Demographics details for Central city, KY vs Cleveland, GA
Population Overview
Compare main population characteristics in Central city, KY vs Cleveland, GA.
Data | Central city | Cleveland |
---|---|---|
Population | 5,810 | 3,548 |
Median Age | 33.5 years | 39.6 years |
Median Income | $52,184 | $46,994 |
Married Families | 38.0% | 25.0% |
Poverty Level | 16% | 12% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Central city vs Cleveland
- In Central city, the population is higher at 5,810, compared to 3,548 in Cleveland.
- The median age in Cleveland is higher at 39.6 years, compared to 33.5 years in Central city.
- Central city has a higher median income of $52,184 compared to $46,994 in Cleveland.
- A higher percentage of married families is found in Central city at 38.0% compared to 25.0% in Cleveland.
- Central city has a higher poverty level at 16% compared to 12% in Cleveland.
- The unemployment rate is the same in both Central city and Cleveland at 3.5%.
Demographics
Demographics Central city vs Cleveland provide insight into the diversity of the communities to compare.
Demographic | Central city | Cleveland |
---|---|---|
Black | 3 | 5 |
White | 88 | 84 |
Asian | Data is updating | 2 |
Hispanic | 2 | 2 |
Two or More Races | 6 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: Central city vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 5% compared to 3% in Central city.
- Central city has a higher percentage of White residents at 88% compared to 84% in Cleveland.
- In Cleveland, the Asian population stands at 2%, greater than 0% in Central city.
- The percentage of Hispanic residents is the same in both Central city and Cleveland at 2%.
- The percentage of residents identifying as two or more races is higher in Cleveland at 7%, compared to 6% in Central city.
- A greater percentage of American Indian residents live in Central city at 1% compared to 0% in Cleveland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Central city | Cleveland |
---|---|---|
Mental Health Not Good | 19.3% | 18.1% |
Physical Health Not Good | 15.5% | 12.8% |
Depression | 26.8% | 24.2% |
Smoking | 24.8% | 18.9% |
Binge Drinking | 14.8% | 16.2% |
Obesity | 41.9% | 33.2% |
Disability Percentage | 15.0% | 17.0% |
Health Statistics Comparison: Central city vs Cleveland
- More residents in Central city report poor mental health at 19.3% compared to 18.1% in Cleveland.
- Depression is more prevalent in Central city at 26.8% compared to 24.2% in Cleveland.
- Smoking is more prevalent in Central city at 24.8% compared to 18.9% in Cleveland.
- More residents engage in binge drinking in Cleveland at 16.2% compared to 14.8% in Central city.
- Obesity rates are higher in Central city at 41.9% compared to 33.2% in Cleveland.
- There is a higher percentage of disabled individuals in Cleveland at 17.0% compared to 15.0% in Central city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Central city | Cleveland |
---|---|---|
No Schooling | 1.1% (65) | 0.8% (30) |
High School Diploma | 15.4% (897) | 18.5% (656) |
Less than High School | 15.6% (905) | 15.4% (545) |
Bachelor's Degree and Higher | 8.3% (480) | 10.2% (362) |
Education Levels Comparison: Central city vs Cleveland
- A higher percentage of residents in Central city have no formal schooling at 1.1% compared to 0.8% in Cleveland.
- In Cleveland, the rate of residents with high school diplomas is higher at 18.5% compared to 15.4% in Central city.
- More residents in Central city have less than a high school education at 15.6% compared to 15.4% in Cleveland.
- In Cleveland, a larger share of residents have a bachelor's degree or higher at 10.2% compared to 8.3% in Central city.
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.