Demographics details for Iuka, MS vs Broken arrow, OK
Population Overview
Compare main population characteristics in Iuka, MS vs Broken arrow, OK.
| Data | Iuka | Broken arrow |
|---|---|---|
| Population | 3,096 | 117,911 |
| Median Age | 37.2 years | 36.8 years |
| Median Income | $43,887 | $82,547 |
| Married Families | 40.0% | 43.0% |
| Poverty Level | 22% | 10% |
| Unemployment Rate | 5.0 | 3.3 |
Population Comparison: Iuka vs Broken arrow
- The population in Broken arrow is higher at 117,911, compared to 3,096 in Iuka.
- Residents in Iuka have a higher median age of 37.2 years compared to 36.8 years in Broken arrow.
- Broken arrow has a higher median income of $82,547, compared to $43,887 in Iuka.
- In Broken arrow, the percentage of married families is higher at 43.0%, compared to 40.0% in Iuka.
- Iuka has a higher poverty level at 22% compared to 10% in Broken arrow.
- The unemployment rate in Iuka is higher at 5.0%, compared to 3.3% in Broken arrow.
Demographics
Demographics Iuka vs Broken arrow provide insight into the diversity of the communities to compare.
| Demographic | Iuka | Broken arrow |
|---|---|---|
| Black | 4 | 5 |
| White | 94 | 65 |
| Asian | Data is updating | 4 |
| Hispanic | Data is updating | 10 |
| Two or More Races | 2 | 11 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Iuka vs Broken arrow
- In Broken arrow, the percentage of Black residents is higher at 5% compared to 4% in Iuka.
- Iuka has a higher percentage of White residents at 94% compared to 65% in Broken arrow.
- In Broken arrow, the Asian population stands at 4%, greater than 0% in Iuka.
- Broken arrow has a higher percentage of Hispanic residents at 10%, compared to 0% in Iuka.
- The percentage of residents identifying as two or more races is higher in Broken arrow at 11%, compared to 2% in Iuka.
- In Broken arrow, the percentage of American Indian residents is higher at 5%, compared to 0% in Iuka.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Iuka | Broken arrow |
|---|---|---|
| Mental Health Not Good | 19.6% | 16.8% |
| Physical Health Not Good | 15.1% | 10.3% |
| Depression | 26.4% | 25.0% |
| Smoking | 25.7% | 14.9% |
| Binge Drinking | 14.6% | 15.0% |
| Obesity | 40.0% | 34.6% |
| Disability Percentage | 19.0% | 11.0% |
Health Statistics Comparison: Iuka vs Broken arrow
- More residents in Iuka report poor mental health at 19.6% compared to 16.8% in Broken arrow.
- Depression is more prevalent in Iuka at 26.4% compared to 25.0% in Broken arrow.
- Smoking is more prevalent in Iuka at 25.7% compared to 14.9% in Broken arrow.
- More residents engage in binge drinking in Broken arrow at 15.0% compared to 14.6% in Iuka.
- Obesity rates are higher in Iuka at 40.0% compared to 34.6% in Broken arrow.
- Disability percentages are higher in Iuka at 19.0% compared to 11.0% in Broken arrow.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Iuka | Broken arrow |
|---|---|---|
| No Schooling | 2.4% (75) | 0.8% (935) |
| High School Diploma | 19.9% (616) | 13.2% (15,535) |
| Less than High School | 21.0% (650) | 6.6% (7,783) |
| Bachelor's Degree and Higher | 11.2% (348) | 22.2% (26,196) |
Education Levels Comparison: Iuka vs Broken arrow
- A higher percentage of residents in Iuka have no formal schooling at 2.4% compared to 0.8% in Broken arrow.
- A higher percentage of residents in Iuka hold a high school diploma at 19.9% compared to 13.2% in Broken arrow.
- More residents in Iuka have less than a high school education at 21.0% compared to 6.6% in Broken arrow.
- In Broken arrow, a larger share of residents have a bachelor's degree or higher at 22.2% compared to 11.2% in Iuka.
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.