Demographics details for Montgomery, IL vs Richmond, MO
Population Overview
Compare main population characteristics in Montgomery, IL vs Richmond, MO.
| Data | Montgomery | Richmond |
|---|---|---|
| Population | 21,799 | 5,959 |
| Median Age | 31.7 years | 39.9 years |
| Median Income | $105,240 | $61,694 |
| Married Families | 36.0% | 36.0% |
| Poverty Level | 5% | 10% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Montgomery vs Richmond
- In Montgomery, the population is higher at 21,799, compared to 5,959 in Richmond.
- The median age in Richmond is higher at 39.9 years, compared to 31.7 years in Montgomery.
- Montgomery has a higher median income of $105,240 compared to $61,694 in Richmond.
- The percentage of married families is the same in both Montgomery and Richmond at 36.0%.
- The poverty level is higher in Richmond at 10%, compared to 5% in Montgomery.
- The unemployment rate is the same in both Montgomery and Richmond at 3.5%.
Demographics
Demographics Montgomery vs Richmond provide insight into the diversity of the communities to compare.
| Demographic | Montgomery | Richmond |
|---|---|---|
| Black | 5 | 2 |
| White | 52 | 90 |
| Asian | 1 | Data is updating |
| Hispanic | 31 | 5 |
| Two or More Races | 11 | 2 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Montgomery vs Richmond
- A higher percentage of Black residents are in Montgomery at 5% compared to 2% in Richmond.
- The percentage of White residents is higher in Richmond at 90% compared to 52% in Montgomery.
- The Asian population is larger in Montgomery at 1% compared to 0% in Richmond.
- The Hispanic community is larger in Montgomery at 31% compared to 5% in Richmond.
- More residents identify as two or more races in Montgomery at 11% compared to 2% in Richmond.
- In Richmond, the percentage of American Indian residents is higher at 1%, compared to 0% in Montgomery.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Montgomery | Richmond |
|---|---|---|
| Mental Health Not Good | 14.6% | 19.0% |
| Physical Health Not Good | 10.3% | 13.6% |
| Depression | 18.8% | 26.0% |
| Smoking | 14.1% | 23.7% |
| Binge Drinking | 17.3% | 17.4% |
| Obesity | 34.4% | 37.3% |
| Disability Percentage | 4.0% | 14.0% |
Health Statistics Comparison: Montgomery vs Richmond
- In Richmond, a higher percentage report poor mental health at 19.0% compared to 14.6% in Montgomery.
- Higher depression rates are seen in Richmond at 26.0% versus 18.8% in Montgomery.
- Richmond has a higher smoking rate at 23.7% compared to 14.1% in Montgomery.
- More residents engage in binge drinking in Richmond at 17.4% compared to 17.3% in Montgomery.
- Richmond has higher obesity rates at 37.3% compared to 34.4% in Montgomery.
- There is a higher percentage of disabled individuals in Richmond at 14.0% 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 | Montgomery | Richmond |
|---|---|---|
| No Schooling | 1.2% (255) | 0.3% (17) |
| High School Diploma | 15.6% (3,406) | 32.1% (1,910) |
| Less than High School | 8.2% (1,792) | 15.1% (898) |
| Bachelor's Degree and Higher | 15.5% (3,372) | 6.8% (407) |
Education Levels Comparison: Montgomery vs Richmond
- A higher percentage of residents in Montgomery have no formal schooling at 1.2% compared to 0.3% in Richmond.
- In Richmond, the rate of residents with high school diplomas is higher at 32.1% compared to 15.6% in Montgomery.
- The percentage of residents with less than a high school education is higher in Richmond at 15.1%, compared to 8.2% in Montgomery.
- A higher percentage of residents in Montgomery hold a bachelor's degree or higher at 15.5% compared to 6.8% in Richmond.
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.