Demographics details for Lorida, FL vs Dacula, GA
Population Overview
Compare main population characteristics in Lorida, FL vs Dacula, GA.
| Data | Lorida | Dacula |
|---|---|---|
| Population | 500 | 7,460 |
| Median Age | 50.0 years | 35.0 years |
| Median Income | $60,000 | $81,322 |
| Married Families | 80.0% | 39.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Lorida vs Dacula
- The population in Dacula is higher at 7,460, compared to 500 in Lorida.
- Residents in Lorida have a higher median age of 50.0 years compared to 35.0 years in Dacula.
- Dacula has a higher median income of $81,322, compared to $60,000 in Lorida.
- A higher percentage of married families is found in Lorida at 80.0% compared to 39.0% in Dacula.
- Lorida has a higher poverty level at 12% compared to 5% in Dacula.
- The unemployment rate in Lorida is higher at 5.0%, compared to 3.2% in Dacula.
Demographics
Demographics Lorida vs Dacula provide insight into the diversity of the communities to compare.
| Demographic | Lorida | Dacula |
|---|---|---|
| Black | 2 | 23 |
| White | 95 | 41 |
| Asian | 1 | 7 |
| Hispanic | 2 | 19 |
| Two or More Races | Data is updating | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Lorida vs Dacula
- In Dacula, the percentage of Black residents is higher at 23% compared to 2% in Lorida.
- Lorida has a higher percentage of White residents at 95% compared to 41% in Dacula.
- In Dacula, the Asian population stands at 7%, greater than 1% in Lorida.
- Dacula has a higher percentage of Hispanic residents at 19%, compared to 2% in Lorida.
- The percentage of residents identifying as two or more races is higher in Dacula at 9%, compared to 0% in Lorida.
- In Dacula, the percentage of American Indian residents is higher at 1%, compared to 0% in Lorida.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lorida | Dacula |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.4% |
| Physical Health Not Good | Data is updating% | 9.5% |
| Depression | Data is updating% | 19.1% |
| Smoking | Data is updating% | 12.9% |
| Binge Drinking | Data is updating% | 16.5% |
| Obesity | Data is updating% | 29.7% |
| Disability Percentage | Data is updating% | 16.0% |
Health Statistics Comparison: Lorida vs Dacula
- In Dacula, a higher percentage report poor mental health at 14.4% compared to 0.0% in Lorida.
- Higher depression rates are seen in Dacula at 19.1% versus 0.0% in Lorida.
- Dacula has a higher smoking rate at 12.9% compared to 0.0% in Lorida.
- More residents engage in binge drinking in Dacula at 16.5% compared to 0.0% in Lorida.
- Dacula has higher obesity rates at 29.7% compared to 0.0% in Lorida.
- There is a higher percentage of disabled individuals in Dacula at 16.0% compared to 0.0% in Lorida.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lorida | Dacula |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 4.8% (355) |
| High School Diploma | 0.0% (Data is updating) | 8.0% (599) |
| Less than High School | 0.0% (Data is updating) | 17.0% (1,267) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 13.2% (988) |
Education Levels Comparison: Lorida vs Dacula
- In Dacula, a larger percentage of residents lack formal schooling at 4.8% compared to 0.0% in Lorida.
- In Dacula, the rate of residents with high school diplomas is higher at 8.0% compared to 0.0% in Lorida.
- The percentage of residents with less than a high school education is higher in Dacula at 17.0%, compared to 0.0% in Lorida.
- In Dacula, a larger share of residents have a bachelor's degree or higher at 13.2% compared to 0.0% in Lorida.
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.