Demographics details for Victoria, TX vs Orland park, IL
Population Overview
Compare main population characteristics in Victoria, TX vs Orland park, IL.
| Data | Victoria | Orland park |
|---|---|---|
| Population | 65,372 | 57,511 |
| Median Age | 34.7 years | 46.6 years |
| Median Income | $64,832 | $97,365 |
| Married Families | 36.0% | 48.0% |
| Poverty Level | 13% | 6% |
| Unemployment Rate | 4.8 | 5.4 |
Population Comparison: Victoria vs Orland park
- In Victoria, the population is higher at 65,372, compared to 57,511 in Orland park.
- The median age in Orland park is higher at 46.6 years, compared to 34.7 years in Victoria.
- Orland park has a higher median income of $97,365, compared to $64,832 in Victoria.
- In Orland park, the percentage of married families is higher at 48.0%, compared to 36.0% in Victoria.
- Victoria has a higher poverty level at 13% compared to 6% in Orland park.
- Orland park has a higher unemployment rate at 5.4% compared to 4.8% in Victoria.
Demographics
Demographics Victoria vs Orland park provide insight into the diversity of the communities to compare.
| Demographic | Victoria | Orland park |
|---|---|---|
| Black | 7 | 4 |
| White | 14 | 76 |
| Asian | 2 | 5 |
| Hispanic | 56 | 10 |
| Two or More Races | 21 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Victoria vs Orland park
- A higher percentage of Black residents are in Victoria at 7% compared to 4% in Orland park.
- The percentage of White residents is higher in Orland park at 76% compared to 14% in Victoria.
- In Orland park, the Asian population stands at 5%, greater than 2% in Victoria.
- The Hispanic community is larger in Victoria at 56% compared to 10% in Orland park.
- More residents identify as two or more races in Victoria at 21% compared to 5% in Orland park.
- The percentage of American Indian residents is the same in both Victoria and Orland park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Victoria | Orland park |
|---|---|---|
| Mental Health Not Good | 18.0% | 13.2% |
| Physical Health Not Good | 13.1% | 8.6% |
| Depression | 23.2% | 18.2% |
| Smoking | 17.6% | 11.7% |
| Binge Drinking | 17.0% | 20.2% |
| Obesity | 41.7% | 26.8% |
| Disability Percentage | 15.0% | 11.0% |
Health Statistics Comparison: Victoria vs Orland park
- More residents in Victoria report poor mental health at 18.0% compared to 13.2% in Orland park.
- Depression is more prevalent in Victoria at 23.2% compared to 18.2% in Orland park.
- Smoking is more prevalent in Victoria at 17.6% compared to 11.7% in Orland park.
- More residents engage in binge drinking in Orland park at 20.2% compared to 17.0% in Victoria.
- Obesity rates are higher in Victoria at 41.7% compared to 26.8% in Orland park.
- Disability percentages are higher in Victoria at 15.0% compared to 11.0% in Orland park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Victoria | Orland park |
|---|---|---|
| No Schooling | 1.4% (904) | 0.5% (297) |
| High School Diploma | 16.1% (10,544) | 16.1% (9,262) |
| Less than High School | 21.7% (14,173) | 8.3% (4,763) |
| Bachelor's Degree and Higher | 12.4% (8,078) | 31.9% (18,372) |
Education Levels Comparison: Victoria vs Orland park
- A higher percentage of residents in Victoria have no formal schooling at 1.4% compared to 0.5% in Orland park.
- Both cities have the same percentage of residents with high school diplomas at 16.1%.
- More residents in Victoria have less than a high school education at 21.7% compared to 8.3% in Orland park.
- In Orland park, a larger share of residents have a bachelor's degree or higher at 31.9% compared to 12.4% in Victoria.
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.