Demographics details for Cross city, FL vs Harris, IA
Population Overview
Compare main population characteristics in Cross city, FL vs Harris, IA.
| Data | Cross city | Harris |
|---|---|---|
| Population | 1,754 | 147 |
| Median Age | 40.2 years | 60.3 years |
| Median Income | $44,500 | $49,162 |
| Married Families | 47.0% | 87.0% |
| Poverty Level | 18% | 9% |
| Unemployment Rate | 3.5 | 3.1 |
Population Comparison: Cross city vs Harris
- In Cross city, the population is higher at 1,754, compared to 147 in Harris.
- The median age in Harris is higher at 60.3 years, compared to 40.2 years in Cross city.
- Harris has a higher median income of $49,162, compared to $44,500 in Cross city.
- In Harris, the percentage of married families is higher at 87.0%, compared to 47.0% in Cross city.
- Cross city has a higher poverty level at 18% compared to 9% in Harris.
- The unemployment rate in Cross city is higher at 3.5%, compared to 3.1% in Harris.
Demographics
Demographics Cross city vs Harris provide insight into the diversity of the communities to compare.
| Demographic | Cross city | Harris |
|---|---|---|
| Black | 20 | Data is updating |
| White | 61 | 85 |
| Asian | 2 | Data is updating |
| Hispanic | 9 | 4 |
| Two or More Races | 8 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cross city vs Harris
- A higher percentage of Black residents are in Cross city at 20% compared to 0% in Harris.
- The percentage of White residents is higher in Harris at 85% compared to 61% in Cross city.
- The Asian population is larger in Cross city at 2% compared to 0% in Harris.
- The Hispanic community is larger in Cross city at 9% compared to 4% in Harris.
- The percentage of residents identifying as two or more races is higher in Harris at 11%, compared to 8% in Cross city.
- The percentage of American Indian residents is the same in both Cross city and Harris at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cross city | Harris |
|---|---|---|
| Mental Health Not Good | 20.0% | 16.2% |
| Physical Health Not Good | 15.8% | 10.3% |
| Depression | 23.8% | 19.3% |
| Smoking | 29.1% | 19.3% |
| Binge Drinking | 14.8% | 21.9% |
| Obesity | 40.8% | 40.2% |
| Disability Percentage | 32.0% | 11.0% |
Health Statistics Comparison: Cross city vs Harris
- More residents in Cross city report poor mental health at 20.0% compared to 16.2% in Harris.
- Depression is more prevalent in Cross city at 23.8% compared to 19.3% in Harris.
- Smoking is more prevalent in Cross city at 29.1% compared to 19.3% in Harris.
- More residents engage in binge drinking in Harris at 21.9% compared to 14.8% in Cross city.
- Obesity rates are higher in Cross city at 40.8% compared to 40.2% in Harris.
- Disability percentages are higher in Cross city at 32.0% compared to 11.0% in Harris.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cross city | Harris |
|---|---|---|
| No Schooling | 0.9% (15) | 0.0% (Data is updating) |
| High School Diploma | 39.2% (688) | 25.9% (38) |
| Less than High School | 11.7% (205) | 117.0% (172) |
| Bachelor's Degree and Higher | 7.8% (136) | 7.5% (11) |
Education Levels Comparison: Cross city vs Harris
- A higher percentage of residents in Cross city have no formal schooling at 0.9% compared to 0.0% in Harris.
- A higher percentage of residents in Cross city hold a high school diploma at 39.2% compared to 25.9% in Harris.
- The percentage of residents with less than a high school education is higher in Harris at 117.0%, compared to 11.7% in Cross city.
- A higher percentage of residents in Cross city hold a bachelor's degree or higher at 7.8% compared to 7.5% in Harris.
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.