Demographics details for Tulsa, OK vs Picayune, MS
Population Overview
Compare main population characteristics in Tulsa, OK vs Picayune, MS.
| Data | Tulsa | Picayune |
|---|---|---|
| Population | 411,867 | 11,826 |
| Median Age | 35.6 years | 38.3 years |
| Median Income | $56,648 | $35,649 |
| Married Families | 33.0% | 27.0% |
| Poverty Level | 16% | 21% |
| Unemployment Rate | 3.9 | 4.5 |
Population Comparison: Tulsa vs Picayune
- In Tulsa, the population is higher at 411,867, compared to 11,826 in Picayune.
- The median age in Picayune is higher at 38.3 years, compared to 35.6 years in Tulsa.
- Tulsa has a higher median income of $56,648 compared to $35,649 in Picayune.
- A higher percentage of married families is found in Tulsa at 33.0% compared to 27.0% in Picayune.
- The poverty level is higher in Picayune at 21%, compared to 16% in Tulsa.
- Picayune has a higher unemployment rate at 4.5% compared to 3.9% in Tulsa.
Demographics
Demographics Tulsa vs Picayune provide insight into the diversity of the communities to compare.
| Demographic | Tulsa | Picayune |
|---|---|---|
| Black | 15 | 38 |
| White | 48 | 55 |
| Asian | 3 | Data is updating |
| Hispanic | 17 | 2 |
| Two or More Races | 13 | 5 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Tulsa vs Picayune
- In Picayune, the percentage of Black residents is higher at 38% compared to 15% in Tulsa.
- The percentage of White residents is higher in Picayune at 55% compared to 48% in Tulsa.
- The Asian population is larger in Tulsa at 3% compared to 0% in Picayune.
- The Hispanic community is larger in Tulsa at 17% compared to 2% in Picayune.
- More residents identify as two or more races in Tulsa at 13% compared to 5% in Picayune.
- A greater percentage of American Indian residents live in Tulsa at 4% compared to 0% in Picayune.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Tulsa | Picayune |
|---|---|---|
| Mental Health Not Good | 18.6% | 18.4% |
| Physical Health Not Good | 12.7% | 14.3% |
| Depression | 25.2% | 24.0% |
| Smoking | 18.7% | 23.3% |
| Binge Drinking | 13.3% | 13.3% |
| Obesity | 38.1% | 44.0% |
| Disability Percentage | 14.0% | 21.0% |
Health Statistics Comparison: Tulsa vs Picayune
- More residents in Tulsa report poor mental health at 18.6% compared to 18.4% in Picayune.
- Depression is more prevalent in Tulsa at 25.2% compared to 24.0% in Picayune.
- Picayune has a higher smoking rate at 23.3% compared to 18.7% in Tulsa.
- Binge drinking rates are similar in both Tulsa and Picayune at 13.3%.
- Picayune has higher obesity rates at 44.0% compared to 38.1% in Tulsa.
- There is a higher percentage of disabled individuals in Picayune at 21.0% 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 | Picayune |
|---|---|---|
| No Schooling | 1.2% (5,029) | 0.6% (73) |
| High School Diploma | 14.0% (57,640) | 17.8% (2,108) |
| Less than High School | 13.8% (56,774) | 11.8% (1,392) |
| Bachelor's Degree and Higher | 21.7% (89,557) | 10.1% (1,200) |
Education Levels Comparison: Tulsa vs Picayune
- A higher percentage of residents in Tulsa have no formal schooling at 1.2% compared to 0.6% in Picayune.
- In Picayune, the rate of residents with high school diplomas is higher at 17.8% compared to 14.0% in Tulsa.
- More residents in Tulsa have less than a high school education at 13.8% compared to 11.8% in Picayune.
- A higher percentage of residents in Tulsa hold a bachelor's degree or higher at 21.7% compared to 10.1% in Picayune.
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.