Demographics details for Wichita, KS vs Harvey, IA
Population Overview
Compare main population characteristics in Wichita, KS vs Harvey, IA.
| Data | Wichita | Harvey |
|---|---|---|
| Population | 396,192 | 236 |
| Median Age | 35.4 years | 47.5 years |
| Median Income | $60,712 | $50,313 |
| Married Families | 36.0% | 36.0% |
| Poverty Level | 13% | 8% |
| Unemployment Rate | 4.1 | 3.0 |
Population Comparison: Wichita vs Harvey
- In Wichita, the population is higher at 396,192, compared to 236 in Harvey.
- The median age in Harvey is higher at 47.5 years, compared to 35.4 years in Wichita.
- Wichita has a higher median income of $60,712 compared to $50,313 in Harvey.
- The percentage of married families is the same in both Wichita and Harvey at 36.0%.
- Wichita has a higher poverty level at 13% compared to 8% in Harvey.
- The unemployment rate in Wichita is higher at 4.1%, compared to 3.0% in Harvey.
Demographics
Demographics Wichita vs Harvey provide insight into the diversity of the communities to compare.
| Demographic | Wichita | Harvey |
|---|---|---|
| Black | 10 | Data is updating |
| White | 56 | 97 |
| Asian | 5 | 2 |
| Hispanic | 18 | Data is updating |
| Two or More Races | 10 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Wichita vs Harvey
- A higher percentage of Black residents are in Wichita at 10% compared to 0% in Harvey.
- The percentage of White residents is higher in Harvey at 97% compared to 56% in Wichita.
- The Asian population is larger in Wichita at 5% compared to 2% in Harvey.
- The Hispanic community is larger in Wichita at 18% compared to 0% in Harvey.
- More residents identify as two or more races in Wichita at 10% compared to 1% in Harvey.
- A greater percentage of American Indian residents live in Wichita at 1% compared to 0% in Harvey.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wichita | Harvey |
|---|---|---|
| Mental Health Not Good | 17.1% | 15.3% |
| Physical Health Not Good | 10.7% | 9.6% |
| Depression | 21.2% | 18.9% |
| Smoking | 20.0% | 17.8% |
| Binge Drinking | 16.6% | 22.8% |
| Obesity | 40.4% | 37.5% |
| Disability Percentage | 15.0% | 14.0% |
Health Statistics Comparison: Wichita vs Harvey
- More residents in Wichita report poor mental health at 17.1% compared to 15.3% in Harvey.
- Depression is more prevalent in Wichita at 21.2% compared to 18.9% in Harvey.
- Smoking is more prevalent in Wichita at 20.0% compared to 17.8% in Harvey.
- More residents engage in binge drinking in Harvey at 22.8% compared to 16.6% in Wichita.
- Obesity rates are higher in Wichita at 40.4% compared to 37.5% in Harvey.
- Disability percentages are higher in Wichita at 15.0% compared to 14.0% in Harvey.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wichita | Harvey |
|---|---|---|
| No Schooling | 1.6% (6,509) | 0.0% (Data is updating) |
| High School Diploma | 13.5% (53,581) | 26.7% (63) |
| Less than High School | 13.8% (54,534) | 16.9% (40) |
| Bachelor's Degree and Higher | 20.3% (80,251) | 8.1% (19) |
Education Levels Comparison: Wichita vs Harvey
- A higher percentage of residents in Wichita have no formal schooling at 1.6% compared to 0.0% in Harvey.
- In Harvey, the rate of residents with high school diplomas is higher at 26.7% compared to 13.5% in Wichita.
- The percentage of residents with less than a high school education is higher in Harvey at 16.9%, compared to 13.8% in Wichita.
- A higher percentage of residents in Wichita hold a bachelor's degree or higher at 20.3% compared to 8.1% in Harvey.
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.