Demographics details for Charlotte, NC vs Orland park, IL
Population Overview
Compare main population characteristics in Charlotte, NC vs Orland park, IL.
| Data | Charlotte | Orland park |
|---|---|---|
| Population | 897,720 | 57,511 |
| Median Age | 34.5 years | 46.6 years |
| Median Income | $74,070 | $97,365 |
| Married Families | 33.0% | 48.0% |
| Poverty Level | 12% | 6% |
| Unemployment Rate | 4.0 | 5.4 |
Population Comparison: Charlotte vs Orland park
- In Charlotte, the population is higher at 897,720, compared to 57,511 in Orland park.
- The median age in Orland park is higher at 46.6 years, compared to 34.5 years in Charlotte.
- Orland park has a higher median income of $97,365, compared to $74,070 in Charlotte.
- In Orland park, the percentage of married families is higher at 48.0%, compared to 33.0% in Charlotte.
- Charlotte has a higher poverty level at 12% compared to 6% in Orland park.
- Orland park has a higher unemployment rate at 5.4% compared to 4.0% in Charlotte.
Demographics
Demographics Charlotte vs Orland park provide insight into the diversity of the communities to compare.
| Demographic | Charlotte | Orland park |
|---|---|---|
| Black | 34 | 4 |
| White | 38 | 76 |
| Asian | 6 | 5 |
| Hispanic | 15 | 10 |
| Two or More Races | 7 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Charlotte vs Orland park
- A higher percentage of Black residents are in Charlotte at 34% compared to 4% in Orland park.
- The percentage of White residents is higher in Orland park at 76% compared to 38% in Charlotte.
- The Asian population is larger in Charlotte at 6% compared to 5% in Orland park.
- The Hispanic community is larger in Charlotte at 15% compared to 10% in Orland park.
- More residents identify as two or more races in Charlotte at 7% compared to 5% in Orland park.
- The percentage of American Indian residents is the same in both Charlotte and Orland park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Charlotte | Orland park |
|---|---|---|
| Mental Health Not Good | 14.7% | 13.2% |
| Physical Health Not Good | 10.1% | 8.6% |
| Depression | 20.1% | 18.2% |
| Smoking | 13.9% | 11.7% |
| Binge Drinking | 17.5% | 20.2% |
| Obesity | 34.7% | 26.8% |
| Disability Percentage | 8.0% | 11.0% |
Health Statistics Comparison: Charlotte vs Orland park
- More residents in Charlotte report poor mental health at 14.7% compared to 13.2% in Orland park.
- Depression is more prevalent in Charlotte at 20.1% compared to 18.2% in Orland park.
- Smoking is more prevalent in Charlotte at 13.9% compared to 11.7% in Orland park.
- More residents engage in binge drinking in Orland park at 20.2% compared to 17.5% in Charlotte.
- Obesity rates are higher in Charlotte at 34.7% compared to 26.8% in Orland park.
- There is a higher percentage of disabled individuals in Orland park at 11.0% compared to 8.0% in Charlotte.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Charlotte | Orland park |
|---|---|---|
| No Schooling | 1.2% (10,429) | 0.5% (297) |
| High School Diploma | 9.4% (84,002) | 16.1% (9,262) |
| Less than High School | 10.7% (95,990) | 8.3% (4,763) |
| Bachelor's Degree and Higher | 30.6% (274,311) | 31.9% (18,372) |
Education Levels Comparison: Charlotte vs Orland park
- A higher percentage of residents in Charlotte have no formal schooling at 1.2% compared to 0.5% in Orland park.
- In Orland park, the rate of residents with high school diplomas is higher at 16.1% compared to 9.4% in Charlotte.
- More residents in Charlotte have less than a high school education at 10.7% 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 30.6% in Charlotte.
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.