Demographics details for Pocahontas, AR vs Kaufman, TX
Population Overview
Compare main population characteristics in Pocahontas, AR vs Kaufman, TX.
| Data | Pocahontas | Kaufman |
|---|---|---|
| Population | 7,546 | 172,366 |
| Median Age | 36.5 years | 34.6 years |
| Median Income | $38,912 | $84,075 |
| Married Families | 37.0% | 36.0% |
| Poverty Level | 19% | 10% |
| Unemployment Rate | 4.5 | 4.8 |
Population Comparison: Pocahontas vs Kaufman
- The population in Kaufman is higher at 172,366, compared to 7,546 in Pocahontas.
- Residents in Pocahontas have a higher median age of 36.5 years compared to 34.6 years in Kaufman.
- Kaufman has a higher median income of $84,075, compared to $38,912 in Pocahontas.
- A higher percentage of married families is found in Pocahontas at 37.0% compared to 36.0% in Kaufman.
- Pocahontas has a higher poverty level at 19% compared to 10% in Kaufman.
- Kaufman has a higher unemployment rate at 4.8% compared to 4.5% in Pocahontas.
Demographics
Demographics Pocahontas vs Kaufman provide insight into the diversity of the communities to compare.
| Demographic | Pocahontas | Kaufman |
|---|---|---|
| Black | 1 | 13 |
| White | 90 | 53 |
| Asian | 1 | 1 |
| Hispanic | 1 | 22 |
| Two or More Races | 7 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pocahontas vs Kaufman
- In Kaufman, the percentage of Black residents is higher at 13% compared to 1% in Pocahontas.
- Pocahontas has a higher percentage of White residents at 90% compared to 53% in Kaufman.
- Both Pocahontas and Kaufman have the same percentage of Asian residents at 1%.
- Kaufman has a higher percentage of Hispanic residents at 22%, compared to 1% in Pocahontas.
- The percentage of residents identifying as two or more races is higher in Kaufman at 11%, compared to 7% in Pocahontas.
- The percentage of American Indian residents is the same in both Pocahontas and Kaufman at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pocahontas | Kaufman |
|---|---|---|
| Mental Health Not Good | 22.0% | 16.8% |
| Physical Health Not Good | 16.6% | 11.4% |
| Depression | 29.9% | 22.6% |
| Smoking | 27.1% | 16.1% |
| Binge Drinking | 14.1% | 18.2% |
| Obesity | 43.5% | 36.6% |
| Disability Percentage | 22.0% | 9.0% |
Health Statistics Comparison: Pocahontas vs Kaufman
- More residents in Pocahontas report poor mental health at 22.0% compared to 16.8% in Kaufman.
- Depression is more prevalent in Pocahontas at 29.9% compared to 22.6% in Kaufman.
- Smoking is more prevalent in Pocahontas at 27.1% compared to 16.1% in Kaufman.
- More residents engage in binge drinking in Kaufman at 18.2% compared to 14.1% in Pocahontas.
- Obesity rates are higher in Pocahontas at 43.5% compared to 36.6% in Kaufman.
- Disability percentages are higher in Pocahontas at 22.0% compared to 9.0% in Kaufman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pocahontas | Kaufman |
|---|---|---|
| No Schooling | 0.5% (40) | 1.4% (2,482) |
| High School Diploma | 19.8% (1,491) | 12.9% (22,235) |
| Less than High School | 15.7% (1,186) | 14.2% (24,496) |
| Bachelor's Degree and Higher | 10.4% (782) | 13.1% (22,541) |
Education Levels Comparison: Pocahontas vs Kaufman
- In Kaufman, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Pocahontas.
- A higher percentage of residents in Pocahontas hold a high school diploma at 19.8% compared to 12.9% in Kaufman.
- More residents in Pocahontas have less than a high school education at 15.7% compared to 14.2% in Kaufman.
- In Kaufman, a larger share of residents have a bachelor's degree or higher at 13.1% compared to 10.4% in Pocahontas.
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.