Demographics details for Kingston, RI vs Blue mounds, WI
Population Overview
Compare main population characteristics in Kingston, RI vs Blue mounds, WI.
| Data | Kingston | Blue mounds |
|---|---|---|
| Population | 6,560 | 924 |
| Median Age | 19.6 years | 37.0 years |
| Median Income | $108,056 | $71,094 |
| Married Families | 13.0% | 34.0% |
| Poverty Level | 11% | 8% |
| Unemployment Rate | 2.6 | 2.4 |
Population Comparison: Kingston vs Blue mounds
- In Kingston, the population is higher at 6,560, compared to 924 in Blue mounds.
- The median age in Blue mounds is higher at 37.0 years, compared to 19.6 years in Kingston.
- Kingston has a higher median income of $108,056 compared to $71,094 in Blue mounds.
- In Blue mounds, the percentage of married families is higher at 34.0%, compared to 13.0% in Kingston.
- Kingston has a higher poverty level at 11% compared to 8% in Blue mounds.
- The unemployment rate in Kingston is higher at 2.6%, compared to 2.4% in Blue mounds.
Demographics
Demographics Kingston vs Blue mounds provide insight into the diversity of the communities to compare.
| Demographic | Kingston | Blue mounds |
|---|---|---|
| Black | 5 | 1 |
| White | 80 | 96 |
| Asian | 2 | Data is updating |
| Hispanic | 6 | 1 |
| Two or More Races | 6 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Kingston vs Blue mounds
- A higher percentage of Black residents are in Kingston at 5% compared to 1% in Blue mounds.
- The percentage of White residents is higher in Blue mounds at 96% compared to 80% in Kingston.
- The Asian population is larger in Kingston at 2% compared to 0% in Blue mounds.
- The Hispanic community is larger in Kingston at 6% compared to 1% in Blue mounds.
- More residents identify as two or more races in Kingston at 6% compared to 2% in Blue mounds.
- A greater percentage of American Indian residents live in Kingston at 1% compared to 0% in Blue mounds.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingston | Blue mounds |
|---|---|---|
| Mental Health Not Good | 14.9% | 13.4% |
| Physical Health Not Good | 8.7% | 7.8% |
| Depression | 24.9% | 24.2% |
| Smoking | 11.4% | 11.9% |
| Binge Drinking | 19.1% | 25.4% |
| Obesity | 25.9% | 27.3% |
| Disability Percentage | 6.0% | 11.0% |
Health Statistics Comparison: Kingston vs Blue mounds
- More residents in Kingston report poor mental health at 14.9% compared to 13.4% in Blue mounds.
- Depression is more prevalent in Kingston at 24.9% compared to 24.2% in Blue mounds.
- Blue mounds has a higher smoking rate at 11.9% compared to 11.4% in Kingston.
- More residents engage in binge drinking in Blue mounds at 25.4% compared to 19.1% in Kingston.
- Blue mounds has higher obesity rates at 27.3% compared to 25.9% in Kingston.
- There is a higher percentage of disabled individuals in Blue mounds 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 | Blue mounds |
|---|---|---|
| No Schooling | 0.0% (3) | 0.0% (Data is updating) |
| High School Diploma | 1.1% (71) | 15.3% (141) |
| Less than High School | 0.1% (6) | 9.0% (83) |
| Bachelor's Degree and Higher | 12.8% (839) | 19.7% (182) |
Education Levels Comparison: Kingston vs Blue mounds
- The percentage of residents with no formal schooling is the same in both Kingston and Blue mounds at 0.0%.
- In Blue mounds, the rate of residents with high school diplomas is higher at 15.3% compared to 1.1% in Kingston.
- The percentage of residents with less than a high school education is higher in Blue mounds at 9.0%, compared to 0.1% in Kingston.
- In Blue mounds, a larger share of residents have a bachelor's degree or higher at 19.7% 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.