Demographics details for Saucier, MS vs Cambridge, OH
Population Overview
Compare main population characteristics in Saucier, MS vs Cambridge, OH.
Data | Saucier | Cambridge |
---|---|---|
Population | 1,199 | 9,985 |
Median Age | 41.3 years | 35.1 years |
Median Income | $67,742 | $39,589 |
Married Families | 32.0% | 28.0% |
Poverty Level | 11% | 16% |
Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Saucier vs Cambridge
- The population in Cambridge is higher at 9,985, compared to 1,199 in Saucier.
- Residents in Saucier have a higher median age of 41.3 years compared to 35.1 years in Cambridge.
- Saucier has a higher median income of $67,742 compared to $39,589 in Cambridge.
- A higher percentage of married families is found in Saucier at 32.0% compared to 28.0% in Cambridge.
- The poverty level is higher in Cambridge at 16%, compared to 11% in Saucier.
- Cambridge has a higher unemployment rate at 4.5% compared to 4.2% in Saucier.
Demographics
Demographics Saucier vs Cambridge provide insight into the diversity of the communities to compare.
Demographic | Saucier | Cambridge |
---|---|---|
Black | Data is updating | 6 |
White | 100 | 88 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 2 |
Two or More Races | Data is updating | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Saucier vs Cambridge
- In Cambridge, the percentage of Black residents is higher at 6% compared to 0% in Saucier.
- Saucier has a higher percentage of White residents at 100% compared to 88% in Cambridge.
- Both Saucier and Cambridge have the same percentage of Asian residents at 0%.
- Cambridge has a higher percentage of Hispanic residents at 2%, compared to 0% in Saucier.
- The percentage of residents identifying as two or more races is higher in Cambridge at 4%, compared to 0% in Saucier.
- The percentage of American Indian residents is the same in both Saucier and Cambridge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Saucier | Cambridge |
---|---|---|
Mental Health Not Good | 18.0% | 20.4% |
Physical Health Not Good | 12.6% | 15.1% |
Depression | 25.6% | 25.9% |
Smoking | 22.9% | 26.2% |
Binge Drinking | 16.3% | 16.9% |
Obesity | 34.0% | 46.4% |
Disability Percentage | 15.0% | 19.0% |
Health Statistics Comparison: Saucier vs Cambridge
- In Cambridge, a higher percentage report poor mental health at 20.4% compared to 18.0% in Saucier.
- Higher depression rates are seen in Cambridge at 25.9% versus 25.6% in Saucier.
- Cambridge has a higher smoking rate at 26.2% compared to 22.9% in Saucier.
- More residents engage in binge drinking in Cambridge at 16.9% compared to 16.3% in Saucier.
- Cambridge has higher obesity rates at 46.4% compared to 34.0% in Saucier.
- There is a higher percentage of disabled individuals in Cambridge at 19.0% compared to 15.0% in Saucier.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Saucier | Cambridge |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.7% (73) |
High School Diploma | 29.9% (359) | 25.1% (2,502) |
Less than High School | 6.3% (76) | 17.3% (1,732) |
Bachelor's Degree and Higher | 7.0% (84) | 8.8% (875) |
Education Levels Comparison: Saucier vs Cambridge
- In Cambridge, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Saucier.
- A higher percentage of residents in Saucier hold a high school diploma at 29.9% compared to 25.1% in Cambridge.
- The percentage of residents with less than a high school education is higher in Cambridge at 17.3%, compared to 6.3% in Saucier.
- In Cambridge, a larger share of residents have a bachelor's degree or higher at 8.8% 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.