Demographics details for Kingston, RI vs Snellville, GA
Population Overview
Compare main population characteristics in Kingston, RI vs Snellville, GA.
Data | Kingston | Snellville |
---|---|---|
Population | 6,560 | 22,024 |
Median Age | 19.6 years | 42.1 years |
Median Income | $108,056 | $88,586 |
Married Families | 13.0% | 42.0% |
Poverty Level | 11% | 10% |
Unemployment Rate | 2.6 | 3.5 |
Population Comparison: Kingston vs Snellville
- The population in Snellville is higher at 22,024, compared to 6,560 in Kingston.
- The median age in Snellville is higher at 42.1 years, compared to 19.6 years in Kingston.
- Kingston has a higher median income of $108,056 compared to $88,586 in Snellville.
- In Snellville, the percentage of married families is higher at 42.0%, compared to 13.0% in Kingston.
- Kingston has a higher poverty level at 11% compared to 10% in Snellville.
- Snellville has a higher unemployment rate at 3.5% compared to 2.6% in Kingston.
Demographics
Demographics Kingston vs Snellville provide insight into the diversity of the communities to compare.
Demographic | Kingston | Snellville |
---|---|---|
Black | 5 | 38 |
White | 80 | 34 |
Asian | 2 | 9 |
Hispanic | 6 | 13 |
Two or More Races | 6 | 6 |
American Indian | 1 | Data is updating |
Demographics Comparison: Kingston vs Snellville
- In Snellville, the percentage of Black residents is higher at 38% compared to 5% in Kingston.
- Kingston has a higher percentage of White residents at 80% compared to 34% in Snellville.
- In Snellville, the Asian population stands at 9%, greater than 2% in Kingston.
- Snellville has a higher percentage of Hispanic residents at 13%, compared to 6% in Kingston.
- Both Kingston and Snellville have the same percentage of residents identifying as two or more races at 6%.
- A greater percentage of American Indian residents live in Kingston at 1% compared to 0% in Snellville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kingston | Snellville |
---|---|---|
Mental Health Not Good | 14.9% | 14.6% |
Physical Health Not Good | 8.7% | 9.7% |
Depression | 24.9% | 18.2% |
Smoking | 11.4% | 13.1% |
Binge Drinking | 19.1% | 15.1% |
Obesity | 25.9% | 31.9% |
Disability Percentage | 6.0% | 11.0% |
Health Statistics Comparison: Kingston vs Snellville
- More residents in Kingston report poor mental health at 14.9% compared to 14.6% in Snellville.
- Depression is more prevalent in Kingston at 24.9% compared to 18.2% in Snellville.
- Snellville has a higher smoking rate at 13.1% compared to 11.4% in Kingston.
- Binge drinking is more common in Kingston at 19.1% compared to 15.1% in Snellville.
- Snellville has higher obesity rates at 31.9% compared to 25.9% in Kingston.
- There is a higher percentage of disabled individuals in Snellville at 11.0% 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 | Snellville |
---|---|---|
No Schooling | 0.0% (3) | 0.4% (94) |
High School Diploma | 1.1% (71) | 13.5% (2,970) |
Less than High School | 0.1% (6) | 10.1% (2,226) |
Bachelor's Degree and Higher | 12.8% (839) | 24.8% (5,469) |
Education Levels Comparison: Kingston vs Snellville
- In Snellville, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Kingston.
- In Snellville, the rate of residents with high school diplomas is higher at 13.5% compared to 1.1% in Kingston.
- The percentage of residents with less than a high school education is higher in Snellville at 10.1%, compared to 0.1% in Kingston.
- In Snellville, a larger share of residents have a bachelor's degree or higher at 24.8% 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.