Demographics details for Warren, VT vs Iuka, MS
Population Overview
Compare main population characteristics in Warren, VT vs Iuka, MS.
| Data | Warren | Iuka |
|---|---|---|
| Population | 1,705 | 3,096 |
| Median Age | 41.5 years | 37.2 years |
| Median Income | $61,000 | $43,887 |
| Married Families | 35.0% | 40.0% |
| Poverty Level | 5% | 22% |
| Unemployment Rate | 1.8 | 5.0 |
Population Comparison: Warren vs Iuka
- The population in Iuka is higher at 3,096, compared to 1,705 in Warren.
- Residents in Warren have a higher median age of 41.5 years compared to 37.2 years in Iuka.
- Warren has a higher median income of $61,000 compared to $43,887 in Iuka.
- In Iuka, the percentage of married families is higher at 40.0%, compared to 35.0% in Warren.
- The poverty level is higher in Iuka at 22%, compared to 5% in Warren.
- Iuka has a higher unemployment rate at 5.0% compared to 1.8% in Warren.
Demographics
Demographics Warren vs Iuka provide insight into the diversity of the communities to compare.
| Demographic | Warren | Iuka |
|---|---|---|
| Black | Data is updating | 4 |
| White | 100 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | Data is updating | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Warren vs Iuka
- In Iuka, the percentage of Black residents is higher at 4% compared to 0% in Warren.
- Warren has a higher percentage of White residents at 100% compared to 94% in Iuka.
- Both Warren and Iuka have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Warren and Iuka at 0%.
- The percentage of residents identifying as two or more races is higher in Iuka at 2%, compared to 0% in Warren.
- The percentage of American Indian residents is the same in both Warren and Iuka at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Warren | Iuka |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.6% |
| Physical Health Not Good | Data is updating% | 15.1% |
| Depression | Data is updating% | 26.4% |
| Smoking | Data is updating% | 25.7% |
| Binge Drinking | Data is updating% | 14.6% |
| Obesity | Data is updating% | 40.0% |
| Disability Percentage | Data is updating% | 19.0% |
Health Statistics Comparison: Warren vs Iuka
- In Iuka, a higher percentage report poor mental health at 19.6% compared to 0.0% in Warren.
- Higher depression rates are seen in Iuka at 26.4% versus 0.0% in Warren.
- Iuka has a higher smoking rate at 25.7% compared to 0.0% in Warren.
- More residents engage in binge drinking in Iuka at 14.6% compared to 0.0% in Warren.
- Iuka has higher obesity rates at 40.0% compared to 0.0% in Warren.
- There is a higher percentage of disabled individuals in Iuka at 19.0% compared to 0.0% in Warren.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Warren | Iuka |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 2.4% (75) |
| High School Diploma | 0.0% (Data is updating) | 19.9% (616) |
| Less than High School | 0.0% (Data is updating) | 21.0% (650) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 11.2% (348) |
Education Levels Comparison: Warren vs Iuka
- In Iuka, a larger percentage of residents lack formal schooling at 2.4% compared to 0.0% in Warren.
- In Iuka, the rate of residents with high school diplomas is higher at 19.9% compared to 0.0% in Warren.
- The percentage of residents with less than a high school education is higher in Iuka at 21.0%, compared to 0.0% in Warren.
- In Iuka, a larger share of residents have a bachelor's degree or higher at 11.2% compared to 0.0% in Warren.
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.