Demographics details for Parker, SD vs Monroe center, IL
Population Overview
Compare main population characteristics in Parker, SD vs Monroe center, IL.
| Data | Parker | Monroe center |
|---|---|---|
| Population | 1,221 | 410 |
| Median Age | 39.3 years | 39.6 years |
| Median Income | $83,864 | $86,375 |
| Married Families | 39.0% | 56.0% |
| Poverty Level | 5% | 5% |
| Unemployment Rate | 2.0 | 4.5 |
Population Comparison: Parker vs Monroe center
- In Parker, the population is higher at 1,221, compared to 410 in Monroe center.
- The median age in Monroe center is higher at 39.6 years, compared to 39.3 years in Parker.
- Monroe center has a higher median income of $86,375, compared to $83,864 in Parker.
- In Monroe center, the percentage of married families is higher at 56.0%, compared to 39.0% in Parker.
- The poverty level is identical in both Parker and Monroe center at 5%.
- Monroe center has a higher unemployment rate at 4.5% compared to 2.0% in Parker.
Demographics
Demographics Parker vs Monroe center provide insight into the diversity of the communities to compare.
| Demographic | Parker | Monroe center |
|---|---|---|
| Black | 4 | Data is updating |
| White | 85 | 96 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 2 |
| Two or More Races | 4 | 2 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Parker vs Monroe center
- A higher percentage of Black residents are in Parker at 4% compared to 0% in Monroe center.
- The percentage of White residents is higher in Monroe center at 96% compared to 85% in Parker.
- Both Parker and Monroe center have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Parker at 5% compared to 2% in Monroe center.
- More residents identify as two or more races in Parker at 4% compared to 2% in Monroe center.
- A greater percentage of American Indian residents live in Parker at 2% compared to 0% in Monroe center.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Parker | Monroe center |
|---|---|---|
| Mental Health Not Good | 13.5% | 16.4% |
| Physical Health Not Good | 9.0% | 10.9% |
| Depression | 17.8% | 21.7% |
| Smoking | 16.4% | 17.3% |
| Binge Drinking | 20.4% | 18.7% |
| Obesity | 34.4% | 34.5% |
| Disability Percentage | 5.0% | 16.0% |
Health Statistics Comparison: Parker vs Monroe center
- In Monroe center, a higher percentage report poor mental health at 16.4% compared to 13.5% in Parker.
- Higher depression rates are seen in Monroe center at 21.7% versus 17.8% in Parker.
- Monroe center has a higher smoking rate at 17.3% compared to 16.4% in Parker.
- Binge drinking is more common in Parker at 20.4% compared to 18.7% in Monroe center.
- Monroe center has higher obesity rates at 34.5% compared to 34.4% in Parker.
- There is a higher percentage of disabled individuals in Monroe center at 16.0% compared to 5.0% in Parker.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Parker | Monroe center |
|---|---|---|
| No Schooling | 0.2% (3) | 0.0% (Data is updating) |
| High School Diploma | 17.9% (218) | 20.5% (84) |
| Less than High School | 13.0% (159) | 7.8% (32) |
| Bachelor's Degree and Higher | 12.9% (158) | 17.1% (70) |
Education Levels Comparison: Parker vs Monroe center
- A higher percentage of residents in Parker have no formal schooling at 0.2% compared to 0.0% in Monroe center.
- In Monroe center, the rate of residents with high school diplomas is higher at 20.5% compared to 17.9% in Parker.
- More residents in Parker have less than a high school education at 13.0% compared to 7.8% in Monroe center.
- In Monroe center, a larger share of residents have a bachelor's degree or higher at 17.1% compared to 12.9% in Parker.
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.