Demographics details for Wichita falls, TX vs Sidney, IA
Population Overview
Compare main population characteristics in Wichita falls, TX vs Sidney, IA.
Data | Wichita falls | Sidney |
---|---|---|
Population | 102,664 | 1,037 |
Median Age | 32.8 years | 41.7 years |
Median Income | $55,584 | $64,500 |
Married Families | 34.0% | 31.0% |
Poverty Level | 14% | 10% |
Unemployment Rate | 4.9 | 3.0 |
Population Comparison: Wichita falls vs Sidney
- In Wichita falls, the population is higher at 102,664, compared to 1,037 in Sidney.
- The median age in Sidney is higher at 41.7 years, compared to 32.8 years in Wichita falls.
- Sidney has a higher median income of $64,500, compared to $55,584 in Wichita falls.
- A higher percentage of married families is found in Wichita falls at 34.0% compared to 31.0% in Sidney.
- Wichita falls has a higher poverty level at 14% compared to 10% in Sidney.
- The unemployment rate in Wichita falls is higher at 4.9%, compared to 3.0% in Sidney.
Demographics
Demographics Wichita falls vs Sidney provide insight into the diversity of the communities to compare.
Demographic | Wichita falls | Sidney |
---|---|---|
Black | 12 | 1 |
White | 54 | 88 |
Asian | 3 | Data is updating |
Hispanic | 22 | 4 |
Two or More Races | 8 | 7 |
American Indian | 1 | Data is updating |
Demographics Comparison: Wichita falls vs Sidney
- A higher percentage of Black residents are in Wichita falls at 12% compared to 1% in Sidney.
- The percentage of White residents is higher in Sidney at 88% compared to 54% in Wichita falls.
- The Asian population is larger in Wichita falls at 3% compared to 0% in Sidney.
- The Hispanic community is larger in Wichita falls at 22% compared to 4% in Sidney.
- More residents identify as two or more races in Wichita falls at 8% compared to 7% in Sidney.
- A greater percentage of American Indian residents live in Wichita falls at 1% compared to 0% in Sidney.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wichita falls | Sidney |
---|---|---|
Mental Health Not Good | 18.3% | 16.4% |
Physical Health Not Good | 12.5% | 10.7% |
Depression | 24.6% | 20.0% |
Smoking | 18.6% | 19.1% |
Binge Drinking | 18.7% | 20.8% |
Obesity | 37.1% | 39.2% |
Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Wichita falls vs Sidney
- More residents in Wichita falls report poor mental health at 18.3% compared to 16.4% in Sidney.
- Depression is more prevalent in Wichita falls at 24.6% compared to 20.0% in Sidney.
- Sidney has a higher smoking rate at 19.1% compared to 18.6% in Wichita falls.
- More residents engage in binge drinking in Sidney at 20.8% compared to 18.7% in Wichita falls.
- Sidney has higher obesity rates at 39.2% compared to 37.1% in Wichita falls.
- There is a higher percentage of disabled individuals in Sidney at 16.0% compared to 13.0% in Wichita falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wichita falls | Sidney |
---|---|---|
No Schooling | 1.0% (1,035) | 0.0% (Data is updating) |
High School Diploma | 15.1% (15,510) | 20.9% (217) |
Less than High School | 14.6% (14,970) | 8.1% (84) |
Bachelor's Degree and Higher | 15.1% (15,550) | 11.6% (120) |
Education Levels Comparison: Wichita falls vs Sidney
- A higher percentage of residents in Wichita falls have no formal schooling at 1.0% compared to 0.0% in Sidney.
- In Sidney, the rate of residents with high school diplomas is higher at 20.9% compared to 15.1% in Wichita falls.
- More residents in Wichita falls have less than a high school education at 14.6% compared to 8.1% in Sidney.
- A higher percentage of residents in Wichita falls hold a bachelor's degree or higher at 15.1% compared to 11.6% in Sidney.
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.