Demographics details for Duluth, MN vs Sugar valley, GA
Population Overview
Compare main population characteristics in Duluth, MN vs Sugar valley, GA.
Data | Duluth | Sugar valley |
---|---|---|
Population | 86,619 | 8,120 |
Median Age | 34.7 years | 38.8 years |
Median Income | $63,545 | $68,839 |
Married Families | 33.0% | 42.0% |
Poverty Level | 12% | 9% |
Unemployment Rate | 3.7 | 3.5 |
Population Comparison: Duluth vs Sugar valley
- In Duluth, the population is higher at 86,619, compared to 8,120 in Sugar valley.
- The median age in Sugar valley is higher at 38.8 years, compared to 34.7 years in Duluth.
- Sugar valley has a higher median income of $68,839, compared to $63,545 in Duluth.
- In Sugar valley, the percentage of married families is higher at 42.0%, compared to 33.0% in Duluth.
- Duluth has a higher poverty level at 12% compared to 9% in Sugar valley.
- The unemployment rate in Duluth is higher at 3.7%, compared to 3.5% in Sugar valley.
Demographics
Demographics Duluth vs Sugar valley provide insight into the diversity of the communities to compare.
Demographic | Duluth | Sugar valley |
---|---|---|
Black | 3 | Data is updating |
White | 85 | 86 |
Asian | 2 | 1 |
Hispanic | 3 | 9 |
Two or More Races | 5 | 4 |
American Indian | 2 | Data is updating |
Demographics Comparison: Duluth vs Sugar valley
- A higher percentage of Black residents are in Duluth at 3% compared to 0% in Sugar valley.
- The percentage of White residents is higher in Sugar valley at 86% compared to 85% in Duluth.
- The Asian population is larger in Duluth at 2% compared to 1% in Sugar valley.
- Sugar valley has a higher percentage of Hispanic residents at 9%, compared to 3% in Duluth.
- More residents identify as two or more races in Duluth at 5% compared to 4% in Sugar valley.
- A greater percentage of American Indian residents live in Duluth at 2% compared to 0% in Sugar valley.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Duluth | Sugar valley |
---|---|---|
Mental Health Not Good | 16.7% | Data is updating% |
Physical Health Not Good | 9.9% | Data is updating% |
Depression | 24.1% | Data is updating% |
Smoking | 19.0% | Data is updating% |
Binge Drinking | 20.2% | Data is updating% |
Obesity | 35.2% | Data is updating% |
Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Duluth vs Sugar valley
- More residents in Duluth report poor mental health at 16.7% compared to 0.0% in Sugar valley.
- Depression is more prevalent in Duluth at 24.1% compared to 0.0% in Sugar valley.
- Smoking is more prevalent in Duluth at 19.0% compared to 0.0% in Sugar valley.
- Binge drinking is more common in Duluth at 20.2% compared to 0.0% in Sugar valley.
- Obesity rates are higher in Duluth at 35.2% compared to 0.0% in Sugar valley.
- There is a higher percentage of disabled individuals in Sugar valley at 16.0% compared to 13.0% in Duluth.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Duluth | Sugar valley |
---|---|---|
No Schooling | 0.4% (325) | 1.4% (111) |
High School Diploma | 11.0% (9,564) | 16.9% (1,371) |
Less than High School | 5.5% (4,734) | 22.0% (1,784) |
Bachelor's Degree and Higher | 26.0% (22,522) | 7.6% (619) |
Education Levels Comparison: Duluth vs Sugar valley
- In Sugar valley, a larger percentage of residents lack formal schooling at 1.4% compared to 0.4% in Duluth.
- In Sugar valley, the rate of residents with high school diplomas is higher at 16.9% compared to 11.0% in Duluth.
- The percentage of residents with less than a high school education is higher in Sugar valley at 22.0%, compared to 5.5% in Duluth.
- A higher percentage of residents in Duluth hold a bachelor's degree or higher at 26.0% compared to 7.6% in Sugar valley.
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.