Demographics details for Shasta lake, CA vs Lanett, AL
Population Overview
Compare main population characteristics in Shasta lake, CA vs Lanett, AL.
| Data | Shasta lake | Lanett |
|---|---|---|
| Population | 10,335 | 6,759 |
| Median Age | 38.8 years | 39.9 years |
| Median Income | $54,490 | $48,125 |
| Married Families | 35.0% | 24.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 5.1 | 3.2 |
Population Comparison: Shasta lake vs Lanett
- In Shasta lake, the population is higher at 10,335, compared to 6,759 in Lanett.
- The median age in Lanett is higher at 39.9 years, compared to 38.8 years in Shasta lake.
- Shasta lake has a higher median income of $54,490 compared to $48,125 in Lanett.
- A higher percentage of married families is found in Shasta lake at 35.0% compared to 24.0% in Lanett.
- Shasta lake has a higher poverty level at 12% compared to 0% in Lanett.
- The unemployment rate in Shasta lake is higher at 5.1%, compared to 3.2% in Lanett.
Demographics
Demographics Shasta lake vs Lanett provide insight into the diversity of the communities to compare.
| Demographic | Shasta lake | Lanett |
|---|---|---|
| Black | Data is updating | 73 |
| White | 74 | 16 |
| Asian | 1 | Data is updating |
| Hispanic | 12 | 8 |
| Two or More Races | 11 | 3 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Shasta lake vs Lanett
- In Lanett, the percentage of Black residents is higher at 73% compared to 0% in Shasta lake.
- Shasta lake has a higher percentage of White residents at 74% compared to 16% in Lanett.
- The Asian population is larger in Shasta lake at 1% compared to 0% in Lanett.
- The Hispanic community is larger in Shasta lake at 12% compared to 8% in Lanett.
- More residents identify as two or more races in Shasta lake at 11% compared to 3% in Lanett.
- A greater percentage of American Indian residents live in Shasta lake at 2% compared to 0% in Lanett.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shasta lake | Lanett |
|---|---|---|
| Mental Health Not Good | 19.3% | 20.0% |
| Physical Health Not Good | 13.2% | 14.6% |
| Depression | 22.9% | 22.1% |
| Smoking | 17.4% | 21.6% |
| Binge Drinking | 17.5% | 12.7% |
| Obesity | 32.5% | 46.5% |
| Disability Percentage | 25.0% | 22.0% |
Health Statistics Comparison: Shasta lake vs Lanett
- In Lanett, a higher percentage report poor mental health at 20.0% compared to 19.3% in Shasta lake.
- Depression is more prevalent in Shasta lake at 22.9% compared to 22.1% in Lanett.
- Lanett has a higher smoking rate at 21.6% compared to 17.4% in Shasta lake.
- Binge drinking is more common in Shasta lake at 17.5% compared to 12.7% in Lanett.
- Lanett has higher obesity rates at 46.5% compared to 32.5% in Shasta lake.
- Disability percentages are higher in Shasta lake at 25.0% compared to 22.0% in Lanett.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Shasta lake | Lanett |
|---|---|---|
| No Schooling | 0.6% (67) | 1.3% (90) |
| High School Diploma | 17.0% (1,759) | 18.9% (1,277) |
| Less than High School | 11.4% (1,176) | 20.3% (1,369) |
| Bachelor's Degree and Higher | 9.2% (946) | 7.4% (498) |
Education Levels Comparison: Shasta lake vs Lanett
- In Lanett, a larger percentage of residents lack formal schooling at 1.3% compared to 0.6% in Shasta lake.
- In Lanett, the rate of residents with high school diplomas is higher at 18.9% compared to 17.0% in Shasta lake.
- The percentage of residents with less than a high school education is higher in Lanett at 20.3%, compared to 11.4% in Shasta lake.
- A higher percentage of residents in Shasta lake hold a bachelor's degree or higher at 9.2% compared to 7.4% in Lanett.
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.