Demographics details for Norfolk, VA vs Winder, GA
Population Overview
Compare main population characteristics in Norfolk, VA vs Winder, GA.
Data | Norfolk | Winder |
---|---|---|
Population | 232,995 | 19,400 |
Median Age | 32.2 years | 36.4 years |
Median Income | $60,998 | $57,365 |
Married Families | 30.0% | 34.0% |
Poverty Level | 11% | 13% |
Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Norfolk vs Winder
- In Norfolk, the population is higher at 232,995, compared to 19,400 in Winder.
- The median age in Winder is higher at 36.4 years, compared to 32.2 years in Norfolk.
- Norfolk has a higher median income of $60,998 compared to $57,365 in Winder.
- In Winder, the percentage of married families is higher at 34.0%, compared to 30.0% in Norfolk.
- The poverty level is higher in Winder at 13%, compared to 11% in Norfolk.
- Winder has a higher unemployment rate at 3.5% compared to 3.4% in Norfolk.
Demographics
Demographics Norfolk vs Winder provide insight into the diversity of the communities to compare.
Demographic | Norfolk | Winder |
---|---|---|
Black | 41 | 20 |
White | 39 | 53 |
Asian | 4 | 2 |
Hispanic | 9 | 15 |
Two or More Races | 7 | 10 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Norfolk vs Winder
- A higher percentage of Black residents are in Norfolk at 41% compared to 20% in Winder.
- The percentage of White residents is higher in Winder at 53% compared to 39% in Norfolk.
- The Asian population is larger in Norfolk at 4% compared to 2% in Winder.
- Winder has a higher percentage of Hispanic residents at 15%, compared to 9% in Norfolk.
- The percentage of residents identifying as two or more races is higher in Winder at 10%, compared to 7% in Norfolk.
- The percentage of American Indian residents is the same in both Norfolk and Winder at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Norfolk | Winder |
---|---|---|
Mental Health Not Good | 17.1% | 17.9% |
Physical Health Not Good | 12.1% | 12.9% |
Depression | 20.8% | 22.6% |
Smoking | 18.9% | 19.8% |
Binge Drinking | 17.5% | 15.5% |
Obesity | 42.9% | 40.9% |
Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Norfolk vs Winder
- In Winder, a higher percentage report poor mental health at 17.9% compared to 17.1% in Norfolk.
- Higher depression rates are seen in Winder at 22.6% versus 20.8% in Norfolk.
- Winder has a higher smoking rate at 19.8% compared to 18.9% in Norfolk.
- Binge drinking is more common in Norfolk at 17.5% compared to 15.5% in Winder.
- Obesity rates are higher in Norfolk at 42.9% compared to 40.9% in Winder.
- There is a higher percentage of disabled individuals in Winder at 14.0% compared to 13.0% in Norfolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Norfolk | Winder |
---|---|---|
No Schooling | 1.0% (2,387) | 1.2% (240) |
High School Diploma | 12.9% (30,020) | 15.8% (3,070) |
Less than High School | 9.5% (22,233) | 14.0% (2,718) |
Bachelor's Degree and Higher | 21.0% (48,995) | 13.0% (2,516) |
Education Levels Comparison: Norfolk vs Winder
- In Winder, a larger percentage of residents lack formal schooling at 1.2% compared to 1.0% in Norfolk.
- In Winder, the rate of residents with high school diplomas is higher at 15.8% compared to 12.9% in Norfolk.
- The percentage of residents with less than a high school education is higher in Winder at 14.0%, compared to 9.5% in Norfolk.
- A higher percentage of residents in Norfolk hold a bachelor's degree or higher at 21.0% 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.