Demographics details for Pekin, IL vs Wheeler, TX
Population Overview
Compare main population characteristics in Pekin, IL vs Wheeler, TX.
| Data | Pekin | Wheeler |
|---|---|---|
| Population | 31,260 | 4,807 |
| Median Age | 41.2 years | 40.0 years |
| Median Income | $52,507 | $58,158 |
| Married Families | 34.0% | 49.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 6.4 | 4.1 |
Population Comparison: Pekin vs Wheeler
- In Pekin, the population is higher at 31,260, compared to 4,807 in Wheeler.
- Residents in Pekin have a higher median age of 41.2 years compared to 40.0 years in Wheeler.
- Wheeler has a higher median income of $58,158, compared to $52,507 in Pekin.
- In Wheeler, the percentage of married families is higher at 49.0%, compared to 34.0% in Pekin.
- The poverty level is higher in Wheeler at 14%, compared to 12% in Pekin.
- The unemployment rate in Pekin is higher at 6.4%, compared to 4.1% in Wheeler.
Demographics
Demographics Pekin vs Wheeler provide insight into the diversity of the communities to compare.
| Demographic | Pekin | Wheeler |
|---|---|---|
| Black | 3 | 3 |
| White | 89 | 63 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 26 |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pekin vs Wheeler
- The percentage of Black residents is the same in both Pekin and Wheeler at 3%.
- Pekin has a higher percentage of White residents at 89% compared to 63% in Wheeler.
- The Asian population is larger in Pekin at 1% compared to 0% in Wheeler.
- Wheeler has a higher percentage of Hispanic residents at 26%, compared to 3% in Pekin.
- The percentage of residents identifying as two or more races is higher in Wheeler at 8%, compared to 4% in Pekin.
- The percentage of American Indian residents is the same in both Pekin and Wheeler at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pekin | Wheeler |
|---|---|---|
| Mental Health Not Good | 17.3% | 18.9% |
| Physical Health Not Good | 12.0% | 13.6% |
| Depression | 23.2% | 24.8% |
| Smoking | 19.8% | 20.3% |
| Binge Drinking | 17.3% | 17.8% |
| Obesity | 38.0% | 39.0% |
| Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Pekin vs Wheeler
- In Wheeler, a higher percentage report poor mental health at 18.9% compared to 17.3% in Pekin.
- Higher depression rates are seen in Wheeler at 24.8% versus 23.2% in Pekin.
- Wheeler has a higher smoking rate at 20.3% compared to 19.8% in Pekin.
- More residents engage in binge drinking in Wheeler at 17.8% compared to 17.3% in Pekin.
- Wheeler has higher obesity rates at 39.0% compared to 38.0% in Pekin.
- There is a higher percentage of disabled individuals in Wheeler at 16.0% compared to 15.0% in Pekin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pekin | Wheeler |
|---|---|---|
| No Schooling | 0.7% (204) | 1.2% (59) |
| High School Diploma | 21.2% (6,641) | 23.7% (1,141) |
| Less than High School | 13.9% (4,351) | 19.7% (948) |
| Bachelor's Degree and Higher | 13.2% (4,126) | 12.4% (596) |
Education Levels Comparison: Pekin vs Wheeler
- In Wheeler, a larger percentage of residents lack formal schooling at 1.2% compared to 0.7% in Pekin.
- In Wheeler, the rate of residents with high school diplomas is higher at 23.7% compared to 21.2% in Pekin.
- The percentage of residents with less than a high school education is higher in Wheeler at 19.7%, compared to 13.9% in Pekin.
- A higher percentage of residents in Pekin hold a bachelor's degree or higher at 13.2% compared to 12.4% in Wheeler.
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.