Demographics details for Stuttgart, AR vs Kinston, NC
Population Overview
Compare main population characteristics in Stuttgart, AR vs Kinston, NC.
| Data | Stuttgart | Kinston |
|---|---|---|
| Population | 7,907 | 19,365 |
| Median Age | 37.8 years | 44.1 years |
| Median Income | $59,124 | $35,653 |
| Married Families | 39.0% | 23.0% |
| Poverty Level | 18% | 22% |
| Unemployment Rate | 4.2 | 5.1 |
Population Comparison: Stuttgart vs Kinston
- The population in Kinston is higher at 19,365, compared to 7,907 in Stuttgart.
- The median age in Kinston is higher at 44.1 years, compared to 37.8 years in Stuttgart.
- Stuttgart has a higher median income of $59,124 compared to $35,653 in Kinston.
- A higher percentage of married families is found in Stuttgart at 39.0% compared to 23.0% in Kinston.
- The poverty level is higher in Kinston at 22%, compared to 18% in Stuttgart.
- Kinston has a higher unemployment rate at 5.1% compared to 4.2% in Stuttgart.
Demographics
Demographics Stuttgart vs Kinston provide insight into the diversity of the communities to compare.
| Demographic | Stuttgart | Kinston |
|---|---|---|
| Black | 42 | 70 |
| White | 53 | 21 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 3 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Stuttgart vs Kinston
- In Kinston, the percentage of Black residents is higher at 70% compared to 42% in Stuttgart.
- Stuttgart has a higher percentage of White residents at 53% compared to 21% in Kinston.
- In Kinston, the Asian population stands at 1%, greater than 0% in Stuttgart.
- Kinston has a higher percentage of Hispanic residents at 3%, compared to 2% in Stuttgart.
- The percentage of residents identifying as two or more races is higher in Kinston at 5%, compared to 3% in Stuttgart.
- The percentage of American Indian residents is the same in both Stuttgart and Kinston at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Stuttgart | Kinston |
|---|---|---|
| Mental Health Not Good | 19.8% | 19.2% |
| Physical Health Not Good | 14.6% | 14.9% |
| Depression | 24.4% | 22.8% |
| Smoking | 23.1% | 24.2% |
| Binge Drinking | 13.6% | 13.6% |
| Obesity | 39.7% | 43.2% |
| Disability Percentage | 20.0% | 31.0% |
Health Statistics Comparison: Stuttgart vs Kinston
- More residents in Stuttgart report poor mental health at 19.8% compared to 19.2% in Kinston.
- Depression is more prevalent in Stuttgart at 24.4% compared to 22.8% in Kinston.
- Kinston has a higher smoking rate at 24.2% compared to 23.1% in Stuttgart.
- Binge drinking rates are similar in both Stuttgart and Kinston at 13.6%.
- Kinston has higher obesity rates at 43.2% compared to 39.7% in Stuttgart.
- There is a higher percentage of disabled individuals in Kinston at 31.0% compared to 20.0% in Stuttgart.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Stuttgart | Kinston |
|---|---|---|
| No Schooling | 0.8% (63) | 1.1% (211) |
| High School Diploma | 25.5% (2,015) | 20.1% (3,883) |
| Less than High School | 14.5% (1,144) | 16.6% (3,222) |
| Bachelor's Degree and Higher | 12.0% (948) | 10.3% (2,004) |
Education Levels Comparison: Stuttgart vs Kinston
- In Kinston, a larger percentage of residents lack formal schooling at 1.1% compared to 0.8% in Stuttgart.
- A higher percentage of residents in Stuttgart hold a high school diploma at 25.5% compared to 20.1% in Kinston.
- The percentage of residents with less than a high school education is higher in Kinston at 16.6%, compared to 14.5% in Stuttgart.
- A higher percentage of residents in Stuttgart hold a bachelor's degree or higher at 12.0% compared to 10.3% in Kinston.
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.