Demographics details for Broken bow, NE vs Greensburg, PA
Population Overview
Compare main population characteristics in Broken bow, NE vs Greensburg, PA.
| Data | Broken bow | Greensburg |
|---|---|---|
| Population | 3,474 | 14,715 |
| Median Age | 41.4 years | 36.9 years |
| Median Income | $49,425 | $58,001 |
| Married Families | 40.0% | 34.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 2.5 | 4.1 |
Population Comparison: Broken bow vs Greensburg
- The population in Greensburg is higher at 14,715, compared to 3,474 in Broken bow.
- Residents in Broken bow have a higher median age of 41.4 years compared to 36.9 years in Greensburg.
- Greensburg has a higher median income of $58,001, compared to $49,425 in Broken bow.
- A higher percentage of married families is found in Broken bow at 40.0% compared to 34.0% in Greensburg.
- The poverty level is higher in Greensburg at 12%, compared to 11% in Broken bow.
- Greensburg has a higher unemployment rate at 4.1% compared to 2.5% in Broken bow.
Demographics
Demographics Broken bow vs Greensburg provide insight into the diversity of the communities to compare.
| Demographic | Broken bow | Greensburg |
|---|---|---|
| Black | 2 | 3 |
| White | 88 | 91 |
| Asian | Data is updating | 1 |
| Hispanic | 6 | 1 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Broken bow vs Greensburg
- In Greensburg, the percentage of Black residents is higher at 3% compared to 2% in Broken bow.
- The percentage of White residents is higher in Greensburg at 91% compared to 88% in Broken bow.
- In Greensburg, the Asian population stands at 1%, greater than 0% in Broken bow.
- The Hispanic community is larger in Broken bow at 6% compared to 1% in Greensburg.
- Both Broken bow and Greensburg have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Broken bow and Greensburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Broken bow | Greensburg |
|---|---|---|
| Mental Health Not Good | 14.2% | 17.9% |
| Physical Health Not Good | 10.0% | 12.4% |
| Depression | 17.1% | 22.9% |
| Smoking | 16.3% | 18.4% |
| Binge Drinking | 20.7% | 18.3% |
| Obesity | 38.2% | 34.2% |
| Disability Percentage | 19.0% | 16.0% |
Health Statistics Comparison: Broken bow vs Greensburg
- In Greensburg, a higher percentage report poor mental health at 17.9% compared to 14.2% in Broken bow.
- Higher depression rates are seen in Greensburg at 22.9% versus 17.1% in Broken bow.
- Greensburg has a higher smoking rate at 18.4% compared to 16.3% in Broken bow.
- Binge drinking is more common in Broken bow at 20.7% compared to 18.3% in Greensburg.
- Obesity rates are higher in Broken bow at 38.2% compared to 34.2% in Greensburg.
- Disability percentages are higher in Broken bow at 19.0% compared to 16.0% in Greensburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Broken bow | Greensburg |
|---|---|---|
| No Schooling | 1.2% (42) | 0.1% (16) |
| High School Diploma | 19.8% (689) | 17.0% (2,502) |
| Less than High School | 7.3% (253) | 5.1% (745) |
| Bachelor's Degree and Higher | 14.7% (512) | 26.9% (3,965) |
Education Levels Comparison: Broken bow vs Greensburg
- A higher percentage of residents in Broken bow have no formal schooling at 1.2% compared to 0.1% in Greensburg.
- A higher percentage of residents in Broken bow hold a high school diploma at 19.8% compared to 17.0% in Greensburg.
- More residents in Broken bow have less than a high school education at 7.3% compared to 5.1% in Greensburg.
- In Greensburg, a larger share of residents have a bachelor's degree or higher at 26.9% 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.