Demographics details for Churchville, VA vs Sudan, TX
Population Overview
Compare main population characteristics in Churchville, VA vs Sudan, TX.
Data | Churchville | Sudan |
---|---|---|
Population | 61 | 928 |
Median Age | 59.7 years | 30.9 years |
Median Income | $81,220 | $69,175 |
Married Families | 59.0% | 40.0% |
Poverty Level | Data is updating | 12% |
Unemployment Rate | Data is updating | 2.2 |
Population Comparison: Churchville vs Sudan
- The population in Sudan is higher at 928, compared to 61 in Churchville.
- Residents in Churchville have a higher median age of 59.7 years compared to 30.9 years in Sudan.
- Churchville has a higher median income of $81,220 compared to $69,175 in Sudan.
- A higher percentage of married families is found in Churchville at 59.0% compared to 40.0% in Sudan.
- The poverty level is higher in Sudan at 12%, compared to 0% in Churchville.
- Sudan has a higher unemployment rate at 2.2% compared to 0.0% in Churchville.
Demographics
Demographics Churchville vs Sudan provide insight into the diversity of the communities to compare.
Demographic | Churchville | Sudan |
---|---|---|
Black | Data is updating | 2 |
White | 100 | 29 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 58 |
Two or More Races | Data is updating | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Churchville vs Sudan
- In Sudan, the percentage of Black residents is higher at 2% compared to 0% in Churchville.
- Churchville has a higher percentage of White residents at 100% compared to 29% in Sudan.
- Both Churchville and Sudan have the same percentage of Asian residents at 0%.
- Sudan has a higher percentage of Hispanic residents at 58%, compared to 0% in Churchville.
- The percentage of residents identifying as two or more races is higher in Sudan at 11%, compared to 0% in Churchville.
- The percentage of American Indian residents is the same in both Churchville and Sudan at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Churchville | Sudan |
---|---|---|
Mental Health Not Good | 17.2% | 18.2% |
Physical Health Not Good | 10.3% | 13.3% |
Depression | 24.9% | 24.0% |
Smoking | 16.6% | 18.5% |
Binge Drinking | 18.9% | 17.6% |
Obesity | 34.4% | 37.3% |
Disability Percentage | Data is updating% | 19.0% |
Health Statistics Comparison: Churchville vs Sudan
- In Sudan, a higher percentage report poor mental health at 18.2% compared to 17.2% in Churchville.
- Depression is more prevalent in Churchville at 24.9% compared to 24.0% in Sudan.
- Sudan has a higher smoking rate at 18.5% compared to 16.6% in Churchville.
- Binge drinking is more common in Churchville at 18.9% compared to 17.6% in Sudan.
- Sudan has higher obesity rates at 37.3% compared to 34.4% in Churchville.
- There is a higher percentage of disabled individuals in Sudan at 19.0% compared to 0.0% in Churchville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Churchville | Sudan |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.0% (19) |
High School Diploma | 0.0% (Data is updating) | 25.5% (237) |
Less than High School | 0.0% (Data is updating) | 16.4% (152) |
Bachelor's Degree and Higher | 50.8% (31) | 10.9% (101) |
Education Levels Comparison: Churchville vs Sudan
- In Sudan, a larger percentage of residents lack formal schooling at 2.0% compared to 0.0% in Churchville.
- In Sudan, the rate of residents with high school diplomas is higher at 25.5% compared to 0.0% in Churchville.
- The percentage of residents with less than a high school education is higher in Sudan at 16.4%, compared to 0.0% in Churchville.
- A higher percentage of residents in Churchville hold a bachelor's degree or higher at 50.8% 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.