Demographics details for Winslow, AR vs Warner robins, GA
Population Overview
Compare main population characteristics in Winslow, AR vs Warner robins, GA.
Data | Winslow | Warner robins |
---|---|---|
Population | 362 | 82,175 |
Median Age | 40.8 years | 32.4 years |
Median Income | $43,036 | $63,678 |
Married Families | 32.0% | 32.0% |
Poverty Level | 15% | 8% |
Unemployment Rate | 3.5 | 3.8 |
Population Comparison: Winslow vs Warner robins
- The population in Warner robins is higher at 82,175, compared to 362 in Winslow.
- Residents in Winslow have a higher median age of 40.8 years compared to 32.4 years in Warner robins.
- Warner robins has a higher median income of $63,678, compared to $43,036 in Winslow.
- The percentage of married families is the same in both Winslow and Warner robins at 32.0%.
- Winslow has a higher poverty level at 15% compared to 8% in Warner robins.
- Warner robins has a higher unemployment rate at 3.8% compared to 3.5% in Winslow.
Demographics
Demographics Winslow vs Warner robins provide insight into the diversity of the communities to compare.
Demographic | Winslow | Warner robins |
---|---|---|
Black | Data is updating | 40 |
White | 87 | 42 |
Asian | 6 | 3 |
Hispanic | 1 | 7 |
Two or More Races | 4 | 7 |
American Indian | 2 | 1 |
Demographics Comparison: Winslow vs Warner robins
- In Warner robins, the percentage of Black residents is higher at 40% compared to 0% in Winslow.
- Winslow has a higher percentage of White residents at 87% compared to 42% in Warner robins.
- The Asian population is larger in Winslow at 6% compared to 3% in Warner robins.
- Warner robins has a higher percentage of Hispanic residents at 7%, compared to 1% in Winslow.
- The percentage of residents identifying as two or more races is higher in Warner robins at 7%, compared to 4% in Winslow.
- A greater percentage of American Indian residents live in Winslow at 2% compared to 1% in Warner robins.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Winslow | Warner robins |
---|---|---|
Mental Health Not Good | 18.6% | 17.6% |
Physical Health Not Good | 12.5% | 13.1% |
Depression | 26.2% | 22.1% |
Smoking | 19.8% | 18.6% |
Binge Drinking | 16.5% | 15.9% |
Obesity | 32.3% | 39.9% |
Disability Percentage | 22.0% | 12.0% |
Health Statistics Comparison: Winslow vs Warner robins
- More residents in Winslow report poor mental health at 18.6% compared to 17.6% in Warner robins.
- Depression is more prevalent in Winslow at 26.2% compared to 22.1% in Warner robins.
- Smoking is more prevalent in Winslow at 19.8% compared to 18.6% in Warner robins.
- Binge drinking is more common in Winslow at 16.5% compared to 15.9% in Warner robins.
- Warner robins has higher obesity rates at 39.9% compared to 32.3% in Winslow.
- Disability percentages are higher in Winslow at 22.0% compared to 12.0% in Warner robins.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Winslow | Warner robins |
---|---|---|
No Schooling | 0.3% (1) | 0.4% (335) |
High School Diploma | 23.2% (84) | 14.9% (12,260) |
Less than High School | 18.2% (66) | 7.0% (5,714) |
Bachelor's Degree and Higher | 9.9% (36) | 19.2% (15,752) |
Education Levels Comparison: Winslow vs Warner robins
- In Warner robins, a larger percentage of residents lack formal schooling at 0.4% compared to 0.3% in Winslow.
- A higher percentage of residents in Winslow hold a high school diploma at 23.2% compared to 14.9% in Warner robins.
- More residents in Winslow have less than a high school education at 18.2% compared to 7.0% in Warner robins.
- In Warner robins, a larger share of residents have a bachelor's degree or higher at 19.2% compared to 9.9% in Winslow.
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.