Demographics details for Joliet, IL vs Martinsburg, WV
Population Overview
Compare main population characteristics in Joliet, IL vs Martinsburg, WV.
| Data | Joliet | Martinsburg |
|---|---|---|
| Population | 150,033 | 18,953 |
| Median Age | 34.3 years | 36.4 years |
| Median Income | $84,971 | $55,240 |
| Married Families | 35.0% | 29.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 7.1 | 4.5 |
Population Comparison: Joliet vs Martinsburg
- In Joliet, the population is higher at 150,033, compared to 18,953 in Martinsburg.
- The median age in Martinsburg is higher at 36.4 years, compared to 34.3 years in Joliet.
- Joliet has a higher median income of $84,971 compared to $55,240 in Martinsburg.
- A higher percentage of married families is found in Joliet at 35.0% compared to 29.0% in Martinsburg.
- Joliet has a higher poverty level at 12% compared to 8% in Martinsburg.
- The unemployment rate in Joliet is higher at 7.1%, compared to 4.5% in Martinsburg.
Demographics
Demographics Joliet vs Martinsburg provide insight into the diversity of the communities to compare.
| Demographic | Joliet | Martinsburg |
|---|---|---|
| Black | 17 | 13 |
| White | 36 | 69 |
| Asian | 2 | 1 |
| Hispanic | 34 | 6 |
| Two or More Races | 10 | 11 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Joliet vs Martinsburg
- A higher percentage of Black residents are in Joliet at 17% compared to 13% in Martinsburg.
- The percentage of White residents is higher in Martinsburg at 69% compared to 36% in Joliet.
- The Asian population is larger in Joliet at 2% compared to 1% in Martinsburg.
- The Hispanic community is larger in Joliet at 34% compared to 6% in Martinsburg.
- The percentage of residents identifying as two or more races is higher in Martinsburg at 11%, compared to 10% in Joliet.
- A greater percentage of American Indian residents live in Joliet at 1% compared to 0% in Martinsburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Joliet | Martinsburg |
|---|---|---|
| Mental Health Not Good | 15.7% | 21.8% |
| Physical Health Not Good | 11.7% | 15.8% |
| Depression | 19.1% | 27.7% |
| Smoking | 16.9% | 24.7% |
| Binge Drinking | 16.2% | 12.6% |
| Obesity | 37.4% | 43.0% |
| Disability Percentage | 9.0% | 17.0% |
Health Statistics Comparison: Joliet vs Martinsburg
- In Martinsburg, a higher percentage report poor mental health at 21.8% compared to 15.7% in Joliet.
- Higher depression rates are seen in Martinsburg at 27.7% versus 19.1% in Joliet.
- Martinsburg has a higher smoking rate at 24.7% compared to 16.9% in Joliet.
- Binge drinking is more common in Joliet at 16.2% compared to 12.6% in Martinsburg.
- Martinsburg has higher obesity rates at 43.0% compared to 37.4% in Joliet.
- There is a higher percentage of disabled individuals in Martinsburg at 17.0% compared to 9.0% in Joliet.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Joliet | Martinsburg |
|---|---|---|
| No Schooling | 1.5% (2,247) | 0.8% (144) |
| High School Diploma | 14.9% (22,362) | 16.7% (3,171) |
| Less than High School | 17.5% (26,199) | 13.5% (2,556) |
| Bachelor's Degree and Higher | 15.6% (23,354) | 16.2% (3,077) |
Education Levels Comparison: Joliet vs Martinsburg
- A higher percentage of residents in Joliet have no formal schooling at 1.5% compared to 0.8% in Martinsburg.
- In Martinsburg, the rate of residents with high school diplomas is higher at 16.7% compared to 14.9% in Joliet.
- More residents in Joliet have less than a high school education at 17.5% compared to 13.5% in Martinsburg.
- In Martinsburg, a larger share of residents have a bachelor's degree or higher at 16.2% compared to 15.6% in Joliet.
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.