Demographics details for West liberty, OH vs Sudan, TX
Population Overview
Compare main population characteristics in West liberty, OH vs Sudan, TX.
| Data | West liberty | Sudan |
|---|---|---|
| Population | 1,759 | 928 |
| Median Age | 41.8 years | 30.9 years |
| Median Income | $58,417 | $69,175 |
| Married Families | 43.0% | 40.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.3 | 2.2 |
Population Comparison: West liberty vs Sudan
- In West liberty, the population is higher at 1,759, compared to 928 in Sudan.
- Residents in West liberty have a higher median age of 41.8 years compared to 30.9 years in Sudan.
- Sudan has a higher median income of $69,175, compared to $58,417 in West liberty.
- A higher percentage of married families is found in West liberty at 43.0% compared to 40.0% in Sudan.
- The poverty level is higher in Sudan at 12%, compared to 10% in West liberty.
- The unemployment rate in West liberty is higher at 4.3%, compared to 2.2% in Sudan.
Demographics
Demographics West liberty vs Sudan provide insight into the diversity of the communities to compare.
| Demographic | West liberty | Sudan |
|---|---|---|
| Black | Data is updating | 2 |
| White | 93 | 29 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 58 |
| Two or More Races | 2 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: West liberty vs Sudan
- In Sudan, the percentage of Black residents is higher at 2% compared to 0% in West liberty.
- West liberty has a higher percentage of White residents at 93% compared to 29% in Sudan.
- Both West liberty and Sudan have the same percentage of Asian residents at 0%.
- Sudan has a higher percentage of Hispanic residents at 58%, compared to 5% in West liberty.
- The percentage of residents identifying as two or more races is higher in Sudan at 11%, compared to 2% in West liberty.
- The percentage of American Indian residents is the same in both West liberty and Sudan at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | West liberty | Sudan |
|---|---|---|
| Mental Health Not Good | 16.9% | 18.2% |
| Physical Health Not Good | 10.6% | 13.3% |
| Depression | 24.6% | 24.0% |
| Smoking | 18.6% | 18.5% |
| Binge Drinking | 19.2% | 17.6% |
| Obesity | 37.9% | 37.3% |
| Disability Percentage | 16.0% | 19.0% |
Health Statistics Comparison: West liberty vs Sudan
- In Sudan, a higher percentage report poor mental health at 18.2% compared to 16.9% in West liberty.
- Depression is more prevalent in West liberty at 24.6% compared to 24.0% in Sudan.
- Smoking is more prevalent in West liberty at 18.6% compared to 18.5% in Sudan.
- Binge drinking is more common in West liberty at 19.2% compared to 17.6% in Sudan.
- Obesity rates are higher in West liberty at 37.9% compared to 37.3% in Sudan.
- There is a higher percentage of disabled individuals in Sudan at 19.0% compared to 16.0% in West liberty.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | West liberty | Sudan |
|---|---|---|
| No Schooling | 0.7% (13) | 2.0% (19) |
| High School Diploma | 25.7% (452) | 25.5% (237) |
| Less than High School | 3.8% (67) | 16.4% (152) |
| Bachelor's Degree and Higher | 12.5% (219) | 10.9% (101) |
Education Levels Comparison: West liberty vs Sudan
- In Sudan, a larger percentage of residents lack formal schooling at 2.0% compared to 0.7% in West liberty.
- A higher percentage of residents in West liberty hold a high school diploma at 25.7% compared to 25.5% in Sudan.
- The percentage of residents with less than a high school education is higher in Sudan at 16.4%, compared to 3.8% in West liberty.
- A higher percentage of residents in West liberty hold a bachelor's degree or higher at 12.5% compared to 10.9% in Sudan.
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.