Demographics details for Sudan, TX vs Parksley, VA
Population Overview
Compare main population characteristics in Sudan, TX vs Parksley, VA.
| Data | Sudan | Parksley |
|---|---|---|
| Population | 928 | 808 |
| Median Age | 30.9 years | 43.6 years |
| Median Income | $69,175 | $74,844 |
| Married Families | 40.0% | 31.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 2.2 | 4.5 |
Population Comparison: Sudan vs Parksley
- In Sudan, the population is higher at 928, compared to 808 in Parksley.
- The median age in Parksley is higher at 43.6 years, compared to 30.9 years in Sudan.
- Parksley has a higher median income of $74,844, compared to $69,175 in Sudan.
- A higher percentage of married families is found in Sudan at 40.0% compared to 31.0% in Parksley.
- Sudan has a higher poverty level at 12% compared to 9% in Parksley.
- Parksley has a higher unemployment rate at 4.5% compared to 2.2% in Sudan.
Demographics
Demographics Sudan vs Parksley provide insight into the diversity of the communities to compare.
| Demographic | Sudan | Parksley |
|---|---|---|
| Black | 2 | 35 |
| White | 29 | 46 |
| Asian | Data is updating | Data is updating |
| Hispanic | 58 | 13 |
| Two or More Races | 11 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Sudan vs Parksley
- In Parksley, the percentage of Black residents is higher at 35% compared to 2% in Sudan.
- The percentage of White residents is higher in Parksley at 46% compared to 29% in Sudan.
- Both Sudan and Parksley have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Sudan at 58% compared to 13% in Parksley.
- More residents identify as two or more races in Sudan at 11% compared to 6% in Parksley.
- The percentage of American Indian residents is the same in both Sudan and Parksley at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sudan | Parksley |
|---|---|---|
| Mental Health Not Good | 18.2% | 18.5% |
| Physical Health Not Good | 13.3% | 14.4% |
| Depression | 24.0% | 23.3% |
| Smoking | 18.5% | 22.6% |
| Binge Drinking | 17.6% | 15.6% |
| Obesity | 37.3% | 40.0% |
| Disability Percentage | 19.0% | 10.0% |
Health Statistics Comparison: Sudan vs Parksley
- In Parksley, a higher percentage report poor mental health at 18.5% compared to 18.2% in Sudan.
- Depression is more prevalent in Sudan at 24.0% compared to 23.3% in Parksley.
- Parksley has a higher smoking rate at 22.6% compared to 18.5% in Sudan.
- Binge drinking is more common in Sudan at 17.6% compared to 15.6% in Parksley.
- Parksley has higher obesity rates at 40.0% compared to 37.3% in Sudan.
- Disability percentages are higher in Sudan at 19.0% compared to 10.0% in Parksley.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sudan | Parksley |
|---|---|---|
| No Schooling | 2.0% (19) | 2.0% (16) |
| High School Diploma | 25.5% (237) | 19.1% (154) |
| Less than High School | 16.4% (152) | 22.3% (180) |
| Bachelor's Degree and Higher | 10.9% (101) | 17.9% (145) |
Education Levels Comparison: Sudan vs Parksley
- The percentage of residents with no formal schooling is the same in both Sudan and Parksley at 2.0%.
- A higher percentage of residents in Sudan hold a high school diploma at 25.5% compared to 19.1% in Parksley.
- The percentage of residents with less than a high school education is higher in Parksley at 22.3%, compared to 16.4% in Sudan.
- In Parksley, a larger share of residents have a bachelor's degree or higher at 17.9% 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.