Demographics details for Norfolk, CT vs Sidney, IA
Population Overview
Compare main population characteristics in Norfolk, CT vs Sidney, IA.
Data | Norfolk | Sidney |
---|---|---|
Population | 1,685 | 1,037 |
Median Age | 52.0 years | 41.7 years |
Median Income | $76,382 | $64,500 |
Married Families | 44.0% | 31.0% |
Poverty Level | 4% | 10% |
Unemployment Rate | 2.7 | 3.0 |
Population Comparison: Norfolk vs Sidney
- In Norfolk, the population is higher at 1,685, compared to 1,037 in Sidney.
- Residents in Norfolk have a higher median age of 52.0 years compared to 41.7 years in Sidney.
- Norfolk has a higher median income of $76,382 compared to $64,500 in Sidney.
- A higher percentage of married families is found in Norfolk at 44.0% compared to 31.0% in Sidney.
- The poverty level is higher in Sidney at 10%, compared to 4% in Norfolk.
- Sidney has a higher unemployment rate at 3.0% compared to 2.7% in Norfolk.
Demographics
Demographics Norfolk vs Sidney provide insight into the diversity of the communities to compare.
Demographic | Norfolk | Sidney |
---|---|---|
Black | Data is updating | 1 |
White | 87 | 88 |
Asian | 1 | Data is updating |
Hispanic | 4 | 4 |
Two or More Races | 8 | 7 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Norfolk vs Sidney
- In Sidney, the percentage of Black residents is higher at 1% compared to 0% in Norfolk.
- The percentage of White residents is higher in Sidney at 88% compared to 87% in Norfolk.
- The Asian population is larger in Norfolk at 1% compared to 0% in Sidney.
- The percentage of Hispanic residents is the same in both Norfolk and Sidney at 4%.
- More residents identify as two or more races in Norfolk at 8% compared to 7% in Sidney.
- The percentage of American Indian residents is the same in both Norfolk and Sidney at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Norfolk | Sidney |
---|---|---|
Mental Health Not Good | Data is updating% | 16.4% |
Physical Health Not Good | Data is updating% | 10.7% |
Depression | Data is updating% | 20.0% |
Smoking | Data is updating% | 19.1% |
Binge Drinking | Data is updating% | 20.8% |
Obesity | Data is updating% | 39.2% |
Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Norfolk vs Sidney
- In Sidney, a higher percentage report poor mental health at 16.4% compared to 0.0% in Norfolk.
- Higher depression rates are seen in Sidney at 20.0% versus 0.0% in Norfolk.
- Sidney has a higher smoking rate at 19.1% compared to 0.0% in Norfolk.
- More residents engage in binge drinking in Sidney at 20.8% compared to 0.0% in Norfolk.
- Sidney has higher obesity rates at 39.2% compared to 0.0% in Norfolk.
- There is a higher percentage of disabled individuals in Sidney at 16.0% compared to 13.0% in Norfolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Norfolk | Sidney |
---|---|---|
No Schooling | 0.2% (3) | 0.0% (Data is updating) |
High School Diploma | 16.3% (275) | 20.9% (217) |
Less than High School | 6.8% (115) | 8.1% (84) |
Bachelor's Degree and Higher | 36.2% (610) | 11.6% (120) |
Education Levels Comparison: Norfolk vs Sidney
- A higher percentage of residents in Norfolk have no formal schooling at 0.2% compared to 0.0% in Sidney.
- In Sidney, the rate of residents with high school diplomas is higher at 20.9% compared to 16.3% in Norfolk.
- The percentage of residents with less than a high school education is higher in Sidney at 8.1%, 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 11.6% in Sidney.
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.