Demographics details for Cedar bluff, VA vs Cleveland, GA
Population Overview
Compare main population characteristics in Cedar bluff, VA vs Cleveland, GA.
Data | Cedar bluff | Cleveland |
---|---|---|
Population | 1,045 | 3,548 |
Median Age | 48.9 years | 39.6 years |
Median Income | $41,094 | $46,994 |
Married Families | 54.0% | 25.0% |
Poverty Level | 8% | 12% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Cedar bluff vs Cleveland
- The population in Cleveland is higher at 3,548, compared to 1,045 in Cedar bluff.
- Residents in Cedar bluff have a higher median age of 48.9 years compared to 39.6 years in Cleveland.
- Cleveland has a higher median income of $46,994, compared to $41,094 in Cedar bluff.
- A higher percentage of married families is found in Cedar bluff at 54.0% compared to 25.0% in Cleveland.
- The poverty level is higher in Cleveland at 12%, compared to 8% in Cedar bluff.
- The unemployment rate in Cedar bluff is higher at 4.2%, compared to 3.5% in Cleveland.
Demographics
Demographics Cedar bluff vs Cleveland provide insight into the diversity of the communities to compare.
Demographic | Cedar bluff | Cleveland |
---|---|---|
Black | Data is updating | 5 |
White | 100 | 84 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 2 |
Two or More Races | Data is updating | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Cedar bluff vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 5% compared to 0% in Cedar bluff.
- Cedar bluff has a higher percentage of White residents at 100% compared to 84% in Cleveland.
- In Cleveland, the Asian population stands at 2%, greater than 0% in Cedar bluff.
- Cleveland has a higher percentage of Hispanic residents at 2%, compared to 0% in Cedar bluff.
- The percentage of residents identifying as two or more races is higher in Cleveland at 7%, compared to 0% in Cedar bluff.
- The percentage of American Indian residents is the same in both Cedar bluff and Cleveland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cedar bluff | Cleveland |
---|---|---|
Mental Health Not Good | 19.8% | 18.1% |
Physical Health Not Good | 13.5% | 12.8% |
Depression | 28.4% | 24.2% |
Smoking | 21.7% | 18.9% |
Binge Drinking | 18.0% | 16.2% |
Obesity | 36.2% | 33.2% |
Disability Percentage | 22.0% | 17.0% |
Health Statistics Comparison: Cedar bluff vs Cleveland
- More residents in Cedar bluff report poor mental health at 19.8% compared to 18.1% in Cleveland.
- Depression is more prevalent in Cedar bluff at 28.4% compared to 24.2% in Cleveland.
- Smoking is more prevalent in Cedar bluff at 21.7% compared to 18.9% in Cleveland.
- Binge drinking is more common in Cedar bluff at 18.0% compared to 16.2% in Cleveland.
- Obesity rates are higher in Cedar bluff at 36.2% compared to 33.2% in Cleveland.
- Disability percentages are higher in Cedar bluff at 22.0% 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 | Cedar bluff | Cleveland |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.8% (30) |
High School Diploma | 32.9% (344) | 18.5% (656) |
Less than High School | 19.7% (206) | 15.4% (545) |
Bachelor's Degree and Higher | 13.0% (136) | 10.2% (362) |
Education Levels Comparison: Cedar bluff vs Cleveland
- In Cleveland, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Cedar bluff.
- A higher percentage of residents in Cedar bluff hold a high school diploma at 32.9% compared to 18.5% in Cleveland.
- More residents in Cedar bluff have less than a high school education at 19.7% compared to 15.4% in Cleveland.
- A higher percentage of residents in Cedar bluff hold a bachelor's degree or higher at 13.0% compared to 10.2% in Cleveland.
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.