families | 55.0% | 45.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 3.2 | 4.1 |
Population Comparison: Albany vs North augusta
- The population in North augusta is higher at 25,258, compared to 2,286 in Albany.
- Residents in Albany have a higher median age of 49.2 years compared to 43.4 years in North augusta.
- North augusta has a higher median income of $85,093, compared to $53,246 in Albany.
- A higher percentage of married families is found in Albany at 55.0% compared to 45.0% in North augusta.
- Albany has a higher poverty level at 10% compared to 8% in North augusta.
- North augusta has a higher unemployment rate at 4.1% compared to 3.2% in Albany.
Demographics
Demographics Albany vs North augusta provide insight into the diversity of the communities to compare.
Demographic | Albany | North augusta |
---|---|---|
Black | Data is updating | 14 |
White | 93 | 76 |
Asian | 1 | Data is updating |
Hispanic | 3 | 6 |
Two or More Races | 3 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Albany vs North augusta
- In North augusta, the percentage of Black residents is higher at 14% compared to 0% in Albany.
- Albany has a higher percentage of White residents at 93% compared to 76% in North augusta.
- The Asian population is larger in Albany at 1% compared to 0% in North augusta.
- North augusta has a higher percentage of Hispanic residents at 6%, compared to 3% in Albany.
- The percentage of residents identifying as two or more races is higher in North augusta at 4%, compared to 3% in Albany.
- The percentage of American Indian residents is the same in both Albany and North augusta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Albany | North augusta |
---|---|---|
Mental Health Not Good | 17.1% | 17.1% |
Physical Health Not Good | 11.5% | 11.4% |
Depression | 26.9% | 21.5% |
Smoking | 20.1% | 16.1% |
Binge Drinking | 17.4% | 16.8% |
Obesity | 36.7% | 35.8% |
Disability Percentage | 30.0% | 14.0% |
Health Statistics Comparison: Albany vs North augusta
- Poor mental health levels are equal in both Albany and North augusta at 17.1%.
- Depression is more prevalent in Albany at 26.9% compared to 21.5% in North augusta.
- Smoking is more prevalent in Albany at 20.1% compared to 16.1% in North augusta.
- Binge drinking is more common in Albany at 17.4% compared to 16.8% in North augusta.
- Obesity rates are higher in Albany at 36.7% compared to 35.8% in North augusta.
- Disability percentages are higher in Albany at 30.0% compared to 14.0% in North augusta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Albany | North augusta |
---|---|---|
No Schooling | 0.5% (12) | 0.5% (132) |
High School Diploma | 39.1% (893) | 13.9% (3,507) |
Less than High School | 19.9% (456) | 9.5% (2,395) |
Bachelor's Degree and Higher | 13.5% (308) | 27.8% (7,010) |
Education Levels Comparison: Albany vs North augusta
- The percentage of residents with no formal schooling is the same in both Albany and North augusta at 0.5%.
- A higher percentage of residents in Albany hold a high school diploma at 39.1% compared to 13.9% in North augusta.
- More residents in Albany have less than a high school education at 19.9% compared to 9.5% in North augusta.
- In North augusta, a larger share of residents have a bachelor's degree or higher at 27.8% compared to 13.5% in Albany.
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.