Demographics details for Miller, NE vs Sylvania, GA
Population Overview
Compare main population characteristics in Miller, NE vs Sylvania, GA.
Data | Miller | Sylvania |
---|---|---|
Population | 129 | 2,602 |
Median Age | 41.2 years | 43.7 years |
Median Income | $60,000 | $36,682 |
Married Families | 29.0% | 33.0% |
Poverty Level | Data is updating | 18% |
Unemployment Rate | Data is updating | 5.2 |
Population Comparison: Miller vs Sylvania
- The population in Sylvania is higher at 2,602, compared to 129 in Miller.
- The median age in Sylvania is higher at 43.7 years, compared to 41.2 years in Miller.
- Miller has a higher median income of $60,000 compared to $36,682 in Sylvania.
- In Sylvania, the percentage of married families is higher at 33.0%, compared to 29.0% in Miller.
- The poverty level is higher in Sylvania at 18%, compared to 0% in Miller.
- Sylvania has a higher unemployment rate at 5.2% compared to 0.0% in Miller.
Demographics
Demographics Miller vs Sylvania provide insight into the diversity of the communities to compare.
Demographic | Miller | Sylvania |
---|---|---|
Black | 3 | 57 |
White | 82 | 40 |
Asian | Data is updating | Data is updating |
Hispanic | 15 | 1 |
Two or More Races | Data is updating | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Miller vs Sylvania
- In Sylvania, the percentage of Black residents is higher at 57% compared to 3% in Miller.
- Miller has a higher percentage of White residents at 82% compared to 40% in Sylvania.
- Both Miller and Sylvania have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Miller at 15% compared to 1% in Sylvania.
- The percentage of residents identifying as two or more races is higher in Sylvania at 2%, compared to 0% in Miller.
- The percentage of American Indian residents is the same in both Miller and Sylvania at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Miller | Sylvania |
---|---|---|
Mental Health Not Good | 13.0% | 18.9% |
Physical Health Not Good | 9.1% | 14.4% |
Depression | 18.1% | 21.8% |
Smoking | 15.5% | 21.8% |
Binge Drinking | 22.9% | 13.6% |
Obesity | 39.5% | 40.5% |
Disability Percentage | 31.0% | 16.0% |
Health Statistics Comparison: Miller vs Sylvania
- In Sylvania, a higher percentage report poor mental health at 18.9% compared to 13.0% in Miller.
- Higher depression rates are seen in Sylvania at 21.8% versus 18.1% in Miller.
- Sylvania has a higher smoking rate at 21.8% compared to 15.5% in Miller.
- Binge drinking is more common in Miller at 22.9% compared to 13.6% in Sylvania.
- Sylvania has higher obesity rates at 40.5% compared to 39.5% in Miller.
- Disability percentages are higher in Miller at 31.0% compared to 16.0% in Sylvania.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Miller | Sylvania |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.3% (8) |
High School Diploma | 19.4% (25) | 27.1% (704) |
Less than High School | 15.5% (20) | 18.6% (485) |
Bachelor's Degree and Higher | 17.8% (23) | 10.4% (271) |
Education Levels Comparison: Miller vs Sylvania
- In Sylvania, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Miller.
- In Sylvania, the rate of residents with high school diplomas is higher at 27.1% compared to 19.4% in Miller.
- The percentage of residents with less than a high school education is higher in Sylvania at 18.6%, compared to 15.5% in Miller.
- A higher percentage of residents in Miller hold a bachelor's degree or higher at 17.8% compared to 10.4% in Sylvania.
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.