Demographics details for Ballard, WV vs Kingston, RI
Population Overview
Compare main population characteristics in Ballard, WV vs Kingston, RI.
Data | Ballard | Kingston |
---|---|---|
Population | 187 | 6,560 |
Median Age | 40.0 years | 19.6 years |
Median Income | $60,000 | $108,056 |
Married Families | 50.0% | 13.0% |
Poverty Level | 12% | 11% |
Unemployment Rate | 5.0 | 2.6 |
Population Comparison: Ballard vs Kingston
- The population in Kingston is higher at 6,560, compared to 187 in Ballard.
- Residents in Ballard have a higher median age of 40.0 years compared to 19.6 years in Kingston.
- Kingston has a higher median income of $108,056, compared to $60,000 in Ballard.
- A higher percentage of married families is found in Ballard at 50.0% compared to 13.0% in Kingston.
- Ballard has a higher poverty level at 12% compared to 11% in Kingston.
- The unemployment rate in Ballard is higher at 5.0%, compared to 2.6% in Kingston.
Demographics
Demographics Ballard vs Kingston provide insight into the diversity of the communities to compare.
Demographic | Ballard | Kingston |
---|---|---|
Black | Data is updating | 5 |
White | 100 | 80 |
Asian | Data is updating | 2 |
Hispanic | Data is updating | 6 |
Two or More Races | Data is updating | 6 |
American Indian | Data is updating | 1 |
Demographics Comparison: Ballard vs Kingston
- In Kingston, the percentage of Black residents is higher at 5% compared to 0% in Ballard.
- Ballard has a higher percentage of White residents at 100% compared to 80% in Kingston.
- In Kingston, the Asian population stands at 2%, greater than 0% in Ballard.
- Kingston has a higher percentage of Hispanic residents at 6%, compared to 0% in Ballard.
- The percentage of residents identifying as two or more races is higher in Kingston at 6%, compared to 0% in Ballard.
- In Kingston, the percentage of American Indian residents is higher at 1%, compared to 0% in Ballard.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ballard | Kingston |
---|---|---|
Mental Health Not Good | Data is updating% | 14.9% |
Physical Health Not Good | Data is updating% | 8.7% |
Depression | Data is updating% | 24.9% |
Smoking | Data is updating% | 11.4% |
Binge Drinking | Data is updating% | 19.1% |
Obesity | Data is updating% | 25.9% |
Disability Percentage | Data is updating% | 6.0% |
Health Statistics Comparison: Ballard vs Kingston
- In Kingston, a higher percentage report poor mental health at 14.9% compared to 0.0% in Ballard.
- Higher depression rates are seen in Kingston at 24.9% versus 0.0% in Ballard.
- Kingston has a higher smoking rate at 11.4% compared to 0.0% in Ballard.
- More residents engage in binge drinking in Kingston at 19.1% compared to 0.0% in Ballard.
- Kingston has higher obesity rates at 25.9% compared to 0.0% in Ballard.
- There is a higher percentage of disabled individuals in Kingston at 6.0% compared to 0.0% in Ballard.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ballard | Kingston |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (3) |
High School Diploma | 0.0% (Data is updating) | 1.1% (71) |
Less than High School | 0.0% (Data is updating) | 0.1% (6) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 12.8% (839) |
Education Levels Comparison: Ballard vs Kingston
- The percentage of residents with no formal schooling is the same in both Ballard and Kingston at 0.0%.
- In Kingston, the rate of residents with high school diplomas is higher at 1.1% compared to 0.0% in Ballard.
- The percentage of residents with less than a high school education is higher in Kingston at 0.1%, compared to 0.0% in Ballard.
- In Kingston, a larger share of residents have a bachelor's degree or higher at 12.8% compared to 0.0% in Ballard.
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.