Demographics details for Springfield, OR vs Marshall, AR
Population Overview
Compare main population characteristics in Springfield, OR vs Marshall, AR.
Data | Springfield | Marshall |
---|---|---|
Population | 61,400 | 1,339 |
Median Age | 37.3 years | 52.3 years |
Median Income | $60,982 | $28,290 |
Married Families | 36.0% | 33.0% |
Poverty Level | 10% | 16% |
Unemployment Rate | 4.1 | 4.2 |
Population Comparison: Springfield vs Marshall
- In Springfield, the population is higher at 61,400, compared to 1,339 in Marshall.
- The median age in Marshall is higher at 52.3 years, compared to 37.3 years in Springfield.
- Springfield has a higher median income of $60,982 compared to $28,290 in Marshall.
- A higher percentage of married families is found in Springfield at 36.0% compared to 33.0% in Marshall.
- The poverty level is higher in Marshall at 16%, compared to 10% in Springfield.
- Marshall has a higher unemployment rate at 4.2% compared to 4.1% in Springfield.
Demographics
Demographics Springfield vs Marshall provide insight into the diversity of the communities to compare.
Demographic | Springfield | Marshall |
---|---|---|
Black | 1 | Data is updating |
White | 73 | 84 |
Asian | 2 | Data is updating |
Hispanic | 14 | 3 |
Two or More Races | 9 | 12 |
American Indian | 1 | 1 |
Demographics Comparison: Springfield vs Marshall
- A higher percentage of Black residents are in Springfield at 1% compared to 0% in Marshall.
- The percentage of White residents is higher in Marshall at 84% compared to 73% in Springfield.
- The Asian population is larger in Springfield at 2% compared to 0% in Marshall.
- The Hispanic community is larger in Springfield at 14% compared to 3% in Marshall.
- The percentage of residents identifying as two or more races is higher in Marshall at 12%, compared to 9% in Springfield.
- The percentage of American Indian residents is the same in both Springfield and Marshall at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Springfield | Marshall |
---|---|---|
Mental Health Not Good | 19.8% | 21.7% |
Physical Health Not Good | 13.3% | 16.2% |
Depression | 28.9% | 29.8% |
Smoking | 16.8% | 27.2% |
Binge Drinking | 16.9% | 14.7% |
Obesity | 36.4% | 39.2% |
Disability Percentage | 20.0% | 30.0% |
Health Statistics Comparison: Springfield vs Marshall
- In Marshall, a higher percentage report poor mental health at 21.7% compared to 19.8% in Springfield.
- Higher depression rates are seen in Marshall at 29.8% versus 28.9% in Springfield.
- Marshall has a higher smoking rate at 27.2% compared to 16.8% in Springfield.
- Binge drinking is more common in Springfield at 16.9% compared to 14.7% in Marshall.
- Marshall has higher obesity rates at 39.2% compared to 36.4% in Springfield.
- There is a higher percentage of disabled individuals in Marshall at 30.0% compared to 20.0% in Springfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Springfield | Marshall |
---|---|---|
No Schooling | 0.9% (528) | 0.9% (12) |
High School Diploma | 14.9% (9,128) | 27.9% (373) |
Less than High School | 14.4% (8,821) | 32.4% (434) |
Bachelor's Degree and Higher | 14.2% (8,749) | 11.7% (156) |
Education Levels Comparison: Springfield vs Marshall
- The percentage of residents with no formal schooling is the same in both Springfield and Marshall at 0.9%.
- In Marshall, the rate of residents with high school diplomas is higher at 27.9% compared to 14.9% in Springfield.
- The percentage of residents with less than a high school education is higher in Marshall at 32.4%, compared to 14.4% in Springfield.
- A higher percentage of residents in Springfield hold a bachelor's degree or higher at 14.2% compared to 11.7% in Marshall.
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.