Demographics details for Sandy, UT vs Oklahoma city, OK
Population Overview
Compare main population characteristics in Sandy, UT vs Oklahoma city, OK.
| Data | Sandy | Oklahoma city |
|---|---|---|
| Population | 93,022 | 694,800 |
| Median Age | 36.9 years | 34.9 years |
| Median Income | $108,165 | $64,251 |
| Married Families | 47.0% | 36.0% |
| Poverty Level | 6% | 13% |
| Unemployment Rate | 3.6 | 3.5 |
Population Comparison: Sandy vs Oklahoma city
- The population in Oklahoma city is higher at 694,800, compared to 93,022 in Sandy.
- Residents in Sandy have a higher median age of 36.9 years compared to 34.9 years in Oklahoma city.
- Sandy has a higher median income of $108,165 compared to $64,251 in Oklahoma city.
- A higher percentage of married families is found in Sandy at 47.0% compared to 36.0% in Oklahoma city.
- The poverty level is higher in Oklahoma city at 13%, compared to 6% in Sandy.
- The unemployment rate in Sandy is higher at 3.6%, compared to 3.5% in Oklahoma city.
Demographics
Demographics Sandy vs Oklahoma city provide insight into the diversity of the communities to compare.
| Demographic | Sandy | Oklahoma city |
|---|---|---|
| Black | 1 | 13 |
| White | 77 | 48 |
| Asian | 4 | 4 |
| Hispanic | 11 | 20 |
| Two or More Races | 6 | 12 |
| American Indian | 1 | 3 |
Demographics Comparison: Sandy vs Oklahoma city
- In Oklahoma city, the percentage of Black residents is higher at 13% compared to 1% in Sandy.
- Sandy has a higher percentage of White residents at 77% compared to 48% in Oklahoma city.
- Both Sandy and Oklahoma city have the same percentage of Asian residents at 4%.
- Oklahoma city has a higher percentage of Hispanic residents at 20%, compared to 11% in Sandy.
- The percentage of residents identifying as two or more races is higher in Oklahoma city at 12%, compared to 6% in Sandy.
- In Oklahoma city, the percentage of American Indian residents is higher at 3%, compared to 1% in Sandy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sandy | Oklahoma city |
|---|---|---|
| Mental Health Not Good | 17.1% | 18.1% |
| Physical Health Not Good | 9.4% | 12.3% |
| Depression | 26.7% | 24.8% |
| Smoking | 7.8% | 18.2% |
| Binge Drinking | 16.4% | 13.1% |
| Obesity | 29.0% | 38.0% |
| Disability Percentage | 9.0% | 12.0% |
Health Statistics Comparison: Sandy vs Oklahoma city
- In Oklahoma city, a higher percentage report poor mental health at 18.1% compared to 17.1% in Sandy.
- Depression is more prevalent in Sandy at 26.7% compared to 24.8% in Oklahoma city.
- Oklahoma city has a higher smoking rate at 18.2% compared to 7.8% in Sandy.
- Binge drinking is more common in Sandy at 16.4% compared to 13.1% in Oklahoma city.
- Oklahoma city has higher obesity rates at 38.0% compared to 29.0% in Sandy.
- There is a higher percentage of disabled individuals in Oklahoma city at 12.0% compared to 9.0% in Sandy.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sandy | Oklahoma city |
|---|---|---|
| No Schooling | 0.5% (424) | 1.3% (9,023) |
| High School Diploma | 10.9% (10,176) | 13.0% (90,670) |
| Less than High School | 5.7% (5,337) | 14.0% (97,428) |
| Bachelor's Degree and Higher | 30.5% (28,394) | 21.3% (148,128) |
Education Levels Comparison: Sandy vs Oklahoma city
- In Oklahoma city, a larger percentage of residents lack formal schooling at 1.3% compared to 0.5% in Sandy.
- In Oklahoma city, the rate of residents with high school diplomas is higher at 13.0% compared to 10.9% in Sandy.
- The percentage of residents with less than a high school education is higher in Oklahoma city at 14.0%, compared to 5.7% in Sandy.
- A higher percentage of residents in Sandy hold a bachelor's degree or higher at 30.5% compared to 21.3% in Oklahoma city.
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.