Demographics details for Pulaski, WI vs Milledgeville, GA
Population Overview
Compare main population characteristics in Pulaski, WI vs Milledgeville, GA.
Data | Pulaski | Milledgeville |
---|---|---|
Population | 4,045 | 16,837 |
Median Age | 29.1 years | 26.5 years |
Median Income | $65,906 | $40,672 |
Married Families | 28.0% | 20.0% |
Poverty Level | 10% | 24% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Pulaski vs Milledgeville
- The population in Milledgeville is higher at 16,837, compared to 4,045 in Pulaski.
- Residents in Pulaski have a higher median age of 29.1 years compared to 26.5 years in Milledgeville.
- Pulaski has a higher median income of $65,906 compared to $40,672 in Milledgeville.
- A higher percentage of married families is found in Pulaski at 28.0% compared to 20.0% in Milledgeville.
- The poverty level is higher in Milledgeville at 24%, compared to 10% in Pulaski.
- Milledgeville has a higher unemployment rate at 4.5% compared to 3.5% in Pulaski.
Demographics
Demographics Pulaski vs Milledgeville provide insight into the diversity of the communities to compare.
Demographic | Pulaski | Milledgeville |
---|---|---|
Black | 1 | 45 |
White | 84 | 47 |
Asian | 2 | 3 |
Hispanic | 2 | 3 |
Two or More Races | 10 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Pulaski vs Milledgeville
- In Milledgeville, the percentage of Black residents is higher at 45% compared to 1% in Pulaski.
- Pulaski has a higher percentage of White residents at 84% compared to 47% in Milledgeville.
- In Milledgeville, the Asian population stands at 3%, greater than 2% in Pulaski.
- Milledgeville has a higher percentage of Hispanic residents at 3%, compared to 2% in Pulaski.
- More residents identify as two or more races in Pulaski at 10% compared to 2% in Milledgeville.
- A greater percentage of American Indian residents live in Pulaski at 1% compared to 0% in Milledgeville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pulaski | Milledgeville |
---|---|---|
Mental Health Not Good | 14.5% | 18.3% |
Physical Health Not Good | 9.4% | 14.1% |
Depression | 22.4% | 20.6% |
Smoking | 14.6% | 21.1% |
Binge Drinking | 24.7% | 14.2% |
Obesity | 35.4% | 42.7% |
Disability Percentage | 14.0% | 13.0% |
Health Statistics Comparison: Pulaski vs Milledgeville
- In Milledgeville, a higher percentage report poor mental health at 18.3% compared to 14.5% in Pulaski.
- Depression is more prevalent in Pulaski at 22.4% compared to 20.6% in Milledgeville.
- Milledgeville has a higher smoking rate at 21.1% compared to 14.6% in Pulaski.
- Binge drinking is more common in Pulaski at 24.7% compared to 14.2% in Milledgeville.
- Milledgeville has higher obesity rates at 42.7% compared to 35.4% in Pulaski.
- Disability percentages are higher in Pulaski at 14.0% compared to 13.0% in Milledgeville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pulaski | Milledgeville |
---|---|---|
No Schooling | 0.4% (16) | 0.8% (139) |
High School Diploma | 17.7% (715) | 11.0% (1,844) |
Less than High School | 4.7% (191) | 12.1% (2,041) |
Bachelor's Degree and Higher | 10.7% (432) | 13.3% (2,237) |
Education Levels Comparison: Pulaski vs Milledgeville
- In Milledgeville, a larger percentage of residents lack formal schooling at 0.8% compared to 0.4% in Pulaski.
- A higher percentage of residents in Pulaski hold a high school diploma at 17.7% compared to 11.0% in Milledgeville.
- The percentage of residents with less than a high school education is higher in Milledgeville at 12.1%, compared to 4.7% in Pulaski.
- In Milledgeville, a larger share of residents have a bachelor's degree or higher at 13.3% compared to 10.7% in Pulaski.
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.