Demographics details for Elmo, UT vs Stockholm, WI
Population Overview
Compare main population characteristics in Elmo, UT vs Stockholm, WI.
| Data | Elmo | Stockholm |
|---|---|---|
| Population | 415 | 82 |
| Median Age | 38.3 years | 69.8 years |
| Median Income | $62,917 | $62,500 |
| Married Families | 44.0% | 84.0% |
| Poverty Level | Data is updating | Data is updating |
| Unemployment Rate | 2.5 | 2.5 |
Population Comparison: Elmo vs Stockholm
- In Elmo, the population is higher at 415, compared to 82 in Stockholm.
- The median age in Stockholm is higher at 69.8 years, compared to 38.3 years in Elmo.
- Elmo has a higher median income of $62,917 compared to $62,500 in Stockholm.
- In Stockholm, the percentage of married families is higher at 84.0%, compared to 44.0% in Elmo.
- The poverty level is identical in both Elmo and Stockholm at 0%.
- The unemployment rate is the same in both Elmo and Stockholm at 2.5%.
Demographics
Demographics Elmo vs Stockholm provide insight into the diversity of the communities to compare.
| Demographic | Elmo | Stockholm |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 96 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | 4 | Data is updating |
| Two or More Races | Data is updating | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Elmo vs Stockholm
- The percentage of Black residents is the same in both Elmo and Stockholm at 0%.
- The percentage of White residents is higher in Stockholm at 100% compared to 96% in Elmo.
- Both Elmo and Stockholm have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Elmo at 4% compared to 0% in Stockholm.
- Both Elmo and Stockholm have the same percentage of residents identifying as two or more races at 0%.
- The percentage of American Indian residents is the same in both Elmo and Stockholm at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Elmo | Stockholm |
|---|---|---|
| Mental Health Not Good | 17.3% | 11.8% |
| Physical Health Not Good | 11.7% | 12.6% |
| Depression | 22.9% | 20.6% |
| Smoking | 11.9% | 16.4% |
| Binge Drinking | 13.2% | 19.3% |
| Obesity | 36.4% | 38.6% |
| Disability Percentage | 20.0% | 26.0% |
Health Statistics Comparison: Elmo vs Stockholm
- More residents in Elmo report poor mental health at 17.3% compared to 11.8% in Stockholm.
- Depression is more prevalent in Elmo at 22.9% compared to 20.6% in Stockholm.
- Stockholm has a higher smoking rate at 16.4% compared to 11.9% in Elmo.
- More residents engage in binge drinking in Stockholm at 19.3% compared to 13.2% in Elmo.
- Stockholm has higher obesity rates at 38.6% compared to 36.4% in Elmo.
- There is a higher percentage of disabled individuals in Stockholm at 26.0% compared to 20.0% in Elmo.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Elmo | Stockholm |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 8.0% (33) | 28.0% (23) |
| Less than High School | 5.8% (24) | 2.4% (2) |
| Bachelor's Degree and Higher | 13.7% (57) | 64.6% (53) |
Education Levels Comparison: Elmo vs Stockholm
- The percentage of residents with no formal schooling is the same in both Elmo and Stockholm at 0.0%.
- In Stockholm, the rate of residents with high school diplomas is higher at 28.0% compared to 8.0% in Elmo.
- More residents in Elmo have less than a high school education at 5.8% 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 13.7% in Elmo.
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.