Demographics details for Cleveland, GA vs Shasta lake, CA
Population Overview
Compare main population characteristics in Cleveland, GA vs Shasta lake, CA.
| Data | Cleveland | Shasta lake |
|---|---|---|
| Population | 3,548 | 10,335 |
| Median Age | 39.6 years | 38.8 years |
| Median Income | $46,994 | $54,490 |
| Married Families | 25.0% | 35.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.5 | 5.1 |
Population Comparison: Cleveland vs Shasta lake
- The population in Shasta lake is higher at 10,335, compared to 3,548 in Cleveland.
- Residents in Cleveland have a higher median age of 39.6 years compared to 38.8 years in Shasta lake.
- Shasta lake has a higher median income of $54,490, compared to $46,994 in Cleveland.
- In Shasta lake, the percentage of married families is higher at 35.0%, compared to 25.0% in Cleveland.
- The poverty level is identical in both Cleveland and Shasta lake at 12%.
- Shasta lake has a higher unemployment rate at 5.1% compared to 3.5% in Cleveland.
Demographics
Demographics Cleveland vs Shasta lake provide insight into the diversity of the communities to compare.
| Demographic | Cleveland | Shasta lake |
|---|---|---|
| Black | 5 | Data is updating |
| White | 84 | 74 |
| Asian | 2 | 1 |
| Hispanic | 2 | 12 |
| Two or More Races | 7 | 11 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Cleveland vs Shasta lake
- A higher percentage of Black residents are in Cleveland at 5% compared to 0% in Shasta lake.
- Cleveland has a higher percentage of White residents at 84% compared to 74% in Shasta lake.
- The Asian population is larger in Cleveland at 2% compared to 1% in Shasta lake.
- Shasta lake has a higher percentage of Hispanic residents at 12%, compared to 2% in Cleveland.
- The percentage of residents identifying as two or more races is higher in Shasta lake at 11%, compared to 7% in Cleveland.
- In Shasta lake, the percentage of American Indian residents is higher at 2%, compared to 0% in Cleveland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cleveland | Shasta lake |
|---|---|---|
| Mental Health Not Good | 18.1% | 19.3% |
| Physical Health Not Good | 12.8% | 13.2% |
| Depression | 24.2% | 22.9% |
| Smoking | 18.9% | 17.4% |
| Binge Drinking | 16.2% | 17.5% |
| Obesity | 33.2% | 32.5% |
| Disability Percentage | 17.0% | 25.0% |
Health Statistics Comparison: Cleveland vs Shasta lake
- In Shasta lake, a higher percentage report poor mental health at 19.3% compared to 18.1% in Cleveland.
- Depression is more prevalent in Cleveland at 24.2% compared to 22.9% in Shasta lake.
- Smoking is more prevalent in Cleveland at 18.9% compared to 17.4% in Shasta lake.
- More residents engage in binge drinking in Shasta lake at 17.5% compared to 16.2% in Cleveland.
- Obesity rates are higher in Cleveland at 33.2% compared to 32.5% in Shasta lake.
- There is a higher percentage of disabled individuals in Shasta lake at 25.0% compared to 17.0% in Cleveland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cleveland | Shasta lake |
|---|---|---|
| No Schooling | 0.8% (30) | 0.6% (67) |
| High School Diploma | 18.5% (656) | 17.0% (1,759) |
| Less than High School | 15.4% (545) | 11.4% (1,176) |
| Bachelor's Degree and Higher | 10.2% (362) | 9.2% (946) |
Education Levels Comparison: Cleveland vs Shasta lake
- A higher percentage of residents in Cleveland have no formal schooling at 0.8% compared to 0.6% in Shasta lake.
- A higher percentage of residents in Cleveland hold a high school diploma at 18.5% compared to 17.0% in Shasta lake.
- More residents in Cleveland have less than a high school education at 15.4% compared to 11.4% in Shasta lake.
- A higher percentage of residents in Cleveland hold a bachelor's degree or higher at 10.2% 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.