Demographics details for Taylorville, IL vs Winder, GA
Population Overview
Compare main population characteristics in Taylorville, IL vs Winder, GA.
Data | Taylorville | Winder |
---|---|---|
Population | 10,312 | 19,400 |
Median Age | 38.2 years | 36.4 years |
Median Income | $49,471 | $57,365 |
Married Families | 35.0% | 34.0% |
Poverty Level | 10% | 13% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Taylorville vs Winder
- The population in Winder is higher at 19,400, compared to 10,312 in Taylorville.
- Residents in Taylorville have a higher median age of 38.2 years compared to 36.4 years in Winder.
- Winder has a higher median income of $57,365, compared to $49,471 in Taylorville.
- A higher percentage of married families is found in Taylorville at 35.0% compared to 34.0% in Winder.
- The poverty level is higher in Winder at 13%, compared to 10% in Taylorville.
- The unemployment rate is the same in both Taylorville and Winder at 3.5%.
Demographics
Demographics Taylorville vs Winder provide insight into the diversity of the communities to compare.
Demographic | Taylorville | Winder |
---|---|---|
Black | 6 | 20 |
White | 91 | 53 |
Asian | 2 | 2 |
Hispanic | Data is updating | 15 |
Two or More Races | 1 | 10 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Taylorville vs Winder
- In Winder, the percentage of Black residents is higher at 20% compared to 6% in Taylorville.
- Taylorville has a higher percentage of White residents at 91% compared to 53% in Winder.
- Both Taylorville and Winder have the same percentage of Asian residents at 2%.
- Winder has a higher percentage of Hispanic residents at 15%, compared to 0% in Taylorville.
- The percentage of residents identifying as two or more races is higher in Winder at 10%, compared to 1% in Taylorville.
- The percentage of American Indian residents is the same in both Taylorville and Winder at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Taylorville | Winder |
---|---|---|
Mental Health Not Good | 17.9% | 17.9% |
Physical Health Not Good | 12.6% | 12.9% |
Depression | 22.9% | 22.6% |
Smoking | 20.7% | 19.8% |
Binge Drinking | 17.2% | 15.5% |
Obesity | 39.7% | 40.9% |
Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Taylorville vs Winder
- Poor mental health levels are equal in both Taylorville and Winder at 17.9%.
- Depression is more prevalent in Taylorville at 22.9% compared to 22.6% in Winder.
- Smoking is more prevalent in Taylorville at 20.7% compared to 19.8% in Winder.
- Binge drinking is more common in Taylorville at 17.2% compared to 15.5% in Winder.
- Winder has higher obesity rates at 40.9% compared to 39.7% in Taylorville.
- Disability percentages are higher in Taylorville at 16.0% compared to 14.0% in Winder.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Taylorville | Winder |
---|---|---|
No Schooling | 0.6% (63) | 1.2% (240) |
High School Diploma | 28.5% (2,938) | 15.8% (3,070) |
Less than High School | 9.1% (938) | 14.0% (2,718) |
Bachelor's Degree and Higher | 13.6% (1,406) | 13.0% (2,516) |
Education Levels Comparison: Taylorville vs Winder
- In Winder, a larger percentage of residents lack formal schooling at 1.2% compared to 0.6% in Taylorville.
- A higher percentage of residents in Taylorville hold a high school diploma at 28.5% compared to 15.8% in Winder.
- The percentage of residents with less than a high school education is higher in Winder at 14.0%, compared to 9.1% in Taylorville.
- A higher percentage of residents in Taylorville hold a bachelor's degree or higher at 13.6% compared to 13.0% in Winder.
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.