Demographics details for Norfolk, CT vs Addison, IL
Population Overview
Compare main population characteristics in Norfolk, CT vs Addison, IL.
| Data | Norfolk | Addison |
|---|---|---|
| Population | 1,685 | 35,127 |
| Median Age | 52.0 years | 40.1 years |
| Median Income | $76,382 | $82,547 |
| Married Families | 44.0% | 43.0% |
| Poverty Level | 4% | 5% |
| Unemployment Rate | 2.7 | 5.6 |
Population Comparison: Norfolk vs Addison
- The population in Addison is higher at 35,127, compared to 1,685 in Norfolk.
- Residents in Norfolk have a higher median age of 52.0 years compared to 40.1 years in Addison.
- Addison has a higher median income of $82,547, compared to $76,382 in Norfolk.
- A higher percentage of married families is found in Norfolk at 44.0% compared to 43.0% in Addison.
- The poverty level is higher in Addison at 5%, compared to 4% in Norfolk.
- Addison has a higher unemployment rate at 5.6% compared to 2.7% in Norfolk.
Demographics
Demographics Norfolk vs Addison provide insight into the diversity of the communities to compare.
| Demographic | Norfolk | Addison |
|---|---|---|
| Black | Data is updating | 4 |
| White | 87 | 32 |
| Asian | 1 | 9 |
| Hispanic | 4 | 42 |
| Two or More Races | 8 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Norfolk vs Addison
- In Addison, the percentage of Black residents is higher at 4% compared to 0% in Norfolk.
- Norfolk has a higher percentage of White residents at 87% compared to 32% in Addison.
- In Addison, the Asian population stands at 9%, greater than 1% in Norfolk.
- Addison has a higher percentage of Hispanic residents at 42%, compared to 4% in Norfolk.
- The percentage of residents identifying as two or more races is higher in Addison at 12%, compared to 8% in Norfolk.
- In Addison, the percentage of American Indian residents is higher at 1%, compared to 0% in Norfolk.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Norfolk | Addison |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.2% |
| Physical Health Not Good | Data is updating% | 10.8% |
| Depression | Data is updating% | 17.7% |
| Smoking | Data is updating% | 14.9% |
| Binge Drinking | Data is updating% | 15.5% |
| Obesity | Data is updating% | 35.0% |
| Disability Percentage | 13.0% | 10.0% |
Health Statistics Comparison: Norfolk vs Addison
- In Addison, a higher percentage report poor mental health at 14.2% compared to 0.0% in Norfolk.
- Higher depression rates are seen in Addison at 17.7% versus 0.0% in Norfolk.
- Addison has a higher smoking rate at 14.9% compared to 0.0% in Norfolk.
- More residents engage in binge drinking in Addison at 15.5% compared to 0.0% in Norfolk.
- Addison has higher obesity rates at 35.0% compared to 0.0% in Norfolk.
- Disability percentages are higher in Norfolk at 13.0% compared to 10.0% in Addison.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Norfolk | Addison |
|---|---|---|
| No Schooling | 0.2% (3) | 2.1% (744) |
| High School Diploma | 16.3% (275) | 19.0% (6,671) |
| Less than High School | 6.8% (115) | 27.2% (9,554) |
| Bachelor's Degree and Higher | 36.2% (610) | 17.1% (6,014) |
Education Levels Comparison: Norfolk vs Addison
- In Addison, a larger percentage of residents lack formal schooling at 2.1% compared to 0.2% in Norfolk.
- In Addison, the rate of residents with high school diplomas is higher at 19.0% compared to 16.3% in Norfolk.
- The percentage of residents with less than a high school education is higher in Addison at 27.2%, compared to 6.8% in Norfolk.
- A higher percentage of residents in Norfolk hold a bachelor's degree or higher at 36.2% compared to 17.1% in Addison.
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.