Demographics details for Gill, CO vs Springer, OK
Population Overview
Compare main population characteristics in Gill, CO vs Springer, OK.
Data | Gill | Springer |
---|---|---|
Population | 102 | 694 |
Median Age | 37.0 years | 30.3 years |
Median Income | $60,000 | $51,630 |
Married Families | 30.0% | 42.0% |
Poverty Level | 12% | 17% |
Unemployment Rate | 3.0 | 3.5 |
Population Comparison: Gill vs Springer
- The population in Springer is higher at 694, compared to 102 in Gill.
- Residents in Gill have a higher median age of 37.0 years compared to 30.3 years in Springer.
- Gill has a higher median income of $60,000 compared to $51,630 in Springer.
- In Springer, the percentage of married families is higher at 42.0%, compared to 30.0% in Gill.
- The poverty level is higher in Springer at 17%, compared to 12% in Gill.
- Springer has a higher unemployment rate at 3.5% compared to 3.0% in Gill.
Demographics
Demographics Gill vs Springer provide insight into the diversity of the communities to compare.
Demographic | Gill | Springer |
---|---|---|
Black | Data is updating | 5 |
White | 100 | 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: Gill vs Springer
- In Springer, the percentage of Black residents is higher at 5% compared to 0% in Gill.
- Gill has a higher percentage of White residents at 100% compared to 54% in Springer.
- Both Gill 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 Gill.
- The percentage of residents identifying as two or more races is higher in Springer at 21%, compared to 0% in Gill.
- In Springer, the percentage of American Indian residents is higher at 13%, compared to 0% in Gill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Gill | Springer |
---|---|---|
Mental Health Not Good | Data is updating% | 18.7% |
Physical Health Not Good | Data is updating% | 12.6% |
Depression | Data is updating% | 26.0% |
Smoking | Data is updating% | 20.5% |
Binge Drinking | Data is updating% | 15.6% |
Obesity | Data is updating% | 39.9% |
Disability Percentage | Data is updating% | 29.0% |
Health Statistics Comparison: Gill vs Springer
- In Springer, a higher percentage report poor mental health at 18.7% compared to 0.0% in Gill.
- Higher depression rates are seen in Springer at 26.0% versus 0.0% in Gill.
- Springer has a higher smoking rate at 20.5% compared to 0.0% in Gill.
- More residents engage in binge drinking in Springer at 15.6% compared to 0.0% in Gill.
- Springer has higher obesity rates at 39.9% compared to 0.0% in Gill.
- There is a higher percentage of disabled individuals in Springer at 29.0% compared to 0.0% in Gill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Gill | Springer |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 0.0% (Data is updating) | 19.2% (133) |
Less than High School | 0.0% (Data is updating) | 19.6% (136) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 9.4% (65) |
Education Levels Comparison: Gill vs Springer
- The percentage of residents with no formal schooling is the same in both Gill and Springer at 0.0%.
- In Springer, the rate of residents with high school diplomas is higher at 19.2% compared to 0.0% in Gill.
- The percentage of residents with less than a high school education is higher in Springer at 19.6%, compared to 0.0% in Gill.
- In Springer, a larger share of residents have a bachelor's degree or higher at 9.4% compared to 0.0% in Gill.
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.