Demographics details for Tionesta, PA vs Broken bow, NE
Population Overview
Compare main population characteristics in Tionesta, PA vs Broken bow, NE.
Data | Tionesta | Broken bow |
---|---|---|
Population | 422 | 3,474 |
Median Age | 62.2 years | 41.4 years |
Median Income | $44,583 | $49,425 |
Married Families | 38.0% | 40.0% |
Poverty Level | 10% | 11% |
Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Tionesta vs Broken bow
- The population in Broken bow is higher at 3,474, compared to 422 in Tionesta.
- Residents in Tionesta have a higher median age of 62.2 years compared to 41.4 years in Broken bow.
- Broken bow has a higher median income of $49,425, compared to $44,583 in Tionesta.
- In Broken bow, the percentage of married families is higher at 40.0%, compared to 38.0% in Tionesta.
- The poverty level is higher in Broken bow at 11%, compared to 10% in Tionesta.
- The unemployment rate in Tionesta is higher at 3.5%, compared to 2.5% in Broken bow.
Demographics
Demographics Tionesta vs Broken bow provide insight into the diversity of the communities to compare.
Demographic | Tionesta | Broken bow |
---|---|---|
Black | Data is updating | 2 |
White | 100 | 88 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 6 |
Two or More Races | Data is updating | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Tionesta vs Broken bow
- In Broken bow, the percentage of Black residents is higher at 2% compared to 0% in Tionesta.
- Tionesta has a higher percentage of White residents at 100% compared to 88% in Broken bow.
- Both Tionesta and Broken bow have the same percentage of Asian residents at 0%.
- Broken bow has a higher percentage of Hispanic residents at 6%, compared to 0% in Tionesta.
- The percentage of residents identifying as two or more races is higher in Broken bow at 4%, compared to 0% in Tionesta.
- The percentage of American Indian residents is the same in both Tionesta and Broken bow at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Tionesta | Broken bow |
---|---|---|
Mental Health Not Good | 18.8% | 14.2% |
Physical Health Not Good | 13.2% | 10.0% |
Depression | 25.3% | 17.1% |
Smoking | 22.7% | 16.3% |
Binge Drinking | 17.4% | 20.7% |
Obesity | 37.8% | 38.2% |
Disability Percentage | 37.0% | 19.0% |
Health Statistics Comparison: Tionesta vs Broken bow
- More residents in Tionesta report poor mental health at 18.8% compared to 14.2% in Broken bow.
- Depression is more prevalent in Tionesta at 25.3% compared to 17.1% in Broken bow.
- Smoking is more prevalent in Tionesta at 22.7% compared to 16.3% in Broken bow.
- More residents engage in binge drinking in Broken bow at 20.7% compared to 17.4% in Tionesta.
- Broken bow has higher obesity rates at 38.2% compared to 37.8% in Tionesta.
- Disability percentages are higher in Tionesta at 37.0% 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 | Tionesta | Broken bow |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.2% (42) |
High School Diploma | 43.1% (182) | 19.8% (689) |
Less than High School | 7.1% (30) | 7.3% (253) |
Bachelor's Degree and Higher | 11.1% (47) | 14.7% (512) |
Education Levels Comparison: Tionesta vs Broken bow
- In Broken bow, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Tionesta.
- A higher percentage of residents in Tionesta hold a high school diploma at 43.1% compared to 19.8% in Broken bow.
- The percentage of residents with less than a high school education is higher in Broken bow at 7.3%, compared to 7.1% in Tionesta.
- In Broken bow, a larger share of residents have a bachelor's degree or higher at 14.7% compared to 11.1% in Tionesta.
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.