Demographics details for Sutherland, VA vs Ada, OK
Population Overview
Compare main population characteristics in Sutherland, VA vs Ada, OK.
| Data | Sutherland | Ada |
|---|---|---|
| Population | 2,000 | 16,542 |
| Median Age | 45.0 years | 32.4 years |
| Median Income | $60,000 | $47,264 |
| Married Families | 60.0% | 28.0% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 5.0 | 2.7 |
Population Comparison: Sutherland vs Ada
- The population in Ada is higher at 16,542, compared to 2,000 in Sutherland.
- Residents in Sutherland have a higher median age of 45.0 years compared to 32.4 years in Ada.
- Sutherland has a higher median income of $60,000 compared to $47,264 in Ada.
- A higher percentage of married families is found in Sutherland at 60.0% compared to 28.0% in Ada.
- The poverty level is higher in Ada at 14%, compared to 10% in Sutherland.
- The unemployment rate in Sutherland is higher at 5.0%, compared to 2.7% in Ada.
Demographics
Demographics Sutherland vs Ada provide insight into the diversity of the communities to compare.
| Demographic | Sutherland | Ada |
|---|---|---|
| Black | 10 | 5 |
| White | 80 | 55 |
| Asian | 5 | 2 |
| Hispanic | 5 | 6 |
| Two or More Races | Data is updating | 14 |
| American Indian | Data is updating | 18 |
Demographics Comparison: Sutherland vs Ada
- A higher percentage of Black residents are in Sutherland at 10% compared to 5% in Ada.
- Sutherland has a higher percentage of White residents at 80% compared to 55% in Ada.
- The Asian population is larger in Sutherland at 5% compared to 2% in Ada.
- Ada has a higher percentage of Hispanic residents at 6%, compared to 5% in Sutherland.
- The percentage of residents identifying as two or more races is higher in Ada at 14%, compared to 0% in Sutherland.
- In Ada, the percentage of American Indian residents is higher at 18%, compared to 0% in Sutherland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sutherland | Ada |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.4% |
| Physical Health Not Good | Data is updating% | 13.3% |
| Depression | Data is updating% | 26.3% |
| Smoking | Data is updating% | 21.3% |
| Binge Drinking | Data is updating% | 13.8% |
| Obesity | Data is updating% | 37.3% |
| Disability Percentage | Data is updating% | 17.0% |
Health Statistics Comparison: Sutherland vs Ada
- In Ada, a higher percentage report poor mental health at 19.4% compared to 0.0% in Sutherland.
- Higher depression rates are seen in Ada at 26.3% versus 0.0% in Sutherland.
- Ada has a higher smoking rate at 21.3% compared to 0.0% in Sutherland.
- More residents engage in binge drinking in Ada at 13.8% compared to 0.0% in Sutherland.
- Ada has higher obesity rates at 37.3% compared to 0.0% in Sutherland.
- There is a higher percentage of disabled individuals in Ada at 17.0% compared to 0.0% in Sutherland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sutherland | Ada |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (89) |
| High School Diploma | 0.0% (Data is updating) | 15.2% (2,519) |
| Less than High School | 0.0% (Data is updating) | 12.5% (2,071) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 17.8% (2,952) |
Education Levels Comparison: Sutherland vs Ada
- In Ada, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Sutherland.
- In Ada, the rate of residents with high school diplomas is higher at 15.2% compared to 0.0% in Sutherland.
- The percentage of residents with less than a high school education is higher in Ada at 12.5%, compared to 0.0% in Sutherland.
- In Ada, a larger share of residents have a bachelor's degree or higher at 17.8% compared to 0.0% in Sutherland.
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.