Demographics details for Albany, LA vs Shasta lake, CA
Population Overview
Compare main population characteristics in Albany, LA vs Shasta lake, CA.
| Data | Albany | Shasta lake |
|---|---|---|
| Population | 1,242 | 10,335 |
| Median Age | 29.3 years | 38.8 years |
| Median Income | $74,375 | $54,490 |
| Married Families | 39.0% | 35.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Albany vs Shasta lake
- The population in Shasta lake is higher at 10,335, compared to 1,242 in Albany.
- The median age in Shasta lake is higher at 38.8 years, compared to 29.3 years in Albany.
- Albany has a higher median income of $74,375 compared to $54,490 in Shasta lake.
- A higher percentage of married families is found in Albany at 39.0% compared to 35.0% in Shasta lake.
- The poverty level is identical in both Albany and Shasta lake at 12%.
- Shasta lake has a higher unemployment rate at 5.1% compared to 3.5% in Albany.
Demographics
Demographics Albany vs Shasta lake provide insight into the diversity of the communities to compare.
| Demographic | Albany | Shasta lake |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | 74 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 12 |
| Two or More Races | Data is updating | 11 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Albany vs Shasta lake
- The percentage of Black residents is the same in both Albany and Shasta lake at 0%.
- Albany has a higher percentage of White residents at 100% compared to 74% in Shasta lake.
- In Shasta lake, the Asian population stands at 1%, greater than 0% in Albany.
- Shasta lake has a higher percentage of Hispanic residents at 12%, compared to 0% in Albany.
- The percentage of residents identifying as two or more races is higher in Shasta lake at 11%, compared to 0% in Albany.
- In Shasta lake, the percentage of American Indian residents is higher at 2%, compared to 0% in Albany.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Albany | Shasta lake |
|---|---|---|
| Mental Health Not Good | 20.6% | 19.3% |
| Physical Health Not Good | 13.9% | 13.2% |
| Depression | 29.8% | 22.9% |
| Smoking | 23.0% | 17.4% |
| Binge Drinking | 17.8% | 17.5% |
| Obesity | 37.9% | 32.5% |
| Disability Percentage | 16.0% | 25.0% |
Health Statistics Comparison: Albany vs Shasta lake
- More residents in Albany report poor mental health at 20.6% compared to 19.3% in Shasta lake.
- Depression is more prevalent in Albany at 29.8% compared to 22.9% in Shasta lake.
- Smoking is more prevalent in Albany at 23.0% compared to 17.4% in Shasta lake.
- Binge drinking is more common in Albany at 17.8% compared to 17.5% in Shasta lake.
- Obesity rates are higher in Albany at 37.9% compared to 32.5% in Shasta lake.
- There is a higher percentage of disabled individuals in Shasta lake at 25.0% compared to 16.0% in Albany.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Albany | Shasta lake |
|---|---|---|
| No Schooling | 0.5% (6) | 0.6% (67) |
| High School Diploma | 10.5% (131) | 17.0% (1,759) |
| Less than High School | 12.1% (150) | 11.4% (1,176) |
| Bachelor's Degree and Higher | 15.9% (198) | 9.2% (946) |
Education Levels Comparison: Albany vs Shasta lake
- In Shasta lake, a larger percentage of residents lack formal schooling at 0.6% compared to 0.5% in Albany.
- In Shasta lake, the rate of residents with high school diplomas is higher at 17.0% compared to 10.5% in Albany.
- More residents in Albany have less than a high school education at 12.1% compared to 11.4% in Shasta lake.
- A higher percentage of residents in Albany hold a bachelor's degree or higher at 15.9% compared to 9.2% in Shasta lake.
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.