Demographics details for Sterling, OK vs Scott city, KS
Population Overview
Compare main population characteristics in Sterling, OK vs Scott city, KS.
Data | Sterling | Scott city |
---|---|---|
Population | 678 | 4,008 |
Median Age | 39.7 years | 36.0 years |
Median Income | $64,464 | $47,217 |
Married Families | 47.0% | 44.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Sterling vs Scott city
- The population in Scott city is higher at 4,008, compared to 678 in Sterling.
- Residents in Sterling have a higher median age of 39.7 years compared to 36.0 years in Scott city.
- Sterling has a higher median income of $64,464 compared to $47,217 in Scott city.
- A higher percentage of married families is found in Sterling at 47.0% compared to 44.0% in Scott city.
- Sterling has a higher poverty level at 12% compared to 10% in Scott city.
- Scott city has a higher unemployment rate at 4.0% compared to 3.5% in Sterling.
Demographics
Demographics Sterling vs Scott city provide insight into the diversity of the communities to compare.
Demographic | Sterling | Scott city |
---|---|---|
Black | Data is updating | Data is updating |
White | 82 | 69 |
Asian | 1 | 1 |
Hispanic | 6 | 25 |
Two or More Races | 11 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Sterling vs Scott city
- The percentage of Black residents is the same in both Sterling and Scott city at 0%.
- Sterling has a higher percentage of White residents at 82% compared to 69% in Scott city.
- Both Sterling and Scott city have the same percentage of Asian residents at 1%.
- Scott city has a higher percentage of Hispanic residents at 25%, compared to 6% in Sterling.
- More residents identify as two or more races in Sterling at 11% compared to 5% in Scott city.
- The percentage of American Indian residents is the same in both Sterling and Scott city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sterling | Scott city |
---|---|---|
Mental Health Not Good | 17.9% | 15.6% |
Physical Health Not Good | 12.2% | 10.3% |
Depression | 28.2% | 19.7% |
Smoking | 20.1% | 17.6% |
Binge Drinking | 16.4% | 19.2% |
Obesity | 42.3% | 38.1% |
Disability Percentage | 40.0% | 11.0% |
Health Statistics Comparison: Sterling vs Scott city
- More residents in Sterling report poor mental health at 17.9% compared to 15.6% in Scott city.
- Depression is more prevalent in Sterling at 28.2% compared to 19.7% in Scott city.
- Smoking is more prevalent in Sterling at 20.1% compared to 17.6% in Scott city.
- More residents engage in binge drinking in Scott city at 19.2% compared to 16.4% in Sterling.
- Obesity rates are higher in Sterling at 42.3% compared to 38.1% in Scott city.
- Disability percentages are higher in Sterling at 40.0% compared to 11.0% in Scott city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sterling | Scott city |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.9% (116) |
High School Diploma | 45.0% (305) | 13.5% (543) |
Less than High School | 11.2% (76) | 24.2% (968) |
Bachelor's Degree and Higher | 6.5% (44) | 12.2% (490) |
Education Levels Comparison: Sterling vs Scott city
- In Scott city, a larger percentage of residents lack formal schooling at 2.9% compared to 0.0% in Sterling.
- A higher percentage of residents in Sterling hold a high school diploma at 45.0% compared to 13.5% in Scott city.
- The percentage of residents with less than a high school education is higher in Scott city at 24.2%, compared to 11.2% in Sterling.
- In Scott city, a larger share of residents have a bachelor's degree or higher at 12.2% compared to 6.5% in Sterling.
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.