Demographics details for Wiota, IA vs Glen elder, KS
Population Overview
Compare main population characteristics in Wiota, IA vs Glen elder, KS.
| Data | Wiota | Glen elder |
|---|---|---|
| Population | 91 | 363 |
| Median Age | 70.0 years | 42.7 years |
| Median Income | $73,403 | $65,417 |
| Married Families | 71.0% | 80.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | 3.5 | 3.0 |
Population Comparison: Wiota vs Glen elder
- The population in Glen elder is higher at 363, compared to 91 in Wiota.
- Residents in Wiota have a higher median age of 70.0 years compared to 42.7 years in Glen elder.
- Wiota has a higher median income of $73,403 compared to $65,417 in Glen elder.
- In Glen elder, the percentage of married families is higher at 80.0%, compared to 71.0% in Wiota.
- The poverty level is higher in Glen elder at 10%, compared to 0% in Wiota.
- The unemployment rate in Wiota is higher at 3.5%, compared to 3.0% in Glen elder.
Demographics
Demographics Wiota vs Glen elder provide insight into the diversity of the communities to compare.
| Demographic | Wiota | Glen elder |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 100 | 86 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 7 |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Wiota vs Glen elder
- The percentage of Black residents is the same in both Wiota and Glen elder at 0%.
- Wiota has a higher percentage of White residents at 100% compared to 86% in Glen elder.
- In Glen elder, the Asian population stands at 2%, greater than 0% in Wiota.
- Glen elder has a higher percentage of Hispanic residents at 7%, compared to 0% in Wiota.
- The percentage of residents identifying as two or more races is higher in Glen elder at 5%, compared to 0% in Wiota.
- The percentage of American Indian residents is the same in both Wiota and Glen elder at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wiota | Glen elder |
|---|---|---|
| Mental Health Not Good | 15.3% | 15.8% |
| Physical Health Not Good | 9.9% | 10.2% |
| Depression | 18.3% | 21.3% |
| Smoking | 18.7% | 17.7% |
| Binge Drinking | 22.8% | 19.5% |
| Obesity | 41.9% | 38.5% |
| Disability Percentage | 27.0% | 22.0% |
Health Statistics Comparison: Wiota vs Glen elder
- In Glen elder, a higher percentage report poor mental health at 15.8% compared to 15.3% in Wiota.
- Higher depression rates are seen in Glen elder at 21.3% versus 18.3% in Wiota.
- Smoking is more prevalent in Wiota at 18.7% compared to 17.7% in Glen elder.
- Binge drinking is more common in Wiota at 22.8% compared to 19.5% in Glen elder.
- Obesity rates are higher in Wiota at 41.9% compared to 38.5% in Glen elder.
- Disability percentages are higher in Wiota at 27.0% compared to 22.0% in Glen elder.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wiota | Glen elder |
|---|---|---|
| No Schooling | 2.2% (2) | 0.6% (2) |
| High School Diploma | 35.2% (32) | 30.3% (110) |
| Less than High School | 4.4% (4) | 1.7% (6) |
| Bachelor's Degree and Higher | 9.9% (9) | 16.5% (60) |
Education Levels Comparison: Wiota vs Glen elder
- A higher percentage of residents in Wiota have no formal schooling at 2.2% compared to 0.6% in Glen elder.
- A higher percentage of residents in Wiota hold a high school diploma at 35.2% compared to 30.3% in Glen elder.
- More residents in Wiota have less than a high school education at 4.4% compared to 1.7% in Glen elder.
- In Glen elder, a larger share of residents have a bachelor's degree or higher at 16.5% compared to 9.9% in Wiota.
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.