Demographics details for Springer, OK vs Orland park, IL
Population Overview
Compare main population characteristics in Springer, OK vs Orland park, IL.
Data | Springer | Orland park |
---|---|---|
Population | 694 | 57,511 |
Median Age | 30.3 years | 46.6 years |
Median Income | $51,630 | $97,365 |
Married Families | 42.0% | 48.0% |
Poverty Level | 17% | 6% |
Unemployment Rate | 3.5 | 5.4 |
Population Comparison: Springer vs Orland park
- The population in Orland park is higher at 57,511, compared to 694 in Springer.
- The median age in Orland park is higher at 46.6 years, compared to 30.3 years in Springer.
- Orland park has a higher median income of $97,365, compared to $51,630 in Springer.
- In Orland park, the percentage of married families is higher at 48.0%, compared to 42.0% in Springer.
- Springer has a higher poverty level at 17% compared to 6% in Orland park.
- Orland park has a higher unemployment rate at 5.4% compared to 3.5% in Springer.
Demographics
Demographics Springer vs Orland park provide insight into the diversity of the communities to compare.
Demographic | Springer | Orland park |
---|---|---|
Black | 5 | 4 |
White | 54 | 76 |
Asian | Data is updating | 5 |
Hispanic | 7 | 10 |
Two or More Races | 21 | 5 |
American Indian | 13 | Data is updating |
Demographics Comparison: Springer vs Orland park
- A higher percentage of Black residents are in Springer at 5% compared to 4% in Orland park.
- The percentage of White residents is higher in Orland park at 76% compared to 54% in Springer.
- In Orland park, the Asian population stands at 5%, greater than 0% in Springer.
- Orland park has a higher percentage of Hispanic residents at 10%, compared to 7% in Springer.
- More residents identify as two or more races in Springer at 21% compared to 5% in Orland park.
- A greater percentage of American Indian residents live in Springer at 13% compared to 0% in Orland park.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Springer | Orland park |
---|---|---|
Mental Health Not Good | 18.7% | 13.2% |
Physical Health Not Good | 12.6% | 8.6% |
Depression | 26.0% | 18.2% |
Smoking | 20.5% | 11.7% |
Binge Drinking | 15.6% | 20.2% |
Obesity | 39.9% | 26.8% |
Disability Percentage | 29.0% | 11.0% |
Health Statistics Comparison: Springer vs Orland park
- More residents in Springer report poor mental health at 18.7% compared to 13.2% in Orland park.
- Depression is more prevalent in Springer at 26.0% compared to 18.2% in Orland park.
- Smoking is more prevalent in Springer at 20.5% compared to 11.7% in Orland park.
- More residents engage in binge drinking in Orland park at 20.2% compared to 15.6% in Springer.
- Obesity rates are higher in Springer at 39.9% compared to 26.8% in Orland park.
- Disability percentages are higher in Springer at 29.0% compared to 11.0% in Orland park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Springer | Orland park |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.5% (297) |
High School Diploma | 19.2% (133) | 16.1% (9,262) |
Less than High School | 19.6% (136) | 8.3% (4,763) |
Bachelor's Degree and Higher | 9.4% (65) | 31.9% (18,372) |
Education Levels Comparison: Springer vs Orland park
- In Orland park, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Springer.
- A higher percentage of residents in Springer hold a high school diploma at 19.2% compared to 16.1% in Orland park.
- More residents in Springer have less than a high school education at 19.6% compared to 8.3% in Orland park.
- In Orland park, a larger share of residents have a bachelor's degree or higher at 31.9% 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.