Demographics details for White plains, NY vs Shabbona, IL
Population Overview
Compare main population characteristics in White plains, NY vs Shabbona, IL.
Data | White plains | Shabbona |
---|---|---|
Population | 59,316 | 850 |
Median Age | 41.4 years | 53.7 years |
Median Income | $109,551 | $60,625 |
Married Families | 40.0% | 34.0% |
Poverty Level | 6% | 8% |
Unemployment Rate | 3.2 | 5.1 |
Population Comparison: White plains vs Shabbona
- In White plains, the population is higher at 59,316, compared to 850 in Shabbona.
- The median age in Shabbona is higher at 53.7 years, compared to 41.4 years in White plains.
- White plains has a higher median income of $109,551 compared to $60,625 in Shabbona.
- A higher percentage of married families is found in White plains at 40.0% compared to 34.0% in Shabbona.
- The poverty level is higher in Shabbona at 8%, compared to 6% in White plains.
- Shabbona has a higher unemployment rate at 5.1% compared to 3.2% in White plains.
Demographics
Demographics White plains vs Shabbona provide insight into the diversity of the communities to compare.
Demographic | White plains | Shabbona |
---|---|---|
Black | 13 | 1 |
White | 39 | 94 |
Asian | 8 | Data is updating |
Hispanic | 31 | 3 |
Two or More Races | 9 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: White plains vs Shabbona
- A higher percentage of Black residents are in White plains at 13% compared to 1% in Shabbona.
- The percentage of White residents is higher in Shabbona at 94% compared to 39% in White plains.
- The Asian population is larger in White plains at 8% compared to 0% in Shabbona.
- The Hispanic community is larger in White plains at 31% compared to 3% in Shabbona.
- More residents identify as two or more races in White plains at 9% compared to 2% in Shabbona.
- The percentage of American Indian residents is the same in both White plains and Shabbona at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | White plains | Shabbona |
---|---|---|
Mental Health Not Good | 13.1% | 16.2% |
Physical Health Not Good | 9.1% | 10.5% |
Depression | 17.7% | 22.1% |
Smoking | 11.7% | 16.5% |
Binge Drinking | 15.9% | 18.8% |
Obesity | 28.4% | 36.3% |
Disability Percentage | 10.0% | 24.0% |
Health Statistics Comparison: White plains vs Shabbona
- In Shabbona, a higher percentage report poor mental health at 16.2% compared to 13.1% in White plains.
- Higher depression rates are seen in Shabbona at 22.1% versus 17.7% in White plains.
- Shabbona has a higher smoking rate at 16.5% compared to 11.7% in White plains.
- More residents engage in binge drinking in Shabbona at 18.8% compared to 15.9% in White plains.
- Shabbona has higher obesity rates at 36.3% compared to 28.4% in White plains.
- There is a higher percentage of disabled individuals in Shabbona at 24.0% compared to 10.0% in White plains.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | White plains | Shabbona |
---|---|---|
No Schooling | 1.0% (566) | 0.0% (Data is updating) |
High School Diploma | 11.6% (6,853) | 22.1% (188) |
Less than High School | 14.7% (8,744) | 7.6% (65) |
Bachelor's Degree and Higher | 39.0% (23,145) | 12.2% (104) |
Education Levels Comparison: White plains vs Shabbona
- A higher percentage of residents in White plains have no formal schooling at 1.0% compared to 0.0% in Shabbona.
- In Shabbona, the rate of residents with high school diplomas is higher at 22.1% compared to 11.6% in White plains.
- More residents in White plains have less than a high school education at 14.7% compared to 7.6% in Shabbona.
- A higher percentage of residents in White plains hold a bachelor's degree or higher at 39.0% compared to 12.2% in Shabbona.
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.