Demographics details for Kingston, RI vs Rising star, TX
Population Overview
Compare main population characteristics in Kingston, RI vs Rising star, TX.
Data | Kingston | Rising star |
---|---|---|
Population | 6,560 | 765 |
Median Age | 19.6 years | 44.1 years |
Median Income | $108,056 | $32,697 |
Married Families | 13.0% | 22.0% |
Poverty Level | 11% | 10% |
Unemployment Rate | 2.6 | 3.2 |
Population Comparison: Kingston vs Rising star
- In Kingston, the population is higher at 6,560, compared to 765 in Rising star.
- The median age in Rising star is higher at 44.1 years, compared to 19.6 years in Kingston.
- Kingston has a higher median income of $108,056 compared to $32,697 in Rising star.
- In Rising star, the percentage of married families is higher at 22.0%, compared to 13.0% in Kingston.
- Kingston has a higher poverty level at 11% compared to 10% in Rising star.
- Rising star has a higher unemployment rate at 3.2% compared to 2.6% in Kingston.
Demographics
Demographics Kingston vs Rising star provide insight into the diversity of the communities to compare.
Demographic | Kingston | Rising star |
---|---|---|
Black | 5 | Data is updating |
White | 80 | 76 |
Asian | 2 | Data is updating |
Hispanic | 6 | 18 |
Two or More Races | 6 | 6 |
American Indian | 1 | Data is updating |
Demographics Comparison: Kingston vs Rising star
- A higher percentage of Black residents are in Kingston at 5% compared to 0% in Rising star.
- Kingston has a higher percentage of White residents at 80% compared to 76% in Rising star.
- The Asian population is larger in Kingston at 2% compared to 0% in Rising star.
- Rising star has a higher percentage of Hispanic residents at 18%, compared to 6% in Kingston.
- Both Kingston and Rising star 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 Rising star.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kingston | Rising star |
---|---|---|
Mental Health Not Good | 14.9% | 19.3% |
Physical Health Not Good | 8.7% | 13.0% |
Depression | 24.9% | 26.6% |
Smoking | 11.4% | 20.2% |
Binge Drinking | 19.1% | 18.7% |
Obesity | 25.9% | 37.0% |
Disability Percentage | 6.0% | 21.0% |
Health Statistics Comparison: Kingston vs Rising star
- In Rising star, a higher percentage report poor mental health at 19.3% compared to 14.9% in Kingston.
- Higher depression rates are seen in Rising star at 26.6% versus 24.9% in Kingston.
- Rising star has a higher smoking rate at 20.2% compared to 11.4% in Kingston.
- Binge drinking is more common in Kingston at 19.1% compared to 18.7% in Rising star.
- Rising star has higher obesity rates at 37.0% compared to 25.9% in Kingston.
- There is a higher percentage of disabled individuals in Rising star at 21.0% 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 | Rising star |
---|---|---|
No Schooling | 0.0% (3) | 1.4% (11) |
High School Diploma | 1.1% (71) | 14.4% (110) |
Less than High School | 0.1% (6) | 25.1% (192) |
Bachelor's Degree and Higher | 12.8% (839) | 2.0% (15) |
Education Levels Comparison: Kingston vs Rising star
- In Rising star, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Kingston.
- In Rising star, the rate of residents with high school diplomas is higher at 14.4% compared to 1.1% in Kingston.
- The percentage of residents with less than a high school education is higher in Rising star at 25.1%, compared to 0.1% in Kingston.
- A higher percentage of residents in Kingston hold a bachelor's degree or higher at 12.8% compared to 2.0% in Rising star.
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.