Demographics details for Warner robins, GA vs Forest, MS
Population Overview
Compare main population characteristics in Warner robins, GA vs Forest, MS.
| Data | Warner robins | Forest |
|---|---|---|
| Population | 82,175 | 5,330 |
| Median Age | 32.4 years | 36.4 years |
| Median Income | $63,678 | $50,093 |
| Married Families | 32.0% | 35.0% |
| Poverty Level | 8% | 18% |
| Unemployment Rate | 3.8 | 4.5 |
Population Comparison: Warner robins vs Forest
- In Warner robins, the population is higher at 82,175, compared to 5,330 in Forest.
- The median age in Forest is higher at 36.4 years, compared to 32.4 years in Warner robins.
- Warner robins has a higher median income of $63,678 compared to $50,093 in Forest.
- In Forest, the percentage of married families is higher at 35.0%, compared to 32.0% in Warner robins.
- The poverty level is higher in Forest at 18%, compared to 8% in Warner robins.
- Forest has a higher unemployment rate at 4.5% compared to 3.8% in Warner robins.
Demographics
Demographics Warner robins vs Forest provide insight into the diversity of the communities to compare.
| Demographic | Warner robins | Forest |
|---|---|---|
| Black | 40 | 43 |
| White | 42 | 24 |
| Asian | 3 | Data is updating |
| Hispanic | 7 | 30 |
| Two or More Races | 7 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Warner robins vs Forest
- In Forest, the percentage of Black residents is higher at 43% compared to 40% in Warner robins.
- Warner robins has a higher percentage of White residents at 42% compared to 24% in Forest.
- The Asian population is larger in Warner robins at 3% compared to 0% in Forest.
- Forest has a higher percentage of Hispanic residents at 30%, compared to 7% in Warner robins.
- More residents identify as two or more races in Warner robins at 7% compared to 3% in Forest.
- A greater percentage of American Indian residents live in Warner robins at 1% compared to 0% in Forest.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Warner robins | Forest |
|---|---|---|
| Mental Health Not Good | 17.6% | 18.9% |
| Physical Health Not Good | 13.1% | 16.8% |
| Depression | 22.1% | 21.2% |
| Smoking | 18.6% | 26.1% |
| Binge Drinking | 15.9% | 11.8% |
| Obesity | 39.9% | 45.7% |
| Disability Percentage | 12.0% | 20.0% |
Health Statistics Comparison: Warner robins vs Forest
- In Forest, a higher percentage report poor mental health at 18.9% compared to 17.6% in Warner robins.
- Depression is more prevalent in Warner robins at 22.1% compared to 21.2% in Forest.
- Forest has a higher smoking rate at 26.1% compared to 18.6% in Warner robins.
- Binge drinking is more common in Warner robins at 15.9% compared to 11.8% in Forest.
- Forest has higher obesity rates at 45.7% compared to 39.9% in Warner robins.
- There is a higher percentage of disabled individuals in Forest at 20.0% 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 | Warner robins | Forest |
|---|---|---|
| No Schooling | 0.4% (335) | 4.4% (232) |
| High School Diploma | 14.9% (12,260) | 10.5% (557) |
| Less than High School | 7.0% (5,714) | 33.4% (1,779) |
| Bachelor's Degree and Higher | 19.2% (15,752) | 8.5% (455) |
Education Levels Comparison: Warner robins vs Forest
- In Forest, a larger percentage of residents lack formal schooling at 4.4% compared to 0.4% in Warner robins.
- A higher percentage of residents in Warner robins hold a high school diploma at 14.9% compared to 10.5% in Forest.
- The percentage of residents with less than a high school education is higher in Forest at 33.4%, compared to 7.0% in Warner robins.
- A higher percentage of residents in Warner robins hold a bachelor's degree or higher at 19.2% compared to 8.5% in Forest.
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.