Demographics details for Broken bow, NE vs Tylertown, MS
Population Overview
Compare main population characteristics in Broken bow, NE vs Tylertown, MS.
| Data | Broken bow | Tylertown |
|---|---|---|
| Population | 3,474 | 1,467 |
| Median Age | 41.4 years | 33.9 years |
| Median Income | $49,425 | $32,019 |
| Married Families | 40.0% | 40.0% |
| Poverty Level | 11% | 20% |
| Unemployment Rate | 2.5 | 5.2 |
Population Comparison: Broken bow vs Tylertown
- In Broken bow, the population is higher at 3,474, compared to 1,467 in Tylertown.
- Residents in Broken bow have a higher median age of 41.4 years compared to 33.9 years in Tylertown.
- Broken bow has a higher median income of $49,425 compared to $32,019 in Tylertown.
- The percentage of married families is the same in both Broken bow and Tylertown at 40.0%.
- The poverty level is higher in Tylertown at 20%, compared to 11% in Broken bow.
- Tylertown has a higher unemployment rate at 5.2% compared to 2.5% in Broken bow.
Demographics
Demographics Broken bow vs Tylertown provide insight into the diversity of the communities to compare.
| Demographic | Broken bow | Tylertown |
|---|---|---|
| Black | 2 | 50 |
| White | 88 | 27 |
| Asian | Data is updating | 2 |
| Hispanic | 6 | 17 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Broken bow vs Tylertown
- In Tylertown, the percentage of Black residents is higher at 50% compared to 2% in Broken bow.
- Broken bow has a higher percentage of White residents at 88% compared to 27% in Tylertown.
- In Tylertown, the Asian population stands at 2%, greater than 0% in Broken bow.
- Tylertown has a higher percentage of Hispanic residents at 17%, compared to 6% in Broken bow.
- Both Broken bow and Tylertown 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 Tylertown at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Broken bow | Tylertown |
|---|---|---|
| Mental Health Not Good | 14.2% | 18.3% |
| Physical Health Not Good | 10.0% | 14.2% |
| Depression | 17.1% | 22.0% |
| Smoking | 16.3% | 23.1% |
| Binge Drinking | 20.7% | 12.7% |
| Obesity | 38.2% | 44.0% |
| Disability Percentage | 19.0% | 32.0% |
Health Statistics Comparison: Broken bow vs Tylertown
- In Tylertown, a higher percentage report poor mental health at 18.3% compared to 14.2% in Broken bow.
- Higher depression rates are seen in Tylertown at 22.0% versus 17.1% in Broken bow.
- Tylertown has a higher smoking rate at 23.1% compared to 16.3% in Broken bow.
- Binge drinking is more common in Broken bow at 20.7% compared to 12.7% in Tylertown.
- Tylertown has higher obesity rates at 44.0% compared to 38.2% in Broken bow.
- There is a higher percentage of disabled individuals in Tylertown at 32.0% 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 | Tylertown |
|---|---|---|
| No Schooling | 1.2% (42) | 9.7% (142) |
| High School Diploma | 19.8% (689) | 20.2% (296) |
| Less than High School | 7.3% (253) | 27.8% (408) |
| Bachelor's Degree and Higher | 14.7% (512) | 21.0% (308) |
Education Levels Comparison: Broken bow vs Tylertown
- In Tylertown, a larger percentage of residents lack formal schooling at 9.7% compared to 1.2% in Broken bow.
- In Tylertown, the rate of residents with high school diplomas is higher at 20.2% compared to 19.8% in Broken bow.
- The percentage of residents with less than a high school education is higher in Tylertown at 27.8%, compared to 7.3% in Broken bow.
- In Tylertown, a larger share of residents have a bachelor's degree or higher at 21.0% 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.