Demographics details for Sterling, IL vs Wheeler, TX
Population Overview
Compare main population characteristics in Sterling, IL vs Wheeler, TX.
Data | Sterling | Wheeler |
---|---|---|
Population | 14,566 | 4,807 |
Median Age | 43.0 years | 40.0 years |
Median Income | $49,007 | $58,158 |
Married Families | 32.0% | 49.0% |
Poverty Level | 12% | 14% |
Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Sterling vs Wheeler
- In Sterling, the population is higher at 14,566, compared to 4,807 in Wheeler.
- Residents in Sterling have a higher median age of 43.0 years compared to 40.0 years in Wheeler.
- Wheeler has a higher median income of $58,158, compared to $49,007 in Sterling.
- In Wheeler, the percentage of married families is higher at 49.0%, compared to 32.0% in Sterling.
- The poverty level is higher in Wheeler at 14%, compared to 12% in Sterling.
- The unemployment rate in Sterling is higher at 4.2%, compared to 4.1% in Wheeler.
Demographics
Demographics Sterling vs Wheeler provide insight into the diversity of the communities to compare.
Demographic | Sterling | Wheeler |
---|---|---|
Black | 2 | 3 |
White | 56 | 63 |
Asian | 2 | Data is updating |
Hispanic | 27 | 26 |
Two or More Races | 12 | 8 |
American Indian | 1 | Data is updating |
Demographics Comparison: Sterling vs Wheeler
- In Wheeler, the percentage of Black residents is higher at 3% compared to 2% in Sterling.
- The percentage of White residents is higher in Wheeler at 63% compared to 56% in Sterling.
- The Asian population is larger in Sterling at 2% compared to 0% in Wheeler.
- The Hispanic community is larger in Sterling at 27% compared to 26% in Wheeler.
- More residents identify as two or more races in Sterling at 12% compared to 8% in Wheeler.
- A greater percentage of American Indian residents live in Sterling at 1% compared to 0% in Wheeler.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sterling | Wheeler |
---|---|---|
Mental Health Not Good | 16.7% | 18.9% |
Physical Health Not Good | 12.2% | 13.6% |
Depression | 22.2% | 24.8% |
Smoking | 18.6% | 20.3% |
Binge Drinking | 17.4% | 17.8% |
Obesity | 39.5% | 39.0% |
Disability Percentage | 17.0% | 16.0% |
Health Statistics Comparison: Sterling vs Wheeler
- In Wheeler, a higher percentage report poor mental health at 18.9% compared to 16.7% in Sterling.
- Higher depression rates are seen in Wheeler at 24.8% versus 22.2% in Sterling.
- Wheeler has a higher smoking rate at 20.3% compared to 18.6% in Sterling.
- More residents engage in binge drinking in Wheeler at 17.8% compared to 17.4% in Sterling.
- Obesity rates are higher in Sterling at 39.5% compared to 39.0% in Wheeler.
- Disability percentages are higher in Sterling at 17.0% compared to 16.0% in Wheeler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sterling | Wheeler |
---|---|---|
No Schooling | 1.1% (164) | 1.2% (59) |
High School Diploma | 24.1% (3,511) | 23.7% (1,141) |
Less than High School | 13.8% (2,012) | 19.7% (948) |
Bachelor's Degree and Higher | 11.8% (1,713) | 12.4% (596) |
Education Levels Comparison: Sterling vs Wheeler
- In Wheeler, a larger percentage of residents lack formal schooling at 1.2% compared to 1.1% in Sterling.
- A higher percentage of residents in Sterling hold a high school diploma at 24.1% compared to 23.7% in Wheeler.
- The percentage of residents with less than a high school education is higher in Wheeler at 19.7%, compared to 13.8% in Sterling.
- In Wheeler, a larger share of residents have a bachelor's degree or higher at 12.4% compared to 11.8% in Sterling.
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.