Demographics details for Saucier, MS vs Norfolk, CT
Population Overview
Compare main population characteristics in Saucier, MS vs Norfolk, CT.
Data | Saucier | Norfolk |
---|---|---|
Population | 1,199 | 1,685 |
Median Age | 41.3 years | 52.0 years |
Median Income | $67,742 | $76,382 |
Married Families | 32.0% | 44.0% |
Poverty Level | 11% | 4% |
Unemployment Rate | 4.2 | 2.7 |
Population Comparison: Saucier vs Norfolk
- The population in Norfolk is higher at 1,685, compared to 1,199 in Saucier.
- The median age in Norfolk is higher at 52.0 years, compared to 41.3 years in Saucier.
- Norfolk has a higher median income of $76,382, compared to $67,742 in Saucier.
- In Norfolk, the percentage of married families is higher at 44.0%, compared to 32.0% in Saucier.
- Saucier has a higher poverty level at 11% compared to 4% in Norfolk.
- The unemployment rate in Saucier is higher at 4.2%, compared to 2.7% in Norfolk.
Demographics
Demographics Saucier vs Norfolk provide insight into the diversity of the communities to compare.
Demographic | Saucier | Norfolk |
---|---|---|
Black | Data is updating | Data is updating |
White | 100 | 87 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 4 |
Two or More Races | Data is updating | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Saucier vs Norfolk
- The percentage of Black residents is the same in both Saucier and Norfolk at 0%.
- Saucier has a higher percentage of White residents at 100% compared to 87% in Norfolk.
- In Norfolk, the Asian population stands at 1%, greater than 0% in Saucier.
- Norfolk has a higher percentage of Hispanic residents at 4%, compared to 0% in Saucier.
- The percentage of residents identifying as two or more races is higher in Norfolk at 8%, compared to 0% in Saucier.
- The percentage of American Indian residents is the same in both Saucier and Norfolk at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Saucier | Norfolk |
---|---|---|
Mental Health Not Good | 18.0% | Data is updating% |
Physical Health Not Good | 12.6% | Data is updating% |
Depression | 25.6% | Data is updating% |
Smoking | 22.9% | Data is updating% |
Binge Drinking | 16.3% | Data is updating% |
Obesity | 34.0% | Data is updating% |
Disability Percentage | 15.0% | 13.0% |
Health Statistics Comparison: Saucier vs Norfolk
- More residents in Saucier report poor mental health at 18.0% compared to 0.0% in Norfolk.
- Depression is more prevalent in Saucier at 25.6% compared to 0.0% in Norfolk.
- Smoking is more prevalent in Saucier at 22.9% compared to 0.0% in Norfolk.
- Binge drinking is more common in Saucier at 16.3% compared to 0.0% in Norfolk.
- Obesity rates are higher in Saucier at 34.0% compared to 0.0% in Norfolk.
- Disability percentages are higher in Saucier at 15.0% 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 | Saucier | Norfolk |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.2% (3) |
High School Diploma | 29.9% (359) | 16.3% (275) |
Less than High School | 6.3% (76) | 6.8% (115) |
Bachelor's Degree and Higher | 7.0% (84) | 36.2% (610) |
Education Levels Comparison: Saucier vs Norfolk
- In Norfolk, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Saucier.
- A higher percentage of residents in Saucier hold a high school diploma at 29.9% compared to 16.3% in Norfolk.
- The percentage of residents with less than a high school education is higher in Norfolk at 6.8%, compared to 6.3% in Saucier.
- In Norfolk, a larger share of residents have a bachelor's degree or higher at 36.2% compared to 7.0% in Saucier.
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.