Demographics details for Nampa, ID vs Shabbona, IL
Population Overview
Compare main population characteristics in Nampa, ID vs Shabbona, IL.
| Data | Nampa | Shabbona |
|---|---|---|
| Population | 110,951 | 850 |
| Median Age | 33.5 years | 53.7 years |
| Median Income | $67,346 | $60,625 |
| Married Families | 37.0% | 34.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 4.2 | 5.1 |
Population Comparison: Nampa vs Shabbona
- In Nampa, the population is higher at 110,951, compared to 850 in Shabbona.
- The median age in Shabbona is higher at 53.7 years, compared to 33.5 years in Nampa.
- Nampa has a higher median income of $67,346 compared to $60,625 in Shabbona.
- A higher percentage of married families is found in Nampa at 37.0% compared to 34.0% in Shabbona.
- Nampa has a higher poverty level at 10% compared to 8% in Shabbona.
- Shabbona has a higher unemployment rate at 5.1% compared to 4.2% in Nampa.
Demographics
Demographics Nampa vs Shabbona provide insight into the diversity of the communities to compare.
| Demographic | Nampa | Shabbona |
|---|---|---|
| Black | 1 | 1 |
| White | 65 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 23 | 3 |
| Two or More Races | 9 | 2 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Nampa vs Shabbona
- The percentage of Black residents is the same in both Nampa and Shabbona at 1%.
- The percentage of White residents is higher in Shabbona at 94% compared to 65% in Nampa.
- The Asian population is larger in Nampa at 1% compared to 0% in Shabbona.
- The Hispanic community is larger in Nampa at 23% compared to 3% in Shabbona.
- More residents identify as two or more races in Nampa at 9% compared to 2% in Shabbona.
- A greater percentage of American Indian residents live in Nampa at 1% compared to 0% in Shabbona.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Nampa | Shabbona |
|---|---|---|
| Mental Health Not Good | 16.8% | 16.2% |
| Physical Health Not Good | 12.2% | 10.5% |
| Depression | 24.0% | 22.1% |
| Smoking | 17.6% | 16.5% |
| Binge Drinking | 15.2% | 18.8% |
| Obesity | 36.7% | 36.3% |
| Disability Percentage | 14.0% | 24.0% |
Health Statistics Comparison: Nampa vs Shabbona
- More residents in Nampa report poor mental health at 16.8% compared to 16.2% in Shabbona.
- Depression is more prevalent in Nampa at 24.0% compared to 22.1% in Shabbona.
- Smoking is more prevalent in Nampa at 17.6% compared to 16.5% in Shabbona.
- More residents engage in binge drinking in Shabbona at 18.8% compared to 15.2% in Nampa.
- Obesity rates are higher in Nampa at 36.7% compared to 36.3% in Shabbona.
- There is a higher percentage of disabled individuals in Shabbona at 24.0% compared to 14.0% in Nampa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Nampa | Shabbona |
|---|---|---|
| No Schooling | 0.9% (1,011) | 0.0% (Data is updating) |
| High School Diploma | 14.8% (16,423) | 22.1% (188) |
| Less than High School | 14.3% (15,852) | 7.6% (65) |
| Bachelor's Degree and Higher | 12.6% (13,951) | 12.2% (104) |
Education Levels Comparison: Nampa vs Shabbona
- A higher percentage of residents in Nampa have no formal schooling at 0.9% compared to 0.0% in Shabbona.
- In Shabbona, the rate of residents with high school diplomas is higher at 22.1% compared to 14.8% in Nampa.
- More residents in Nampa have less than a high school education at 14.3% compared to 7.6% in Shabbona.
- A higher percentage of residents in Nampa hold a bachelor's degree or higher at 12.6% 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.