Demographics details for Kingston, RI vs Warner robins, GA
Population Overview
Compare main population characteristics in Kingston, RI vs Warner robins, GA.
| Data | Kingston | Warner robins |
|---|---|---|
| Population | 6,560 | 82,175 |
| Median Age | 19.6 years | 32.4 years |
| Median Income | $108,056 | $63,678 |
| Married Families | 13.0% | 32.0% |
| Poverty Level | 11% | 8% |
| Unemployment Rate | 2.6 | 3.8 |
Population Comparison: Kingston vs Warner robins
- The population in Warner robins is higher at 82,175, compared to 6,560 in Kingston.
- The median age in Warner robins is higher at 32.4 years, compared to 19.6 years in Kingston.
- Kingston has a higher median income of $108,056 compared to $63,678 in Warner robins.
- In Warner robins, the percentage of married families is higher at 32.0%, compared to 13.0% in Kingston.
- Kingston has a higher poverty level at 11% compared to 8% in Warner robins.
- Warner robins has a higher unemployment rate at 3.8% compared to 2.6% in Kingston.
Demographics
Demographics Kingston vs Warner robins provide insight into the diversity of the communities to compare.
| Demographic | Kingston | Warner robins |
|---|---|---|
| Black | 5 | 40 |
| White | 80 | 42 |
| Asian | 2 | 3 |
| Hispanic | 6 | 7 |
| Two or More Races | 6 | 7 |
| American Indian | 1 | 1 |
Demographics Comparison: Kingston vs Warner robins
- In Warner robins, the percentage of Black residents is higher at 40% compared to 5% in Kingston.
- Kingston has a higher percentage of White residents at 80% compared to 42% in Warner robins.
- In Warner robins, the Asian population stands at 3%, greater than 2% in Kingston.
- Warner robins has a higher percentage of Hispanic residents at 7%, compared to 6% in Kingston.
- The percentage of residents identifying as two or more races is higher in Warner robins at 7%, compared to 6% in Kingston.
- The percentage of American Indian residents is the same in both Kingston and Warner robins at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingston | Warner robins |
|---|---|---|
| Mental Health Not Good | 14.9% | 17.6% |
| Physical Health Not Good | 8.7% | 13.1% |
| Depression | 24.9% | 22.1% |
| Smoking | 11.4% | 18.6% |
| Binge Drinking | 19.1% | 15.9% |
| Obesity | 25.9% | 39.9% |
| Disability Percentage | 6.0% | 12.0% |
Health Statistics Comparison: Kingston vs Warner robins
- In Warner robins, a higher percentage report poor mental health at 17.6% compared to 14.9% in Kingston.
- Depression is more prevalent in Kingston at 24.9% compared to 22.1% in Warner robins.
- Warner robins has a higher smoking rate at 18.6% compared to 11.4% in Kingston.
- Binge drinking is more common in Kingston at 19.1% compared to 15.9% in Warner robins.
- Warner robins has higher obesity rates at 39.9% compared to 25.9% in Kingston.
- There is a higher percentage of disabled individuals in Warner robins at 12.0% compared to 6.0% in Kingston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingston | Warner robins |
|---|---|---|
| No Schooling | 0.0% (3) | 0.4% (335) |
| High School Diploma | 1.1% (71) | 14.9% (12,260) |
| Less than High School | 0.1% (6) | 7.0% (5,714) |
| Bachelor's Degree and Higher | 12.8% (839) | 19.2% (15,752) |
Education Levels Comparison: Kingston vs Warner robins
- In Warner robins, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Kingston.
- In Warner robins, the rate of residents with high school diplomas is higher at 14.9% compared to 1.1% in Kingston.
- The percentage of residents with less than a high school education is higher in Warner robins at 7.0%, compared to 0.1% in Kingston.
- In Warner robins, a larger share of residents have a bachelor's degree or higher at 19.2% compared to 12.8% in Kingston.
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.