Demographics details for Taylorville, IL vs Hope, AR
Population Overview
Compare main population characteristics in Taylorville, IL vs Hope, AR.
| Data | Taylorville | Hope |
|---|---|---|
| Population | 10,312 | 8,624 |
| Median Age | 38.2 years | 36.2 years |
| Median Income | $49,471 | $43,018 |
| Married Families | 35.0% | 29.0% |
| Poverty Level | 10% | 20% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Taylorville vs Hope
- In Taylorville, the population is higher at 10,312, compared to 8,624 in Hope.
- Residents in Taylorville have a higher median age of 38.2 years compared to 36.2 years in Hope.
- Taylorville has a higher median income of $49,471 compared to $43,018 in Hope.
- A higher percentage of married families is found in Taylorville at 35.0% compared to 29.0% in Hope.
- The poverty level is higher in Hope at 20%, compared to 10% in Taylorville.
- Hope has a higher unemployment rate at 4.5% compared to 3.5% in Taylorville.
Demographics
Demographics Taylorville vs Hope provide insight into the diversity of the communities to compare.
| Demographic | Taylorville | Hope |
|---|---|---|
| Black | 6 | 48 |
| White | 91 | 28 |
| Asian | 2 | Data is updating |
| Hispanic | Data is updating | 19 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Taylorville vs Hope
- In Hope, the percentage of Black residents is higher at 48% compared to 6% in Taylorville.
- Taylorville has a higher percentage of White residents at 91% compared to 28% in Hope.
- The Asian population is larger in Taylorville at 2% compared to 0% in Hope.
- Hope has a higher percentage of Hispanic residents at 19%, compared to 0% in Taylorville.
- The percentage of residents identifying as two or more races is higher in Hope at 4%, compared to 1% in Taylorville.
- In Hope, the percentage of American Indian residents is higher at 1%, compared to 0% in Taylorville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Taylorville | Hope |
|---|---|---|
| Mental Health Not Good | 17.9% | 20.9% |
| Physical Health Not Good | 12.6% | 16.6% |
| Depression | 22.9% | 24.8% |
| Smoking | 20.7% | 25.2% |
| Binge Drinking | 17.2% | 12.1% |
| Obesity | 39.7% | 48.0% |
| Disability Percentage | 16.0% | 20.0% |
Health Statistics Comparison: Taylorville vs Hope
- In Hope, a higher percentage report poor mental health at 20.9% compared to 17.9% in Taylorville.
- Higher depression rates are seen in Hope at 24.8% versus 22.9% in Taylorville.
- Hope has a higher smoking rate at 25.2% compared to 20.7% in Taylorville.
- Binge drinking is more common in Taylorville at 17.2% compared to 12.1% in Hope.
- Hope has higher obesity rates at 48.0% compared to 39.7% in Taylorville.
- There is a higher percentage of disabled individuals in Hope at 20.0% compared to 16.0% in Taylorville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Taylorville | Hope |
|---|---|---|
| No Schooling | 0.6% (63) | 3.0% (258) |
| High School Diploma | 28.5% (2,938) | 20.8% (1,790) |
| Less than High School | 9.1% (938) | 19.0% (1,641) |
| Bachelor's Degree and Higher | 13.6% (1,406) | 10.0% (863) |
Education Levels Comparison: Taylorville vs Hope
- In Hope, a larger percentage of residents lack formal schooling at 3.0% compared to 0.6% in Taylorville.
- A higher percentage of residents in Taylorville hold a high school diploma at 28.5% compared to 20.8% in Hope.
- The percentage of residents with less than a high school education is higher in Hope at 19.0%, compared to 9.1% in Taylorville.
- A higher percentage of residents in Taylorville hold a bachelor's degree or higher at 13.6% compared to 10.0% in Hope.
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.