Demographics details for Pocahontas, AR vs Colbert, OK
Population Overview
Compare main population characteristics in Pocahontas, AR vs Colbert, OK.
Data | Pocahontas | Colbert |
---|---|---|
Population | 7,546 | 1,074 |
Median Age | 36.5 years | 43.9 years |
Median Income | $38,912 | $53,600 |
Married Families | 37.0% | 44.0% |
Poverty Level | 19% | 15% |
Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Pocahontas vs Colbert
- In Pocahontas, the population is higher at 7,546, compared to 1,074 in Colbert.
- The median age in Colbert is higher at 43.9 years, compared to 36.5 years in Pocahontas.
- Colbert has a higher median income of $53,600, compared to $38,912 in Pocahontas.
- In Colbert, the percentage of married families is higher at 44.0%, compared to 37.0% in Pocahontas.
- Pocahontas has a higher poverty level at 19% compared to 15% in Colbert.
- The unemployment rate in Pocahontas is higher at 4.5%, compared to 3.5% in Colbert.
Demographics
Demographics Pocahontas vs Colbert provide insight into the diversity of the communities to compare.
Demographic | Pocahontas | Colbert |
---|---|---|
Black | 1 | 12 |
White | 90 | 66 |
Asian | 1 | Data is updating |
Hispanic | 1 | 4 |
Two or More Races | 7 | 8 |
American Indian | Data is updating | 10 |
Demographics Comparison: Pocahontas vs Colbert
- In Colbert, the percentage of Black residents is higher at 12% compared to 1% in Pocahontas.
- Pocahontas has a higher percentage of White residents at 90% compared to 66% in Colbert.
- The Asian population is larger in Pocahontas at 1% compared to 0% in Colbert.
- Colbert has a higher percentage of Hispanic residents at 4%, compared to 1% in Pocahontas.
- The percentage of residents identifying as two or more races is higher in Colbert at 8%, compared to 7% in Pocahontas.
- In Colbert, the percentage of American Indian residents is higher at 10%, compared to 0% in Pocahontas.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pocahontas | Colbert |
---|---|---|
Mental Health Not Good | 22.0% | 19.1% |
Physical Health Not Good | 16.6% | 13.7% |
Depression | 29.9% | 25.5% |
Smoking | 27.1% | 21.6% |
Binge Drinking | 14.1% | 14.3% |
Obesity | 43.5% | 43.2% |
Disability Percentage | 22.0% | 26.0% |
Health Statistics Comparison: Pocahontas vs Colbert
- More residents in Pocahontas report poor mental health at 22.0% compared to 19.1% in Colbert.
- Depression is more prevalent in Pocahontas at 29.9% compared to 25.5% in Colbert.
- Smoking is more prevalent in Pocahontas at 27.1% compared to 21.6% in Colbert.
- More residents engage in binge drinking in Colbert at 14.3% compared to 14.1% in Pocahontas.
- Obesity rates are higher in Pocahontas at 43.5% compared to 43.2% in Colbert.
- There is a higher percentage of disabled individuals in Colbert at 26.0% compared to 22.0% in Pocahontas.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pocahontas | Colbert |
---|---|---|
No Schooling | 0.5% (40) | 0.5% (5) |
High School Diploma | 19.8% (1,491) | 33.7% (362) |
Less than High School | 15.7% (1,186) | 31.4% (337) |
Bachelor's Degree and Higher | 10.4% (782) | 16.8% (180) |
Education Levels Comparison: Pocahontas vs Colbert
- The percentage of residents with no formal schooling is the same in both Pocahontas and Colbert at 0.5%.
- In Colbert, the rate of residents with high school diplomas is higher at 33.7% compared to 19.8% in Pocahontas.
- The percentage of residents with less than a high school education is higher in Colbert at 31.4%, compared to 15.7% in Pocahontas.
- In Colbert, a larger share of residents have a bachelor's degree or higher at 16.8% 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.