Demographics details for Carthage, MO vs Pekin, IL
Population Overview
Compare main population characteristics in Carthage, MO vs Pekin, IL.
| Data | Carthage | Pekin |
|---|---|---|
| Population | 15,491 | 31,260 |
| Median Age | 31.6 years | 41.2 years |
| Median Income | $43,526 | $52,507 |
| Married Families | 29.0% | 34.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 4.5 | 6.4 |
Population Comparison: Carthage vs Pekin
- The population in Pekin is higher at 31,260, compared to 15,491 in Carthage.
- The median age in Pekin is higher at 41.2 years, compared to 31.6 years in Carthage.
- Pekin has a higher median income of $52,507, compared to $43,526 in Carthage.
- In Pekin, the percentage of married families is higher at 34.0%, compared to 29.0% in Carthage.
- Carthage has a higher poverty level at 14% compared to 12% in Pekin.
- Pekin has a higher unemployment rate at 6.4% compared to 4.5% in Carthage.
Demographics
Demographics Carthage vs Pekin provide insight into the diversity of the communities to compare.
| Demographic | Carthage | Pekin |
|---|---|---|
| Black | 2 | 3 |
| White | 52 | 89 |
| Asian | 1 | 1 |
| Hispanic | 33 | 3 |
| Two or More Races | 10 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Carthage vs Pekin
- In Pekin, the percentage of Black residents is higher at 3% compared to 2% in Carthage.
- The percentage of White residents is higher in Pekin at 89% compared to 52% in Carthage.
- Both Carthage and Pekin have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Carthage at 33% compared to 3% in Pekin.
- More residents identify as two or more races in Carthage at 10% compared to 4% in Pekin.
- A greater percentage of American Indian residents live in Carthage at 2% compared to 0% in Pekin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Carthage | Pekin |
|---|---|---|
| Mental Health Not Good | 20.2% | 17.3% |
| Physical Health Not Good | 16.0% | 12.0% |
| Depression | 26.7% | 23.2% |
| Smoking | 24.9% | 19.8% |
| Binge Drinking | 15.0% | 17.3% |
| Obesity | 42.7% | 38.0% |
| Disability Percentage | 13.0% | 15.0% |
Health Statistics Comparison: Carthage vs Pekin
- More residents in Carthage report poor mental health at 20.2% compared to 17.3% in Pekin.
- Depression is more prevalent in Carthage at 26.7% compared to 23.2% in Pekin.
- Smoking is more prevalent in Carthage at 24.9% compared to 19.8% in Pekin.
- More residents engage in binge drinking in Pekin at 17.3% compared to 15.0% in Carthage.
- Obesity rates are higher in Carthage at 42.7% compared to 38.0% in Pekin.
- There is a higher percentage of disabled individuals in Pekin at 15.0% compared to 13.0% in Carthage.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Carthage | Pekin |
|---|---|---|
| No Schooling | 3.7% (576) | 0.7% (204) |
| High School Diploma | 13.1% (2,032) | 21.2% (6,641) |
| Less than High School | 30.4% (4,717) | 13.9% (4,351) |
| Bachelor's Degree and Higher | 12.9% (2,006) | 13.2% (4,126) |
Education Levels Comparison: Carthage vs Pekin
- A higher percentage of residents in Carthage have no formal schooling at 3.7% compared to 0.7% in Pekin.
- In Pekin, the rate of residents with high school diplomas is higher at 21.2% compared to 13.1% in Carthage.
- More residents in Carthage have less than a high school education at 30.4% compared to 13.9% in Pekin.
- In Pekin, a larger share of residents have a bachelor's degree or higher at 13.2% compared to 12.9% in Carthage.
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.