Demographics details for Blytheville, AR vs Winder, GA
Population Overview
Compare main population characteristics in Blytheville, AR vs Winder, GA.
Data | Blytheville | Winder |
---|---|---|
Population | 12,706 | 19,400 |
Median Age | 38.1 years | 36.4 years |
Median Income | $45,746 | $57,365 |
Married Families | 33.0% | 34.0% |
Poverty Level | 21% | 13% |
Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Blytheville vs Winder
- The population in Winder is higher at 19,400, compared to 12,706 in Blytheville.
- Residents in Blytheville have a higher median age of 38.1 years compared to 36.4 years in Winder.
- Winder has a higher median income of $57,365, compared to $45,746 in Blytheville.
- In Winder, the percentage of married families is higher at 34.0%, compared to 33.0% in Blytheville.
- Blytheville has a higher poverty level at 21% compared to 13% in Winder.
- The unemployment rate in Blytheville is higher at 4.2%, compared to 3.5% in Winder.
Demographics
Demographics Blytheville vs Winder provide insight into the diversity of the communities to compare.
Demographic | Blytheville | Winder |
---|---|---|
Black | 64 | 20 |
White | 29 | 53 |
Asian | Data is updating | 2 |
Hispanic | 5 | 15 |
Two or More Races | 2 | 10 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Blytheville vs Winder
- A higher percentage of Black residents are in Blytheville at 64% compared to 20% in Winder.
- The percentage of White residents is higher in Winder at 53% compared to 29% in Blytheville.
- In Winder, the Asian population stands at 2%, greater than 0% in Blytheville.
- Winder has a higher percentage of Hispanic residents at 15%, compared to 5% in Blytheville.
- The percentage of residents identifying as two or more races is higher in Winder at 10%, compared to 2% in Blytheville.
- The percentage of American Indian residents is the same in both Blytheville and Winder at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Blytheville | Winder |
---|---|---|
Mental Health Not Good | 20.8% | 17.9% |
Physical Health Not Good | 16.0% | 12.9% |
Depression | 24.9% | 22.6% |
Smoking | 26.3% | 19.8% |
Binge Drinking | 12.2% | 15.5% |
Obesity | 42.0% | 40.9% |
Disability Percentage | 15.0% | 14.0% |
Health Statistics Comparison: Blytheville vs Winder
- More residents in Blytheville report poor mental health at 20.8% compared to 17.9% in Winder.
- Depression is more prevalent in Blytheville at 24.9% compared to 22.6% in Winder.
- Smoking is more prevalent in Blytheville at 26.3% compared to 19.8% in Winder.
- More residents engage in binge drinking in Winder at 15.5% compared to 12.2% in Blytheville.
- Obesity rates are higher in Blytheville at 42.0% compared to 40.9% in Winder.
- Disability percentages are higher in Blytheville at 15.0% 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 | Blytheville | Winder |
---|---|---|
No Schooling | 1.0% (133) | 1.2% (240) |
High School Diploma | 24.0% (3,051) | 15.8% (3,070) |
Less than High School | 12.5% (1,585) | 14.0% (2,718) |
Bachelor's Degree and Higher | 10.6% (1,349) | 13.0% (2,516) |
Education Levels Comparison: Blytheville vs Winder
- In Winder, a larger percentage of residents lack formal schooling at 1.2% compared to 1.0% in Blytheville.
- A higher percentage of residents in Blytheville hold a high school diploma at 24.0% 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 12.5% in Blytheville.
- In Winder, a larger share of residents have a bachelor's degree or higher at 13.0% compared to 10.6% in Blytheville.
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.