Demographics details for Leander, TX vs Stockholm, WI
Population Overview
Compare main population characteristics in Leander, TX vs Stockholm, WI.
| Data | Leander | Stockholm |
|---|---|---|
| Population | 74,375 | 82 |
| Median Age | 35.5 years | 69.8 years |
| Median Income | $129,684 | $62,500 |
| Married Families | 40.0% | 84.0% |
| Poverty Level | 5% | Data is updating |
| Unemployment Rate | 4.0 | 2.5 |
Population Comparison: Leander vs Stockholm
- In Leander, the population is higher at 74,375, compared to 82 in Stockholm.
- The median age in Stockholm is higher at 69.8 years, compared to 35.5 years in Leander.
- Leander has a higher median income of $129,684 compared to $62,500 in Stockholm.
- In Stockholm, the percentage of married families is higher at 84.0%, compared to 40.0% in Leander.
- Leander has a higher poverty level at 5% compared to 0% in Stockholm.
- The unemployment rate in Leander is higher at 4.0%, compared to 2.5% in Stockholm.
Demographics
Demographics Leander vs Stockholm provide insight into the diversity of the communities to compare.
| Demographic | Leander | Stockholm |
|---|---|---|
| Black | 5 | Data is updating |
| White | 57 | 100 |
| Asian | 7 | Data is updating |
| Hispanic | 20 | Data is updating |
| Two or More Races | 11 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Leander vs Stockholm
- A higher percentage of Black residents are in Leander at 5% compared to 0% in Stockholm.
- The percentage of White residents is higher in Stockholm at 100% compared to 57% in Leander.
- The Asian population is larger in Leander at 7% compared to 0% in Stockholm.
- The Hispanic community is larger in Leander at 20% compared to 0% in Stockholm.
- More residents identify as two or more races in Leander at 11% compared to 0% in Stockholm.
- The percentage of American Indian residents is the same in both Leander and Stockholm at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Leander | Stockholm |
|---|---|---|
| Mental Health Not Good | 15.7% | 11.8% |
| Physical Health Not Good | 9.5% | 12.6% |
| Depression | 24.7% | 20.6% |
| Smoking | 12.4% | 16.4% |
| Binge Drinking | 17.8% | 19.3% |
| Obesity | 32.7% | 38.6% |
| Disability Percentage | 7.0% | 26.0% |
Health Statistics Comparison: Leander vs Stockholm
- More residents in Leander report poor mental health at 15.7% compared to 11.8% in Stockholm.
- Depression is more prevalent in Leander at 24.7% compared to 20.6% in Stockholm.
- Stockholm has a higher smoking rate at 16.4% compared to 12.4% in Leander.
- More residents engage in binge drinking in Stockholm at 19.3% compared to 17.8% in Leander.
- Stockholm has higher obesity rates at 38.6% compared to 32.7% in Leander.
- There is a higher percentage of disabled individuals in Stockholm at 26.0% compared to 7.0% in Leander.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Leander | Stockholm |
|---|---|---|
| No Schooling | 0.6% (422) | 0.0% (Data is updating) |
| High School Diploma | 7.1% (5,306) | 28.0% (23) |
| Less than High School | 4.3% (3,162) | 2.4% (2) |
| Bachelor's Degree and Higher | 26.4% (19,620) | 64.6% (53) |
Education Levels Comparison: Leander vs Stockholm
- A higher percentage of residents in Leander have no formal schooling at 0.6% compared to 0.0% in Stockholm.
- In Stockholm, the rate of residents with high school diplomas is higher at 28.0% compared to 7.1% in Leander.
- More residents in Leander have less than a high school education at 4.3% 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 26.4% in Leander.
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.