Demographics details for Wichita falls, TX vs Holland, MI
Population Overview
Compare main population characteristics in Wichita falls, TX vs Holland, MI.
| Data | Wichita falls | Holland |
|---|---|---|
| Population | 102,664 | 34,006 |
| Median Age | 32.8 years | 33.1 years |
| Median Income | $55,584 | $69,152 |
| Married Families | 34.0% | 34.0% |
| Poverty Level | 14% | 10% |
| Unemployment Rate | 4.9 | 4.3 |
Population Comparison: Wichita falls vs Holland
- In Wichita falls, the population is higher at 102,664, compared to 34,006 in Holland.
- The median age in Holland is higher at 33.1 years, compared to 32.8 years in Wichita falls.
- Holland has a higher median income of $69,152, compared to $55,584 in Wichita falls.
- The percentage of married families is the same in both Wichita falls and Holland at 34.0%.
- Wichita falls has a higher poverty level at 14% compared to 10% in Holland.
- The unemployment rate in Wichita falls is higher at 4.9%, compared to 4.3% in Holland.
Demographics
Demographics Wichita falls vs Holland provide insight into the diversity of the communities to compare.
| Demographic | Wichita falls | Holland |
|---|---|---|
| Black | 12 | 6 |
| White | 54 | 56 |
| Asian | 3 | 3 |
| Hispanic | 22 | 24 |
| Two or More Races | 8 | 10 |
| American Indian | 1 | 1 |
Demographics Comparison: Wichita falls vs Holland
- A higher percentage of Black residents are in Wichita falls at 12% compared to 6% in Holland.
- The percentage of White residents is higher in Holland at 56% compared to 54% in Wichita falls.
- Both Wichita falls and Holland have the same percentage of Asian residents at 3%.
- Holland has a higher percentage of Hispanic residents at 24%, compared to 22% in Wichita falls.
- The percentage of residents identifying as two or more races is higher in Holland at 10%, compared to 8% in Wichita falls.
- The percentage of American Indian residents is the same in both Wichita falls and Holland at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wichita falls | Holland |
|---|---|---|
| Mental Health Not Good | 18.3% | 16.2% |
| Physical Health Not Good | 12.5% | 10.5% |
| Depression | 24.6% | 23.4% |
| Smoking | 18.6% | 15.4% |
| Binge Drinking | 18.7% | 18.1% |
| Obesity | 37.1% | 35.7% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Wichita falls vs Holland
- More residents in Wichita falls report poor mental health at 18.3% compared to 16.2% in Holland.
- Depression is more prevalent in Wichita falls at 24.6% compared to 23.4% in Holland.
- Smoking is more prevalent in Wichita falls at 18.6% compared to 15.4% in Holland.
- Binge drinking is more common in Wichita falls at 18.7% compared to 18.1% in Holland.
- Obesity rates are higher in Wichita falls at 37.1% compared to 35.7% in Holland.
- Disability percentages are the same in both Wichita falls and Holland at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wichita falls | Holland |
|---|---|---|
| No Schooling | 1.0% (1,035) | 0.4% (146) |
| High School Diploma | 15.1% (15,510) | 13.4% (4,553) |
| Less than High School | 14.6% (14,970) | 9.6% (3,279) |
| Bachelor's Degree and Higher | 15.1% (15,550) | 20.7% (7,030) |
Education Levels Comparison: Wichita falls vs Holland
- A higher percentage of residents in Wichita falls have no formal schooling at 1.0% compared to 0.4% in Holland.
- A higher percentage of residents in Wichita falls hold a high school diploma at 15.1% compared to 13.4% in Holland.
- More residents in Wichita falls have less than a high school education at 14.6% compared to 9.6% in Holland.
- In Holland, a larger share of residents have a bachelor's degree or higher at 20.7% compared to 15.1% in Wichita falls.
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.