Demographics details for Freeport, IL vs Charlotte, NC
Population Overview
Compare main population characteristics in Freeport, IL vs Charlotte, NC.
| Data | Freeport | Charlotte |
|---|---|---|
| Population | 23,413 | 897,720 |
| Median Age | 43.4 years | 34.5 years |
| Median Income | $44,658 | $74,070 |
| Married Families | 35.0% | 33.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | 6.9 | 4.0 |
Population Comparison: Freeport vs Charlotte
- The population in Charlotte is higher at 897,720, compared to 23,413 in Freeport.
- Residents in Freeport have a higher median age of 43.4 years compared to 34.5 years in Charlotte.
- Charlotte has a higher median income of $74,070, compared to $44,658 in Freeport.
- A higher percentage of married families is found in Freeport at 35.0% compared to 33.0% in Charlotte.
- The poverty level is higher in Charlotte at 12%, compared to 0% in Freeport.
- The unemployment rate in Freeport is higher at 6.9%, compared to 4.0% in Charlotte.
Demographics
Demographics Freeport vs Charlotte provide insight into the diversity of the communities to compare.
| Demographic | Freeport | Charlotte |
|---|---|---|
| Black | 14 | 34 |
| White | 68 | 38 |
| Asian | 2 | 6 |
| Hispanic | 6 | 15 |
| Two or More Races | 10 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Freeport vs Charlotte
- In Charlotte, the percentage of Black residents is higher at 34% compared to 14% in Freeport.
- Freeport has a higher percentage of White residents at 68% compared to 38% in Charlotte.
- In Charlotte, the Asian population stands at 6%, greater than 2% in Freeport.
- Charlotte has a higher percentage of Hispanic residents at 15%, compared to 6% in Freeport.
- More residents identify as two or more races in Freeport at 10% compared to 7% in Charlotte.
- The percentage of American Indian residents is the same in both Freeport and Charlotte at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Freeport | Charlotte |
|---|---|---|
| Mental Health Not Good | 18.0% | 14.7% |
| Physical Health Not Good | 12.9% | 10.1% |
| Depression | 22.3% | 20.1% |
| Smoking | 20.6% | 13.9% |
| Binge Drinking | 15.9% | 17.5% |
| Obesity | 40.8% | 34.7% |
| Disability Percentage | 20.0% | 8.0% |
Health Statistics Comparison: Freeport vs Charlotte
- More residents in Freeport report poor mental health at 18.0% compared to 14.7% in Charlotte.
- Depression is more prevalent in Freeport at 22.3% compared to 20.1% in Charlotte.
- Smoking is more prevalent in Freeport at 20.6% compared to 13.9% in Charlotte.
- More residents engage in binge drinking in Charlotte at 17.5% compared to 15.9% in Freeport.
- Obesity rates are higher in Freeport at 40.8% compared to 34.7% in Charlotte.
- Disability percentages are higher in Freeport at 20.0% 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 | Freeport | Charlotte |
|---|---|---|
| No Schooling | 0.9% (206) | 1.2% (10,429) |
| High School Diploma | 19.8% (4,646) | 9.4% (84,002) |
| Less than High School | 12.2% (2,845) | 10.7% (95,990) |
| Bachelor's Degree and Higher | 12.9% (3,011) | 30.6% (274,311) |
Education Levels Comparison: Freeport vs Charlotte
- In Charlotte, a larger percentage of residents lack formal schooling at 1.2% compared to 0.9% in Freeport.
- A higher percentage of residents in Freeport hold a high school diploma at 19.8% compared to 9.4% in Charlotte.
- More residents in Freeport have less than a high school education at 12.2% compared to 10.7% in Charlotte.
- In Charlotte, a larger share of residents have a bachelor's degree or higher at 30.6% compared to 12.9% in Freeport.
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.