Demographics details for Marshall, AR vs Cross city, FL
Population Overview
Compare main population characteristics in Marshall, AR vs Cross city, FL.
| Data | Marshall | Cross city |
|---|---|---|
| Population | 1,339 | 1,754 |
| Median Age | 52.3 years | 40.2 years |
| Median Income | $28,290 | $44,500 |
| Married Families | 33.0% | 47.0% |
| Poverty Level | 16% | 18% |
| Unemployment Rate | 4.2 | 3.5 |
Population Comparison: Marshall vs Cross city
- The population in Cross city is higher at 1,754, compared to 1,339 in Marshall.
- Residents in Marshall have a higher median age of 52.3 years compared to 40.2 years in Cross city.
- Cross city has a higher median income of $44,500, compared to $28,290 in Marshall.
- In Cross city, the percentage of married families is higher at 47.0%, compared to 33.0% in Marshall.
- The poverty level is higher in Cross city at 18%, compared to 16% in Marshall.
- The unemployment rate in Marshall is higher at 4.2%, compared to 3.5% in Cross city.
Demographics
Demographics Marshall vs Cross city provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Cross city |
|---|---|---|
| Black | Data is updating | 20 |
| White | 84 | 61 |
| Asian | Data is updating | 2 |
| Hispanic | 3 | 9 |
| Two or More Races | 12 | 8 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Marshall vs Cross city
- In Cross city, the percentage of Black residents is higher at 20% compared to 0% in Marshall.
- Marshall has a higher percentage of White residents at 84% compared to 61% in Cross city.
- In Cross city, the Asian population stands at 2%, greater than 0% in Marshall.
- Cross city has a higher percentage of Hispanic residents at 9%, compared to 3% in Marshall.
- More residents identify as two or more races in Marshall at 12% compared to 8% in Cross city.
- A greater percentage of American Indian residents live in Marshall at 1% compared to 0% in Cross city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Cross city |
|---|---|---|
| Mental Health Not Good | 21.7% | 20.0% |
| Physical Health Not Good | 16.2% | 15.8% |
| Depression | 29.8% | 23.8% |
| Smoking | 27.2% | 29.1% |
| Binge Drinking | 14.7% | 14.8% |
| Obesity | 39.2% | 40.8% |
| Disability Percentage | 30.0% | 32.0% |
Health Statistics Comparison: Marshall vs Cross city
- More residents in Marshall report poor mental health at 21.7% compared to 20.0% in Cross city.
- Depression is more prevalent in Marshall at 29.8% compared to 23.8% in Cross city.
- Cross city has a higher smoking rate at 29.1% compared to 27.2% in Marshall.
- More residents engage in binge drinking in Cross city at 14.8% compared to 14.7% in Marshall.
- Cross city has higher obesity rates at 40.8% compared to 39.2% in Marshall.
- There is a higher percentage of disabled individuals in Cross city at 32.0% compared to 30.0% in Marshall.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Marshall | Cross city |
|---|---|---|
| No Schooling | 0.9% (12) | 0.9% (15) |
| High School Diploma | 27.9% (373) | 39.2% (688) |
| Less than High School | 32.4% (434) | 11.7% (205) |
| Bachelor's Degree and Higher | 11.7% (156) | 7.8% (136) |
Education Levels Comparison: Marshall vs Cross city
- The percentage of residents with no formal schooling is the same in both Marshall and Cross city at 0.9%.
- In Cross city, the rate of residents with high school diplomas is higher at 39.2% compared to 27.9% in Marshall.
- More residents in Marshall have less than a high school education at 32.4% compared to 11.7% in Cross city.
- A higher percentage of residents in Marshall hold a bachelor's degree or higher at 11.7% compared to 7.8% in Cross city.
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.