Demographics details for Oologah, OK vs Stuttgart, AR
Population Overview
Compare main population characteristics in Oologah, OK vs Stuttgart, AR.
Data | Oologah | Stuttgart |
---|---|---|
Population | 1,314 | 7,907 |
Median Age | 33.1 years | 37.8 years |
Median Income | $82,531 | $59,124 |
Married Families | 47.0% | 39.0% |
Poverty Level | 7% | 18% |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Oologah vs Stuttgart
- The population in Stuttgart is higher at 7,907, compared to 1,314 in Oologah.
- The median age in Stuttgart is higher at 37.8 years, compared to 33.1 years in Oologah.
- Oologah has a higher median income of $82,531 compared to $59,124 in Stuttgart.
- A higher percentage of married families is found in Oologah at 47.0% compared to 39.0% in Stuttgart.
- The poverty level is higher in Stuttgart at 18%, compared to 7% in Oologah.
- Stuttgart has a higher unemployment rate at 4.2% compared to 3.5% in Oologah.
Demographics
Demographics Oologah vs Stuttgart provide insight into the diversity of the communities to compare.
Demographic | Oologah | Stuttgart |
---|---|---|
Black | Data is updating | 42 |
White | 55 | 53 |
Asian | 1 | Data is updating |
Hispanic | 3 | 2 |
Two or More Races | 17 | 3 |
American Indian | 24 | Data is updating |
Demographics Comparison: Oologah vs Stuttgart
- In Stuttgart, the percentage of Black residents is higher at 42% compared to 0% in Oologah.
- Oologah has a higher percentage of White residents at 55% compared to 53% in Stuttgart.
- The Asian population is larger in Oologah at 1% compared to 0% in Stuttgart.
- The Hispanic community is larger in Oologah at 3% compared to 2% in Stuttgart.
- More residents identify as two or more races in Oologah at 17% compared to 3% in Stuttgart.
- A greater percentage of American Indian residents live in Oologah at 24% compared to 0% in Stuttgart.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oologah | Stuttgart |
---|---|---|
Mental Health Not Good | 18.4% | 19.8% |
Physical Health Not Good | 12.0% | 14.6% |
Depression | 25.1% | 24.4% |
Smoking | 19.1% | 23.1% |
Binge Drinking | 15.5% | 13.6% |
Obesity | 43.4% | 39.7% |
Disability Percentage | 29.0% | 20.0% |
Health Statistics Comparison: Oologah vs Stuttgart
- In Stuttgart, a higher percentage report poor mental health at 19.8% compared to 18.4% in Oologah.
- Depression is more prevalent in Oologah at 25.1% compared to 24.4% in Stuttgart.
- Stuttgart has a higher smoking rate at 23.1% compared to 19.1% in Oologah.
- Binge drinking is more common in Oologah at 15.5% compared to 13.6% in Stuttgart.
- Obesity rates are higher in Oologah at 43.4% compared to 39.7% in Stuttgart.
- Disability percentages are higher in Oologah at 29.0% compared to 20.0% in Stuttgart.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Oologah | Stuttgart |
---|---|---|
No Schooling | 0.4% (5) | 0.8% (63) |
High School Diploma | 22.6% (297) | 25.5% (2,015) |
Less than High School | 14.5% (190) | 14.5% (1,144) |
Bachelor's Degree and Higher | 13.8% (181) | 12.0% (948) |
Education Levels Comparison: Oologah vs Stuttgart
- In Stuttgart, a larger percentage of residents lack formal schooling at 0.8% compared to 0.4% in Oologah.
- In Stuttgart, the rate of residents with high school diplomas is higher at 25.5% compared to 22.6% in Oologah.
- Both cities report the same percentage of residents with less than a high school education at 14.5%.
- A higher percentage of residents in Oologah hold a bachelor's degree or higher at 13.8% compared to 12.0% in Stuttgart.
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.