Demographics details for Wiota, IA vs Orange, CA
Population Overview
Compare main population characteristics in Wiota, IA vs Orange, CA.
| Data | Wiota | Orange |
|---|---|---|
| Population | 91 | 136,178 |
| Median Age | 70.0 years | 36.5 years |
| Median Income | $73,403 | $109,335 |
| Married Families | 71.0% | 40.0% |
| Poverty Level | Data is updating | 9% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Wiota vs Orange
- The population in Orange is higher at 136,178, compared to 91 in Wiota.
- Residents in Wiota have a higher median age of 70.0 years compared to 36.5 years in Orange.
- Orange has a higher median income of $109,335, compared to $73,403 in Wiota.
- A higher percentage of married families is found in Wiota at 71.0% compared to 40.0% in Orange.
- The poverty level is higher in Orange at 9%, compared to 0% in Wiota.
- Orange has a higher unemployment rate at 4.1% compared to 3.5% in Wiota.
Demographics
Demographics Wiota vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Wiota | Orange |
|---|---|---|
| Black | Data is updating | 2 |
| White | 100 | 29 |
| Asian | Data is updating | 14 |
| Hispanic | Data is updating | 40 |
| Two or More Races | Data is updating | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Wiota vs Orange
- In Orange, the percentage of Black residents is higher at 2% compared to 0% in Wiota.
- Wiota has a higher percentage of White residents at 100% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 0% in Wiota.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 0% in Wiota.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 0% in Wiota.
- In Orange, the percentage of American Indian residents is higher at 1%, compared to 0% in Wiota.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Wiota | Orange |
|---|---|---|
| Mental Health Not Good | 15.3% | 14.9% |
| Physical Health Not Good | 9.9% | 10.2% |
| Depression | 18.3% | 17.9% |
| Smoking | 18.7% | 10.5% |
| Binge Drinking | 22.8% | 16.8% |
| Obesity | 41.9% | 27.1% |
| Disability Percentage | 27.0% | 8.0% |
Health Statistics Comparison: Wiota vs Orange
- More residents in Wiota report poor mental health at 15.3% compared to 14.9% in Orange.
- Depression is more prevalent in Wiota at 18.3% compared to 17.9% in Orange.
- Smoking is more prevalent in Wiota at 18.7% compared to 10.5% in Orange.
- Binge drinking is more common in Wiota at 22.8% compared to 16.8% in Orange.
- Obesity rates are higher in Wiota at 41.9% compared to 27.1% in Orange.
- Disability percentages are higher in Wiota at 27.0% compared to 8.0% in Orange.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Wiota | Orange |
|---|---|---|
| No Schooling | 2.2% (2) | 1.8% (2,483) |
| High School Diploma | 35.2% (32) | 11.0% (14,986) |
| Less than High School | 4.4% (4) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 9.9% (9) | 28.2% (38,372) |
Education Levels Comparison: Wiota vs Orange
- A higher percentage of residents in Wiota have no formal schooling at 2.2% compared to 1.8% in Orange.
- A higher percentage of residents in Wiota hold a high school diploma at 35.2% compared to 11.0% in Orange.
- The percentage of residents with less than a high school education is higher in Orange at 15.5%, compared to 4.4% in Wiota.
- In Orange, a larger share of residents have a bachelor's degree or higher at 28.2% compared to 9.9% in Wiota.
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.