Demographics details for Hoffman estates, IL vs Kingston, RI
Population Overview
Compare main population characteristics in Hoffman estates, IL vs Kingston, RI.
| Data | Hoffman estates | Kingston |
|---|---|---|
| Population | 50,682 | 6,560 |
| Median Age | 38.1 years | 19.6 years |
| Median Income | $107,428 | $108,056 |
| Married Families | 48.0% | 13.0% |
| Poverty Level | 4% | 11% |
| Unemployment Rate | 5.2 | 2.6 |
Population Comparison: Hoffman estates vs Kingston
- In Hoffman estates, the population is higher at 50,682, compared to 6,560 in Kingston.
- Residents in Hoffman estates have a higher median age of 38.1 years compared to 19.6 years in Kingston.
- Kingston has a higher median income of $108,056, compared to $107,428 in Hoffman estates.
- A higher percentage of married families is found in Hoffman estates at 48.0% compared to 13.0% in Kingston.
- The poverty level is higher in Kingston at 11%, compared to 4% in Hoffman estates.
- The unemployment rate in Hoffman estates is higher at 5.2%, compared to 2.6% in Kingston.
Demographics
Demographics Hoffman estates vs Kingston provide insight into the diversity of the communities to compare.
| Demographic | Hoffman estates | Kingston |
|---|---|---|
| Black | 6 | 5 |
| White | 43 | 80 |
| Asian | 25 | 2 |
| Hispanic | 18 | 6 |
| Two or More Races | 8 | 6 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Hoffman estates vs Kingston
- A higher percentage of Black residents are in Hoffman estates at 6% compared to 5% in Kingston.
- The percentage of White residents is higher in Kingston at 80% compared to 43% in Hoffman estates.
- The Asian population is larger in Hoffman estates at 25% compared to 2% in Kingston.
- The Hispanic community is larger in Hoffman estates at 18% compared to 6% in Kingston.
- More residents identify as two or more races in Hoffman estates at 8% compared to 6% in Kingston.
- In Kingston, the percentage of American Indian residents is higher at 1%, compared to 0% in Hoffman estates.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hoffman estates | Kingston |
|---|---|---|
| Mental Health Not Good | 12.0% | 14.9% |
| Physical Health Not Good | 8.1% | 8.7% |
| Depression | 15.6% | 24.9% |
| Smoking | 10.6% | 11.4% |
| Binge Drinking | 17.9% | 19.1% |
| Obesity | 24.9% | 25.9% |
| Disability Percentage | 8.0% | 6.0% |
Health Statistics Comparison: Hoffman estates vs Kingston
- In Kingston, a higher percentage report poor mental health at 14.9% compared to 12.0% in Hoffman estates.
- Higher depression rates are seen in Kingston at 24.9% versus 15.6% in Hoffman estates.
- Kingston has a higher smoking rate at 11.4% compared to 10.6% in Hoffman estates.
- More residents engage in binge drinking in Kingston at 19.1% compared to 17.9% in Hoffman estates.
- Kingston has higher obesity rates at 25.9% compared to 24.9% in Hoffman estates.
- Disability percentages are higher in Hoffman estates at 8.0% 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 | Hoffman estates | Kingston |
|---|---|---|
| No Schooling | 1.0% (512) | 0.0% (3) |
| High School Diploma | 10.9% (5,509) | 1.1% (71) |
| Less than High School | 10.3% (5,235) | 0.1% (6) |
| Bachelor's Degree and Higher | 34.4% (17,439) | 12.8% (839) |
Education Levels Comparison: Hoffman estates vs Kingston
- A higher percentage of residents in Hoffman estates have no formal schooling at 1.0% compared to 0.0% in Kingston.
- A higher percentage of residents in Hoffman estates hold a high school diploma at 10.9% compared to 1.1% in Kingston.
- More residents in Hoffman estates have less than a high school education at 10.3% compared to 0.1% in Kingston.
- A higher percentage of residents in Hoffman estates hold a bachelor's degree or higher at 34.4% 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.