Demographics details for Lewiston, ID vs Sudan, TX
Population Overview
Compare main population characteristics in Lewiston, ID vs Sudan, TX.
Data | Lewiston | Sudan |
---|---|---|
Population | 34,896 | 928 |
Median Age | 39.8 years | 30.9 years |
Median Income | $63,109 | $69,175 |
Married Families | 39.0% | 40.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 3.1 | 2.2 |
Population Comparison: Lewiston vs Sudan
- In Lewiston, the population is higher at 34,896, compared to 928 in Sudan.
- Residents in Lewiston have a higher median age of 39.8 years compared to 30.9 years in Sudan.
- Sudan has a higher median income of $69,175, compared to $63,109 in Lewiston.
- In Sudan, the percentage of married families is higher at 40.0%, compared to 39.0% in Lewiston.
- The poverty level is higher in Sudan at 12%, compared to 10% in Lewiston.
- The unemployment rate in Lewiston is higher at 3.1%, compared to 2.2% in Sudan.
Demographics
Demographics Lewiston vs Sudan provide insight into the diversity of the communities to compare.
Demographic | Lewiston | Sudan |
---|---|---|
Black | Data is updating | 2 |
White | 89 | 29 |
Asian | 1 | Data is updating |
Hispanic | 4 | 58 |
Two or More Races | 5 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Lewiston vs Sudan
- In Sudan, the percentage of Black residents is higher at 2% compared to 0% in Lewiston.
- Lewiston has a higher percentage of White residents at 89% compared to 29% in Sudan.
- The Asian population is larger in Lewiston at 1% compared to 0% in Sudan.
- Sudan has a higher percentage of Hispanic residents at 58%, compared to 4% in Lewiston.
- The percentage of residents identifying as two or more races is higher in Sudan at 11%, compared to 5% in Lewiston.
- A greater percentage of American Indian residents live in Lewiston at 1% compared to 0% in Sudan.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lewiston | Sudan |
---|---|---|
Mental Health Not Good | 16.6% | 18.2% |
Physical Health Not Good | 11.8% | 13.3% |
Depression | 24.4% | 24.0% |
Smoking | 15.8% | 18.5% |
Binge Drinking | 18.4% | 17.6% |
Obesity | 36.2% | 37.3% |
Disability Percentage | 17.0% | 19.0% |
Health Statistics Comparison: Lewiston vs Sudan
- In Sudan, a higher percentage report poor mental health at 18.2% compared to 16.6% in Lewiston.
- Depression is more prevalent in Lewiston at 24.4% compared to 24.0% in Sudan.
- Sudan has a higher smoking rate at 18.5% compared to 15.8% in Lewiston.
- Binge drinking is more common in Lewiston at 18.4% compared to 17.6% in Sudan.
- Sudan has higher obesity rates at 37.3% compared to 36.2% in Lewiston.
- There is a higher percentage of disabled individuals in Sudan at 19.0% compared to 17.0% in Lewiston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lewiston | Sudan |
---|---|---|
No Schooling | 0.8% (292) | 2.0% (19) |
High School Diploma | 16.0% (5,600) | 25.5% (237) |
Less than High School | 9.3% (3,257) | 16.4% (152) |
Bachelor's Degree and Higher | 17.6% (6,140) | 10.9% (101) |
Education Levels Comparison: Lewiston vs Sudan
- In Sudan, a larger percentage of residents lack formal schooling at 2.0% compared to 0.8% in Lewiston.
- In Sudan, the rate of residents with high school diplomas is higher at 25.5% compared to 16.0% in Lewiston.
- The percentage of residents with less than a high school education is higher in Sudan at 16.4%, compared to 9.3% in Lewiston.
- A higher percentage of residents in Lewiston hold 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.