Demographics details for Springfield, IL vs Graham, NC
Population Overview
Compare main population characteristics in Springfield, IL vs Graham, NC.
Data | Springfield | Graham |
---|---|---|
Population | 113,273 | 17,856 |
Median Age | 40.1 years | 36.8 years |
Median Income | $62,419 | $51,482 |
Married Families | 33.0% | 34.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 5.8 | 4.5 |
Population Comparison: Springfield vs Graham
- In Springfield, the population is higher at 113,273, compared to 17,856 in Graham.
- Residents in Springfield have a higher median age of 40.1 years compared to 36.8 years in Graham.
- Springfield has a higher median income of $62,419 compared to $51,482 in Graham.
- In Graham, the percentage of married families is higher at 34.0%, compared to 33.0% in Springfield.
- Springfield has a higher poverty level at 12% compared to 10% in Graham.
- The unemployment rate in Springfield is higher at 5.8%, compared to 4.5% in Graham.
Demographics
Demographics Springfield vs Graham provide insight into the diversity of the communities to compare.
Demographic | Springfield | Graham |
---|---|---|
Black | 20 | 23 |
White | 69 | 51 |
Asian | 3 | 1 |
Hispanic | 3 | 17 |
Two or More Races | 5 | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Springfield vs Graham
- In Graham, the percentage of Black residents is higher at 23% compared to 20% in Springfield.
- Springfield has a higher percentage of White residents at 69% compared to 51% in Graham.
- The Asian population is larger in Springfield at 3% compared to 1% in Graham.
- Graham has a higher percentage of Hispanic residents at 17%, compared to 3% in Springfield.
- The percentage of residents identifying as two or more races is higher in Graham at 8%, compared to 5% in Springfield.
- The percentage of American Indian residents is the same in both Springfield and Graham at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Springfield | Graham |
---|---|---|
Mental Health Not Good | 16.3% | 18.3% |
Physical Health Not Good | 11.5% | 13.2% |
Depression | 21.5% | 25.2% |
Smoking | 17.8% | 20.5% |
Binge Drinking | 17.4% | 15.9% |
Obesity | 36.1% | 38.9% |
Disability Percentage | 15.0% | 14.0% |
Health Statistics Comparison: Springfield vs Graham
- In Graham, a higher percentage report poor mental health at 18.3% compared to 16.3% in Springfield.
- Higher depression rates are seen in Graham at 25.2% versus 21.5% in Springfield.
- Graham has a higher smoking rate at 20.5% compared to 17.8% in Springfield.
- Binge drinking is more common in Springfield at 17.4% compared to 15.9% in Graham.
- Graham has higher obesity rates at 38.9% compared to 36.1% in Springfield.
- Disability percentages are higher in Springfield at 15.0% compared to 14.0% in Graham.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Springfield | Graham |
---|---|---|
No Schooling | 0.5% (542) | 1.3% (227) |
High School Diploma | 16.4% (18,528) | 16.7% (2,976) |
Less than High School | 8.9% (10,102) | 16.2% (2,884) |
Bachelor's Degree and Higher | 24.4% (27,677) | 14.6% (2,610) |
Education Levels Comparison: Springfield vs Graham
- In Graham, a larger percentage of residents lack formal schooling at 1.3% compared to 0.5% in Springfield.
- In Graham, the rate of residents with high school diplomas is higher at 16.7% compared to 16.4% in Springfield.
- The percentage of residents with less than a high school education is higher in Graham at 16.2%, compared to 8.9% in Springfield.
- A higher percentage of residents in Springfield hold a bachelor's degree or higher at 24.4% compared to 14.6% in Graham.
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.