Demographics details for Pell city, AL vs Stuttgart, AR
Population Overview
Compare main population characteristics in Pell city, AL vs Stuttgart, AR.
Data | Pell city | Stuttgart |
---|---|---|
Population | 13,638 | 7,907 |
Median Age | 38.7 years | 37.8 years |
Median Income | $71,027 | $59,124 |
Married Families | 43.0% | 39.0% |
Poverty Level | 12% | 18% |
Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Pell city vs Stuttgart
- In Pell city, the population is higher at 13,638, compared to 7,907 in Stuttgart.
- Residents in Pell city have a higher median age of 38.7 years compared to 37.8 years in Stuttgart.
- Pell city has a higher median income of $71,027 compared to $59,124 in Stuttgart.
- A higher percentage of married families is found in Pell city at 43.0% compared to 39.0% in Stuttgart.
- The poverty level is higher in Stuttgart at 18%, compared to 12% in Pell city.
- The unemployment rate in Pell city is higher at 4.5%, compared to 4.2% in Stuttgart.
Demographics
Demographics Pell city vs Stuttgart provide insight into the diversity of the communities to compare.
Demographic | Pell city | Stuttgart |
---|---|---|
Black | 17 | 42 |
White | 78 | 53 |
Asian | 2 | Data is updating |
Hispanic | 1 | 2 |
Two or More Races | 2 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pell city vs Stuttgart
- In Stuttgart, the percentage of Black residents is higher at 42% compared to 17% in Pell city.
- Pell city has a higher percentage of White residents at 78% compared to 53% in Stuttgart.
- The Asian population is larger in Pell city at 2% compared to 0% in Stuttgart.
- Stuttgart has a higher percentage of Hispanic residents at 2%, compared to 1% in Pell city.
- The percentage of residents identifying as two or more races is higher in Stuttgart at 3%, compared to 2% in Pell city.
- The percentage of American Indian residents is the same in both Pell city and Stuttgart at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pell city | Stuttgart |
---|---|---|
Mental Health Not Good | 19.6% | 19.8% |
Physical Health Not Good | 13.2% | 14.6% |
Depression | 24.7% | 24.4% |
Smoking | 20.1% | 23.1% |
Binge Drinking | 14.6% | 13.6% |
Obesity | 41.0% | 39.7% |
Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Pell city vs Stuttgart
- In Stuttgart, a higher percentage report poor mental health at 19.8% compared to 19.6% in Pell city.
- Depression is more prevalent in Pell city at 24.7% compared to 24.4% in Stuttgart.
- Stuttgart has a higher smoking rate at 23.1% compared to 20.1% in Pell city.
- Binge drinking is more common in Pell city at 14.6% compared to 13.6% in Stuttgart.
- Obesity rates are higher in Pell city at 41.0% compared to 39.7% in Stuttgart.
- There is a higher percentage of disabled individuals in Stuttgart at 20.0% compared to 14.0% in Pell city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pell city | Stuttgart |
---|---|---|
No Schooling | 0.8% (109) | 0.8% (63) |
High School Diploma | 18.9% (2,574) | 25.5% (2,015) |
Less than High School | 12.9% (1,759) | 14.5% (1,144) |
Bachelor's Degree and Higher | 13.9% (1,899) | 12.0% (948) |
Education Levels Comparison: Pell city vs Stuttgart
- The percentage of residents with no formal schooling is the same in both Pell city and Stuttgart at 0.8%.
- In Stuttgart, the rate of residents with high school diplomas is higher at 25.5% compared to 18.9% in Pell city.
- The percentage of residents with less than a high school education is higher in Stuttgart at 14.5%, compared to 12.9% in Pell city.
- A higher percentage of residents in Pell city hold a bachelor's degree or higher at 13.9% compared to 12.0% in Stuttgart.
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.