Demographics details for Pocahontas, AR vs Kerman, CA
Population Overview
Compare main population characteristics in Pocahontas, AR vs Kerman, CA.
| Data | Pocahontas | Kerman |
|---|---|---|
| Population | 7,546 | 16,208 |
| Median Age | 36.5 years | 27.8 years |
| Median Income | $38,912 | $53,956 |
| Married Families | 37.0% | 32.0% |
| Poverty Level | 19% | 12% |
| Unemployment Rate | 4.5 | 5.5 |
Population Comparison: Pocahontas vs Kerman
- The population in Kerman is higher at 16,208, compared to 7,546 in Pocahontas.
- Residents in Pocahontas have a higher median age of 36.5 years compared to 27.8 years in Kerman.
- Kerman has a higher median income of $53,956, compared to $38,912 in Pocahontas.
- A higher percentage of married families is found in Pocahontas at 37.0% compared to 32.0% in Kerman.
- Pocahontas has a higher poverty level at 19% compared to 12% in Kerman.
- Kerman has a higher unemployment rate at 5.5% compared to 4.5% in Pocahontas.
Demographics
Demographics Pocahontas vs Kerman provide insight into the diversity of the communities to compare.
| Demographic | Pocahontas | Kerman |
|---|---|---|
| Black | 1 | Data is updating |
| White | 90 | -12 |
| Asian | 1 | 7 |
| Hispanic | 1 | 81 |
| Two or More Races | 7 | 22 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Pocahontas vs Kerman
- A higher percentage of Black residents are in Pocahontas at 1% compared to 0% in Kerman.
- Pocahontas has a higher percentage of White residents at 90% compared to -12% in Kerman.
- In Kerman, the Asian population stands at 7%, greater than 1% in Pocahontas.
- Kerman has a higher percentage of Hispanic residents at 81%, compared to 1% in Pocahontas.
- The percentage of residents identifying as two or more races is higher in Kerman at 22%, compared to 7% in Pocahontas.
- In Kerman, the percentage of American Indian residents is higher at 2%, compared to 0% in Pocahontas.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pocahontas | Kerman |
|---|---|---|
| Mental Health Not Good | 22.0% | 18.7% |
| Physical Health Not Good | 16.6% | 15.8% |
| Depression | 29.9% | 18.0% |
| Smoking | 27.1% | 17.3% |
| Binge Drinking | 14.1% | 13.1% |
| Obesity | 43.5% | 39.5% |
| Disability Percentage | 22.0% | 11.0% |
Health Statistics Comparison: Pocahontas vs Kerman
- More residents in Pocahontas report poor mental health at 22.0% compared to 18.7% in Kerman.
- Depression is more prevalent in Pocahontas at 29.9% compared to 18.0% in Kerman.
- Smoking is more prevalent in Pocahontas at 27.1% compared to 17.3% in Kerman.
- Binge drinking is more common in Pocahontas at 14.1% compared to 13.1% in Kerman.
- Obesity rates are higher in Pocahontas at 43.5% compared to 39.5% in Kerman.
- Disability percentages are higher in Pocahontas at 22.0% compared to 11.0% in Kerman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pocahontas | Kerman |
|---|---|---|
| No Schooling | 0.5% (40) | 4.3% (694) |
| High School Diploma | 19.8% (1,491) | 10.4% (1,690) |
| Less than High School | 15.7% (1,186) | 45.2% (7,334) |
| Bachelor's Degree and Higher | 10.4% (782) | 7.3% (1,177) |
Education Levels Comparison: Pocahontas vs Kerman
- In Kerman, a larger percentage of residents lack formal schooling at 4.3% compared to 0.5% in Pocahontas.
- A higher percentage of residents in Pocahontas hold a high school diploma at 19.8% compared to 10.4% in Kerman.
- The percentage of residents with less than a high school education is higher in Kerman at 45.2%, compared to 15.7% in Pocahontas.
- A higher percentage of residents in Pocahontas hold a bachelor's degree or higher at 10.4% compared to 7.3% in Kerman.
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.