Demographics details for Gray, ME vs Pekin, IL
Population Overview
Compare main population characteristics in Gray, ME vs Pekin, IL.
| Data | Gray | Pekin |
|---|---|---|
| Population | 7,761 | 31,260 |
| Median Age | 43.0 years | 41.2 years |
| Median Income | $81,712 | $52,507 |
| Married Families | 60.0% | 34.0% |
| Poverty Level | 5% | 12% |
| Unemployment Rate | 2.1 | 6.4 |
Population Comparison: Gray vs Pekin
- The population in Pekin is higher at 31,260, compared to 7,761 in Gray.
- Residents in Gray have a higher median age of 43.0 years compared to 41.2 years in Pekin.
- Gray has a higher median income of $81,712 compared to $52,507 in Pekin.
- A higher percentage of married families is found in Gray at 60.0% compared to 34.0% in Pekin.
- The poverty level is higher in Pekin at 12%, compared to 5% in Gray.
- Pekin has a higher unemployment rate at 6.4% compared to 2.1% in Gray.
Demographics
Demographics Gray vs Pekin provide insight into the diversity of the communities to compare.
| Demographic | Gray | Pekin |
|---|---|---|
| Black | 1 | 3 |
| White | 95 | 89 |
| Asian | 1 | 1 |
| Hispanic | 3 | 3 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Gray vs Pekin
- In Pekin, the percentage of Black residents is higher at 3% compared to 1% in Gray.
- Gray has a higher percentage of White residents at 95% compared to 89% in Pekin.
- Both Gray and Pekin have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Gray and Pekin at 3%.
- The percentage of residents identifying as two or more races is higher in Pekin at 4%, compared to 2% in Gray.
- The percentage of American Indian residents is the same in both Gray and Pekin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gray | Pekin |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.3% |
| Physical Health Not Good | Data is updating% | 12.0% |
| Depression | Data is updating% | 23.2% |
| Smoking | Data is updating% | 19.8% |
| Binge Drinking | Data is updating% | 17.3% |
| Obesity | Data is updating% | 38.0% |
| Disability Percentage | Data is updating% | 15.0% |
Health Statistics Comparison: Gray vs Pekin
- In Pekin, a higher percentage report poor mental health at 17.3% compared to 0.0% in Gray.
- Higher depression rates are seen in Pekin at 23.2% versus 0.0% in Gray.
- Pekin has a higher smoking rate at 19.8% compared to 0.0% in Gray.
- More residents engage in binge drinking in Pekin at 17.3% compared to 0.0% in Gray.
- Pekin has higher obesity rates at 38.0% compared to 0.0% in Gray.
- There is a higher percentage of disabled individuals in Pekin at 15.0% compared to 0.0% in Gray.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gray | Pekin |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (204) |
| High School Diploma | 0.0% (Data is updating) | 21.2% (6,641) |
| Less than High School | 0.0% (Data is updating) | 13.9% (4,351) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 13.2% (4,126) |
Education Levels Comparison: Gray vs Pekin
- In Pekin, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Gray.
- In Pekin, the rate of residents with high school diplomas is higher at 21.2% compared to 0.0% in Gray.
- The percentage of residents with less than a high school education is higher in Pekin at 13.9%, compared to 0.0% in Gray.
- In Pekin, a larger share of residents have a bachelor's degree or higher at 13.2% compared to 0.0% in Gray.
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.