Demographics details for Tulsa, OK vs South cle elum, WA
Population Overview
Compare main population characteristics in Tulsa, OK vs South cle elum, WA.
Data | Tulsa | South cle elum |
---|---|---|
Population | 411,867 | 564 |
Median Age | 35.6 years | 35.2 years |
Median Income | $56,648 | $56,400 |
Married Families | 33.0% | 47.0% |
Poverty Level | 16% | 10% |
Unemployment Rate | 3.9 | 5.0 |
Population Comparison: Tulsa vs South cle elum
- In Tulsa, the population is higher at 411,867, compared to 564 in South cle elum.
- Residents in Tulsa have a higher median age of 35.6 years compared to 35.2 years in South cle elum.
- Tulsa has a higher median income of $56,648 compared to $56,400 in South cle elum.
- In South cle elum, the percentage of married families is higher at 47.0%, compared to 33.0% in Tulsa.
- Tulsa has a higher poverty level at 16% compared to 10% in South cle elum.
- South cle elum has a higher unemployment rate at 5.0% compared to 3.9% in Tulsa.
Demographics
Demographics Tulsa vs South cle elum provide insight into the diversity of the communities to compare.
Demographic | Tulsa | South cle elum |
---|---|---|
Black | 15 | Data is updating |
White | 48 | 84 |
Asian | 3 | Data is updating |
Hispanic | 17 | 6 |
Two or More Races | 13 | 10 |
American Indian | 4 | Data is updating |
Demographics Comparison: Tulsa vs South cle elum
- A higher percentage of Black residents are in Tulsa at 15% compared to 0% in South cle elum.
- The percentage of White residents is higher in South cle elum at 84% compared to 48% in Tulsa.
- The Asian population is larger in Tulsa at 3% compared to 0% in South cle elum.
- The Hispanic community is larger in Tulsa at 17% compared to 6% in South cle elum.
- More residents identify as two or more races in Tulsa at 13% compared to 10% in South cle elum.
- A greater percentage of American Indian residents live in Tulsa at 4% compared to 0% in South cle elum.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Tulsa | South cle elum |
---|---|---|
Mental Health Not Good | 18.6% | 17.8% |
Physical Health Not Good | 12.7% | 11.9% |
Depression | 25.2% | 26.2% |
Smoking | 18.7% | 16.3% |
Binge Drinking | 13.3% | 18.3% |
Obesity | 38.1% | 31.0% |
Disability Percentage | 14.0% | 26.0% |
Health Statistics Comparison: Tulsa vs South cle elum
- More residents in Tulsa report poor mental health at 18.6% compared to 17.8% in South cle elum.
- Higher depression rates are seen in South cle elum at 26.2% versus 25.2% in Tulsa.
- Smoking is more prevalent in Tulsa at 18.7% compared to 16.3% in South cle elum.
- More residents engage in binge drinking in South cle elum at 18.3% compared to 13.3% in Tulsa.
- Obesity rates are higher in Tulsa at 38.1% compared to 31.0% in South cle elum.
- There is a higher percentage of disabled individuals in South cle elum at 26.0% compared to 14.0% in Tulsa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Tulsa | South cle elum |
---|---|---|
No Schooling | 1.2% (5,029) | 0.0% (Data is updating) |
High School Diploma | 14.0% (57,640) | 22.2% (125) |
Less than High School | 13.8% (56,774) | 21.6% (122) |
Bachelor's Degree and Higher | 21.7% (89,557) | 20.6% (116) |
Education Levels Comparison: Tulsa vs South cle elum
- A higher percentage of residents in Tulsa have no formal schooling at 1.2% compared to 0.0% in South cle elum.
- In South cle elum, the rate of residents with high school diplomas is higher at 22.2% compared to 14.0% in Tulsa.
- The percentage of residents with less than a high school education is higher in South cle elum at 21.6%, compared to 13.8% in Tulsa.
- A higher percentage of residents in Tulsa hold a bachelor's degree or higher at 21.7% compared to 20.6% in South cle elum.
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.