Demographics details for Tulsa, OK vs Elko new market, MN
Population Overview
Compare main population characteristics in Tulsa, OK vs Elko new market, MN.
Data | Tulsa | Elko new market |
---|---|---|
Population | 411,867 | 5,024 |
Median Age | 35.6 years | 33.3 years |
Median Income | $56,648 | $149,881 |
Married Families | 33.0% | 55.0% |
Poverty Level | 16% | 5% |
Unemployment Rate | 3.9 | 3.2 |
Population Comparison: Tulsa vs Elko new market
- In Tulsa, the population is higher at 411,867, compared to 5,024 in Elko new market.
- Residents in Tulsa have a higher median age of 35.6 years compared to 33.3 years in Elko new market.
- Elko new market has a higher median income of $149,881, compared to $56,648 in Tulsa.
- In Elko new market, the percentage of married families is higher at 55.0%, compared to 33.0% in Tulsa.
- Tulsa has a higher poverty level at 16% compared to 5% in Elko new market.
- The unemployment rate in Tulsa is higher at 3.9%, compared to 3.2% in Elko new market.
Demographics
Demographics Tulsa vs Elko new market provide insight into the diversity of the communities to compare.
Demographic | Tulsa | Elko new market |
---|---|---|
Black | 15 | 5 |
White | 48 | 82 |
Asian | 3 | 3 |
Hispanic | 17 | 4 |
Two or More Races | 13 | 6 |
American Indian | 4 | Data is updating |
Demographics Comparison: Tulsa vs Elko new market
- A higher percentage of Black residents are in Tulsa at 15% compared to 5% in Elko new market.
- The percentage of White residents is higher in Elko new market at 82% compared to 48% in Tulsa.
- Both Tulsa and Elko new market have the same percentage of Asian residents at 3%.
- The Hispanic community is larger in Tulsa at 17% compared to 4% in Elko new market.
- More residents identify as two or more races in Tulsa at 13% compared to 6% in Elko new market.
- A greater percentage of American Indian residents live in Tulsa at 4% compared to 0% in Elko new market.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Tulsa | Elko new market |
---|---|---|
Mental Health Not Good | 18.6% | 11.9% |
Physical Health Not Good | 12.7% | 7.1% |
Depression | 25.2% | 20.7% |
Smoking | 18.7% | 11.5% |
Binge Drinking | 13.3% | 20.3% |
Obesity | 38.1% | 32.2% |
Disability Percentage | 14.0% | 1.0% |
Health Statistics Comparison: Tulsa vs Elko new market
- More residents in Tulsa report poor mental health at 18.6% compared to 11.9% in Elko new market.
- Depression is more prevalent in Tulsa at 25.2% compared to 20.7% in Elko new market.
- Smoking is more prevalent in Tulsa at 18.7% compared to 11.5% in Elko new market.
- More residents engage in binge drinking in Elko new market at 20.3% compared to 13.3% in Tulsa.
- Obesity rates are higher in Tulsa at 38.1% compared to 32.2% in Elko new market.
- Disability percentages are higher in Tulsa at 14.0% compared to 1.0% in Elko new market.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Tulsa | Elko new market |
---|---|---|
No Schooling | 1.2% (5,029) | 0.4% (22) |
High School Diploma | 14.0% (57,640) | 7.7% (386) |
Less than High School | 13.8% (56,774) | 4.9% (246) |
Bachelor's Degree and Higher | 21.7% (89,557) | 26.8% (1,344) |
Education Levels Comparison: Tulsa vs Elko new market
- A higher percentage of residents in Tulsa have no formal schooling at 1.2% compared to 0.4% in Elko new market.
- A higher percentage of residents in Tulsa hold a high school diploma at 14.0% compared to 7.7% in Elko new market.
- More residents in Tulsa have less than a high school education at 13.8% compared to 4.9% in Elko new market.
- In Elko new market, a larger share of residents have a bachelor's degree or higher at 26.8% compared to 21.7% in Tulsa.
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.