Demographics details for Sierra vista, AZ vs Winder, GA
Population Overview
Compare main population characteristics in Sierra vista, AZ vs Winder, GA.
Data | Sierra vista | Winder |
---|---|---|
Population | 45,439 | 19,400 |
Median Age | 37.0 years | 36.4 years |
Median Income | $70,899 | $57,365 |
Married Families | 42.0% | 34.0% |
Poverty Level | 13% | 13% |
Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Sierra vista vs Winder
- In Sierra vista, the population is higher at 45,439, compared to 19,400 in Winder.
- Residents in Sierra vista have a higher median age of 37.0 years compared to 36.4 years in Winder.
- Sierra vista has a higher median income of $70,899 compared to $57,365 in Winder.
- A higher percentage of married families is found in Sierra vista at 42.0% compared to 34.0% in Winder.
- The poverty level is identical in both Sierra vista and Winder at 13%.
- The unemployment rate in Sierra vista is higher at 4.0%, compared to 3.5% in Winder.
Demographics
Demographics Sierra vista vs Winder provide insight into the diversity of the communities to compare.
Demographic | Sierra vista | Winder |
---|---|---|
Black | 8 | 20 |
White | 48 | 53 |
Asian | 4 | 2 |
Hispanic | 24 | 15 |
Two or More Races | 15 | 10 |
American Indian | 1 | Data is updating |
Demographics Comparison: Sierra vista vs Winder
- In Winder, the percentage of Black residents is higher at 20% compared to 8% in Sierra vista.
- The percentage of White residents is higher in Winder at 53% compared to 48% in Sierra vista.
- The Asian population is larger in Sierra vista at 4% compared to 2% in Winder.
- The Hispanic community is larger in Sierra vista at 24% compared to 15% in Winder.
- More residents identify as two or more races in Sierra vista at 15% compared to 10% in Winder.
- A greater percentage of American Indian residents live in Sierra vista at 1% compared to 0% in Winder.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sierra vista | Winder |
---|---|---|
Mental Health Not Good | 15.4% | 17.9% |
Physical Health Not Good | 10.8% | 12.9% |
Depression | 20.8% | 22.6% |
Smoking | 15.8% | 19.8% |
Binge Drinking | 18.2% | 15.5% |
Obesity | 32.2% | 40.9% |
Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Sierra vista vs Winder
- In Winder, a higher percentage report poor mental health at 17.9% compared to 15.4% in Sierra vista.
- Higher depression rates are seen in Winder at 22.6% versus 20.8% in Sierra vista.
- Winder has a higher smoking rate at 19.8% compared to 15.8% in Sierra vista.
- Binge drinking is more common in Sierra vista at 18.2% compared to 15.5% in Winder.
- Winder has higher obesity rates at 40.9% compared to 32.2% in Sierra vista.
- Disability percentages are the same in both Sierra vista and Winder at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sierra vista | Winder |
---|---|---|
No Schooling | 0.5% (224) | 1.2% (240) |
High School Diploma | 11.7% (5,296) | 15.8% (3,070) |
Less than High School | 8.2% (3,735) | 14.0% (2,718) |
Bachelor's Degree and Higher | 22.8% (10,354) | 13.0% (2,516) |
Education Levels Comparison: Sierra vista vs Winder
- In Winder, a larger percentage of residents lack formal schooling at 1.2% compared to 0.5% in Sierra vista.
- In Winder, the rate of residents with high school diplomas is higher at 15.8% compared to 11.7% in Sierra vista.
- The percentage of residents with less than a high school education is higher in Winder at 14.0%, compared to 8.2% in Sierra vista.
- A higher percentage of residents in Sierra vista hold a bachelor's degree or higher at 22.8% 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.