Demographics details for Sand springs, OK vs Spring city, PA
Population Overview
Compare main population characteristics in Sand springs, OK vs Spring city, PA.
Data | Sand springs | Spring city |
---|---|---|
Population | 20,031 | 3,495 |
Median Age | 36.6 years | 36.7 years |
Median Income | $70,431 | $70,181 |
Married Families | 41.0% | 30.0% |
Poverty Level | 9% | 5% |
Unemployment Rate | 3.8 | 2.5 |
Population Comparison: Sand springs vs Spring city
- In Sand springs, the population is higher at 20,031, compared to 3,495 in Spring city.
- The median age in Spring city is higher at 36.7 years, compared to 36.6 years in Sand springs.
- Sand springs has a higher median income of $70,431 compared to $70,181 in Spring city.
- A higher percentage of married families is found in Sand springs at 41.0% compared to 30.0% in Spring city.
- Sand springs has a higher poverty level at 9% compared to 5% in Spring city.
- The unemployment rate in Sand springs is higher at 3.8%, compared to 2.5% in Spring city.
Demographics
Demographics Sand springs vs Spring city provide insight into the diversity of the communities to compare.
Demographic | Sand springs | Spring city |
---|---|---|
Black | 2 | 4 |
White | 76 | 85 |
Asian | 1 | 2 |
Hispanic | 5 | 6 |
Two or More Races | 9 | 3 |
American Indian | 7 | Data is updating |
Demographics Comparison: Sand springs vs Spring city
- In Spring city, the percentage of Black residents is higher at 4% compared to 2% in Sand springs.
- The percentage of White residents is higher in Spring city at 85% compared to 76% in Sand springs.
- In Spring city, the Asian population stands at 2%, greater than 1% in Sand springs.
- Spring city has a higher percentage of Hispanic residents at 6%, compared to 5% in Sand springs.
- More residents identify as two or more races in Sand springs at 9% compared to 3% in Spring city.
- A greater percentage of American Indian residents live in Sand springs at 7% compared to 0% in Spring city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sand springs | Spring city |
---|---|---|
Mental Health Not Good | 18.6% | 15.8% |
Physical Health Not Good | 11.8% | 10.8% |
Depression | 26.9% | 23.0% |
Smoking | 18.2% | 16.9% |
Binge Drinking | 15.0% | 18.9% |
Obesity | 35.7% | 34.8% |
Disability Percentage | 17.0% | 20.0% |
Health Statistics Comparison: Sand springs vs Spring city
- More residents in Sand springs report poor mental health at 18.6% compared to 15.8% in Spring city.
- Depression is more prevalent in Sand springs at 26.9% compared to 23.0% in Spring city.
- Smoking is more prevalent in Sand springs at 18.2% compared to 16.9% in Spring city.
- More residents engage in binge drinking in Spring city at 18.9% compared to 15.0% in Sand springs.
- Obesity rates are higher in Sand springs at 35.7% compared to 34.8% in Spring city.
- There is a higher percentage of disabled individuals in Spring city at 20.0% compared to 17.0% in Sand springs.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sand springs | Spring city |
---|---|---|
No Schooling | 0.5% (98) | 1.0% (34) |
High School Diploma | 16.8% (3,364) | 17.5% (613) |
Less than High School | 11.3% (2,260) | 8.8% (309) |
Bachelor's Degree and Higher | 15.2% (3,042) | 28.0% (980) |
Education Levels Comparison: Sand springs vs Spring city
- In Spring city, a larger percentage of residents lack formal schooling at 1.0% compared to 0.5% in Sand springs.
- In Spring city, the rate of residents with high school diplomas is higher at 17.5% compared to 16.8% in Sand springs.
- More residents in Sand springs have less than a high school education at 11.3% compared to 8.8% in Spring city.
- In Spring city, a larger share of residents have a bachelor's degree or higher at 28.0% compared to 15.2% in Sand springs.
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.