Demographics details for Broken bow, NE vs Glen elder, KS
Population Overview
Compare main population characteristics in Broken bow, NE vs Glen elder, KS.
| Data | Broken bow | Glen elder |
|---|---|---|
| Population | 3,474 | 363 |
| Median Age | 41.4 years | 42.7 years |
| Median Income | $49,425 | $65,417 |
| Married Families | 40.0% | 80.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 2.5 | 3.0 |
Population Comparison: Broken bow vs Glen elder
- In Broken bow, the population is higher at 3,474, compared to 363 in Glen elder.
- The median age in Glen elder is higher at 42.7 years, compared to 41.4 years in Broken bow.
- Glen elder has a higher median income of $65,417, compared to $49,425 in Broken bow.
- In Glen elder, the percentage of married families is higher at 80.0%, compared to 40.0% in Broken bow.
- Broken bow has a higher poverty level at 11% compared to 10% in Glen elder.
- Glen elder has a higher unemployment rate at 3.0% compared to 2.5% in Broken bow.
Demographics
Demographics Broken bow vs Glen elder provide insight into the diversity of the communities to compare.
| Demographic | Broken bow | Glen elder |
|---|---|---|
| Black | 2 | Data is updating |
| White | 88 | 86 |
| Asian | Data is updating | 2 |
| Hispanic | 6 | 7 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Broken bow vs Glen elder
- A higher percentage of Black residents are in Broken bow at 2% compared to 0% in Glen elder.
- Broken bow has a higher percentage of White residents at 88% compared to 86% in Glen elder.
- In Glen elder, the Asian population stands at 2%, greater than 0% in Broken bow.
- Glen elder has a higher percentage of Hispanic residents at 7%, compared to 6% in Broken bow.
- The percentage of residents identifying as two or more races is higher in Glen elder at 5%, compared to 4% in Broken bow.
- The percentage of American Indian residents is the same in both Broken bow and Glen elder at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Broken bow | Glen elder |
|---|---|---|
| Mental Health Not Good | 14.2% | 15.8% |
| Physical Health Not Good | 10.0% | 10.2% |
| Depression | 17.1% | 21.3% |
| Smoking | 16.3% | 17.7% |
| Binge Drinking | 20.7% | 19.5% |
| Obesity | 38.2% | 38.5% |
| Disability Percentage | 19.0% | 22.0% |
Health Statistics Comparison: Broken bow vs Glen elder
- In Glen elder, a higher percentage report poor mental health at 15.8% compared to 14.2% in Broken bow.
- Higher depression rates are seen in Glen elder at 21.3% versus 17.1% in Broken bow.
- Glen elder has a higher smoking rate at 17.7% compared to 16.3% in Broken bow.
- Binge drinking is more common in Broken bow at 20.7% compared to 19.5% in Glen elder.
- Glen elder has higher obesity rates at 38.5% compared to 38.2% in Broken bow.
- There is a higher percentage of disabled individuals in Glen elder at 22.0% compared to 19.0% in Broken bow.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Broken bow | Glen elder |
|---|---|---|
| No Schooling | 1.2% (42) | 0.6% (2) |
| High School Diploma | 19.8% (689) | 30.3% (110) |
| Less than High School | 7.3% (253) | 1.7% (6) |
| Bachelor's Degree and Higher | 14.7% (512) | 16.5% (60) |
Education Levels Comparison: Broken bow vs Glen elder
- A higher percentage of residents in Broken bow have no formal schooling at 1.2% compared to 0.6% in Glen elder.
- In Glen elder, the rate of residents with high school diplomas is higher at 30.3% compared to 19.8% in Broken bow.
- More residents in Broken bow have less than a high school education at 7.3% 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 14.7% in Broken bow.
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.