Demographics details for Riverhead, NY vs Shabbona, IL
Population Overview
Compare main population characteristics in Riverhead, NY vs Shabbona, IL.
Data | Riverhead | Shabbona |
---|---|---|
Population | 33,539 | 850 |
Median Age | 42.0 years | 53.7 years |
Median Income | $80,000 | $60,625 |
Married Families | 60.0% | 34.0% |
Poverty Level | 7% | 8% |
Unemployment Rate | 3.3 | 5.1 |
Population Comparison: Riverhead vs Shabbona
- In Riverhead, the population is higher at 33,539, compared to 850 in Shabbona.
- The median age in Shabbona is higher at 53.7 years, compared to 42.0 years in Riverhead.
- Riverhead has a higher median income of $80,000 compared to $60,625 in Shabbona.
- A higher percentage of married families is found in Riverhead at 60.0% compared to 34.0% in Shabbona.
- The poverty level is higher in Shabbona at 8%, compared to 7% in Riverhead.
- Shabbona has a higher unemployment rate at 5.1% compared to 3.3% in Riverhead.
Demographics
Demographics Riverhead vs Shabbona provide insight into the diversity of the communities to compare.
Demographic | Riverhead | Shabbona |
---|---|---|
Black | 10 | 1 |
White | 70 | 94 |
Asian | 5 | Data is updating |
Hispanic | 15 | 3 |
Two or More Races | Data is updating | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Riverhead vs Shabbona
- A higher percentage of Black residents are in Riverhead at 10% compared to 1% in Shabbona.
- The percentage of White residents is higher in Shabbona at 94% compared to 70% in Riverhead.
- The Asian population is larger in Riverhead at 5% compared to 0% in Shabbona.
- The Hispanic community is larger in Riverhead at 15% compared to 3% in Shabbona.
- The percentage of residents identifying as two or more races is higher in Shabbona at 2%, compared to 0% in Riverhead.
- The percentage of American Indian residents is the same in both Riverhead and Shabbona at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Riverhead | Shabbona |
---|---|---|
Mental Health Not Good | Data is updating% | 16.2% |
Physical Health Not Good | Data is updating% | 10.5% |
Depression | Data is updating% | 22.1% |
Smoking | Data is updating% | 16.5% |
Binge Drinking | Data is updating% | 18.8% |
Obesity | Data is updating% | 36.3% |
Disability Percentage | Data is updating% | 24.0% |
Health Statistics Comparison: Riverhead vs Shabbona
- In Shabbona, a higher percentage report poor mental health at 16.2% compared to 0.0% in Riverhead.
- Higher depression rates are seen in Shabbona at 22.1% versus 0.0% in Riverhead.
- Shabbona has a higher smoking rate at 16.5% compared to 0.0% in Riverhead.
- More residents engage in binge drinking in Shabbona at 18.8% compared to 0.0% in Riverhead.
- Shabbona has higher obesity rates at 36.3% compared to 0.0% in Riverhead.
- There is a higher percentage of disabled individuals in Shabbona at 24.0% compared to 0.0% in Riverhead.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Riverhead | Shabbona |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 0.0% (Data is updating) | 22.1% (188) |
Less than High School | 0.0% (Data is updating) | 7.6% (65) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 12.2% (104) |
Education Levels Comparison: Riverhead vs Shabbona
- The percentage of residents with no formal schooling is the same in both Riverhead and Shabbona at 0.0%.
- In Shabbona, the rate of residents with high school diplomas is higher at 22.1% compared to 0.0% in Riverhead.
- The percentage of residents with less than a high school education is higher in Shabbona at 7.6%, compared to 0.0% in Riverhead.
- In Shabbona, a larger share of residents have a bachelor's degree or higher at 12.2% compared to 0.0% in Riverhead.
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.