Demographics details for Bogata, TX vs Trumann, AR
Population Overview
Compare main population characteristics in Bogata, TX vs Trumann, AR.
| Data | Bogata | Trumann |
|---|---|---|
| Population | 1,087 | 7,305 |
| Median Age | 43.3 years | 40.0 years |
| Median Income | $34,375 | $37,618 |
| Married Families | 32.0% | 35.0% |
| Poverty Level | 17% | 13% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Bogata vs Trumann
- The population in Trumann is higher at 7,305, compared to 1,087 in Bogata.
- Residents in Bogata have a higher median age of 43.3 years compared to 40.0 years in Trumann.
- Trumann has a higher median income of $37,618, compared to $34,375 in Bogata.
- In Trumann, the percentage of married families is higher at 35.0%, compared to 32.0% in Bogata.
- Bogata has a higher poverty level at 17% compared to 13% in Trumann.
- The unemployment rate in Bogata is higher at 4.5%, compared to 4.2% in Trumann.
Demographics
Demographics Bogata vs Trumann provide insight into the diversity of the communities to compare.
| Demographic | Bogata | Trumann |
|---|---|---|
| Black | Data is updating | 5 |
| White | 85 | 84 |
| Asian | 3 | Data is updating |
| Hispanic | 10 | 3 |
| Two or More Races | 2 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bogata vs Trumann
- In Trumann, the percentage of Black residents is higher at 5% compared to 0% in Bogata.
- Bogata has a higher percentage of White residents at 85% compared to 84% in Trumann.
- The Asian population is larger in Bogata at 3% compared to 0% in Trumann.
- The Hispanic community is larger in Bogata at 10% compared to 3% in Trumann.
- The percentage of residents identifying as two or more races is higher in Trumann at 8%, compared to 2% in Bogata.
- The percentage of American Indian residents is the same in both Bogata and Trumann at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bogata | Trumann |
|---|---|---|
| Mental Health Not Good | 20.7% | 20.8% |
| Physical Health Not Good | 14.3% | 15.2% |
| Depression | 27.9% | 28.5% |
| Smoking | 23.3% | 25.0% |
| Binge Drinking | 18.0% | 14.4% |
| Obesity | 37.4% | 44.6% |
| Disability Percentage | 19.0% | 24.0% |
Health Statistics Comparison: Bogata vs Trumann
- In Trumann, a higher percentage report poor mental health at 20.8% compared to 20.7% in Bogata.
- Higher depression rates are seen in Trumann at 28.5% versus 27.9% in Bogata.
- Trumann has a higher smoking rate at 25.0% compared to 23.3% in Bogata.
- Binge drinking is more common in Bogata at 18.0% compared to 14.4% in Trumann.
- Trumann has higher obesity rates at 44.6% compared to 37.4% in Bogata.
- There is a higher percentage of disabled individuals in Trumann at 24.0% compared to 19.0% in Bogata.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bogata | Trumann |
|---|---|---|
| No Schooling | 1.6% (17) | 1.8% (135) |
| High School Diploma | 21.4% (233) | 25.9% (1,895) |
| Less than High School | 31.4% (341) | 24.4% (1,780) |
| Bachelor's Degree and Higher | 8.4% (91) | 6.7% (487) |
Education Levels Comparison: Bogata vs Trumann
- In Trumann, a larger percentage of residents lack formal schooling at 1.8% compared to 1.6% in Bogata.
- In Trumann, the rate of residents with high school diplomas is higher at 25.9% compared to 21.4% in Bogata.
- More residents in Bogata have less than a high school education at 31.4% compared to 24.4% in Trumann.
- A higher percentage of residents in Bogata hold a bachelor's degree or higher at 8.4% compared to 6.7% in Trumann.
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.