Demographics details for Riverside, CA vs Montgomery, IL
Population Overview
Compare main population characteristics in Riverside, CA vs Montgomery, IL.
| Data | Riverside | Montgomery |
|---|---|---|
| Population | 320,764 | 21,799 |
| Median Age | 32.4 years | 31.7 years |
| Median Income | $83,448 | $105,240 |
| Married Families | 33.0% | 36.0% |
| Poverty Level | 12% | 5% |
| Unemployment Rate | 4.9 | 3.5 |
Population Comparison: Riverside vs Montgomery
- In Riverside, the population is higher at 320,764, compared to 21,799 in Montgomery.
- Residents in Riverside have a higher median age of 32.4 years compared to 31.7 years in Montgomery.
- Montgomery has a higher median income of $105,240, compared to $83,448 in Riverside.
- In Montgomery, the percentage of married families is higher at 36.0%, compared to 33.0% in Riverside.
- Riverside has a higher poverty level at 12% compared to 5% in Montgomery.
- The unemployment rate in Riverside is higher at 4.9%, compared to 3.5% in Montgomery.
Demographics
Demographics Riverside vs Montgomery provide insight into the diversity of the communities to compare.
| Demographic | Riverside | Montgomery |
|---|---|---|
| Black | 6 | 5 |
| White | 18 | 52 |
| Asian | 8 | 1 |
| Hispanic | 55 | 31 |
| Two or More Races | 12 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Riverside vs Montgomery
- A higher percentage of Black residents are in Riverside at 6% compared to 5% in Montgomery.
- The percentage of White residents is higher in Montgomery at 52% compared to 18% in Riverside.
- The Asian population is larger in Riverside at 8% compared to 1% in Montgomery.
- The Hispanic community is larger in Riverside at 55% compared to 31% in Montgomery.
- More residents identify as two or more races in Riverside at 12% compared to 11% in Montgomery.
- A greater percentage of American Indian residents live in Riverside at 1% compared to 0% in Montgomery.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Riverside | Montgomery |
|---|---|---|
| Mental Health Not Good | 16.0% | 14.6% |
| Physical Health Not Good | 11.7% | 10.3% |
| Depression | 17.1% | 18.8% |
| Smoking | 13.2% | 14.1% |
| Binge Drinking | 16.1% | 17.3% |
| Obesity | 36.2% | 34.4% |
| Disability Percentage | 10.0% | 4.0% |
Health Statistics Comparison: Riverside vs Montgomery
- More residents in Riverside report poor mental health at 16.0% compared to 14.6% in Montgomery.
- Higher depression rates are seen in Montgomery at 18.8% versus 17.1% in Riverside.
- Montgomery has a higher smoking rate at 14.1% compared to 13.2% in Riverside.
- More residents engage in binge drinking in Montgomery at 17.3% compared to 16.1% in Riverside.
- Obesity rates are higher in Riverside at 36.2% compared to 34.4% in Montgomery.
- Disability percentages are higher in Riverside at 10.0% compared to 4.0% in Montgomery.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Riverside | Montgomery |
|---|---|---|
| No Schooling | 2.0% (6,286) | 1.2% (255) |
| High School Diploma | 15.7% (50,271) | 15.6% (3,406) |
| Less than High School | 20.3% (64,976) | 8.2% (1,792) |
| Bachelor's Degree and Higher | 14.9% (47,929) | 15.5% (3,372) |
Education Levels Comparison: Riverside vs Montgomery
- A higher percentage of residents in Riverside have no formal schooling at 2.0% compared to 1.2% in Montgomery.
- A higher percentage of residents in Riverside hold a high school diploma at 15.7% compared to 15.6% in Montgomery.
- More residents in Riverside have less than a high school education at 20.3% compared to 8.2% in Montgomery.
- In Montgomery, a larger share of residents have a bachelor's degree or higher at 15.5% compared to 14.9% in Riverside.
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.