Demographics details for Dacula, GA vs Central city, NE
Population Overview
Compare main population characteristics in Dacula, GA vs Central city, NE.
Data | Dacula | Central city |
---|---|---|
Population | 7,460 | 3,078 |
Median Age | 35.0 years | 37.0 years |
Median Income | $81,322 | $54,063 |
Married Families | 39.0% | 38.0% |
Poverty Level | 5% | 9% |
Unemployment Rate | 3.2 | 2.5 |
Population Comparison: Dacula vs Central city
- In Dacula, the population is higher at 7,460, compared to 3,078 in Central city.
- The median age in Central city is higher at 37.0 years, compared to 35.0 years in Dacula.
- Dacula has a higher median income of $81,322 compared to $54,063 in Central city.
- A higher percentage of married families is found in Dacula at 39.0% compared to 38.0% in Central city.
- The poverty level is higher in Central city at 9%, compared to 5% in Dacula.
- The unemployment rate in Dacula is higher at 3.2%, compared to 2.5% in Central city.
Demographics
Demographics Dacula vs Central city provide insight into the diversity of the communities to compare.
Demographic | Dacula | Central city |
---|---|---|
Black | 23 | Data is updating |
White | 41 | 86 |
Asian | 7 | 3 |
Hispanic | 19 | 7 |
Two or More Races | 9 | 4 |
American Indian | 1 | Data is updating |
Demographics Comparison: Dacula vs Central city
- A higher percentage of Black residents are in Dacula at 23% compared to 0% in Central city.
- The percentage of White residents is higher in Central city at 86% compared to 41% in Dacula.
- The Asian population is larger in Dacula at 7% compared to 3% in Central city.
- The Hispanic community is larger in Dacula at 19% compared to 7% in Central city.
- More residents identify as two or more races in Dacula at 9% compared to 4% in Central city.
- A greater percentage of American Indian residents live in Dacula at 1% compared to 0% in Central city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Dacula | Central city |
---|---|---|
Mental Health Not Good | 14.4% | 14.5% |
Physical Health Not Good | 9.5% | 10.1% |
Depression | 19.1% | 18.6% |
Smoking | 12.9% | 17.5% |
Binge Drinking | 16.5% | 20.0% |
Obesity | 29.7% | 44.9% |
Disability Percentage | 16.0% | 18.0% |
Health Statistics Comparison: Dacula vs Central city
- In Central city, a higher percentage report poor mental health at 14.5% compared to 14.4% in Dacula.
- Depression is more prevalent in Dacula at 19.1% compared to 18.6% in Central city.
- Central city has a higher smoking rate at 17.5% compared to 12.9% in Dacula.
- More residents engage in binge drinking in Central city at 20.0% compared to 16.5% in Dacula.
- Central city has higher obesity rates at 44.9% compared to 29.7% in Dacula.
- There is a higher percentage of disabled individuals in Central city at 18.0% compared to 16.0% in Dacula.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Dacula | Central city |
---|---|---|
No Schooling | 4.8% (355) | 0.0% (Data is updating) |
High School Diploma | 8.0% (599) | 23.4% (721) |
Less than High School | 17.0% (1,267) | 5.8% (178) |
Bachelor's Degree and Higher | 13.2% (988) | 13.1% (404) |
Education Levels Comparison: Dacula vs Central city
- A higher percentage of residents in Dacula have no formal schooling at 4.8% compared to 0.0% in Central city.
- In Central city, the rate of residents with high school diplomas is higher at 23.4% compared to 8.0% in Dacula.
- More residents in Dacula have less than a high school education at 17.0% compared to 5.8% in Central city.
- A higher percentage of residents in Dacula hold a bachelor's degree or higher at 13.2% compared to 13.1% 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.