Demographics details for Stuttgart, AR vs Springfield, OR
Population Overview
Compare main population characteristics in Stuttgart, AR vs Springfield, OR.
Data | Stuttgart | Springfield |
---|---|---|
Population | 7,907 | 61,400 |
Median Age | 37.8 years | 37.3 years |
Median Income | $59,124 | $60,982 |
Married Families | 39.0% | 36.0% |
Poverty Level | 18% | 10% |
Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Stuttgart vs Springfield
- The population in Springfield is higher at 61,400, compared to 7,907 in Stuttgart.
- Residents in Stuttgart have a higher median age of 37.8 years compared to 37.3 years in Springfield.
- Springfield has a higher median income of $60,982, compared to $59,124 in Stuttgart.
- A higher percentage of married families is found in Stuttgart at 39.0% compared to 36.0% in Springfield.
- Stuttgart has a higher poverty level at 18% compared to 10% in Springfield.
- The unemployment rate in Stuttgart is higher at 4.2%, compared to 4.1% in Springfield.
Demographics
Demographics Stuttgart vs Springfield provide insight into the diversity of the communities to compare.
Demographic | Stuttgart | Springfield |
---|---|---|
Black | 42 | 1 |
White | 53 | 73 |
Asian | Data is updating | 2 |
Hispanic | 2 | 14 |
Two or More Races | 3 | 9 |
American Indian | Data is updating | 1 |
Demographics Comparison: Stuttgart vs Springfield
- A higher percentage of Black residents are in Stuttgart at 42% compared to 1% in Springfield.
- The percentage of White residents is higher in Springfield at 73% compared to 53% in Stuttgart.
- In Springfield, the Asian population stands at 2%, greater than 0% in Stuttgart.
- Springfield has a higher percentage of Hispanic residents at 14%, compared to 2% in Stuttgart.
- The percentage of residents identifying as two or more races is higher in Springfield at 9%, compared to 3% in Stuttgart.
- In Springfield, the percentage of American Indian residents is higher at 1%, compared to 0% in Stuttgart.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Stuttgart | Springfield |
---|---|---|
Mental Health Not Good | 19.8% | 19.8% |
Physical Health Not Good | 14.6% | 13.3% |
Depression | 24.4% | 28.9% |
Smoking | 23.1% | 16.8% |
Binge Drinking | 13.6% | 16.9% |
Obesity | 39.7% | 36.4% |
Disability Percentage | 20.0% | 20.0% |
Health Statistics Comparison: Stuttgart vs Springfield
- Poor mental health levels are equal in both Stuttgart and Springfield at 19.8%.
- Higher depression rates are seen in Springfield at 28.9% versus 24.4% in Stuttgart.
- Smoking is more prevalent in Stuttgart at 23.1% compared to 16.8% in Springfield.
- More residents engage in binge drinking in Springfield at 16.9% compared to 13.6% in Stuttgart.
- Obesity rates are higher in Stuttgart at 39.7% compared to 36.4% in Springfield.
- Disability percentages are the same in both Stuttgart and Springfield at 20.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Stuttgart | Springfield |
---|---|---|
No Schooling | 0.8% (63) | 0.9% (528) |
High School Diploma | 25.5% (2,015) | 14.9% (9,128) |
Less than High School | 14.5% (1,144) | 14.4% (8,821) |
Bachelor's Degree and Higher | 12.0% (948) | 14.2% (8,749) |
Education Levels Comparison: Stuttgart vs Springfield
- In Springfield, a larger percentage of residents lack formal schooling at 0.9% compared to 0.8% in Stuttgart.
- A higher percentage of residents in Stuttgart hold a high school diploma at 25.5% compared to 14.9% in Springfield.
- More residents in Stuttgart have less than a high school education at 14.5% compared to 14.4% in Springfield.
- In Springfield, a larger share of residents have a bachelor's degree or higher at 14.2% 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.