Demographics details for Plainfield, IL vs Marshall, CA
Population Overview
Compare main population characteristics in Plainfield, IL vs Marshall, CA.
Data | Plainfield | Marshall |
---|---|---|
Population | 46,243 | 533 |
Median Age | 37.7 years | 42.0 years |
Median Income | $143,064 | $90,000 |
Married Families | 46.0% | 60.0% |
Poverty Level | 7% | 5% |
Unemployment Rate | 5.6 | 3.0 |
Population Comparison: Plainfield vs Marshall
- In Plainfield, the population is higher at 46,243, compared to 533 in Marshall.
- The median age in Marshall is higher at 42.0 years, compared to 37.7 years in Plainfield.
- Plainfield has a higher median income of $143,064 compared to $90,000 in Marshall.
- In Marshall, the percentage of married families is higher at 60.0%, compared to 46.0% in Plainfield.
- Plainfield has a higher poverty level at 7% compared to 5% in Marshall.
- The unemployment rate in Plainfield is higher at 5.6%, compared to 3.0% in Marshall.
Demographics
Demographics Plainfield vs Marshall provide insight into the diversity of the communities to compare.
Demographic | Plainfield | Marshall |
---|---|---|
Black | 9 | Data is updating |
White | 69 | 90 |
Asian | 9 | 2 |
Hispanic | 8 | 5 |
Two or More Races | 5 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Plainfield vs Marshall
- A higher percentage of Black residents are in Plainfield at 9% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 90% compared to 69% in Plainfield.
- The Asian population is larger in Plainfield at 9% compared to 2% in Marshall.
- The Hispanic community is larger in Plainfield at 8% compared to 5% in Marshall.
- More residents identify as two or more races in Plainfield at 5% compared to 3% in Marshall.
- The percentage of American Indian residents is the same in both Plainfield and Marshall at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Plainfield | Marshall |
---|---|---|
Mental Health Not Good | 12.7% | Data is updating% |
Physical Health Not Good | 8.0% | Data is updating% |
Depression | 17.8% | Data is updating% |
Smoking | 10.8% | Data is updating% |
Binge Drinking | 17.9% | Data is updating% |
Obesity | 30.4% | Data is updating% |
Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Plainfield vs Marshall
- More residents in Plainfield report poor mental health at 12.7% compared to 0.0% in Marshall.
- Depression is more prevalent in Plainfield at 17.8% compared to 0.0% in Marshall.
- Smoking is more prevalent in Plainfield at 10.8% compared to 0.0% in Marshall.
- Binge drinking is more common in Plainfield at 17.9% compared to 0.0% in Marshall.
- Obesity rates are higher in Plainfield at 30.4% compared to 0.0% in Marshall.
- Disability percentages are higher in Plainfield at 8.0% compared to 0.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Plainfield | Marshall |
---|---|---|
No Schooling | 0.5% (213) | 0.0% (Data is updating) |
High School Diploma | 8.9% (4,121) | 0.0% (Data is updating) |
Less than High School | 4.8% (2,237) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 33.1% (15,293) | 0.0% (Data is updating) |
Education Levels Comparison: Plainfield vs Marshall
- A higher percentage of residents in Plainfield have no formal schooling at 0.5% compared to 0.0% in Marshall.
- A higher percentage of residents in Plainfield hold a high school diploma at 8.9% compared to 0.0% in Marshall.
- More residents in Plainfield have less than a high school education at 4.8% compared to 0.0% in Marshall.
- A higher percentage of residents in Plainfield hold a bachelor's degree or higher at 33.1% compared to 0.0% in Marshall.
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.