Demographics details for Little rock, AR vs Sudan, TX
Population Overview
Compare main population characteristics in Little rock, AR vs Sudan, TX.
| Data | Little rock | Sudan |
|---|---|---|
| Population | 202,864 | 928 |
| Median Age | 36.6 years | 30.9 years |
| Median Income | $58,697 | $69,175 |
| Married Families | 32.0% | 40.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 3.7 | 2.2 |
Population Comparison: Little rock vs Sudan
- In Little rock, the population is higher at 202,864, compared to 928 in Sudan.
- Residents in Little rock have a higher median age of 36.6 years compared to 30.9 years in Sudan.
- Sudan has a higher median income of $69,175, compared to $58,697 in Little rock.
- In Sudan, the percentage of married families is higher at 40.0%, compared to 32.0% in Little rock.
- Little rock has a higher poverty level at 14% compared to 12% in Sudan.
- The unemployment rate in Little rock is higher at 3.7%, compared to 2.2% in Sudan.
Demographics
Demographics Little rock vs Sudan provide insight into the diversity of the communities to compare.
| Demographic | Little rock | Sudan |
|---|---|---|
| Black | 41 | 2 |
| White | 44 | 29 |
| Asian | 3 | Data is updating |
| Hispanic | 8 | 58 |
| Two or More Races | 4 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Little rock vs Sudan
- A higher percentage of Black residents are in Little rock at 41% compared to 2% in Sudan.
- Little rock has a higher percentage of White residents at 44% compared to 29% in Sudan.
- The Asian population is larger in Little rock at 3% compared to 0% in Sudan.
- Sudan has a higher percentage of Hispanic residents at 58%, compared to 8% in Little rock.
- The percentage of residents identifying as two or more races is higher in Sudan at 11%, compared to 4% in Little rock.
- The percentage of American Indian residents is the same in both Little rock and Sudan at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Little rock | Sudan |
|---|---|---|
| Mental Health Not Good | 16.9% | 18.2% |
| Physical Health Not Good | 12.0% | 13.3% |
| Depression | 21.9% | 24.0% |
| Smoking | 19.0% | 18.5% |
| Binge Drinking | 12.9% | 17.6% |
| Obesity | 39.0% | 37.3% |
| Disability Percentage | 13.0% | 19.0% |
Health Statistics Comparison: Little rock vs Sudan
- In Sudan, a higher percentage report poor mental health at 18.2% compared to 16.9% in Little rock.
- Higher depression rates are seen in Sudan at 24.0% versus 21.9% in Little rock.
- Smoking is more prevalent in Little rock at 19.0% compared to 18.5% in Sudan.
- More residents engage in binge drinking in Sudan at 17.6% compared to 12.9% in Little rock.
- Obesity rates are higher in Little rock at 39.0% compared to 37.3% in Sudan.
- There is a higher percentage of disabled individuals in Sudan at 19.0% compared to 13.0% in Little rock.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Little rock | Sudan |
|---|---|---|
| No Schooling | 0.7% (1,359) | 2.0% (19) |
| High School Diploma | 12.2% (24,667) | 25.5% (237) |
| Less than High School | 7.3% (14,766) | 16.4% (152) |
| Bachelor's Degree and Higher | 29.4% (59,641) | 10.9% (101) |
Education Levels Comparison: Little rock vs Sudan
- In Sudan, a larger percentage of residents lack formal schooling at 2.0% compared to 0.7% in Little rock.
- In Sudan, the rate of residents with high school diplomas is higher at 25.5% compared to 12.2% in Little rock.
- The percentage of residents with less than a high school education is higher in Sudan at 16.4%, compared to 7.3% in Little rock.
- A higher percentage of residents in Little rock hold a bachelor's degree or higher at 29.4% 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.