Demographics details for Hicksville, OH vs Orange, CA
Population Overview
Compare main population characteristics in Hicksville, OH vs Orange, CA.
| Data | Hicksville | Orange |
|---|---|---|
| Population | 3,417 | 136,178 |
| Median Age | 35.5 years | 36.5 years |
| Median Income | $59,096 | $109,335 |
| Married Families | 31.0% | 40.0% |
| Poverty Level | 9% | 9% |
| Unemployment Rate | 3.5 | 4.1 |
Population Comparison: Hicksville vs Orange
- The population in Orange is higher at 136,178, compared to 3,417 in Hicksville.
- The median age in Orange is higher at 36.5 years, compared to 35.5 years in Hicksville.
- Orange has a higher median income of $109,335, compared to $59,096 in Hicksville.
- In Orange, the percentage of married families is higher at 40.0%, compared to 31.0% in Hicksville.
- The poverty level is identical in both Hicksville and Orange at 9%.
- Orange has a higher unemployment rate at 4.1% compared to 3.5% in Hicksville.
Demographics
Demographics Hicksville vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Hicksville | Orange |
|---|---|---|
| Black | 1 | 2 |
| White | 85 | 29 |
| Asian | Data is updating | 14 |
| Hispanic | 12 | 40 |
| Two or More Races | 2 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Hicksville vs Orange
- In Orange, the percentage of Black residents is higher at 2% compared to 1% in Hicksville.
- Hicksville has a higher percentage of White residents at 85% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 0% in Hicksville.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 12% in Hicksville.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 2% in Hicksville.
- In Orange, the percentage of American Indian residents is higher at 1%, compared to 0% in Hicksville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hicksville | Orange |
|---|---|---|
| Mental Health Not Good | 17.0% | 14.9% |
| Physical Health Not Good | 11.4% | 10.2% |
| Depression | 22.9% | 17.9% |
| Smoking | 19.8% | 10.5% |
| Binge Drinking | 18.7% | 16.8% |
| Obesity | 39.6% | 27.1% |
| Disability Percentage | 11.0% | 8.0% |
Health Statistics Comparison: Hicksville vs Orange
- More residents in Hicksville report poor mental health at 17.0% compared to 14.9% in Orange.
- Depression is more prevalent in Hicksville at 22.9% compared to 17.9% in Orange.
- Smoking is more prevalent in Hicksville at 19.8% compared to 10.5% in Orange.
- Binge drinking is more common in Hicksville at 18.7% compared to 16.8% in Orange.
- Obesity rates are higher in Hicksville at 39.6% compared to 27.1% in Orange.
- Disability percentages are higher in Hicksville at 11.0% 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 | Hicksville | Orange |
|---|---|---|
| No Schooling | 0.6% (20) | 1.8% (2,483) |
| High School Diploma | 25.7% (879) | 11.0% (14,986) |
| Less than High School | 13.9% (476) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 8.0% (272) | 28.2% (38,372) |
Education Levels Comparison: Hicksville vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% compared to 0.6% in Hicksville.
- A higher percentage of residents in Hicksville hold a high school diploma at 25.7% 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 13.9% in Hicksville.
- In Orange, a larger share of residents have a bachelor's degree or higher at 28.2% compared to 8.0% in Hicksville.
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.