Demographics details for Albany, GA vs Big bear lake, CA
Population Overview
Compare main population characteristics in Albany, GA vs Big bear lake, CA.
| Data | Albany | Big bear lake |
|---|---|---|
| Population | 67,192 | 5,031 |
| Median Age | 34.7 years | 47.5 years |
| Median Income | $43,724 | $70,020 |
| Married Families | 22.0% | 42.0% |
| Poverty Level | 23% | 10% |
| Unemployment Rate | 5.7 | 5.0 |
Population Comparison: Albany vs Big bear lake
- In Albany, the population is higher at 67,192, compared to 5,031 in Big bear lake.
- The median age in Big bear lake is higher at 47.5 years, compared to 34.7 years in Albany.
- Big bear lake has a higher median income of $70,020, compared to $43,724 in Albany.
- In Big bear lake, the percentage of married families is higher at 42.0%, compared to 22.0% in Albany.
- Albany has a higher poverty level at 23% compared to 10% in Big bear lake.
- The unemployment rate in Albany is higher at 5.7%, compared to 5.0% in Big bear lake.
Demographics
Demographics Albany vs Big bear lake provide insight into the diversity of the communities to compare.
| Demographic | Albany | Big bear lake |
|---|---|---|
| Black | 78 | Data is updating |
| White | 15 | 50 |
| Asian | 1 | 3 |
| Hispanic | 3 | 30 |
| Two or More Races | 3 | 16 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Albany vs Big bear lake
- A higher percentage of Black residents are in Albany at 78% compared to 0% in Big bear lake.
- The percentage of White residents is higher in Big bear lake at 50% compared to 15% in Albany.
- In Big bear lake, the Asian population stands at 3%, greater than 1% in Albany.
- Big bear lake has a higher percentage of Hispanic residents at 30%, compared to 3% in Albany.
- The percentage of residents identifying as two or more races is higher in Big bear lake at 16%, compared to 3% in Albany.
- In Big bear lake, the percentage of American Indian residents is higher at 1%, compared to 0% in Albany.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Albany | Big bear lake |
|---|---|---|
| Mental Health Not Good | 19.4% | 17.4% |
| Physical Health Not Good | 15.2% | 12.1% |
| Depression | 19.9% | 20.5% |
| Smoking | 22.5% | 14.1% |
| Binge Drinking | 13.4% | 17.0% |
| Obesity | 41.9% | 37.0% |
| Disability Percentage | 18.0% | 9.0% |
Health Statistics Comparison: Albany vs Big bear lake
- More residents in Albany report poor mental health at 19.4% compared to 17.4% in Big bear lake.
- Higher depression rates are seen in Big bear lake at 20.5% versus 19.9% in Albany.
- Smoking is more prevalent in Albany at 22.5% compared to 14.1% in Big bear lake.
- More residents engage in binge drinking in Big bear lake at 17.0% compared to 13.4% in Albany.
- Obesity rates are higher in Albany at 41.9% compared to 37.0% in Big bear lake.
- Disability percentages are higher in Albany at 18.0% compared to 9.0% in Big bear lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Albany | Big bear lake |
|---|---|---|
| No Schooling | 0.8% (548) | 0.7% (37) |
| High School Diploma | 16.1% (10,851) | 16.4% (825) |
| Less than High School | 12.9% (8,664) | 12.6% (634) |
| Bachelor's Degree and Higher | 14.5% (9,737) | 25.7% (1,294) |
Education Levels Comparison: Albany vs Big bear lake
- A higher percentage of residents in Albany have no formal schooling at 0.8% compared to 0.7% in Big bear lake.
- In Big bear lake, the rate of residents with high school diplomas is higher at 16.4% compared to 16.1% in Albany.
- More residents in Albany have less than a high school education at 12.9% compared to 12.6% in Big bear lake.
- In Big bear lake, a larger share of residents have a bachelor's degree or higher at 25.7% compared to 14.5% 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.