Demographics details for Whiting, KS vs Springer, OK
Population Overview
Compare main population characteristics in Whiting, KS vs Springer, OK.
| Data | Whiting | Springer |
|---|---|---|
| Population | 195 | 694 |
| Median Age | 33.7 years | 30.3 years |
| Median Income | $52,000 | $51,630 |
| Married Families | 47.0% | 42.0% |
| Poverty Level | Data is updating | 17% |
| Unemployment Rate | Data is updating | 3.5 |
Population Comparison: Whiting vs Springer
- The population in Springer is higher at 694, compared to 195 in Whiting.
- Residents in Whiting have a higher median age of 33.7 years compared to 30.3 years in Springer.
- Whiting has a higher median income of $52,000 compared to $51,630 in Springer.
- A higher percentage of married families is found in Whiting at 47.0% compared to 42.0% in Springer.
- The poverty level is higher in Springer at 17%, compared to 0% in Whiting.
- Springer has a higher unemployment rate at 3.5% compared to 0.0% in Whiting.
Demographics
Demographics Whiting vs Springer provide insight into the diversity of the communities to compare.
| Demographic | Whiting | Springer |
|---|---|---|
| Black | Data is updating | 5 |
| White | 87 | 54 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | 7 |
| Two or More Races | 11 | 21 |
| American Indian | Data is updating | 13 |
Demographics Comparison: Whiting vs Springer
- In Springer, the percentage of Black residents is higher at 5% compared to 0% in Whiting.
- Whiting has a higher percentage of White residents at 87% compared to 54% in Springer.
- Both Whiting and Springer have the same percentage of Asian residents at 0%.
- Springer has a higher percentage of Hispanic residents at 7%, compared to 2% in Whiting.
- The percentage of residents identifying as two or more races is higher in Springer at 21%, compared to 11% in Whiting.
- In Springer, the percentage of American Indian residents is higher at 13%, compared to 0% in Whiting.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Whiting | Springer |
|---|---|---|
| Mental Health Not Good | 16.1% | 18.7% |
| Physical Health Not Good | 9.9% | 12.6% |
| Depression | 22.9% | 26.0% |
| Smoking | 17.9% | 20.5% |
| Binge Drinking | 19.3% | 15.6% |
| Obesity | 39.3% | 39.9% |
| Disability Percentage | 13.0% | 29.0% |
Health Statistics Comparison: Whiting vs Springer
- In Springer, a higher percentage report poor mental health at 18.7% compared to 16.1% in Whiting.
- Higher depression rates are seen in Springer at 26.0% versus 22.9% in Whiting.
- Springer has a higher smoking rate at 20.5% compared to 17.9% in Whiting.
- Binge drinking is more common in Whiting at 19.3% compared to 15.6% in Springer.
- Springer has higher obesity rates at 39.9% compared to 39.3% in Whiting.
- There is a higher percentage of disabled individuals in Springer at 29.0% compared to 13.0% in Whiting.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Whiting | Springer |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 28.7% (56) | 19.2% (133) |
| Less than High School | 9.2% (18) | 19.6% (136) |
| Bachelor's Degree and Higher | 14.9% (29) | 9.4% (65) |
Education Levels Comparison: Whiting vs Springer
- The percentage of residents with no formal schooling is the same in both Whiting and Springer at 0.0%.
- A higher percentage of residents in Whiting hold a high school diploma at 28.7% compared to 19.2% in Springer.
- The percentage of residents with less than a high school education is higher in Springer at 19.6%, compared to 9.2% in Whiting.
- A higher percentage of residents in Whiting hold a bachelor's degree or higher at 14.9% 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.