Demographics details for Orange, CA vs Iowa city, IA
Population Overview
Compare main population characteristics in Orange, CA vs Iowa city, IA.
Data | Orange | Iowa city |
---|---|---|
Population | 136,178 | 75,233 |
Median Age | 36.5 years | 26.0 years |
Median Income | $109,335 | $54,879 |
Married Families | 40.0% | 29.0% |
Poverty Level | 9% | 14% |
Unemployment Rate | 4.1 | 2.4 |
Population Comparison: Orange vs Iowa city
- In Orange, the population is higher at 136,178, compared to 75,233 in Iowa city.
- Residents in Orange have a higher median age of 36.5 years compared to 26.0 years in Iowa city.
- Orange has a higher median income of $109,335 compared to $54,879 in Iowa city.
- A higher percentage of married families is found in Orange at 40.0% compared to 29.0% in Iowa city.
- The poverty level is higher in Iowa city at 14%, compared to 9% in Orange.
- The unemployment rate in Orange is higher at 4.1%, compared to 2.4% in Iowa city.
Demographics
Demographics Orange vs Iowa city provide insight into the diversity of the communities to compare.
Demographic | Orange | Iowa city |
---|---|---|
Black | 2 | 8 |
White | 29 | 72 |
Asian | 14 | 8 |
Hispanic | 40 | 7 |
Two or More Races | 14 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Orange vs Iowa city
- In Iowa city, the percentage of Black residents is higher at 8% compared to 2% in Orange.
- The percentage of White residents is higher in Iowa city at 72% compared to 29% in Orange.
- The Asian population is larger in Orange at 14% compared to 8% in Iowa city.
- The Hispanic community is larger in Orange at 40% compared to 7% in Iowa city.
- More residents identify as two or more races in Orange at 14% compared to 5% in Iowa city.
- A greater percentage of American Indian residents live in Orange at 1% compared to 0% in Iowa city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Orange | Iowa city |
---|---|---|
Mental Health Not Good | 14.9% | 15.6% |
Physical Health Not Good | 10.2% | 9.2% |
Depression | 17.9% | 19.6% |
Smoking | 10.5% | 15.0% |
Binge Drinking | 16.8% | 20.4% |
Obesity | 27.1% | 33.9% |
Disability Percentage | 8.0% | 8.0% |
Health Statistics Comparison: Orange vs Iowa city
- In Iowa city, a higher percentage report poor mental health at 15.6% compared to 14.9% in Orange.
- Higher depression rates are seen in Iowa city at 19.6% versus 17.9% in Orange.
- Iowa city has a higher smoking rate at 15.0% compared to 10.5% in Orange.
- More residents engage in binge drinking in Iowa city at 20.4% compared to 16.8% in Orange.
- Iowa city has higher obesity rates at 33.9% compared to 27.1% in Orange.
- Disability percentages are the same in both Orange and Iowa city at 8.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Orange | Iowa city |
---|---|---|
No Schooling | 1.8% (2,483) | 0.2% (164) |
High School Diploma | 11.0% (14,986) | 6.2% (4,655) |
Less than High School | 15.5% (21,174) | 2.7% (2,064) |
Bachelor's Degree and Higher | 28.2% (38,372) | 30.8% (23,180) |
Education Levels Comparison: Orange vs Iowa city
- A higher percentage of residents in Orange have no formal schooling at 1.8% compared to 0.2% in Iowa city.
- A higher percentage of residents in Orange hold a high school diploma at 11.0% compared to 6.2% in Iowa city.
- More residents in Orange have less than a high school education at 15.5% compared to 2.7% in Iowa city.
- In Iowa city, a larger share of residents have a bachelor's degree or higher at 30.8% compared to 28.2% in Orange.
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.