Demographics details for Tea, SD vs Milledgeville, GA
Population Overview
Compare main population characteristics in Tea, SD vs Milledgeville, GA.
| Data | Tea | Milledgeville |
|---|---|---|
| Population | 6,918 | 16,837 |
| Median Age | 30.2 years | 26.5 years |
| Median Income | $99,153 | $40,672 |
| Married Families | 39.0% | 20.0% |
| Poverty Level | 6% | 24% |
| Unemployment Rate | 2.5 | 4.5 |
Population Comparison: Tea vs Milledgeville
- The population in Milledgeville is higher at 16,837, compared to 6,918 in Tea.
- Residents in Tea have a higher median age of 30.2 years compared to 26.5 years in Milledgeville.
- Tea has a higher median income of $99,153 compared to $40,672 in Milledgeville.
- A higher percentage of married families is found in Tea at 39.0% compared to 20.0% in Milledgeville.
- The poverty level is higher in Milledgeville at 24%, compared to 6% in Tea.
- Milledgeville has a higher unemployment rate at 4.5% compared to 2.5% in Tea.
Demographics
Demographics Tea vs Milledgeville provide insight into the diversity of the communities to compare.
| Demographic | Tea | Milledgeville |
|---|---|---|
| Black | 2 | 45 |
| White | 95 | 47 |
| Asian | 1 | 3 |
| Hispanic | Data is updating | 3 |
| Two or More Races | 2 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Tea vs Milledgeville
- In Milledgeville, the percentage of Black residents is higher at 45% compared to 2% in Tea.
- Tea has a higher percentage of White residents at 95% compared to 47% in Milledgeville.
- In Milledgeville, the Asian population stands at 3%, greater than 1% in Tea.
- Milledgeville has a higher percentage of Hispanic residents at 3%, compared to 0% in Tea.
- Both Tea and Milledgeville have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Tea and Milledgeville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tea | Milledgeville |
|---|---|---|
| Mental Health Not Good | 11.3% | 18.3% |
| Physical Health Not Good | 7.7% | 14.1% |
| Depression | 16.6% | 20.6% |
| Smoking | 12.6% | 21.1% |
| Binge Drinking | 21.6% | 14.2% |
| Obesity | 34.5% | 42.7% |
| Disability Percentage | 4.0% | 13.0% |
Health Statistics Comparison: Tea vs Milledgeville
- In Milledgeville, a higher percentage report poor mental health at 18.3% compared to 11.3% in Tea.
- Higher depression rates are seen in Milledgeville at 20.6% versus 16.6% in Tea.
- Milledgeville has a higher smoking rate at 21.1% compared to 12.6% in Tea.
- Binge drinking is more common in Tea at 21.6% compared to 14.2% in Milledgeville.
- Milledgeville has higher obesity rates at 42.7% compared to 34.5% in Tea.
- There is a higher percentage of disabled individuals in Milledgeville at 13.0% compared to 4.0% in Tea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Tea | Milledgeville |
|---|---|---|
| No Schooling | 0.1% (10) | 0.8% (139) |
| High School Diploma | 7.8% (537) | 11.0% (1,844) |
| Less than High School | 1.6% (108) | 12.1% (2,041) |
| Bachelor's Degree and Higher | 19.9% (1,378) | 13.3% (2,237) |
Education Levels Comparison: Tea vs Milledgeville
- In Milledgeville, a larger percentage of residents lack formal schooling at 0.8% compared to 0.1% in Tea.
- In Milledgeville, the rate of residents with high school diplomas is higher at 11.0% compared to 7.8% in Tea.
- The percentage of residents with less than a high school education is higher in Milledgeville at 12.1%, compared to 1.6% in Tea.
- A higher percentage of residents in Tea hold a bachelor's degree or higher at 19.9% compared to 13.3% in Milledgeville.
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.