Demographics details for Tulsa, OK vs Silverhill, AL
Population Overview
Compare main population characteristics in Tulsa, OK vs Silverhill, AL.
Data | Tulsa | Silverhill |
---|---|---|
Population | 411,867 | 1,369 |
Median Age | 35.6 years | 43.0 years |
Median Income | $56,648 | $58,510 |
Married Families | 33.0% | 26.0% |
Poverty Level | 16% | 10% |
Unemployment Rate | 3.9 | 3.5 |
Population Comparison: Tulsa vs Silverhill
- In Tulsa, the population is higher at 411,867, compared to 1,369 in Silverhill.
- The median age in Silverhill is higher at 43.0 years, compared to 35.6 years in Tulsa.
- Silverhill has a higher median income of $58,510, compared to $56,648 in Tulsa.
- A higher percentage of married families is found in Tulsa at 33.0% compared to 26.0% in Silverhill.
- Tulsa has a higher poverty level at 16% compared to 10% in Silverhill.
- The unemployment rate in Tulsa is higher at 3.9%, compared to 3.5% in Silverhill.
Demographics
Demographics Tulsa vs Silverhill provide insight into the diversity of the communities to compare.
Demographic | Tulsa | Silverhill |
---|---|---|
Black | 15 | Data is updating |
White | 48 | 90 |
Asian | 3 | Data is updating |
Hispanic | 17 | 7 |
Two or More Races | 13 | 2 |
American Indian | 4 | 1 |
Demographics Comparison: Tulsa vs Silverhill
- A higher percentage of Black residents are in Tulsa at 15% compared to 0% in Silverhill.
- The percentage of White residents is higher in Silverhill at 90% compared to 48% in Tulsa.
- The Asian population is larger in Tulsa at 3% compared to 0% in Silverhill.
- The Hispanic community is larger in Tulsa at 17% compared to 7% in Silverhill.
- More residents identify as two or more races in Tulsa at 13% compared to 2% in Silverhill.
- A greater percentage of American Indian residents live in Tulsa at 4% compared to 1% in Silverhill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Tulsa | Silverhill |
---|---|---|
Mental Health Not Good | 18.6% | 18.7% |
Physical Health Not Good | 12.7% | 12.1% |
Depression | 25.2% | 24.9% |
Smoking | 18.7% | 17.6% |
Binge Drinking | 13.3% | 17.7% |
Obesity | 38.1% | 38.2% |
Disability Percentage | 14.0% | 6.0% |
Health Statistics Comparison: Tulsa vs Silverhill
- In Silverhill, a higher percentage report poor mental health at 18.7% compared to 18.6% in Tulsa.
- Depression is more prevalent in Tulsa at 25.2% compared to 24.9% in Silverhill.
- Smoking is more prevalent in Tulsa at 18.7% compared to 17.6% in Silverhill.
- More residents engage in binge drinking in Silverhill at 17.7% compared to 13.3% in Tulsa.
- Silverhill has higher obesity rates at 38.2% compared to 38.1% in Tulsa.
- Disability percentages are higher in Tulsa at 14.0% compared to 6.0% in Silverhill.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Tulsa | Silverhill |
---|---|---|
No Schooling | 1.2% (5,029) | 2.0% (28) |
High School Diploma | 14.0% (57,640) | 10.1% (138) |
Less than High School | 13.8% (56,774) | 5.4% (74) |
Bachelor's Degree and Higher | 21.7% (89,557) | 11.5% (157) |
Education Levels Comparison: Tulsa vs Silverhill
- In Silverhill, a larger percentage of residents lack formal schooling at 2.0% compared to 1.2% in Tulsa.
- A higher percentage of residents in Tulsa hold a high school diploma at 14.0% compared to 10.1% in Silverhill.
- More residents in Tulsa have less than a high school education at 13.8% compared to 5.4% in Silverhill.
- A higher percentage of residents in Tulsa hold a bachelor's degree or higher at 21.7% compared to 11.5% in Silverhill.
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.