Demographics details for Cross city, FL vs Stockholm, WI
Population Overview
Compare main population characteristics in Cross city, FL vs Stockholm, WI.
| Data | Cross city | Stockholm |
|---|---|---|
| Population | 1,754 | 82 |
| Median Age | 40.2 years | 69.8 years |
| Median Income | $44,500 | $62,500 |
| Married Families | 47.0% | 84.0% |
| Poverty Level | 18% | Data is updating |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Cross city vs Stockholm
- In Cross city, the population is higher at 1,754, compared to 82 in Stockholm.
- The median age in Stockholm is higher at 69.8 years, compared to 40.2 years in Cross city.
- Stockholm has a higher median income of $62,500, compared to $44,500 in Cross city.
- In Stockholm, the percentage of married families is higher at 84.0%, compared to 47.0% in Cross city.
- Cross city has a higher poverty level at 18% compared to 0% in Stockholm.
- The unemployment rate in Cross city is higher at 3.5%, compared to 2.5% in Stockholm.
Demographics
Demographics Cross city vs Stockholm provide insight into the diversity of the communities to compare.
| Demographic | Cross city | Stockholm |
|---|---|---|
| Black | 20 | Data is updating |
| White | 61 | 100 |
| Asian | 2 | Data is updating |
| Hispanic | 9 | Data is updating |
| Two or More Races | 8 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cross city vs Stockholm
- A higher percentage of Black residents are in Cross city at 20% compared to 0% in Stockholm.
- The percentage of White residents is higher in Stockholm at 100% compared to 61% in Cross city.
- The Asian population is larger in Cross city at 2% compared to 0% in Stockholm.
- The Hispanic community is larger in Cross city at 9% compared to 0% in Stockholm.
- More residents identify as two or more races in Cross city at 8% compared to 0% in Stockholm.
- The percentage of American Indian residents is the same in both Cross city and Stockholm at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cross city | Stockholm |
|---|---|---|
| Mental Health Not Good | 20.0% | 11.8% |
| Physical Health Not Good | 15.8% | 12.6% |
| Depression | 23.8% | 20.6% |
| Smoking | 29.1% | 16.4% |
| Binge Drinking | 14.8% | 19.3% |
| Obesity | 40.8% | 38.6% |
| Disability Percentage | 32.0% | 26.0% |
Health Statistics Comparison: Cross city vs Stockholm
- More residents in Cross city report poor mental health at 20.0% compared to 11.8% in Stockholm.
- Depression is more prevalent in Cross city at 23.8% compared to 20.6% in Stockholm.
- Smoking is more prevalent in Cross city at 29.1% compared to 16.4% in Stockholm.
- More residents engage in binge drinking in Stockholm at 19.3% compared to 14.8% in Cross city.
- Obesity rates are higher in Cross city at 40.8% compared to 38.6% in Stockholm.
- Disability percentages are higher in Cross city at 32.0% compared to 26.0% in Stockholm.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cross city | Stockholm |
|---|---|---|
| No Schooling | 0.9% (15) | 0.0% (Data is updating) |
| High School Diploma | 39.2% (688) | 28.0% (23) |
| Less than High School | 11.7% (205) | 2.4% (2) |
| Bachelor's Degree and Higher | 7.8% (136) | 64.6% (53) |
Education Levels Comparison: Cross city vs Stockholm
- A higher percentage of residents in Cross city have no formal schooling at 0.9% compared to 0.0% in Stockholm.
- A higher percentage of residents in Cross city hold a high school diploma at 39.2% compared to 28.0% in Stockholm.
- More residents in Cross city have less than a high school education at 11.7% compared to 2.4% in Stockholm.
- In Stockholm, a larger share of residents have a bachelor's degree or higher at 64.6% 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.