Demographics details for Waynesfield, OH vs Pekin, IL
Population Overview
Compare main population characteristics in Waynesfield, OH vs Pekin, IL.
Data | Waynesfield | Pekin |
---|---|---|
Population | 736 | 31,260 |
Median Age | 35.4 years | 41.2 years |
Median Income | $63,750 | $52,507 |
Married Families | 36.0% | 34.0% |
Poverty Level | Data is updating | 12% |
Unemployment Rate | 4.5 | 6.4 |
Population Comparison: Waynesfield vs Pekin
- The population in Pekin is higher at 31,260, compared to 736 in Waynesfield.
- The median age in Pekin is higher at 41.2 years, compared to 35.4 years in Waynesfield.
- Waynesfield has a higher median income of $63,750 compared to $52,507 in Pekin.
- A higher percentage of married families is found in Waynesfield at 36.0% compared to 34.0% in Pekin.
- The poverty level is higher in Pekin at 12%, compared to 0% in Waynesfield.
- Pekin has a higher unemployment rate at 6.4% compared to 4.5% in Waynesfield.
Demographics
Demographics Waynesfield vs Pekin provide insight into the diversity of the communities to compare.
Demographic | Waynesfield | Pekin |
---|---|---|
Black | 1 | 3 |
White | 91 | 89 |
Asian | Data is updating | 1 |
Hispanic | 3 | 3 |
Two or More Races | 5 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Waynesfield vs Pekin
- In Pekin, the percentage of Black residents is higher at 3% compared to 1% in Waynesfield.
- Waynesfield has a higher percentage of White residents at 91% compared to 89% in Pekin.
- In Pekin, the Asian population stands at 1%, greater than 0% in Waynesfield.
- The percentage of Hispanic residents is the same in both Waynesfield and Pekin at 3%.
- More residents identify as two or more races in Waynesfield at 5% compared to 4% in Pekin.
- The percentage of American Indian residents is the same in both Waynesfield and Pekin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Waynesfield | Pekin |
---|---|---|
Mental Health Not Good | 17.3% | 17.3% |
Physical Health Not Good | 11.4% | 12.0% |
Depression | 23.2% | 23.2% |
Smoking | 19.6% | 19.8% |
Binge Drinking | 19.3% | 17.3% |
Obesity | 37.4% | 38.0% |
Disability Percentage | 7.0% | 15.0% |
Health Statistics Comparison: Waynesfield vs Pekin
- Poor mental health levels are equal in both Waynesfield and Pekin at 17.3%.
- Both cities have comparable depression rates at 23.2%.
- Pekin has a higher smoking rate at 19.8% compared to 19.6% in Waynesfield.
- Binge drinking is more common in Waynesfield at 19.3% compared to 17.3% in Pekin.
- Pekin has higher obesity rates at 38.0% compared to 37.4% in Waynesfield.
- There is a higher percentage of disabled individuals in Pekin at 15.0% compared to 7.0% in Waynesfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Waynesfield | Pekin |
---|---|---|
No Schooling | 1.8% (13) | 0.7% (204) |
High School Diploma | 24.3% (179) | 21.2% (6,641) |
Less than High School | 9.8% (72) | 13.9% (4,351) |
Bachelor's Degree and Higher | 10.2% (75) | 13.2% (4,126) |
Education Levels Comparison: Waynesfield vs Pekin
- A higher percentage of residents in Waynesfield have no formal schooling at 1.8% compared to 0.7% in Pekin.
- A higher percentage of residents in Waynesfield hold a high school diploma at 24.3% compared to 21.2% in Pekin.
- The percentage of residents with less than a high school education is higher in Pekin at 13.9%, compared to 9.8% in Waynesfield.
- In Pekin, a larger share of residents have a bachelor's degree or higher at 13.2% compared to 10.2% in Waynesfield.
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.