Demographics details for Arrington, VA vs Springer, OK
Population Overview
Compare main population characteristics in Arrington, VA vs Springer, OK.
Data | Arrington | Springer |
---|---|---|
Population | 1,226 | 694 |
Median Age | 31.3 years | 30.3 years |
Median Income | $58,144 | $51,630 |
Married Families | 40.0% | 42.0% |
Poverty Level | 8% | 17% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Arrington vs Springer
- In Arrington, the population is higher at 1,226, compared to 694 in Springer.
- Residents in Arrington have a higher median age of 31.3 years compared to 30.3 years in Springer.
- Arrington has a higher median income of $58,144 compared to $51,630 in Springer.
- In Springer, the percentage of married families is higher at 42.0%, compared to 40.0% in Arrington.
- The poverty level is higher in Springer at 17%, compared to 8% in Arrington.
- The unemployment rate is the same in both Arrington and Springer at 3.5%.
Demographics
Demographics Arrington vs Springer provide insight into the diversity of the communities to compare.
Demographic | Arrington | Springer |
---|---|---|
Black | 41 | 5 |
White | 59 | 54 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 7 |
Two or More Races | Data is updating | 21 |
American Indian | Data is updating | 13 |
Demographics Comparison: Arrington vs Springer
- A higher percentage of Black residents are in Arrington at 41% compared to 5% in Springer.
- Arrington has a higher percentage of White residents at 59% compared to 54% in Springer.
- Both Arrington and Springer have the same percentage of Asian residents at 0%.
- Springer has a higher percentage of Hispanic residents at 7%, compared to 0% in Arrington.
- The percentage of residents identifying as two or more races is higher in Springer at 21%, compared to 0% in Arrington.
- In Springer, the percentage of American Indian residents is higher at 13%, compared to 0% in Arrington.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Arrington | Springer |
---|---|---|
Mental Health Not Good | 19.7% | 18.7% |
Physical Health Not Good | 14.0% | 12.6% |
Depression | 25.2% | 26.0% |
Smoking | 23.1% | 20.5% |
Binge Drinking | 15.3% | 15.6% |
Obesity | 42.4% | 39.9% |
Disability Percentage | 6.0% | 29.0% |
Health Statistics Comparison: Arrington vs Springer
- More residents in Arrington report poor mental health at 19.7% compared to 18.7% in Springer.
- Higher depression rates are seen in Springer at 26.0% versus 25.2% in Arrington.
- Smoking is more prevalent in Arrington at 23.1% compared to 20.5% in Springer.
- More residents engage in binge drinking in Springer at 15.6% compared to 15.3% in Arrington.
- Obesity rates are higher in Arrington at 42.4% compared to 39.9% in Springer.
- There is a higher percentage of disabled individuals in Springer at 29.0% compared to 6.0% in Arrington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Arrington | Springer |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 17.0% (208) | 19.2% (133) |
Less than High School | 21.2% (260) | 19.6% (136) |
Bachelor's Degree and Higher | 20.1% (247) | 9.4% (65) |
Education Levels Comparison: Arrington vs Springer
- The percentage of residents with no formal schooling is the same in both Arrington and Springer at 0.0%.
- In Springer, the rate of residents with high school diplomas is higher at 19.2% compared to 17.0% in Arrington.
- More residents in Arrington have less than a high school education at 21.2% compared to 19.6% in Springer.
- A higher percentage of residents in Arrington hold a bachelor's degree or higher at 20.1% compared to 9.4% in Springer.
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.