Demographics details for Dacula, GA vs Cincinnati, OH
Population Overview
Compare main population characteristics in Dacula, GA vs Cincinnati, OH.
Data | Dacula | Cincinnati |
---|---|---|
Population | 7,460 | 309,513 |
Median Age | 35.0 years | 32.9 years |
Median Income | $81,322 | $49,191 |
Married Families | 39.0% | 24.0% |
Poverty Level | 5% | 17% |
Unemployment Rate | 3.2 | 5.8 |
Population Comparison: Dacula vs Cincinnati
- The population in Cincinnati is higher at 309,513, compared to 7,460 in Dacula.
- Residents in Dacula have a higher median age of 35.0 years compared to 32.9 years in Cincinnati.
- Dacula has a higher median income of $81,322 compared to $49,191 in Cincinnati.
- A higher percentage of married families is found in Dacula at 39.0% compared to 24.0% in Cincinnati.
- The poverty level is higher in Cincinnati at 17%, compared to 5% in Dacula.
- Cincinnati has a higher unemployment rate at 5.8% compared to 3.2% in Dacula.
Demographics
Demographics Dacula vs Cincinnati provide insight into the diversity of the communities to compare.
Demographic | Dacula | Cincinnati |
---|---|---|
Black | 23 | 40 |
White | 41 | 46 |
Asian | 7 | 3 |
Hispanic | 19 | 5 |
Two or More Races | 9 | 6 |
American Indian | 1 | Data is updating |
Demographics Comparison: Dacula vs Cincinnati
- In Cincinnati, the percentage of Black residents is higher at 40% compared to 23% in Dacula.
- The percentage of White residents is higher in Cincinnati at 46% compared to 41% in Dacula.
- The Asian population is larger in Dacula at 7% compared to 3% in Cincinnati.
- The Hispanic community is larger in Dacula at 19% compared to 5% in Cincinnati.
- More residents identify as two or more races in Dacula at 9% compared to 6% in Cincinnati.
- A greater percentage of American Indian residents live in Dacula at 1% compared to 0% in Cincinnati.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dacula | Cincinnati |
---|---|---|
Mental Health Not Good | 14.4% | 18.0% |
Physical Health Not Good | 9.5% | 13.1% |
Depression | 19.1% | 21.6% |
Smoking | 12.9% | 21.3% |
Binge Drinking | 16.5% | 18.2% |
Obesity | 29.7% | 39.8% |
Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Dacula vs Cincinnati
- In Cincinnati, a higher percentage report poor mental health at 18.0% compared to 14.4% in Dacula.
- Higher depression rates are seen in Cincinnati at 21.6% versus 19.1% in Dacula.
- Cincinnati has a higher smoking rate at 21.3% compared to 12.9% in Dacula.
- More residents engage in binge drinking in Cincinnati at 18.2% compared to 16.5% in Dacula.
- Cincinnati has higher obesity rates at 39.8% compared to 29.7% in Dacula.
- Disability percentages are higher in Dacula at 16.0% compared to 13.0% in Cincinnati.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Dacula | Cincinnati |
---|---|---|
No Schooling | 4.8% (355) | 0.9% (2,632) |
High School Diploma | 8.0% (599) | 12.5% (38,643) |
Less than High School | 17.0% (1,267) | 9.6% (29,753) |
Bachelor's Degree and Higher | 13.2% (988) | 26.4% (81,592) |
Education Levels Comparison: Dacula vs Cincinnati
- A higher percentage of residents in Dacula have no formal schooling at 4.8% compared to 0.9% in Cincinnati.
- In Cincinnati, the rate of residents with high school diplomas is higher at 12.5% compared to 8.0% in Dacula.
- More residents in Dacula have less than a high school education at 17.0% compared to 9.6% in Cincinnati.
- In Cincinnati, a larger share of residents have a bachelor's degree or higher at 26.4% compared to 13.2% in Dacula.
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.