Demographics details for Dacula, GA vs Lewiston, ME
Population Overview
Compare main population characteristics in Dacula, GA vs Lewiston, ME.
| Data | Dacula | Lewiston |
|---|---|---|
| Population | 7,460 | 38,493 |
| Median Age | 35.0 years | 39.5 years |
| Median Income | $81,322 | $54,317 |
| Married Families | 39.0% | 33.0% |
| Poverty Level | 5% | 11% |
| Unemployment Rate | 3.2 | 3.2 |
Population Comparison: Dacula vs Lewiston
- The population in Lewiston is higher at 38,493, compared to 7,460 in Dacula.
- The median age in Lewiston is higher at 39.5 years, compared to 35.0 years in Dacula.
- Dacula has a higher median income of $81,322 compared to $54,317 in Lewiston.
- A higher percentage of married families is found in Dacula at 39.0% compared to 33.0% in Lewiston.
- The poverty level is higher in Lewiston at 11%, compared to 5% in Dacula.
- The unemployment rate is the same in both Dacula and Lewiston at 3.2%.
Demographics
Demographics Dacula vs Lewiston provide insight into the diversity of the communities to compare.
| Demographic | Dacula | Lewiston |
|---|---|---|
| Black | 23 | 11 |
| White | 41 | 79 |
| Asian | 7 | 2 |
| Hispanic | 19 | 3 |
| Two or More Races | 9 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Dacula vs Lewiston
- A higher percentage of Black residents are in Dacula at 23% compared to 11% in Lewiston.
- The percentage of White residents is higher in Lewiston at 79% compared to 41% in Dacula.
- The Asian population is larger in Dacula at 7% compared to 2% in Lewiston.
- The Hispanic community is larger in Dacula at 19% compared to 3% in Lewiston.
- More residents identify as two or more races in Dacula at 9% compared to 5% in Lewiston.
- A greater percentage of American Indian residents live in Dacula at 1% compared to 0% in Lewiston.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Dacula | Lewiston |
|---|---|---|
| Mental Health Not Good | 14.4% | 19.5% |
| Physical Health Not Good | 9.5% | 13.2% |
| Depression | 19.1% | 30.0% |
| Smoking | 12.9% | 21.9% |
| Binge Drinking | 16.5% | 16.1% |
| Obesity | 29.7% | 37.8% |
| Disability Percentage | 16.0% | 20.0% |
Health Statistics Comparison: Dacula vs Lewiston
- In Lewiston, a higher percentage report poor mental health at 19.5% compared to 14.4% in Dacula.
- Higher depression rates are seen in Lewiston at 30.0% versus 19.1% in Dacula.
- Lewiston has a higher smoking rate at 21.9% compared to 12.9% in Dacula.
- Binge drinking is more common in Dacula at 16.5% compared to 16.1% in Lewiston.
- Lewiston has higher obesity rates at 37.8% compared to 29.7% in Dacula.
- There is a higher percentage of disabled individuals in Lewiston at 20.0% 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 | Lewiston |
|---|---|---|
| No Schooling | 4.8% (355) | 1.5% (574) |
| High School Diploma | 8.0% (599) | 19.7% (7,566) |
| Less than High School | 17.0% (1,267) | 13.5% (5,195) |
| Bachelor's Degree and Higher | 13.2% (988) | 14.4% (5,538) |
Education Levels Comparison: Dacula vs Lewiston
- A higher percentage of residents in Dacula have no formal schooling at 4.8% compared to 1.5% in Lewiston.
- In Lewiston, the rate of residents with high school diplomas is higher at 19.7% compared to 8.0% in Dacula.
- More residents in Dacula have less than a high school education at 17.0% compared to 13.5% in Lewiston.
- In Lewiston, a larger share of residents have a bachelor's degree or higher at 14.4% 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.