Demographics details for Marshall, AR vs Okawville, IL
Population Overview
Compare main population characteristics in Marshall, AR vs Okawville, IL.
| Data | Marshall | Okawville |
|---|---|---|
| Population | 1,339 | 1,357 |
| Median Age | 52.3 years | 43.6 years |
| Median Income | $28,290 | $78,950 |
| Married Families | 33.0% | 52.0% |
| Poverty Level | 16% | Data is updating |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Marshall vs Okawville
- The population in Okawville is higher at 1,357, compared to 1,339 in Marshall.
- Residents in Marshall have a higher median age of 52.3 years compared to 43.6 years in Okawville.
- Okawville has a higher median income of $78,950, compared to $28,290 in Marshall.
- In Okawville, the percentage of married families is higher at 52.0%, compared to 33.0% in Marshall.
- Marshall has a higher poverty level at 16% compared to 0% in Okawville.
- The unemployment rate is the same in both Marshall and Okawville at 4.2%.
Demographics
Demographics Marshall vs Okawville provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Okawville |
|---|---|---|
| Black | Data is updating | 1 |
| White | 84 | 94 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | 3 |
| Two or More Races | 12 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Marshall vs Okawville
- In Okawville, the percentage of Black residents is higher at 1% compared to 0% in Marshall.
- The percentage of White residents is higher in Okawville at 94% compared to 84% in Marshall.
- In Okawville, the Asian population stands at 1%, greater than 0% in Marshall.
- The percentage of Hispanic residents is the same in both Marshall and Okawville at 3%.
- More residents identify as two or more races in Marshall at 12% compared to 1% in Okawville.
- A greater percentage of American Indian residents live in Marshall at 1% compared to 0% in Okawville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Okawville |
|---|---|---|
| Mental Health Not Good | 21.7% | 15.1% |
| Physical Health Not Good | 16.2% | 9.5% |
| Depression | 29.8% | 21.3% |
| Smoking | 27.2% | 14.8% |
| Binge Drinking | 14.7% | 19.4% |
| Obesity | 39.2% | 34.1% |
| Disability Percentage | 30.0% | 9.0% |
Health Statistics Comparison: Marshall vs Okawville
- More residents in Marshall report poor mental health at 21.7% compared to 15.1% in Okawville.
- Depression is more prevalent in Marshall at 29.8% compared to 21.3% in Okawville.
- Smoking is more prevalent in Marshall at 27.2% compared to 14.8% in Okawville.
- More residents engage in binge drinking in Okawville at 19.4% compared to 14.7% in Marshall.
- Obesity rates are higher in Marshall at 39.2% compared to 34.1% in Okawville.
- Disability percentages are higher in Marshall at 30.0% compared to 9.0% in Okawville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshall | Okawville |
|---|---|---|
| No Schooling | 0.9% (12) | 1.8% (24) |
| High School Diploma | 27.9% (373) | 17.8% (241) |
| Less than High School | 32.4% (434) | 13.6% (184) |
| Bachelor's Degree and Higher | 11.7% (156) | 23.5% (319) |
Education Levels Comparison: Marshall vs Okawville
- In Okawville, a larger percentage of residents lack formal schooling at 1.8% compared to 0.9% in Marshall.
- A higher percentage of residents in Marshall hold a high school diploma at 27.9% compared to 17.8% in Okawville.
- More residents in Marshall have less than a high school education at 32.4% compared to 13.6% in Okawville.
- In Okawville, a larger share of residents have a bachelor's degree or higher at 23.5% compared to 11.7% in Marshall.
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.