Demographics details for Sudan, TX vs Fayetteville, NC
Population Overview
Compare main population characteristics in Sudan, TX vs Fayetteville, NC.
| Data | Sudan | Fayetteville |
|---|---|---|
| Population | 928 | 208,873 |
| Median Age | 30.9 years | 30.5 years |
| Median Income | $69,175 | $53,424 |
| Married Families | 40.0% | 33.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 2.2 | 5.9 |
Population Comparison: Sudan vs Fayetteville
- The population in Fayetteville is higher at 208,873, compared to 928 in Sudan.
- Residents in Sudan have a higher median age of 30.9 years compared to 30.5 years in Fayetteville.
- Sudan has a higher median income of $69,175 compared to $53,424 in Fayetteville.
- A higher percentage of married families is found in Sudan at 40.0% compared to 33.0% in Fayetteville.
- The poverty level is higher in Fayetteville at 14%, compared to 12% in Sudan.
- Fayetteville has a higher unemployment rate at 5.9% compared to 2.2% in Sudan.
Demographics
Demographics Sudan vs Fayetteville provide insight into the diversity of the communities to compare.
| Demographic | Sudan | Fayetteville |
|---|---|---|
| Black | 2 | 42 |
| White | 29 | 31 |
| Asian | Data is updating | 3 |
| Hispanic | 58 | 13 |
| Two or More Races | 11 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Sudan vs Fayetteville
- In Fayetteville, the percentage of Black residents is higher at 42% compared to 2% in Sudan.
- The percentage of White residents is higher in Fayetteville at 31% compared to 29% in Sudan.
- In Fayetteville, the Asian population stands at 3%, greater than 0% in Sudan.
- The Hispanic community is larger in Sudan at 58% compared to 13% in Fayetteville.
- More residents identify as two or more races in Sudan at 11% compared to 10% in Fayetteville.
- In Fayetteville, the percentage of American Indian residents is higher at 1%, compared to 0% in Sudan.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sudan | Fayetteville |
|---|---|---|
| Mental Health Not Good | 18.2% | 17.3% |
| Physical Health Not Good | 13.3% | 12.1% |
| Depression | 24.0% | 24.0% |
| Smoking | 18.5% | 17.6% |
| Binge Drinking | 17.6% | 16.6% |
| Obesity | 37.3% | 40.7% |
| Disability Percentage | 19.0% | 14.0% |
Health Statistics Comparison: Sudan vs Fayetteville
- More residents in Sudan report poor mental health at 18.2% compared to 17.3% in Fayetteville.
- Both cities have comparable depression rates at 24.0%.
- Smoking is more prevalent in Sudan at 18.5% compared to 17.6% in Fayetteville.
- Binge drinking is more common in Sudan at 17.6% compared to 16.6% in Fayetteville.
- Fayetteville has higher obesity rates at 40.7% compared to 37.3% in Sudan.
- Disability percentages are higher in Sudan at 19.0% compared to 14.0% in Fayetteville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sudan | Fayetteville |
|---|---|---|
| No Schooling | 2.0% (19) | 0.6% (1,184) |
| High School Diploma | 25.5% (237) | 13.7% (28,602) |
| Less than High School | 16.4% (152) | 6.1% (12,639) |
| Bachelor's Degree and Higher | 10.9% (101) | 17.6% (36,676) |
Education Levels Comparison: Sudan vs Fayetteville
- A higher percentage of residents in Sudan have no formal schooling at 2.0% compared to 0.6% in Fayetteville.
- A higher percentage of residents in Sudan hold a high school diploma at 25.5% compared to 13.7% in Fayetteville.
- More residents in Sudan have less than a high school education at 16.4% compared to 6.1% in Fayetteville.
- In Fayetteville, a larger share of residents have a bachelor's degree or higher at 17.6% 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.