Demographics details for Norristown, PA vs Shabbona, IL
Population Overview
Compare main population characteristics in Norristown, PA vs Shabbona, IL.
| Data | Norristown | Shabbona |
|---|---|---|
| Population | 35,795 | 850 |
| Median Age | 32.4 years | 53.7 years |
| Median Income | $59,068 | $60,625 |
| Married Families | 26.0% | 34.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 3.3 | 5.1 |
Population Comparison: Norristown vs Shabbona
- In Norristown, the population is higher at 35,795, compared to 850 in Shabbona.
- The median age in Shabbona is higher at 53.7 years, compared to 32.4 years in Norristown.
- Shabbona has a higher median income of $60,625, compared to $59,068 in Norristown.
- In Shabbona, the percentage of married families is higher at 34.0%, compared to 26.0% in Norristown.
- Norristown has a higher poverty level at 10% compared to 8% in Shabbona.
- Shabbona has a higher unemployment rate at 5.1% compared to 3.3% in Norristown.
Demographics
Demographics Norristown vs Shabbona provide insight into the diversity of the communities to compare.
| Demographic | Norristown | Shabbona |
|---|---|---|
| Black | 33 | 1 |
| White | 19 | 94 |
| Asian | 3 | Data is updating |
| Hispanic | 27 | 3 |
| Two or More Races | 16 | 2 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Norristown vs Shabbona
- A higher percentage of Black residents are in Norristown at 33% compared to 1% in Shabbona.
- The percentage of White residents is higher in Shabbona at 94% compared to 19% in Norristown.
- The Asian population is larger in Norristown at 3% compared to 0% in Shabbona.
- The Hispanic community is larger in Norristown at 27% compared to 3% in Shabbona.
- More residents identify as two or more races in Norristown at 16% compared to 2% in Shabbona.
- A greater percentage of American Indian residents live in Norristown at 2% compared to 0% in Shabbona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Norristown | Shabbona |
|---|---|---|
| Mental Health Not Good | 18.1% | 16.2% |
| Physical Health Not Good | 14.3% | 10.5% |
| Depression | 20.3% | 22.1% |
| Smoking | 21.4% | 16.5% |
| Binge Drinking | 14.9% | 18.8% |
| Obesity | 40.8% | 36.3% |
| Disability Percentage | 14.0% | 24.0% |
Health Statistics Comparison: Norristown vs Shabbona
- More residents in Norristown report poor mental health at 18.1% compared to 16.2% in Shabbona.
- Higher depression rates are seen in Shabbona at 22.1% versus 20.3% in Norristown.
- Smoking is more prevalent in Norristown at 21.4% compared to 16.5% in Shabbona.
- More residents engage in binge drinking in Shabbona at 18.8% compared to 14.9% in Norristown.
- Obesity rates are higher in Norristown at 40.8% compared to 36.3% in Shabbona.
- There is a higher percentage of disabled individuals in Shabbona at 24.0% compared to 14.0% in Norristown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Norristown | Shabbona |
|---|---|---|
| No Schooling | 1.3% (479) | 0.0% (Data is updating) |
| High School Diploma | 20.1% (7,193) | 22.1% (188) |
| Less than High School | 15.9% (5,695) | 7.6% (65) |
| Bachelor's Degree and Higher | 14.4% (5,148) | 12.2% (104) |
Education Levels Comparison: Norristown vs Shabbona
- A higher percentage of residents in Norristown have no formal schooling at 1.3% compared to 0.0% in Shabbona.
- In Shabbona, the rate of residents with high school diplomas is higher at 22.1% compared to 20.1% in Norristown.
- More residents in Norristown have less than a high school education at 15.9% compared to 7.6% in Shabbona.
- A higher percentage of residents in Norristown hold a bachelor's degree or higher at 14.4% 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.